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39 Information Systems Dissertation Topics Ideas

As the name depicts, information systems dissertation topics revolve around the information technology sphere of organizations and industries. Information systems research topics include both primary as well as secondary levels of research studies and their complexities differ in accordance with the academic and degree levels at hand. Other Related Post Computer science dissertation topics Internet […]

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Best Information Systems Dissertation Topics Ideas for College Students

Given below is an extensive and enriched list of information systems thesis topics for our clients so that they go through the list and find something as per their interest and priority:

A historical analysis of information systems management: focus on the past three decades.
The role played by leadership, alignment, and planning in the domain of information systems management.
Research in information systems management: focus on post-COVID time period.
International information systems management: potential challenges and risks involved.
Information policy and international information systems management: a systematic analysis.
Information systems management and global operations: a review of the literature.
Importance of case studies and integrated projects in teaching information systems management.
A comparative analysis of practitioners and academicians in the field of information systems management.
How information technology supports businesses: the role played by information systems management.
Information systems management practices: a descriptive analysis.
Information systems management and the public sector: focus on the key issues.
Utilization of consumer internet data: ethics in information systems management.
Software development: groupware and problem-solving in a correlational analysis.
Research in the field of information systems management: focus on new innovations and ideas.
Cognition digital twins for personalized information systems of smart cities: Proof of concept
Information management systems: comparing private and public organizations in country X.
Machine learning-based diagnosis of diseases using the unfolded EEG spectra: toward an intelligent software sensor.
Relationship between information systems management and risk management systems: a comparative analysis.
Judging the IT department performance in an organization through information systems management.
Information systems management graduate school curriculums: a descriptive study.
Relationship between organizational learning and information systems management: a systematic analysis.
Quality management in the domain of information systems: a descriptive analysis.
Management of big data in developing countries of the world: a review of the literature.
Strategic information systems management: focus on the role of a balanced scorecard.
Delivery of information system: formation of a hypothetical framework.
Information quality management framework: a review of the literature.
Information systems hierarchy: a systematic analysis.
Importance of big data and business intelligence for the sustainable development in organizations: a UK-based approach.
Correlation between information systems management and risk management infrastructure to attain business risk resilience.
Effects of COVID-19 pandemic on the information systems management of X country.
Role of structured versus unstructured data in the domain of information systems management.
Business intelligence and information systems management: a review of the literature.
Effects of information systems on organizational performance: pre and post COVID analysis.
The Determinants of management information systems effectiveness in small-and medium-sized enterprises.
IT governance implementation and information systems management.
IS strategic planning and management services: a descriptive review.
Information system security at international levels: a review of the literature.
Developing a hypothetical model for measuring quality in information systems management.
The effects of information systems compatibility on firm performance following mergers and acquisitions
Implications of Knowledge Organization Systems for Health Information Exchange and Communication during the COVID-19 Pandemic

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Department of Technology, Operations, and Statistics | Doctoral Program in Information Systems

Doctoral program in information systems.

Overview of the Doctoral Program in Information Systems

Program Requirements

Doctoral Courses

Doctoral Students and their Research
Information Systems Faculty

Overview of the IS Doctoral Program

Mission: To educate and train scholars who will produce first-rate IS research and who will succeed as faculty members in first-rate universities. We offer tracks in technical perspectives on IS, economic perspectives on IS, and organizational/management perspectives on IS. Admissions and performance: We enroll an average of three students each year out of more than 100 highly qualified applicants. Students enrolling typically have GMATS over 700 or GREs over 1400. International students typically have TOEFLs higher than 640. Our students are highly competitive within Stern and nationally. Recently our students have received school-wide awards as "outstanding doctoral students." They have won acceptance at doctoral consortia sponsored by the Academy of Management and the International Conference on Information Systems. And they have won national dissertation research competitions.

Advising and evaluation: The IS doctoral program faculty director advises all first-year doctoral students. During the first year students have many opportunities to get to know the research interests of all departmental faculty. By the beginning of the second year, students have selected a concentration advisor who will guide them through the comprehensive exam process and up to the thesis stage. By the middle of the third year students will have selected a thesis advisor. Each year every student submits a statement of intellectual progress to his/her advisor. All faculty meet to review the progress of all students in a day-long meeting each year. At this time, the student's intellectual progress is reviewed and plans for the following year are considered. The results of this review include a formal letter to the student assessing the previous year's work and offering guidance for the following year's work. All students take a comprehensive written and oral exam at the end of the second year. Students defend their thesis proposal by March of their fourth year and defend their completed dissertation at the end of the fourth year or during the fifth year.

Research and interaction with faculty: The heart of the IS doctoral program is immersion in a community of researchers. Every student has a formal research apprenticeship with one or more faculty members each year. Every student participates in formal and informal research seminars each week with departmental faculty and visitors. Every student presents research in progress and works toward producing publishable papers, usually with a faculty co-author. Students learn to be researchers by doing research. They learn to be research colleagues by working with others and critiquing their research.

Placement record: In the past ten years, our graduates have accepted faculty positions at such schools as University of California at Berkeley, Hong Kong University of Science & Technology, University of Maryland, University of Minnesota, University of Texas at Austin, the University of British Columbia, National University of Singapore, The Wharton School and the University of Cambridge, UK. Please click on the links on the right to learn how to apply, to attend an information session, and to contact the Stern School Doctoral Office.

Natalia Levina Coordinator, Information Systems Doctoral Program IOMS Department

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All students take a common core of courses during their first year which provides an overview of the major research areas in IS and the fundamental knowledge necessary for specialized course work in the second year. In the second year students take specialized course work in one of three concentrations: technical perspectives, economic perspectives, behavioral/managerial perspectives.

Mandatory Breadth Courses (3)

Behavioral Research Methods
Micro-economics
Technical Foundations
Each student is required to take 1 Probability and 1 Statistics course, from a list of approved courses.
Technical Research in IS
Economics Research in IS
Behavioral/Managerial Research in IS
Research Apprenticeship

YEAR TWO - Each student chooses one concentration track

Technical Track:

A programming requirement, may be satisfied in a variety of ways
Honors Analysis of Algorithms
Artificial Intelligence
Optimization
Database Systems
Machine Learning/Data Mining
Other courses based on student's interest
Research apprenticeship

Economics Track:

Mathematical Methods for Economists
Econometrics
Game Theory
Students will take elective courses in the Stern Economics Department, at the Graduate School of Arts and Sciences, in Operations Management, Statistics, or at Courant as specified in consultation with the advisor

Behavioral/Managerial Track:

Any two of the following four Stern Management Department Courses
Organizational Behavior
Managerial Cognition
Organizational Theory
At least one research methods or statistics course beyond the first year courses.
Students may take doctoral level courses in Psychology, Sociology, Political Science, Public Policy, History, Education, or Law.
Electives in the area of interest
Thesis research
Teaching apprenticeship (in year 3 or 4)
Teaching one course (in year 3 or 4)
INFO-GB.3345 (B20.3345) Doctoral Seminar in Digital Economics (offered in Spr 2012) This course introduces students to scientific paradigms and research perspectives related to the economics of information technologies. Topics in 2012 include information goods, piracy, digital rights management, network economics, sponsored search auctions, user-generated content, contagion in networks, technological innovation, IT productivity, the digital commons and online privacy.
INFO-GB.3382 (B20.3382) Research Seminar on IT and Organizations: Social Perspectives (offered in Spr 2012) The course introduces students to sociological and organizational literature on the role of Information Technology in organizations and society.
INFO-GB.3383 (B20.3383) Networks, Crowds & Markets
INFO-GB.3386 (B20.3386) Technical Foundations of IS
INFO-GB.3355 (B20.3355) Behavioral Research Methods
INFO-GB.3391 (B20.3391) Research Seminar in Data Science (offered in Spr 2012) In this course we will take a deep dive into selected topics in data science. The focus will be two-fold. First, we will read textbook segments, classic papers, and new research, with the goal of understanding research in data science. Second, we will study the actual practical application of data science methods to extract knowledge from large-scale data. We will cover topics such as machine learning, data mining, information retrieval, text classification, sentiment analysis, similarity analysis, network analysis, graphical models, Bayesian models, topic models, model evaluation, crowd-sourcing and micro-outsourcing, massive-scale data processing, reducing data for analytic purposes, and more. The selection of which topics are covered in a particular semester will be based on: (i) the current research and business environments, (ii) the research interests of the IS faculty, and (iii) the interests of the students in that semester. We also will discuss applications that are of current interest, such as recommender systems, social-network marketing, online advertising, Mechanical Turking, and more.

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RESEARCH AT THE LEADING EDGE

Doctoral Studies in Information Systems & Management

Ph.D. Studies in Information Systems & Management

The doctoral program in Information Systems & Management at Carnegie Mellon University's Heinz College prepares students with a deep understanding of the technical and organizational aspects of information systems.

At Heinz, we live and work at the critical nexus of information technology and public policy. Our Ph.D. in Information Systems & Management was created to train scholars to conduct innovative research that cuts across disciplines in order to address significant challenges in IT theory, strategy, management, and design as it relates to business and policy settings.

Heinz College Ph.D. students enjoy close partnerships with faculty as they explore the complex and exciting interconnectedness of information systems, public policy, and management. Upon graduating, our Ph.D.s receive desirable placements at academic institutions, government agencies, and consulting firms.

KEY RESEARCH AREAS

Doctoral students take on a broad range of topics and problems, but some key areas of strength at Heinz College include:

As technology enables most content to be digitized, it is also upending business models, competition, and policy needs. From electronic health records, to streaming music and videos, to online social networks, digitization is rapidly affecting every part of the user experience, generating new jobs, and displacing old ones. Our faculty is working on a variety of projects under this broad umbrella. Some major projects are examining the role of social networks, online piracy, digital distribution, impact of mobile, the role of online education, and so on. Faculty and students use variety of methods like field experiments, analytical and structural models to study these questions.

Michael D. Smith and Rahul Telang are world recognized experts on the media industry and copyright policies who also head the IDEA research center.

Beibei Li is an expert on social media, mobile marketing, and understanding individuals’ online and offline decision making.

Pedro Ferreira works on how people use technology in media and education, and is an expert on running randomized experiments.

Ramayya Krishnan applies operations research tools to a variety of problems in this domain.

Our world-renowned faculty extensively works with both private firms and policy makers.

We have multiple research centers like IDEA , LARC , and iLab which collect large quantities of data to examine these issues.

Growth of big data has offered opportunities for development and application of novel statistical and computational methods for solving societal problems such as crime, policing, fraud detection, health care and more. To be able to use this data requires cutting edge work on developing new methods and machine learning algorithms. Heinz College has some of the top faculty who work at the intersection of machine learning and public policy.

Some key faculty members working in this space are Leman Akoglu , George Chen , Jeremy Weiss , and David Choi . Each of them is working on problems that intersect the need to use Machine Learning method to solve critical societal problems.

We also offer a joint degree in Machine Learning and Public Policy.

Data security and privacy has increasingly become a complex issue that goes beyond mere technology. Faculty at Heinz College are working on understanding users’ security and privacy decisions using economics, behavioral economics, and data analytics frameworks. This leading edge research is at the forefront of designing better tools and better regulations.

Alessandro Acquisti is an expert on economics of privacy and has done path-breaking work in this space.

Rahul Telang ’s work illustrates that firms may not do enough to protect user data, and highlights how we should design our policies.

Leman Akoglu uses large-scale data to understand our security and privacy vulnerabilities.

This group also works closely with faculty from CyLab , an interdisciplinary research center. This work is highly influential, widely cited, and extensively funded.

This group's research is motivated by information technology's important role in improving health care for patients, hospitals, and doctors. Technology is extensively used in detecting outbreaks, in providing superior quality of care at lower costs, and in prevention of medical errors.

Rema Padman studies IT adoption in hospitals and physical practices.

Rahul Telang studies the role of electronic health records.

Martin Gaynor is a world-renowned expert on health policy and examines how technology can help improve policy outcomes.

Amelia Haviland examines the role of insurance policies and how they affect patient welfare.

As in other domains, our work on health care and IT is highly influential and has led to significant publications and extensive funding.

Ph.D. Curriculum

The pre-dissertation stage of the Ph.D. in Information Systems & Management is structured around two sets of requirements: coursework and preliminary papers.

Coursework is designed to build methodological skills, modeling competence, and substantive depth.

Preliminary papers illustrate your ability to produce effective research that exhibits your readiness to begin the dissertation.

A three-semester Ph.D. Seminar Series focusing on the research process
Two semesters of Advanced Electives offering depth in specialized fields
Quantitative Methods Cluster of courses in statistics, econometrics, and machine learning
Two semesters of coursework in Social and Policy Sciences
Concentration Area Requirement , combining research and courses to support your research agenda and long-term professional objectives
Two semester-long Technology Classes

Admission to candidacy means that all requirements of the Ph.D. program preliminary to the dissertation have been fulfilled. In addition to satisfying all coursework requirements, you must also meet the following research requirements:

First- and second-year Research Papers meeting current Ph.D. requirements
Dissertation focused on Information Systems topic as per judgment of Ph.D. committee

While fulfilling these requirements, you'll work closely with the faculty to develop individualized programs of study and research that meet your goals.

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Table of Contents
Director's Message

Research Rankings

Student publications.

Admissions Procedures

Program at a Glance

This program is designed for students who seek training in advanced theoretical and applied issues in the field of information systems. The training prepares students for conducting leading-edge research in topics ranging from the design of optimized systems to the effective use of such systems in organizations. Students undergo rigorous training in research methodologies, as well as in the design of information systems. The research conducted is often interdisciplinary in nature and is characterized by strong analytical or econometric modeling of new and emerging issues in information technology management and creation. The program prepares students mainly for academic positions in research universities; some students may be placed in research positions in industry, government or consulting organizations.

The PhD in Information Systems program is characterized by a high ratio of research faculty to students, which fosters close working relationships. Students have the opportunity to be involved in ongoing faculty research projects under the mentorship of experienced professors. The close interaction with faculty enables students to quickly learn to identify and develop research ideas and create their own research agenda. Students also develop their teaching skills under faculty mentorship by teaching organized classes.

Successful candidates must possess a strong aptitude for abstract thinking and quantitative analysis to address relevant business problems. Students admitted into the PhD in Information Systems program devote the first few years to coursework and research projects, preparing for the qualifying examinations and developing their preliminary dissertation proposal. The next one to two years are devoted to dissertation research and writing. Students must complete at least 75 semester hours of approved graduate work before a degree may be conferred. Credit may be granted for courses taken elsewhere.

Program Contact

Srinivasan Raghunathan, PhD

Ashbel smith professor phd area coordinator, information systems.

[email protected] | (972) 883-4377 | JSOM 3.425

The Information Systems Doctoral program at the Naveen Jindal School of Management offers an outstanding opportunity for research in the Information Systems discipline. Our faculty’s research productivity usually ranks at the top in the world. More importantly, we work at the forefront of a variety of research topics and methodologies. Come join us to make this program even stronger!

Presently ranked #1 worldwide in research based on publications in three information systems journals, our Information Systems faculty are distinguished, pioneering researchers.

Faculty research pursuits range from quantitative modeling to empirical studies, mathematical programming, applied stochastic processes, statistics, econometrics, and economics.

With analytical depth and methodology, drawing from disciplines such as economics, operations research and econometrics, their research is both prevalent and employed in today’s rapidly changing technological world.

The UT Dallas Top 100 Worldwide Rankings of Business Schools based on Research Contributions in Information Systems Research, Journal on Computing, MIS Quarterly , 2017–2021.

Advanced and rigorous coursework, methodology and design, and significant placement on student research are the hallmarks of the Information Systems program.

The Information Systems program is characterized by a high ratio of research faculty to students which fosters close collaboration. Students have the opportunity to be involved in ongoing research projects under the mentorship of renown, distinguished faculty.

The program is designed for students to develop a strong aptitude for abstract thinking and quantitative analysis to address relevant business problems for their careers in academia or industry.

As shown in the table below, our Information Systems students have obtained top academic and industry appointments.

The close interaction with faculty enables students to quickly learn to identify and develop research ideas and create their own research agenda. Students also develop their teaching skills under faculty mentorship by teaching organized classes.

Below are examples of student publications in 24 leading business journals from 2017-2021.

Abhijeet Ghoshal , Atanu Lahiri, Debabrata Dey, 2021. “Support forums and software vendor’s pricing strategy.” Information Systems Research , vol. 32.

Srinivasan Raghunathan, Mehmet Ayvaci, YeongIn Kim , Huseyin Cavusoglu , 2021. “Designing payment contracts for healthcare services to induce information sharing: the adoption and the value of health information exchanges (hies).” MIS Quarterly , vol. 45.

Subodha Kumar , Min Chen , Min-Seok Pang, 2021. “Do you have room for us in your IT? An economic analysis of shared IT services and implications for IT industries.” MIS Quarterly , vol. 45.

Young Kwark , Liangfei Qiu, Gene Moo Lee, Paul A. Pavlou, 2021. “On the spillover effects of online product reviews on purchases: evidence from clickstream data.” Information Systems Research , vol. 32.

Sirong Luo, Dengpan Liu , Radha Mookerjee, 2021. “The effects of auction-based pricing mechanisms and social characteristics on microloan performance.” Productions and Operations Management , vol. 30.

Ganesh Janakiraman, Sameer Mehta , Vijay Mookerjee, Milind Dawande, 2021. “How to sell a data set? Pricing policies for data monetization.” Information Systems Research , vol. 32.

Jiahui Mo , Sumit Sarkar, Syam Menon, 2021. “Competing tasks and task quality: an empirical study of crowdsourcing contests.” MIS Quarterly , vol 45.

Murat M. Tunc , Huseyin Cavusoglu , Srinivasan Raghunathan, 2021. “Online product reviews: is a finer-grained rating scheme superior to a coarser one?” MIS Quarterly , vol. 45.

Mingwen Yang , Zhiqiang (Eric) Zheng, Vijay Mookerjee, 2021. “The race for online reputation: implications for platforms, firms, and consumers.” Information Systems Research , vol. 32.

Mingwen Yang , Varghese S. Jacob, Srinivasan Raghunathan, 2021. “Cloud service model’s role in provider and user security investment incentives.” Production and Operations Management , vol. 30.

Milind Dawande, Ganesh Janakiraman, Manmohan Aseri , Vijay S. Mookerjee, 2020. “Ad-blockers: a blessing or a curse?” Information Systems Research , vol. 31.

Chenzhang Bao , Kirk Kirksey, Indranil R. Bardhan, Bruce A. Myers, Harpreet Singh, 2020. “Patient–provider engagement and its impact on health outcomes: a longitudinal study of patient portal use.” MIS Quarterly , vol. 44.

Leila Hosseini , Vijay Mookerjee, Chelliah Sriskandarajah, Shaojie Tang, 2020. “A switch in time saves the dime: a model to reduce rental cost in cloud computing.” Information Systems Research , vol. 31.

Jianqing Chen, Srinivasan Raghunathan, Lusi Li , 2020. “Informative role of recommender systems in electronic marketplaces: a boon or a bane for competing sellers.” MIS Quarterly , vol. 44.

Sameer Mehta , Vijay Mookerjee, Milind Dawande, Ganesh Janakiraman, 2020. “Sustaining a good impression: mechanisms for selling partitioned impressions at ad exchanges.” Information Systems Research , vol. 31.

Zhiqiang (Eric) Zheng, Danish H. Saifee , Atanu Lahiri, Indranil R. Bardhan, 2020. “Are online reviews of physicians reliable indicators of clinical outcomes? a focus on chronic disease management.” Information Systems Research , vol. 31.

Ying Xie, Jayarajan Samuel , Zhiqiang (Eric) Zheng, 2020. “Value of local showrooms to online competitors.” MIS Quarterly , vol. 44.

Jyotishka Ray , Syam Menon, Vijay Mookerjee, 2020. “Bargaining over data: when does making the buyer more informed help?” Information Systems Research , vol. 31.

Zhiqiang (Eric) Zheng, Vijay Mookerjee, Mingwen Yang , 2019. “Prescribing response strategies to manage customer opinions: a stochastic differential equation approach.” Information Systems Research , vol. 30.

Zhengrui Jiang , Dipak C Jain, Xinxue Shawn Qu, 2019. “Optimal market entry timing for successive generations of technological innovations.” MIS Quarterly , vol. 43.

Xinxue Shawn Qu, Zhengrui Jiang, 2019. “A time-based dynamic synchronization policy for consolidated database systems.” MIS Quarterly , vol. 43.

Byungwan, Koh , Il-Horn Hann, Srinivasan Raghunathan, 2019. “Digitization of music: consumer adoption amidst piracy, unbundling, and rebundling.” MIS Quarterly , vol. 43.

Milind Dawande, Ganesh Janakiraman, Zhen Sun , Vijay Mookerjee, 2019. “Data-driven decisions for problems with an unspecified objective function.” Journal on Computing , vol. 31.

Yue Zhang , Jian-Yu Fisher Ke, Nan Hu , Ling Liu, 2019. “Risk pooling, supply chain hierarchy, and analysts’ forecasts.” Production and Operations Management , vol. 28.

Vijay Mookerjee, Milind Dawande, Ganesh Janakiraman, Manmohan Aseri , 2018. “Procurement policies for mobile-promotion platforms.” Management Science , vol. 64.

Srinivasan Raghunathan, Lusi Li , Jianqing Chen, 2018. “Recommender system rethink: implications for an electronic marketplace with competing manufacturers.” Information Systems Research , vol. 29.

Srinivasan Raghunathan, Young Kwark , Jianqing Chen, 2018. “User-generated content and competing firms product design.” Management Science , vol. 64.

Vijay Mookerjee, Yong Tan, Depngpan Liu , 2018. “When can ignorance be bliss: organizational structure and coordination in electronic retailing.” Information Systems Research , vol. 29.

Vijay Mookerjee, Dengpan Liu , 2018. “Advertising competition on the internet: operational and strategic considerations.” Production and Operations Management , vol. 27.

Mingzheng Wang, Yu Zhang, Zhengrui Jiang , Haifang Yang, 2018. “T-closeness slicing: a new privacy-preserving approach for transactional data publishing.” Journal on Computing , vol. 30.

Sarkar, Sumit, Menon, Syam, Mo, Jiahui , 2018. “Know when to run: recommendations in crowdsourcing contests.” MIS Quarterly , vol. 42.

Feng, Haiyang, Jiang, Zhengrui , Liu, Dengpan . “Quality, pricing, and release time: optimal market entry strategy for software-as-a-service vendors.” MIS Quarterly , 2018, vol. 42.

Bardhan, Indranil, Zheng, Zhiqiang, Ayabakan, Sezgin . “A data envelopment analysis approach to estimate it-enabled production capability.” MIS Quarterly , 2017, vol. 41.

Janakiraman, Ganesh, Sun, Zhen , Mookerjee, Vijay, Dawande, Milind. “Not just a fad: optimal sequencing in mobile in-app advertising.” Information Systems Research , 2017, vol. 28.

Ghoshal, Abhijeet , Lahiri, Atanu, Dey, Debabrata. “Drawing a line in the sand: Commitment problem in ending software support.” MIS Quarterly , 2017, vol. 41.

Mookerjee, Vijay, Cai, Yuanfeng, Jiang, Zhengrui . “How to deal with liars? Designing intelligent rule-based expert systems to increase accuracy or reduce cost.” Journal on Computing , 2017, vol. 29.

Nault, Barrie, Raghunathan, Srinivasan, Koh, Byungwan . “Is voluntary profiling welfare enhancing?” MIS Quarterly , 2017, vol. 41.

Raghunathan, Srinivasan, Cezar, Asunur , Cavusoglu, Huseyin. “Sourcing information security operations: the role of risk interdependency and competitive externality in outsourcing decisions.” Production and Operations Management , 2017, vol. 26.

Raghunathan, Srinivasan, Kwark, Young , Chen, Jianqing. “Platform or wholesale? A strategic tool for online retailers to benefit from third-party information.” MIS Quarterly , 2017, vol. 41.

Ray, Jyotishka , Samuel, Jayarajan , Menon, Syam, Mookerjee, Vijay. “The design of feature-limited demonstration software: choosing the right features to include.” Production and Operations Management , 2017, vol. 26.

Zhang, Jie, Hu, Nan , Pavlou, Paul. “On self-selection biases in online product reviews.” MIS Quarterly , 2017, vol. 41.

Zheng, Zhiqiang, Ayabakan, Sezgin , Kirksey, Kirk, Bardhan, Indranil. “The impact of health information sharing on duplicate testing.” MIS Quarterly , 2017, vol. 41.

Chen, Hongyu , Zheng, Zhiqiang, Ceran, Yasin. “De-biasing the reporting bias in social media analytics.” Production and Operations Management , 2016, vol. 25.

Hann, Il-Horn, Koh, Byungwan , Niculescu, Marius. “The double-edged sword of backward compatibility: the adoption of multigenerational platforms in the presence of intergenerational services.” Information Systems Research , 2016, vol. 27.

Janakiraman, Ganesh, Sun, Zhen , Mookerjee, Vijay, Dawande, Milind. “The making of a good impression: information hiding in ad exchanges.” MIS Quarterly, 2016, vol. 40.

Lee, Chul Ho , Geng, Xianjun, Raghunathan, Srinivasan. “Mandatory standards and organizational information security.” Information Systems Research , 2016, vol. 27.

Mookerjee, Vijay, Ceran, Yasin , Singh, Harpreet. “Knowing what your customer wants: improving inventory allocation decisions in online movie rental systems.” Production and Operations Management , 2016, vol. 25.

Xia, Hao , Dawande, Milind, Mookerjee, Vijay. “Optimal coordination in distributed software development.” Production and Operations Management , 2016, vol. 25.

Admission Procedures

Applicants should have at least a bachelor’s degree. Admission is based on grade point average, graduate examination test score (GMAT* or GRE), letters of reference (at least three, with two from academic references), business and professional experience (if applicable), a written statement of personal objectives and compatibility with faculty research activities. Since the School of Management starts making first-round admission decisions on December 9, it is best to complete the entire application process no later than December 8. While applications will be accepted after that date, applying after December 8 may significantly lower your chance of acceptance. Applications for admission can be made using the UT Dallas Graduate Application website .

* UT Dallas Naveen Jindal School of Management prefers the GMAT admission test, however, we gladly accept the GRE test as well.

Degree Requirements

Calculus, matrix algebra, computer programming and statistics are prerequisites for the doctoral program – every admitted student is responsible for ensuring he/she has satisfied these prerequisite requirements before joining the program.

Doctoral students in Management Science benefit from an exposure to multiple functional areas in management. To ensure this benefit, students who enter the program without an MBA (or equivalent degree) are required to complete a combined minimum of four courses (at the master’s or doctoral level) in at least three functional areas. This cross-functional exposure is particularly useful for students engaging in cross-functional research, in positioning their research for wider appeal, and for effectively teaching business school students with diverse specializations.

The Management Science PhD core curriculum consists of a minimum of 9 courses.

Please visit the Management Science Degree Plan page for core and secondary core course requirements.

Nine hours in any approved field

Students are required to take a sequence of specific courses. Students should consult with faculty members in their respective areas to decide on the sequence of courses.

Twelve hours of special topics and seminars in the information systems area.

Students are required to write original research papers in both their first and second summers. The second year paper is presented in a seminar attended by faculty and other students, and must be judged to be passing by the faculty before the student can advance to candidacy.

PhD in Information Systems students take a written preliminary exam at the end of their first year in the program over a set of core methodology courses ( MECO 6315 Statistics, MECO 6345 Advanced Managerial Economics, MECO 6350 Game Theory, OPRE 7353 Optimization). At the end of their fifth semester in the program, students take a qualifying exam (consisting of two parts: a written exam that tests their knowledge of information systems theory and applications, and a completed research paper).

PhD students must successfully complete the preliminary and qualifying examinations, respectively, to enter PhD candidacy. The area faculty will determine whether a student has successfully completed the exam requirements based on the student’s performance. Criteria to evaluate students may include results from the in-class written portion of the exams, quality of research papers and/or presentations, performance in special courses (e.g. seminar courses), satisfactory GPA as determined by area faculty, and other forms of assessment as required by the student’s area. An unsatisfactory performance in any one criteria for either the preliminary examination or the qualifying examination may result in dismissal from the program.

Once the student has passed qualifying exam and paper requirements, work on the dissertation can commence. The dissertation is written under the direction of the dissertation committee. Twelve to 24 semester hours may be granted for the dissertation toward the minimum 75-hour requirement for the degree. At a time mutually agreeable to the candidate and the dissertation committee, the candidate must orally defend the dissertation to the committee.

The Dissertation Proposal must be successfully defended at least one semester prior to the term of graduation. The requirements for the proposal defense should be discussed with the dissertation committee prior to scheduling the defense. Dissertation Proposal Defenses will be open to all faculty and PhD students of the Jindal School of Management.

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PhD in Information Systems

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The Information Systems (IS) doctoral program is a research-based program where students work with world-renowned scholars to build skills that will prepare them for impactful careers as professors in information systems at business schools.

Overall, the doctoral program places a heavy emphasis on training students through active engagement in the research process. Students develop a strong foundation in research methods and statistics, while closely collaborating with multiple faculty members on research projects.

General details about the curriculum, requirements, and structure of the program can be found here . Please be aware this document is not an exhaustive list of the requirements for the program.

Program Faculty

Our renowned, award-winning IS faculty are published experts on topics like:

Artificial Intelligence and Deep Learning

Cybersecurity, Text Analytics and Face Recognition

Emerging Digital Technologies

Large Language Models (LLMs)

Machine Learning and Semantic/Lexical Analytics

Natural Language Processing

Tools and Methods for Making Sense of Large Data

David Dobolyi

Assistant Professor

Abram Handler

Associate Professor

Ramiro Montealegre

Assistant Professor • Information Analytics PhD Program Director

Program Graduates

The PhD program prepares students to be researchers and teachers at major universities. See where our graduates started their careers and published research.

Publications
Aakash Saxena PhD: 2020 Placement: Sykes Enterprises, Inc. Dissertation: A Method to Extract Context-Sensitive Semantics of a Concept Using Word-Embedding Space and Its Application
Jaebong Son PhD: 2017 Placement - California State University Dissertation: What Have We Missed When Examining Twitter as a Communication Medium during Disasters
Jeffrey Sweeney PhD: 2016 Placement: Erasmus University Dissertation: On Value Creation from Knowledge Management Systems
Jose Ramirez PhD: 2015 Placement: United States Military Academy at West Point Dissertation: Essays on Military and Civilian Manpower Planning
Mark Zais PhD: 2014 Placement: Office of the Secretary of Defense Dissertation: Simulation-Optimization, Markov Chain and Graph Coloring Approaches to Military Manpower Modeling and Deployment Sourcing
Subhamoy Ganguly PhD: 2013 Placement: Indian Institute of Management – Udaipur Dissertation: Essays in Scheduling: Applications in Health Care and Manufacturing
Jingjing Li PhD: 2013 Placement: University of Virginia Dissertation: Addressing Information Proliferation: Applications of Information Extraction and Text Mining
Michele Samorani PhD: 2012 Placement: University of Alberta, Canada Dissertation: Data Mining For Enhanced Operations Management Decision Making: Applications in Health Care
Tomasz Miaskiewicz PhD: 2010 Initial Placement: The New University of Lisbon Current Placement: NOVA School of Business and Economics Dissertation: Bridging the Gap Between Consumers and Designers: The Role of Accurate and Effective Personas
Harald Reinertsen PhD: 2010 Placement: Smith Stål Øst AS, Norway Dissertation: Optimization of the Industrial Cutting Stock Problems – Production Scheduling in a Dynamic Stochastic Environment
Zainab AlQenaei PhD: 2009 Placement: Kuwait University Dissertation: An Investigation of the Relationship Between Consumer Mental Health Recovery Measures and Clinicians’ Reports Using Multivariate Analysis of the Singular Value Decomposition of a Textual Corpus
Marco Better PhD: 2007 Placement: OptTek Systems, Inc. Dissertation: Data Mining Techniques for Prediction in Discrete Data Applications
Fang Liang PhD: 2007 Placement: PROS Pricing Solutions Dissertation: The Hyperplan-Based Classification Techniques
Dirk Hovorka PhD: 2006 Placement: Bond University, Australia Dissertation: Information Systems Foundations: Four Research Essays
Rahul Patil PhD: 2006 Placement: Indian Institute of Management Dissertation: Improved Techniques for Due Date Quotation in Realistic Production Environments
Emilio Collar PhD: 2005 Placement: Western Connecticut State University Dissertation: An Investigation of Programming Code Textbase Readability Based on a Cognitive Readability Model
Younghwa Lee PhD: 2005 Placement: University of Kansas Dissertation: Developing Theoretical Models of Website Usability
Mark W.S. Chun PhD: 2003 Placement: Pepperdine University Dissertation: Embedded Knowledge, Embedded Information Systems: A Resource-Based Perspective on the System Integration Process During a Corporate Merger

Management Information Systems Quarterly ( WITS 2016 Best Prototype Award ) Unlocking Knowledge Inheritance of Behavioral Research: A Design Framework and an Instantiation (Conditional acceptance) Jingjing Li—University of Virginia (PhD 2013) Kai Larsen –University of Colorado Boulder Ahmed Abbasi –University of Virginia

Information Systems Research Don’t Mention It? Analyzing User-generated Content Signals for Early Adverse Event Warnings (2019) Ahmed Abbasi –University of Virginia Jingjing Li—University of Virginia (PhD 2013) Donald Adjeroh –West Virginia University Marie Abate—West Virginia University Wanhong Zheng –West Virginia University

MIS Quarterly Information technology use as a learning mechanism: The impact of it use on knowledge transfer effectiveness, absorptive capacity, and franchisee performance (2015) Kishen Iyengar - University of Colorado at Boulder Jeffrey R Sweeney - Maastricht University (PhD 2016) Ramiro Montealegre - University of Colorado at Boulder

MIS Quarterly Can online wait be managed? The effect of filler interfaces and presentation modes on perceived waiting time online (2012) Younghwa Lee - University of Northern Iowa (PhD 2005) Andrew N.K. Chen - University of Kansas Virgina Ilie - California Luthern University

Learn more about

Research requirements

Teaching Requirements

Information Systems

This program consists of six three-hour major courses:

A fundamental research seminar (S600 IS Research Seminar)
Four topics-based seminars
One elective course

In addition to the major, information systems doctoral students are required to choose a minor field (normally 3 to 4 courses, or 9 to 12 credit hours). Most students in this area choose minors such as organizational behavior, cognitive psychology, social psychology, and management. Students without prior teaching experience also take one short course ( X630 ) on teaching, prior to teaching their first course, which may be before or after the comprehensive exam.

All information systems doctoral students are required to take S600 in the first semester of the program. S600 is a prerequisite for the topics-based courses and provides the fundamental background in information systems. The topics-based courses are organized around major research topic areas in information systems research. The elective course could be another information systems major course, an independent study course, an IS-related course in another discipline, or a research methods course.

Required Courses

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Additional resources

DiscoverDataScience.org

Ph.D. in Information Systems

with Kat Campise, Data Scientist, Ph.D.

Considering a PhD in Information Systems? At the intersection of computer science, business, and information technology lies a highly specialized field poised for immense growth over the next decade. The U.S. Bureau of Labor Statistics (BLS) estimates 16% job growth in the field by 2031, much faster than the average occupation.

This guide is designed for those interested in continuing their education following the completion of a Bachelor’s Degree in Information Systems or a Master’s Degree in Information Systems , highlighting the curriculum and time commitment required as well as a cost-benefit analysis to help determine if pursing a PhD in Information Systems is the right next step for your career.

Master’s vs. a Ph.D. in Information Systems

Within the U.S. academic system, a Master’s Degree in Information Systems will lead you down the research path, to a point. Culminating in a master’s thesis, a master’s degree program typically takes 2 years to complete and is considered a shorter and less in-depth application of your coursework than a PhD. In contrast, a PhD in Information Systems program is focused on completing a lengthy dissertation and a set of rigorous exams (this last requirement differs depending on the program and university). A PhD, ultimately, is a research degree that advances a brand-new idea or innovation within the discipline. You could say that a master’s thesis is an exploratory analysis that supports a given hypothesis while PhD research is more extensive and results in a book-length and detailed exegesis of your approved topic.

Career Outlook

According to Kat Campise, Data Scientist, PhD, most PhD trajectories head straight for a career in academics where “publish or perish” is the ongoing mantra. There are exceptions as graduates of PhD programs launch or continue careers in government, finance, technology and business; advancing to positions including, but not limited to, senior information manager, chief information offer, chief technology officer, director of systems development, or director of information technology operations.

It is worth noting that a gap exists between business expectations and academic perceptions of value. The world of business is focused on the “bottom line.” Due to the widespread adoption of data science, businesses are more amenable to an academic research approach, but with the caveat that the value constraints, such as key performance indicators, risk measures, etc. continue to drive the determination as to whether a job function is providing an increase in their financial inflows while keeping costs to a minimum. Also, while a bachelor’s degree is sufficient for many entry-level positions, a master’s degree is often required to advance across most industries. Meanwhile, academia’s valuation is in how (and if) you’re pushing the research in your field of expertise forward. In academia, post-doctoral job expectations include teaching, writing, attaining grant funding, attending and presenting at conferences, and conducting research. The focus here is solely on intellectual capital rather than filling the corporate coffers.

Earning Potential

As of their May 2021 employment survey, the BLS lists the median annual salary for information systems managers as $159,010 . Entry-level information systems (IS) professionals may expect salaries closer to $95,220. However, the top 10% of IS managers often earn more than $208,000 per BLS data. Compensation depended on several factors including education, certifications, specific skill set, and years of experience.

According to Campise, whether you’ll hit the top of the pay scale after you complete an Information Systems PhD depends on where you intend on applying those learnings (i.e., industry and specialization) and how you market yourself. While those who’ve completed a doctorate tend to have higher median earnings than their master’s degree level cohorts, it is not a guarantee.

Guide to Choosing a PhD Program in Information Systems

If after reading the above you’ve decided that you’re ready to embark on the PhD in Information Systems path, then the steps below will take you through the next phase: applying to a PhD program.

Step 1: Assess your location and time commitment constraints

PhD level degrees aren’t for the faint of heart. You’ll be committing a substantial amount of mental and financial energy toward completing all coursework, attempting to publish your research, attending conferences, and following the requirements for your dissertation. Depending on the school, program, and whether you’re a full or part-time student, a typical PhD program takes an average of six years to complete.

Online vs. On Campus

An important factor to consider is whether you wish to complete your PhD through a traditional on campus program or online. While on-campus programs remain popular, numerous respected, accredited schools now offer the flexibility of online PhD programs. Online programs are ideal for working adults who require asynchronous scheduling with the option of evening or weekend classes and meetings. Many online PhD programs are hybrids that require an on-campus presence at certain points throughout the program.

When determining whether an online or in-person program is right for you, consider answering the following questions. Is there a local university that offers a PhD in Information Systems or, alternatively, a PhD in Computer Information Systems? Are you willing and/or have the financial ability to relocate for such a program? Do you have the time to travel to and from campus along with completing the research and writing? What other commitments do you have that limit the time and energy needed to complete a PhD?

Your answers should help you choose between an on campus and online program as well as jump-start your initial list of university options, which should be narrowed down before you reach the final step: applying to one or more universities.

Step 2: Review the curriculum

The PhD emphasis in most disciplines is a theoretical approach. Your academic goal as a PhD in Information Systems student is to learn and test established theories that will lead you to derive a theory of your own. As you peruse the course requirements for each potential university, you may notice the use of the term seminars . Seminars are discussion-based as opposed to traditional lectures where the professors speak at the students. It’s likely that you’ll be assigned published research papers to read, analyze, and discuss with your professor and fellow students during the class. Some PhD programs combine seminars with lectures in terms of the type of courses offered. Others may only incorporate the lecture environment. Consider your learning style while you’re reviewing the curriculum.

The course topics for a PhD in Information Systems usually include theories in information systems, qualitative and quantitative research in information systems along with technical applications via statistics, analytics, and machine learning. You’ll spend a great deal of time thoroughly learning how to conduct research in the field. Many programs offer a concentration option such as healthcare, cybersecurity or analytics.

Since a PhD course of study will consume a huge chunk of time and effort, it’s important to self-assess your level of interest. It’s extremely likely that you’ll have moments of doubt and lack of motivation at some point during the degree, says Campise, but an intense interest in a certain concentration can help carry you through the trials and tribulations.

Step 3: Perform a cost-benefit analysis

Completing a PhD comes with financial and opportunity costs. If there are ample grants or fellowships available for research, then you may be able to earn some money or reduce tuition costs while you’re completing the degree. This is not guaranteed. Working full time during a PhD might be marginally feasible. Tuition costs vary between $7,000 and more than $30,000 per year. That’s only the tuition and doesn’t include your living and travel expenses (for conferences). Attaining a graduate assistantship and/or teaching lower-level university courses can help offset the financial outflow. On the other hand, you may lose some work experience (in the business world) or need to put your job search on hold while you complete the PhD requirements. That said, it’s important to carefully weigh the sacrifices you’ll be making in the short term with the potential benefits that can occur in the long run. If you’re planning on entering or returning to the realm of private business, practice your research skills and run a search on various job sites. Review information systems jobs, their salary, and compare that to the education requirements. Can you earn significantly more with a PhD in Information Systems or by attaining a PhD in Computer Information Systems? Also, what are the factors motivating you to complete this advanced research degree?

Step 4: Analyze the admission requirements

Minimum scores on the GRE or GMAT are required for entrance to most PhD programs. International students are generally required to take either the TOEFL or the IELTS; the TOEFL tends to be the favored test for English proficiency. Each school will have their own cutoff range which is usually listed on the department’s website (wherever the PhD in Information Systems is housed). As always, official transcripts will be required, and many set a Master’s Degree in Information Systems as the minimum level of education considered as viable for program entry. This, however, is not 100% consistent. Other majors may be admissible, and in some cases a bachelor’s degree might be acceptable in lieu of a master’s degree.

Expect to spend additional money on application fees (approximately $60+). You’ll find that most applications must include a Statement of Purpose (SOP), and likely another writing sample. Some PhD applications also require the addition of a research paper that you’ve written in a prior class or have published (in a journal or a conference paper). The SOP for a PhD application should address how your research interests align with either the department or specific faculty members. You’ll likely be choosing your dissertation committee members from within the departmental faculty, so matching their research focus is particularly important. Research interests evolve throughout the degree, but it’s ok to focus on a specific area when applying.

On Campus Listings

Arizona State University – Tempe, Arizona PhD in Business Administration with a concentration in Information Systems Program Length: 84 Semester hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $11,864 (Resident), $23,372 (Non-resident) Course Offerings

Auburn University – Auburn, Alabama Ph.D. in Business-Information Systems Program Length: 28 Credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $1361 per hour credit (Resident) $2,431 per hour credit (Non-resident) Course Offerings

Baylor University – Waco, Texas PhD in Information Systems Program Program Length: 54 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $22,400.2 estimate tuition and required fees per semester Course Offerings

Carnegie Mellon University – Pittsburgh, Pennsylvania Ph.D. Studies in Information Systems & Management Program Length: 54 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $27,396 Course Offerings

Colorado Technical University – Manitou Springs, Colorado Ph.D. Studies in Information Systems & Management Program Length: 100 credit hours Delivery Method: Campus GRE Required: Not required 2020-2021 Tuition: $598 per credit hour Course Offerings

Drexel University – Philadelphia, Pennsylvania PhD in Information Science Program Length: 24 post-master’s course credits Delivery Method: Campus GRE Required: Not Required 2020-2021 Tuition: $1,265 per credit hour Course Offerings

Emory University – Atlanta, Georgia PhD Information Systems and Operations Management (ISOM) Program Length: 4 years Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $20,900 per semester Course Offerings

Florida State University – Tallahassee, Florida Management Information Systems Program Length: 27-33 credit hours yearly Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $479.32 per credit hour (resident) $1,110.72 per credit hour (non-resident) Course Offerings

Georgia State University – Atlanta, Georgia Information Systems Program Length: 66 credits Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: Tuition will be completely covered if you are accepted into this program. For out-of-state graduate students, this represents a benefit of approximately $49,000 per year if you register for fall, spring and summer. Course Offerings

Harrisburg University – Harrisburg, Pennsylvania Doctor of Philosophy in Information Systems Engineering & Management Program Length: 30 credit hours per semester Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $800 per semester hour Course Offerings

Indiana University – Bloomington, Indiana PhD in Information Systems Program Length: 40.5 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $1,330 per credit hour Course Offerings

Iowa State University – Ames, Iowa PhD in Information Systems Program Length: 74 credits Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $10,504 (Resident), $23,790 (Non-resident) Course Offerings

Michigan State University – East Lansing, Michigan PhD in Business Information Systems Program Length: 30 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $769.50 per credit (Resident), $1,498.50 (Non-resident) Course Offerings

Mississippi State University – Mississippi State, Mississippi PhD in Business Information Systems Program Length: 71-74 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $4,325 per term Course Offerings

New Jersey Institute of Technology – Newark, New Jersey Ph.D. in Information Systems Program Length: 33-48 credits Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $31,074 (resident) $40,802 (non-resident) Course Offerings

New York University – New York, New York Doctoral Program in Information Systems Program Length: 5 years Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $111,616 (based on nine month academic year) Course Offerings

Nova Southeastern University – Fort Lauderdale, Florida PhD in Information Systems Program Length: 64 Credit hours Delivery Method: Campus or Hybrid GRE Required: Not Required 2020-2021 Tuition: $12,075 per term Course Offerings

Purdue University – West Lafayette, Indiania PhD Management Information Systems Program Length: 4 Years Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: Tuition-waiver and other funding opportunities are provided for the entire four-year duration Course Offerings

Rutgers University – Newark, New Jersey Ph.D. in Accounting Information Systems Program Length: 72 credits Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $8,616.00 term (Resident) $14,652.00 term (Non-resident) Course Offerings

Temple University – Philadelphia, Pennsylvania PhD Management Information Systems Program Length: 4 Years Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: All admitted students receive full financial support including tuition and stipend Course Offerings

Texas Tech University – Lubbock, Texas Ph.D. in Business Administration, Concentration in Management Information Systems Program Length: 60 Semester credits Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $326 per credit (resident) $741 per credit (non-resident) Course Offerings

University of Arizona – Tucson, Arizona Management Information Systems Program Length: 42 units Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $837 per unit (resident), $1,781 per unit (non-resident) Course Offerings

University of Arkansas – Fayetteville, Arkansas Information Systems PhD Program Length: 72 graduate semester credit hours beyond the bachelor’s degree and 42 graduate-only semester hours beyond the master’s degree Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $23,548 per academic year (resident), $40,766 per academic year (non-resident) Course Offerings

University of Colorado Denver – Denver, Colorado PhD. Computer Science and Information Systems Program Length: 60 course hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $10,760 per year (Resident) $31,640 per year (Non-resident) Course Offerings

University of Georgia – Athens, Georgia PhD in Business Administration (Management Information Systems) Program Length: 5 years Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $363 Credit hour (Resident), $1,029 Credit hour (Non-resident) Course Offerings

University of Houston – Houston, Texas Ph.D. in Management Information Systems (MIS) Program Length: 51 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: Students receive a tuition waiver for four years (less student-paid fees). It is recommended to have a “fund” of $5,000 designated for paying the tuition every semester which will be reimbursed. Course Offerings

University of Illinois at Chicago – Chicago, Illinois PhD in Management Information Systems Program Length: 60 Semester Hours Delivery Method: Campus or Online GRE Required: Required 2020-2021 Tuition: $10,716 (in-state), $12,853 (out of state) per semester Course Offerings

University of Iowa – Iowa City, Iowa PhD in Management Sciences Program Length: 72 Semester Hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: 100% covered tuition cost and fees Course Offerings =

University of Maryland – College Park, Maryland Information Systems PhD Program Length: 42 Credits Minimum Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $717.00 per credit (resident), $1,548.00 per credit (non-resident) Course Offerings

University of Maryland Baltimore County – Baltimore, Maryland Doctor of Philosophy in Information Systems Program Length: 5 area courses Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $640.00 per credit (Maryland resident), $1,099.00 per credit (non-resident) Course Offerings

University of Massachusetts-Amherst – Amherst, Massachusetts PhD Program in Information Systems Program Length: 45 credits Delivery Method: Campus GRE Required: Not Required 2020-2021 Tuition: $8,262.00 Total Tuition & fees for 12+ credits (resident), $16,812.50 Total Tuition & fees for 12+ credits (non-resident) Course Offerings

University of Memphis – Memphis, Tennessee Ph.D. in Management Information Systems Program Length: 60 hours (minimum) Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $609.00 per credit (TN Resident), $801.00 per credit (Non-TN Resident) Course Offerings

University of Michigan-Dearborn – Dearborn, Michigan Ph.D. in Information Systems Engineering Program Length: 50 hours Delivery Method: Campus GRE Required: Not Required 2020-2021 Tuition: $406 per credit hour (Resident), $778 per credit hour (non-resident) Course Offerings

University of North Carolina Charlotte – Charlotte, North Carolina Ph.D. in Computing and Information Systems Program Length: 72 post baccalaureate credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $2,168.50 for 9+ Credit Hour (NC resident), $8,885.50 for 9+ Credit Hour (NC resident) Course Offerings

University of North Carolina Greensboro – Greensboro, North Carolina Ph.D. in Information Systems Program Length: 71-84 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $3,700 per semester (in-state), $10,600 per semester (out-of-state) Course Offerings

University of North Texas – Denton, Texas Information Systems Ph.D. Program Program Length: Minimum of 69 hours of graduate credit beyond the Master’s degree or 99 hours of graduate credit beyond the Bachelor’s degree. Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $21,646 annual cost (resident), $29,332 annual cost (non-resident) Course Offerings

University of Pennsylvania – Philadelphia, Pennsylvania Ph.D information systems (IS) Program Length: 16 course credits are required for graduation Delivery Method: Campus GRE Required: Not Required 2020-2021 Tuition: $39,470 plus the general fees and health insurance per academic year Course Offerings

University of Pittsburgh – Pittsburgh, Pennsylvania PhD in Information Systems and Technology Management Program Length: 12 Courses Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $1,308 per credit Course Offerings

University of Rochester – Rochester, New York PhD in Business Administration major in Computers and Information Systems Program Length: 90 credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $1,925 per credit Course Offerings

University of South Florida – Tampa, Florida PhD in Business Administration Information Systems Concentration Program Length: Minimum of 90 Credit Hours beyond the Bachelor’s Degree Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $431.43 per credit (resident), $863.64 per credit (non-resident) Course Offerings

University of Texas at Austin – Austin, Texas Information Systems Doctoral Program Program Length: 4 to 5 years Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $5,530 per semester (resident), $19,365 per semester (non-resident) Course Offerings

University of Texas at San Antonio – San Antonio, Texas Ph.D. in Information Technology Program Length: 84 semester credit hours Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $705.45 per semester credit hour (resident), $1,640.58 per semester credit hour (non-resident) Course Offerings

University of Texas Dallas – Dallas, Texas PhD in Management Science, Information Systems Concentration Program Length: 4 to 5 years Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $29,286 – $29,740 Total (resident), $53,128 – $54,364 Total (non-resident) Course Offerings

University of Utah – Salt Lake City, Utah Ph.D. in Business Administration with a major field in Information Systems Program Length: 55 degree hours minimum Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $264.06 per credit hour (resident), $929.38 per credit hour (non-resident) Course Offerings

University of Washington – Seattle, Washington Information Systems PhD Specialization Program Length: 30 Credits Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $16,590 annual tuition (resident), $20,881 annual tuition (non-resident) Course Offerings

Washington State University – Pullman, Washington PhD in Management Information Systems Concentration Program Length: 37 Credits Delivery Method: Campus GRE Required: Required 2020-2021 Tuition: $23,485 per academic year (resident), $37,721 per academic year (non-resident) Course Offerings

Walton College – Fayetteville, Aarkansas PhD in Management Information Systems Concentration Program Length: 72 Credits Delivery Method: Campus GRE Required: Required Tuition : $23,548 per academic year (resident), $40,766 per academic year (non-resident) Course Offerings

Online Listings

University of Bridgeport – Bridgeport, Connecticut PhD Technology Management Delivery Method: Online GRE Required: minimum score of 155 in both Verbal and Quantitative Tuition : $31,305 per year Course Offerings

Capella University PhD in Information Technology Delivery Method : Online with in-person research seminars GRE Required : No Tuition : $965 per credit, $2,895 Comprehensive exam, Dissertation $2,895 per quarter Course Offerings

Capitol Technology University PhD in Technology Delivery Method: Online GRE Required : No Tuition: $933 per credit Course Offerings

University of the Cumberlands – Williamsburg, Kentucky PhD Information Systems Delivery Method: Online GRE Required: Tuition : $500/credit hour + $50 technology fee per Bi-term Course Offerings

Dakota State University – Madison, South Dakota PhD Information Systems Delivery Method: Online GRE Required : Yes, taken within the last 5 years. Exceptions granted for those who meet specific prerequisites. Tuition : $34,500 Course Offerings

Northcentral University PhD Information Systems Delivery Method : Online GRE Required : No Tuition : $68,365 Course Offerings

Syracuse University Doctor of Professional Studies in Information Management Delivery Method : Online GRE Required : No Tuition : Scholarships, grants and fellowships available Course Offerings

Walden University PhD in Management Information Systems Management specialization Delivery Method : Hybrid GRE Required : No Tuition : $68,360 – $144,220 Course Offerings

2021 US Bureau of Labor Statistics salary and employment figures for computer and information systems managers reflect national data, not school-specific information. Conditions in your area may vary. Data accessed January 2023.

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Berkeley Berkeley Academic Guide: Academic Guide 2023-24

Information science: phd.

About the Program

The doctoral program.

The doctoral program in Information Management and Systems is a research-oriented program in which the student chooses specific fields of specialization, prepares sufficiently in the literature and the research of those fields to pass a qualifying examination, and completes original research culminating in the written dissertation. The degree of Doctor of Philosophy is conferred in recognition of a candidate's grasp of a broad field of learning and distinguished accomplishment in that field through the contribution of an original piece of research revealing high critical ability and powers of imagination and synthesis.

The I School also offers a master's in Information Management and Systems (MIMS), a master's in Information and Data Science (MIDS), and a master's in Information and Cybersecurity (MICS).

Visit School Website

Admission to the PhD Program

We welcome students from a diverse set of backgrounds; some will be technically educated, some educated in the humanities and social sciences.

The I School typically accepts 3-7 PhD students each year from more than 100 applications. Applications are reviewed by a committee of faculty.

Applicants are evaluated holistically on a number of factors. A strong academic record is important, but not sufficient. A critical factor is the ability to demonstrate a research record and agenda that fit well with specific I School faculty. In a small, interdisciplinary program, it is important that applicants clearly indicate in their Statement of Purpose which faculty member(s) they are interested in researching with, and why.

To be eligible to apply to the PhD in Information Management and Systems program, applicants must meet the following requirements:

A bachelor's degree or its recognized equivalent from an accredited institution.

Superior scholastic record, normally well above a 3.0 GPA.

Indication of appropriate research goals, described in the Statement of Purpose.

For applicants whose academic work has been in a language other than English, the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS).

Not required: GRE/GMAT. Starting Fall 2021, we no longer require the GRE or GMAT. We recommend you put your time and effort towards the required application materials.

Further information about I School Ph.D. Admissions can be found on the I School website.

Applying for Graduate Admission

Thank you for considering UC Berkeley for graduate study! UC Berkeley offers more than 120 graduate programs representing the breadth and depth of interdisciplinary scholarship. A complete list of graduate academic departments, degrees offered, and application deadlines can be found on the Graduate Division website .

Prospective students must submit an online application to be considered for admission, in addition to any supplemental materials specific to the program for which they are applying. The online application can be found on the Graduate Division website .

Admission Requirements

The minimum graduate admission requirements are:

A bachelor’s degree or recognized equivalent from an accredited institution;

A satisfactory scholastic average, usually a minimum grade-point average (GPA) of 3.0 (B) on a 4.0 scale; and

Enough undergraduate training to do graduate work in your chosen field.

For a list of requirements to complete your graduate application, please see the Graduate Division’s Admissions Requirements page . It is also important to check with the program or department of interest, as they may have additional requirements specific to their program of study and degree. Department contact information can be found here .

Where to apply?

Visit the Berkeley Graduate Division application page .

Doctoral Degree Requirements

Program design.

The School of Information is an interdisciplinary school examining the design, organization, and management of information and information systems. The School of Information draws on the expertise not only of its own faculty but of the full Berkeley campus. We encourage students to take full advantage of being at this world-class University and not feel bound by disciplinary boundaries.

The PhD degree program at the School of Information is a research program. Each student is expected to work with his or her adviser to ensure that the program of study includes:

A thorough understanding of research methods and research design.
The ability to review current research critically.
The ability to understand emerging trends from an interdisciplinary perspective.

Expected PhD Timeline:

Semester 1: Identify a faculty adviser
Semesters 1–4: Complete breadth courses; complete major and minor requirements
Semester 4: Complete the preliminary research paper
Semester 5: Complete preliminary exam
Semester 6–8: Complete qualifying exam; advance to candidacy
Four semesters after qualifying exam: Complete dissertation and give presentation

Please refer to the School of Information website for more information.

Breadth Courses

Major/Minor Areas

Related Courses

Info 201 research design and applications for data and analysis 3 units.

Terms offered: Spring 2024, Fall 2023, Spring 2023 Introduces the data sciences landscape, with a particular focus on learning data science techniques to uncover and answer the questions students will encounter in industry. Lectures, readings, discussions, and assignments will teach how to apply disciplined, creative methods to ask better questions, gather data, interpret results, and convey findings to various audiences. The emphasis throughout is on making practical contributions to real decisions that organizations will and should make. Course must be taken for a letter grade to fulfill degree requirements. Research Design and Applications for Data and Analysis: Read More [+]

Hours & Format

Fall and/or spring: 15 weeks - 1.5 hours of lecture per week

Additional Format: One and one-half hours of lecture per week.

Additional Details

Subject/Course Level: Information/Graduate

Grading: Letter grade.

Research Design and Applications for Data and Analysis: Read Less [-]

INFO 202 Information Organization and Retrieval 3 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022 This course introduces the intellectual foundations of information organization and retrieval: conceptual modeling, semantic representation, vocabulary and metadata design, classification, and standardization, as well as information retrieval practices, technology, and applications, including computational processes for analyzing information in both textual and non-textual formats. Information Organization and Retrieval: Read More [+]

Rules & Requirements

Prerequisites: Students should have a working knowledge of the Python programming language

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Format: Three hours of lecture per week.

Information Organization and Retrieval: Read Less [-]

INFO 203 Social Issues of Information 3 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 This course is designed to be an introduction to the topics and issues associated with information and information technology and its role in society. Throughout the semester we will consider both the consequence and impact of technologies on social groups and on social interaction and how society defines and shapes the technologies that are produced. Students will be exposed to a broad range of applied and practical problems, theoretical issues, as well as methods used in social scientific analysis. The four sections of the course are: 1) theories of technology in society, 2) information technology in workplaces 3) automation vs. humans, and 4) networked sociability. Social Issues of Information: Read More [+]

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INFO 205 Information Law and Policy 3 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 This course uses examples from various commercial domains—retail, health, credit, entertainment, social media, and biosensing/quantified self—to explore legal and ethical issues including freedom of expression, privacy, research ethics, consumer protection, information and cybersecurity, and copyright. The class emphasizes how existing legal and policy frameworks constrain, inform, and enable the architecture, interfaces, data practices, and consumer facing policies and documentation of such offerings; and, fosters reflection on the ethical impact of information and communication technologies and the role of information professionals in legal and ethical work. Information Law and Policy: Read More [+]

Prerequisites: Consent of instructor required for nonmajors

Instructor: Mulligan

Information Law and Policy: Read Less [-]

INFO 206A Introduction to Programming and Computation 2 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022 This course introduces the basics of computer programming that are essential for those interested in computer science, data science, and information management. Students will write their own interactive programs (in Python) to analyze data, process text, draw graphics, manipulate images, and simulate physical systems. Problem decomposition, program efficiency, and good programming style are emphasized throughout the course. Introduction to Programming and Computation: Read More [+]

Fall and/or spring: 7.5 weeks - 4 hours of lecture per week

Additional Format: Four hours of lecture per week for seven and one-half weeks.

Instructor: Farid

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INFO 206B Introduction to Data Structures and Analytics 2 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022 The ability to represent, manipulate, and analyze structured data sets is foundational to the modern practice of data science. This course introduces students to the fundamentals of data structures and data analysis (in Python). Best practices for writing code are emphasized throughout the course. This course forms the second half of a sequence that begins with INFO 106. It may also be taken as a stand-alone course by any student that has sufficient Python experience. Introduction to Data Structures and Analytics: Read More [+]

Prerequisites: INFO 206A or equivalent, or permission of instructor

Credit Restrictions: Course must be completed for a letter grade to fulfill degree requirements.

Formerly known as: Information 206

Introduction to Data Structures and Analytics: Read Less [-]

INFO 213 Introduction to User Experience Design 4 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022 This course will provide an introduction to the field of Human-Computer Interaction (HCI). Students will learn to apply design thinking to User Experience (UX) design, prototyping, & evaluation. The course will also cover special topic areas within HCI. Introduction to User Experience Design: Read More [+]

Introduction to User Experience Design: Read Less [-]

INFO 214 User Experience Research 3 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 This course addresses concepts and methods of user experience research, from understanding and identifying needs, to evaluating concepts and designs, to assessing the usability of products and solutions. We emphasize methods of collecting and interpreting qualitative data about user activities, working both individually and in teams, and translating them into design decisions. Students gain hands-on practice with observation, interview, survey , focus groups, and expert review. Team activities and group work are required during class and for most assignments. Additional topics include research in enterprise, consulting, and startup organizations, lean/agile techniques, mobile research approaches, and strategies for communicating findings. User Experience Research: Read More [+]

Additional Format: Three hours of Lecture per week for 15 weeks.

User Experience Research: Read Less [-]

INFO 215 Product Design Studio 3 Units

Terms offered: Fall 2024, Fall 2023 This course will give participants hands-on digital product design experience oriented around current industry practice. The course will be project-based with an emphasis on iteration, practice, and critique. During the course, participants will work on a series of design projects through a full design process, including developing appropriate design deliverables, gathering feedback, and iterating on designs. Product Design Studio: Read More [+]

Objectives & Outcomes

Course Objectives: The course objective is to provide students interested in web and mobile Product Design with skills, practice, and experience that will prepare them for careers in product design and design-related roles.

Prerequisites: DES INV 15 or COMPSCI 160 or INFO 213 AND INFO 214; or permission of the instructor. Students can take INFO 214 and INFO 215 concurrently, but students may not drop INFO 214 and remain in INFO 215

Formerly known as: Information Systems and Management 215

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INFO 217A Human-Computer Interaction (HCI) Research 3 Units

Terms offered: Spring 2024, Fall 2021, Fall 2020 This course is a graduate-level introduction to HCI research. Students will learn to conduct original HCI research by reading and discussing research papers while collaborating on a semester-long research project. Each week the class will focus on a theme of HCI research and review foundational and cutting-edge research relevant to that theme. The class will focus on the following areas of HCI research: ubiquitous computing , social computing, critical theory, and human-AI interaction. In addition to these research topics the class will introduce common qualitative and quantitative methodologies in HCI research. Human-Computer Interaction (HCI) Research: Read More [+]

Instructor: Salehi

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INFO 218 Concepts of Information 3 Units

Terms offered: Spring 2024, Spring 2022, Spring 2020 As it's generally used, "information" is a collection of notions, rather than a single coherent concept. In this course, we'll examine conceptions of information based in information theory, philosophy, social science, economics, and history. Issues include: How compatible are these conceptions; can we talk about "information" in the abstract? What work do these various notions play in discussions of literacy, intellectual property, advertising, and the political process? And where does this leave "information studies" and "the information society"? Concepts of Information: Read More [+]

Prerequisites: Graduate standing

Instructors: Duguid, Nunberg

Concepts of Information: Read Less [-]

INFO 225 Leadership and Management 3 Units

Terms offered: Fall 2024, Fall 2023, Fall 2021 This course focuses on the practice of leadership, collaboration, and people management in contemporary, distributed, information and technology-rich organizations. Not just for potential people managers, this course is derived from the premise that a foundation in leadership, management, and collaboration is essential for individuals in all roles, at any stage of their career. To build this foundation we will take a hybrid approach, engaging literature from disciplines such as social psychology, management, and organizational behavior, as well as leveraging case studies and practical exercises. The course will place a special emphasis on understanding and reacting to social dynamics in workplace hierarchies and teams. Leadership and Management: Read More [+]

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INFO 233 Social Psychology and Information Technology 3 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 Discusses application of social psychological theory and research to information technologies and systems; we focus on sociological social psychology, which largely focuses on group processes, networks, and interpersonal relationships. Information technologies considered include software systems used on the internet such as social networks, email, and social games, as well as specific hardware technologies such as mobile devices, computers , wearables, and virtual/augmented reality devices. We examine human communication practices, through the lens of different social psychology theories, including: symbolic interaction, identity theories, social exchange theory, status construction theory, and social networks and social structure theory. Social Psychology and Information Technology: Read More [+]

Instructor: Cheshire

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INFO 234 Information Technology Economics, Strategy, and Policy 3 Units

Terms offered: Spring 2024, Spring 2022, Spring 2021 This course applies economic tools and principles, including game theory, industrial organization, information economics, and behavioral economics, to analyze business strategies and public policy issues surrounding information technologies and IT industries. Topics include: economics of information goods, services, and platforms; economics of information and asymmetric information; economics of artificial intelligence, cybersecurity, data privacy, and peer production; strategic pricing; strategic complements and substitutes; competition and antitrust; Internet industry structure and regulation; network cascades, network formation, and network structure. Information Technology Economics, Strategy, and Policy: Read More [+]

Course Objectives: INFO234 is a graduate level course in the school's topical area of Information Economics and Policy, and can be taken by the masters and doctoral students to satisfy their respective degree requirements.

Student Learning Outcomes: Students will learn to identify, describe, and analyze business strategies and public policy issues of particular relevance to the information industry. Students will learn and apply economic tools and principles to analyze phenomena such as platform competition, social epidemics, and peer production, and current policy issues such as network neutrality and information privacy. Through integrated assignments and project work, the students will apply the theoretical concepts and analytic tools learned in lectures and readings to develop and evaluate a business model, product, or service of their choosing, e.g., a start-up idea they are pursuing.

Instructor: Chuang

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INFO 239 Technology and Delegation 3 Units

Terms offered: Fall 2021, Fall 2019, Fall 2018 The introduction of technology increasingly delegates responsibility to technical actors, often reducing traditional forms of transparency and challenging traditional methods for accountability. This course explores the interaction between technical design and values including: privacy, accessibility, fairness, and freedom of expression. We will draw on literature from design, science and technology studies, computer science, law, and ethics, as well as primary sources in policy, standards and source code. We will investigate approaches to identifying the value implications of technical designs and use methods and tools for intentionally building in values at the outset. Technology and Delegation: Read More [+]

Technology and Delegation: Read Less [-]

INFO 241 Experiments and Causal Inference 3 Units

Terms offered: Fall 2024, Spring 2024, Fall 2022 This course introduces students to experimentation in data science. Particular attention is paid to the formation of causal questions, and the design and analysis of experiments to provide answers to these questions. This topic has increased considerably in importance since 1995, as researchers have learned to think creatively about how to generate data in more scientific ways, and developments in information technology has facilitated the development of better data gathering. Experiments and Causal Inference: Read More [+]

Experiments and Causal Inference: Read Less [-]

INFO 247 Information Visualization and Presentation 4 Units

Terms offered: Spring 2023, Spring 2022, Spring 2021 The design and presentation of digital information. Use of graphics, animation, sound, visualization software, and hypermedia in presenting information to the user. Methods of presenting complex information to enhance comprehension and analysis. Incorporation of visualization techniques into human-computer interfaces. Course must be completed for a letter grade to fulfill degree requirements. Information Visualization and Presentation: Read More [+]

Prerequisites: INFO 206B or knowledge of programming and data structures with consent of instructor

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of laboratory per week

Additional Format: Three hours of lecture and one hour of laboratory per week.

Instructor: Hearst

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INFO 251 Applied Machine Learning 4 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 Provides a theoretical and practical introduction to modern techniques in applied machine learning. Covers key concepts in supervised and unsupervised machine learning, including the design of machine learning experiments, algorithms for prediction and inference, optimization, and evaluation. Students will learn functional, procedural, and statistical programming techniques for working with real-world data. Applied Machine Learning: Read More [+]

Student Learning Outcomes: • Effectively design, execute, and critique experimental and non-experimental methods from statistics, machine learning, and econometrics. • Implement basic algorithms on structured and unstructured data, and evaluate the performance of these algorithms on a variety of real-world datasets. • Understand the difference between causal and non-causal relationships, and which situations and methods are appropriate for both forms of analysis. • Understand the principles, advantages, and disadvantages of different algorithms for supervised and unsupervised machine learning.

Prerequisites: INFO 206B , or equivalent course in Python programming; INFO 271B , or equivalent graduate-level course in statistics or econometrics; or permission of instructor

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Format: Three hours of lecture and one hour of discussion per week.

Instructor: Blumenstock

Applied Machine Learning: Read Less [-]

INFO 253A Front-End Web Architecture 3 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022 This course is a survey of technologies that power the user interfaces of web applications on a variety of devices today, including desktop, mobile, and tablet devices. This course will delve into some of the core Front-End languages and frameworks (HTML/CSS/JS/React/Redux), as well as the underlying technologies enable web applications (HTTP, URI, JSON). The goal of this course is to provide an overview of the technical issues surrounding user interfaces powered by the web today, and to provide a solid and comprehensive perspective of the Web's constantly evolving landscape. Front-End Web Architecture: Read More [+]

Prerequisites: Introductory programming

Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of laboratory per week

Additional Format: Two hours of lecture and one hour of laboratory per week.

Formerly known as: Information 253

Front-End Web Architecture: Read Less [-]

INFO 253B Back-End Web Architecture 3 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 This course is a survey of web technologies that are used to build back-end systems that enable rich web applications. Utilizing technologies such as Python, Flask, Docker, RDBMS/NoSQL databases, and Spark, this class aims to cover the foundational concepts that drive the web today. This class focuses on building APIs using micro-services that power everything from content management systems to data engineering pipelines that provide insights by processing large amounts of data. The goal of this course is to provide an overview of the technical issues surrounding back-end systems today, and to provide a solid and comprehensive perspective of the web's constantly evolving landscape. Back-End Web Architecture: Read More [+]

Back-End Web Architecture: Read Less [-]

INFO 255 Privacy Engineering 3 Units

Terms offered: Spring 2024, Spring 2023 The course overviews a broad number of paradigms of privacy from a technical point of view. The course is designed to assist system engineers and information systems professionals in getting familiar with the subject of privacy engineering and train them in implementing those mechanisms. In addition, the course is designed to coach those professionals to critically think about the strengths and weaknesses of the different privacy paradigms. These skills are important for cybersecurity professionals and enable them to effectively incorporate privacy-awareness in the design phase of their products. Privacy Engineering: Read More [+]

Course Objectives: Critique the strengths and weaknesses of the different privacy paradigms Describe the different technical paradigms of privacy that are applicable for systems engineering Implement such privacy paradigms, and embed them in information systems during the design process and the implementation phase Stay updated about the state of the art in the field of privacy engineering

Credit Restrictions: Students will receive no credit for INFO 255 after completing INFO 255 . A deficient grade in INFO 255 may be removed by taking INFO 255 .

Privacy Engineering: Read Less [-]

INFO 256 Applied Natural Language Processing 3 Units

Terms offered: Fall 2024, Fall 2023, Fall 2021 This course examines the use of natural language processing as a set of methods for exploring and reasoning about text as data, focusing especially on the applied side of NLP — using existing NLP methods and libraries in Python in new and creative ways. Topics include part-of-speech tagging, shallow parsing, text classification, information extraction, incorporation of lexicons and ontologies into text analysis, and question answering. Students will apply and extend existing software tools to text-processing problems. Applied Natural Language Processing: Read More [+]

Prerequisites: INFO 206A and INFO 206B or proficient programming in Python (programs of at least 200 lines of code). Proficient with basic statistics and probabilities

Instructor: Bamman

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INFO 258 Data Engineering 4 Units

Terms offered: Spring 2024, Fall 2022 This course will cover the principles and practices of managing data at scale, with a focus on use cases in data analysis and machine learning. We will cover the entire life cycle of data management and science, ranging from data preparation to exploration, visualization and analysis, to machine learning and collaboration, with a focus on ensuring reliable, scalable operationalization. ensuring reliable, scalable operationalization. Data Engineering: Read More [+]

Prerequisites: INFO 206B or equivalent college-level course in computer science in Python with a C- or better AND COMPSCI C100/ DATA C100 / STAT C100 or COMPSCI 189 or INFO 251 or DATA 144 or equivalent college-level course in data science with a C- or better

Instructors: Hellerstein, Parameswaran, Jain

Data Engineering: Read Less [-]

INFO 259 Natural Language Processing 4 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 This course introduces students to natural language processing and exposes them to the variety of methods available for reasoning about text in computational systems. NLP is deeply interdisciplinary, drawing on both linguistics and computer science, and helps drive much contemporary work in text analysis (as used in computational social science, the digital humanities, and computational journalism). We will focus on major algorithms used in NLP for various applications (part-of-speech tagging, parsing, coreference resolution, machine translation) and on the linguistic phenomena those algorithms attempt to model. Students will implement algorithms and create linguistically annotated data on which those algorithms depend. Natural Language Processing: Read More [+]

Prerequisites: Familiarity with data structures, algorithms, linear algebra, and probability

Natural Language Processing: Read Less [-]

INFO C262 Theory and Practice of Tangible User Interfaces 4 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022, Fall 2021 This course explores the theory and practice of Tangible User Interfaces, a new approach to Human Computer Interaction that focuses on the physical interaction with computational media. The topics covered in the course include theoretical framework, design examples, enabling technologies, and evaluation of Tangible User Interfaces. Students will design and develop experimental Tangible User Interfaces using physical computing prototyping tools and write a final project report. Theory and Practice of Tangible User Interfaces: Read More [+]

Instructor: Ryokai

Also listed as: NWMEDIA C262

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INFO C265 Interface Aesthetics 3 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 This course will cover new interface metaphors beyond desktops (e.g., for mobile devices, computationally enhanced environments, tangible user interfaces) but will also cover visual design basics (e.g., color, layout, typography, iconography) so that we have systematic and critical understanding of aesthetically engaging interfaces. Students will get a hands-on learning experience on these topics through course projects, design critiques , and discussions, in addition to lectures and readings. Interface Aesthetics: Read More [+]

Also listed as: NWMEDIA C265

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INFO 271B Quantitative Research Methods for Information Systems and Management 3 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022 Introduction to many different types of quantitative research methods, with an emphasis on linking quantitative statistical techniques to real-world research methods. Introductory and intermediate topics include: defining research problems, theory testing, casual inference, probability, and univariate statistics. Research design and methodology topics include: primary/secondary survey data analysis, experimental designs, and coding qualitative data for quantitative analysis. Quantitative Research Methods for Information Systems and Management: Read More [+]

Prerequisites: Introductory statistics recommended

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INFO 272 Qualitative Research Methods for Information Systems and Management 3 Units

Terms offered: Fall 2024, Fall 2023, Fall 2022 Theory and practice of naturalistic inquiry. Grounded theory. Ethnographic methods including interviews, focus groups, naturalistic observation. Case studies. Analysis of qualitative data. Issues of validity and generalizability in qualitative research. Qualitative Research Methods for Information Systems and Management: Read More [+]

Instructor: Burrell

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INFO 283 Information and Communications Technology for Development 3 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 This seminar reviews current literature and debates regarding Information and Communication Technologies and Development (ICTD). This is an interdisciplinary and practice-oriented field that draws on insights from economics, sociology, engineering, computer science, management, public health, etc. Information and Communications Technology for Development: Read More [+]

Fall and/or spring: 15 weeks - 3 hours of seminar per week

Additional Format: Three hours of seminar per week.

Instructor: Saxenian

Formerly known as: Information C283

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INFO 288 Big Data and Development 3 Units

Terms offered: Spring 2024, Spring 2021, Spring 2019 As new sources of digital data proliferate in developing economies, there is the exciting possibility that such data could be used to benefit the world’s poor. Through a careful reading of recent research and through hands-on analysis of large-scale datasets, this course introduces students to the opportunities and challenges for data-intensive approaches to international development. Students should be prepared to dissect, discuss, and replicate academic publications from several fields including development economics, machine learning, information science, and computational social science. Students will also conduct original statistical and computational analysis of real-world data. Big Data and Development: Read More [+]

Prerequisites: Students are expected to have prior graduate training in machine learning, econometrics, or a related field

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INFO 289 Public Interest Cybersecurity: The Citizen Clinic Practicum 3 Units

Terms offered: Spring 2024, Fall 2023, Spring 2023 This course provides students with real-world experience assisting politically vulnerable organizations and persons around the world to develop and implement sound cybersecurity practices. In the classroom, students study basic theories and practices of digital security, intricacies of protecting largely under-resourced organizations, and tools needed to manage risk in complex political, sociological, legal, and ethical contexts. In the clinic , students work in teams supervised by Clinic staff to provide direct cybersecurity assistance to civil society organizations. We emphasize pragmatic, workable solutions that take into account the unique needs of each partner organization. Public Interest Cybersecurity: The Citizen Clinic Practicum: Read More [+]

Repeat rules: Course may be repeated for credit with instructor consent.

Public Interest Cybersecurity: The Citizen Clinic Practicum: Read Less [-]

INFO 290 Special Topics in Information 1 - 4 Units

Terms offered: Fall 2024, Summer 2024 10 Week Session, Spring 2024 Specific topics, hours, and credit may vary from section to section, year to year. Special Topics in Information: Read More [+]

Repeat rules: Course may be repeated for credit when topic changes. Students may enroll in multiple sections of this course within the same semester.

Fall and/or spring: 8 weeks - 2-8 hours of lecture per week 15 weeks - 1-4 hours of lecture per week

Summer: 10 weeks - 1.5-6 hours of lecture per week

Additional Format: One to four hours of lecture per week. One and one-half to six hours of lecture per week for 10 weeks. Two to eight hours of lecture per week for 8 weeks.

Special Topics in Information: Read Less [-]

INFO 290M Special Topics in Management 1 - 4 Units

Terms offered: Fall 2024, Spring 2024, Fall 2023 Specific topics, hours, and credit may vary from section to section and year to year. Special Topics in Management: Read More [+]

Additional Format: One to four hours of lecture per week. Two to eight hours of lecture per week for 8 weeks.

Special Topics in Management: Read Less [-]

INFO 290S Special Topics in Social Science and Policy 2 - 4 Units

Terms offered: Fall 2023, Spring 2023 Specific topics, hours, and credit may vary from section to section and year to year. Special Topics in Social Science and Policy: Read More [+]

Fall and/or spring: 8 weeks - 4-8 hours of lecture per week 15 weeks - 2-4 hours of lecture per week

Additional Format: Two to four hours of lecture per week. Four to eight hours of lecture per week for 8 weeks.

Special Topics in Social Science and Policy: Read Less [-]

INFO 290T Special Topics in Technology 2 - 4 Units

Terms offered: Spring 2024, Fall 2023, Spring 2023 Specific topics, hours, and credit may vary from section to section and year to year. Special Topics in Technology: Read More [+]

Special Topics in Technology: Read Less [-]

INFO 291 Special Topics in Information 1 - 4 Units

Terms offered: Prior to 2007 Specific topics, hours, and credit may vary from section to section, year to year. Special Topics in Information: Read More [+]

Repeat rules: Course may be repeated for credit when topic changes.

Fall and/or spring: 15 weeks - 1-4 hours of lecture per week

Additional Format: One to four hours of lecture per week.

Grading: Offered for satisfactory/unsatisfactory grade only.

Instructor: Hoofnagle

INFO 293 Information Management Practicum 0.5 Units

Terms offered: Fall 2016, Summer 2016 10 Week Session, Spring 2016 This course is designed to help School of Information graduate students maximize their internship, practicum, or independent research experiences. Information Management Practicum: Read More [+]

Course Objectives: Experience the practical application of your academic knowledge to real-world professional contexts; Gain insight into an organization and how one might make a valuable contribution; Reflect on the information the experience has provided, to see if it fits within one’s personal value set and work/life manifestos. Try out various professional activities to see when you are in ‘flow’;

Student Learning Outcomes: Assess the organizational culture of a company, governmental body, or non-governmental organization Connect academic knowledge about information management to real-world professional contexts Evaluate the effectiveness of a variety of information science techniques when deployed in organizational situations Integrate the student's own individual professional goals with the organization's needs relevant to the internship or practicum Reflect critically on the internship or practicum experience

Prerequisites: Consent of a Head Graduate Adviser for the School of Information

Repeat rules: Course may be repeated for credit without restriction.

Fall and/or spring: 15 weeks - 1 hour of internship per week

Summer: 10 weeks - 1.5 hours of internship per week

Additional Format: One hour of internship per week. One and one-half hours of internship per week for 10 weeks.

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INFO 294 Doctoral Research and Theory Workshop 2 Units

Terms offered: Spring 2024, Spring 2023, Spring 2022 An intensive weekly discussion of current and ongoing research by Ph.D. students with a research interest in issues of information (social, legal, technical, theoretical, etc.). Our goal is to focus on critiquing research problems, theories, and methodologies from multiple perspectives so that we can produce high-quality, publishable work in the interdisciplinary area of information research. Circulated material may include dissertation chapters , qualifying papers, article drafts, and/or new project ideas. We want to have critical and productive discussion, but above all else we want to make our work better: more interesting, more accessible, more rigorous, more theoretically grounded, and more like the stuff we enjoy reading. Doctoral Research and Theory Workshop: Read More [+]

Prerequisites: PhD students only

Fall and/or spring: 15 weeks - 2 hours of workshop per week

Additional Format: Two hours of workshop per week.

Doctoral Research and Theory Workshop: Read Less [-]

INFO 295 Doctoral Colloquium 1 Unit

Terms offered: Fall 2024, Fall 2023, Spring 2023 Colloquia, discussion and readings designed to introduce students to the range of interests of the school. Doctoral Colloquium: Read More [+]

Prerequisites: Ph.D. standing in the School of Information

Fall and/or spring: 15 weeks - 1 hour of colloquium per week

Additional Format: One hour of colloquium per week.

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INFO 296A Seminar 2 - 4 Units

Terms offered: Fall 2024, Spring 2024, Fall 2023 Topics in information management and systems and related fields. Specific topics vary from year to year. Seminar: Read More [+]

Prerequisites: Consent of instructor

Fall and/or spring: 15 weeks - 2-4 hours of seminar per week

Additional Format: Two to Four hours of Seminar per week for 15 weeks.

Seminar: Read Less [-]

INFO 298 Directed Group Study 1 - 4 Units

Terms offered: Fall 2019, Spring 2016, Fall 2015 Group projects on special topics in information management and systems. Directed Group Study: Read More [+]

Credit Restrictions: Students will receive no credit for INFO 298 after completing INFOSYS 298.

Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week

Summer: 8 weeks - 1.5-7.5 hours of directed group study per week

Additional Format: One to four hours of directed group study per week. One and one-half to seven and one-half hours of directed group study per week for 8 weeks.

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INFO 298A Directed Group Work on Final Project 1 - 4 Units

Terms offered: Spring 2022, Spring 2016, Spring 2015 The final project is designed to integrate the skills and concepts learned during the Information School Master's program and helps prepare students to compete in the job market. It provides experience in formulating and carrying out a sustained, coherent, and significant course of work resulting in a tangible work product; in project management, in presenting work in both written and oral form; and, when appropriate, in working in a multidisciplinary team. Projects may take the form of research papers or professionally-oriented applied work. Directed Group Work on Final Project: Read More [+]

Prerequisites: Consent of instructor. Course must be taken for a letter grade to fulfill degree requirements

Additional Format: One to four hours of directed group study per week.

Directed Group Work on Final Project: Read Less [-]

INFO 299 Individual Study 1 - 12 Units

Terms offered: Fall 2024, Fall 2023, Summer 2016 8 Week Session Individual study of topics in information management and systems under faculty supervision. Individual Study: Read More [+]

Fall and/or spring: 15 weeks - 1-12 hours of independent study per week

Summer: 8 weeks - 2-22.5 hours of independent study per week

Additional Format: Format varies.

Individual Study: Read Less [-]

INFO 375 Teaching Assistance Practicum 2 Units

Terms offered: Spring 2024, Fall 2021, Fall 2020 Discussion, reading, preparation, and practical experience under faculty supervision in the teaching of specific topics within information management and systems. Does not count toward a degree. Teaching Assistance Practicum: Read More [+]

Fall and/or spring: 15 weeks - 2 hours of lecture per week

Additional Format: Two hours of lecture per week.

Subject/Course Level: Information/Professional course for teachers or prospective teachers

Instructor: Duguid

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INFO 602 Individual Study for Doctoral Students 1 - 5 Units

Terms offered: Spring 2016, Fall 2015, Spring 2015 Individual study in consultation with the major field adviser, intended to provide an opportunity for qualified students to prepare themselves for the various examinations required of candidates for the Ph.D. degree. Individual Study for Doctoral Students: Read More [+]

Fall and/or spring: 15 weeks - 1-5 hours of independent study per week

Additional Format: One to Five hour of Independent study per week for 15 weeks.

Subject/Course Level: Information/Graduate examination preparation

Individual Study for Doctoral Students: Read Less [-]

Contact Information

School of information.

102 South Hall

Phone: 510-642-1464

Senior Director of Student Affairs

Siu Yung Wong

[email protected]

Senior Director of Admissions

Julia Sprague

[email protected]

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PhD In Management Information Systems

Program Overview

The PhD in Business Administration with a focus in Management Information Systems is a five-year full-time program. Consistently ranked among the best information systems PhD programs worldwide, the program is known for its cutting-edge research and support from actively publishing faculty.

The program prepares future information systems academics by providing strong foundations in a broad range of methods spanning psychometrics, econometrics, computational, design, and qualitative and by providing a strong emphasis in theory development to address important business and societal problems.

Given that information systems are ubiquitous and influence every aspect of life — individuals’ personal and work life, their transactions and interactions, organizational processes, outcomes, and interorganizational relationships, online platforms, markets, governments and society — the information systems field is broad and interdisciplinary and affords research opportunities across a diverse range of topics.

The research approach in the program is problem-focused, theory-based, and method-inclusive (i.e., all methods are welcome and no one single method is favored). Our PhD program provides you with significant individual flexibility, while at the same time ensuring you acquire the necessary conceptual and methodological skills to become a scholarly leader in our field.

Priority deadline: January 4

Applications after January 4 will also be considered until spots are filled

C.Herman and Mary Virginia Terry Distinguished Chair of Business Administration, UGA Distinguished Research Professor and Professor , Department of Management Information Systems

Why a PhD in MIS?

There are five compelling reasons to join our program:

Research Productivity

We are among the most research-productive groups, consistently ranked in the top 10 or top 15 departments worldwide in publications in the top two IS journals ( MIS Quarterly and Information Systems Research ). Further, several of our faculty have won multiple research grants and awards for outstanding research.

Internationally Renowned Faculty

Our faculty includes a former president of the Association for Information Systems (Richard Watson), two Leo Award winners — the highest award in the field (Richard Watson and Elena Karahanna) — and three AIS Fellows (Richard Watson, Hugh Watson and Elena Karahanna).

Editorial Appointments

Our faculty includes current and former senior editors at MIS Quarterly , Information Systems Research , and the Journal of the Association for Information Systems , associate editors at MIS Quarterly , Information Systems Research , Management Science , and the Journal of the Association for Information Systems , and editorial board members of the Journal of Management Information Systems and Strategic Management Journal , among others.

Weekly Research Seminars

In these weekly seminars top scholars from around the world present and discuss their research. The PhD students have the opportunity to interact and discuss their research with these scholars in a meeting after the seminar.

Student Focus

Our culture is collaborative and supportive and one in which we view our students as junior colleagues. Students are provided extensive mentoring, support, and personal attention given our one-to-one faculty-student ratio. Evidence of the quality of mentoring is the outstanding placement of doctoral students and the plethora of journal papers co-authored with our faculty (over 100 publications in the past 10 years). Students can work with multiple faculty, not just their dissertation chair as they develop as scholars.

Typical Course Sequence

MIST 9700 : IS Research Fundamentals
MIST 9770 : Research Methods
MIST 9760 : Foundational IS Theories and Emerging IS Phenomena
MIST 9780 : Workshop & MTP
Multivariate Statistics
MIST 9750 : User Behavior and Technology Innovation 1
MIST 9777 : Big Data Research Methods
MGMT 9620 : Econometrics for Strategic Management
GRSC 7770 : Teaching Seminar
MIST 8990 : Directed Study
First Year Exam (May)
First Year Summer Paper due (beginning of Fall Semester)
MIST 9790 : Combining Machine Learning and Econometrics
MGMT 9610 : Introduction to SEM
MIST 9710 : Digital Strategy and Digital Innovation 1
MIST 9740 : Qualitative Research Methods
Research Methods Elective
Written & Oral Prelims
Second Year Summer Paper due (beginning of Fall Semester)
MIST 9000 : Doctoral Research
Dissertation Proposal Defense
MIST 9300 : Doctoral Dissertation
MIST 9300 : Doctoral Dissertation
MIST 9300 : Doctoral Dissertation
Dissertation Defense 2
MIST 9750 and MIST 9710 are offered every other year. Some incoming PhD student cohorts will take MIST 9750 in their first year and MIST 9710 in their second year and others will take MIST 9750 in their second year and MIST 9710 in their first year. ↩︎
Dissertation defense occurs in the spring of their fifth year. ↩︎

Our PhD graduates are placed in top research universities around the world.

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Department of Management Information Systems

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Current PhDs
Faculty Research

Information Systems Research Topics for MS PhD

Information systems research topic ideas for ms, or ph.d. degree.

I am sharing with you some of the research topics regarding Information Systems that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.

A survey on blockchain for information systems management and security
The perils and promises of big data research in information systems
A novel Dual-Blockchained structure for contract-theoretic LoRa-based information systems
A novel decision-making approach based on three-way decisions in fuzzy information systems
Review and critique of the information systems development project failure literature: An argument for exploring information systems development project distress
Product decision-making information systems, real-time big data analytics, and deep learning-enabled smart process planning in sustainable industry 4.0
Blockchain-based privacy-preserving remote data integrity checking scheme for IoT information systems
Human resource information systems
The role of three-dimensional geographic information systems in subsurface characterization for hydrogeological applications
Cognition digital twins for personalized information systems of smart cities: Proof of concept
Trust in Management Information Systems (MIS) A Theoretical Model
Exploring the characteristics and utilisation of Farm Management Information Systems (FMIS) in Germany
Managing risk in information systems
Data science: developing theoretical contributions in information systems via text analytics
The Determinants of management information systems effectiveness in small-and medium-sized enterprises
Accounting information systems: controls and processes
Weaponizing information systems for political disruption: The actor, lever, effects, and response taxonomy (ALERT)
A systematic review of social media acceptance from the perspective of educational and information systems theories and models
End-user participation in health information systems (HIS) development: Physicians’ and nurses’ experiences
Financial Management Information Systems and accounting policies retention in Brazil
A common attribute reduction form for information systems
… quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean Information Systems …
Geographic information systems (GIS) for disaster management
Enabling supply chain analytics for enterprise information systems: a topic modelling literature review and future research agenda
A Systematic Review of Empirical Affordance studies: Recommendations for Affordance Research in Information Systems.
Applying Team-Based Learning in Online Introductory Information Systems Courses
Complexity and Information Systems Rsearch in the Emerging Digital World
Public health informatics and information systems
Analyzing the location of city logistics centers in Istanbul by integrating Geographic Information Systems with Binary Particle Swarm Optimization algorithm
Understanding the challenges associated with the use of data from routine health information systems in low-and middle-income countries: A systematic review
Integration of the Dimensions of Computerized Health Information Systems and Their Role in Improving Administrative Performance in Al-Shifa Medical Complex
Accounting information systems in the blockchain era
Continuous transition from model-driven prototype to full-size real-world enterprise information systems
On the Use of Qualitative Comparative Analysis in Information Systems Research-A Critical Review
Implementation of business intelligence considering the role of information systems integration and enterprise resource planning
Utilizing chemometrics and geographical information systems to evaluate spatial and temporal variations of coastal water quality
Optimizing data quality of pharmaceutical information systems in public health care in resource limited settings
The impact of Public Sector Scorecard adoption on the effectiveness of accounting information systems towards the sustainable performance in Public Sector
The role of information systems in decision-making and public policy making
Analysis of barriers to the deployment of health information systems: A stakeholder perspective
Reengineering of Information Systems toward Classical-Quantum Systems.
Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective
Organizational information security management for sustainable information systems: An unethical employee information security behavior perspective
Organization of a virtual enterprise in information systems
Twenty‐five years of the Information Systems Journal: A bibliometric and ontological overview
Green Information Systems Refraction for Corporate Ecological Responsibility Reflection in ICT Based Firms: Explicating Technology Organization Environment …
A Data Analytics Framework for Smart Asthma Management Based on Remote Health Information Systems with Bluetooth-Enabled Personal Inhalers.
Utilisation of hospital information systems for medical research in Saudi Arabia: A mixed-method exploration of the views of healthcare and IT professionals involved in …
Unconstrained design: Improving multitasking with in-vehicle information systems through enhanced situation awareness
The architecture of computer hardware, systems software, and networking: An information technology approach
Covid-19 pandemic and suicide in France: An opportunity to improve information systems
Information Technology and Systems: Proceedings of ICITS 2020
Risk Management in Information Technology
The effects of information systems compatibility on firm performance following mergers and acquisitions
Information Systems Students’ Impressions on Learning Modeling Enterprise Architectures
Drivers of intentions to use healthcare information systems among health and care professionals
Vulnerability and protection of business management systems: threats and challenges
Development of algorithm for analysis of sound fragments in medical information systems
A framework for validating information systems research based on a pluralist account of truth and correctness
Use of ontology learning in information system integration: a literature survey
Conceptmap: A conceptual approach for formulating user preferences in large information spaces
An Analysis of Point of Sales (POS) Information Systems in SMEswith The Black Box Testing and PIECES Method
Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation
Virtually in this together–how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis
Roadmap to strengthen global mental health systems to tackle the impact of the COVID-19 pandemic
Information and Communication Infrastructures in Modern Wide-Area Systems
Cyber-Physical Systems: a multi-criteria assessment for Internet-of-Things (IoT) systems
On the declarative paradigm in hybrid business process representations: A conceptual framework and a systematic literature study
Compact and high-performance vortex mode sorter for multi-dimensional multiplexed fiber communication systems
A modeling method for systematic architecture reconstruction of microservice-based software systems
Decision support systems for agriculture 4.0: Survey and challenges
Blockchain adoption from an interorganizational systems perspective–a mixed-methods approach
Exploiting chemistry and molecular systems for quantum information science
Information Technology Governance: Reflections on the Past and Future Directions
The price of fairness-A framework to explore trade-offs in algorithmic fairness
Shared Ledger Accounting—Implementing the Economic Exchange Pattern
Implications of Knowledge Organization Systems for Health Information Exchange and Communication during the COVID-19 Pandemic
Using secondary data to tell a new story: A cautionary tale in health information technology research
Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making
Integration of new information in memory: new insights from a complementary learning systems perspective
What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?
The rise of human machines: How cognitive computing systems challenge assumptions of user-system interaction
Community-diversified influence maximization in social networks
Electronic religious programs on islamic subjects on the example of the sanctuary of Al-Hakim Al-Termizi
An incremental attribute reduction approach based on knowledge granularity for incomplete decision systems
Unpacking the difference between digital transformation and IT-enabled organizational transformation
Information scrambling at finite temperature in local quantum systems
Auditing cloud-based blockchain accounting systems
Eye-tracking-based classification of information search behavior using machine learning: evidence from experiments in physical shops and virtual reality shopping …
Uncertain information and linear systems
Maritime reporting systems
Evaluating E-learning systems success: An empirical study
Information freshness in cache updating systems
Business models shifts: Impact of Covid-19
A trustworthiness-based vehicular recruitment scheme for information collections in distributed networked systems
Medical information retrieval systems for e-Health care records using fuzzy based machine learning model
On the reliability of test collections for evaluating systems of different types
Global health crises are also information crises: A call to action
Review of compact computational spectral information acquisition systems
A pre-filtering approach for incorporating contextual information into deep learning based recommender systems
Mapping county-level mobility pattern changes in the United States in response to COVID-19
Banana Classification Using Deep Learning
Information technology elements for optical systems of identification of autonomous underwater vehicles
Time-efficient target tags information collection in large-scale RFID systems
Blockchain and the united nations sustainable development goals: towards an agenda for is research
Infrastructural sovereignty over agreement and transaction data (‘metadata’) in an open network-model for multilateral sharing of sensitive data
Are high-performing health systems resilient against the COVID-19 epidemic?
The search for smartness in working, living and organising: beyond the ‘Technomagic’
Covert communications without channel state information at receiver in IoT systems
Hypertext: from text to expertext
JSON: Data model and query languages
Introduction to ultra-wideband radar systems
Machine learning based diagnosis of diseases using the unfolded EEG spectra: towards an intelligent software sensor
A review of research relevant to the emerging industry trends: Industry 4.0, IoT, blockchain, and business analytics
Principles of construction of systems for diagnosing the energy equipment
Editorial reflections: Lockdowns, slow downs, and some introductions
Containing COVID-19 through physical distancing: the impact of real-time crowding information
Evaluating content novelty in recommender systems
Smart city model based on systems theory
Type of Grapefruit Classification Using Deep Learning
Information technology audit quality: an investigation of the impact of individual and organizational factors
Directions for professional social matching systems
Conceptual approach to building a digital twin of the production system
New information technologies in the estimation of stationary modes of the third type systems
RF systems design for simultaneous wireless information and power transfer (SWIPT) in automation and transportation
Capturing the complexity of gamification elements: a holistic approach for analysing existing and deriving novel gamification designs
Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey
Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users
Eight grand challenges in socio-environmental systems modeling
Future integrated mobility-energy systems: A modeling perspective
A novel framework to evaluate innovation value proposition for smart product–service systems
Diagnostic Systems For Energy Equipments
Utilising neutrosophic theory to solve transition difficulties of IoT-based enterprises
Towards smart farming: Systems, frameworks and exploitation of multiple sources
Measuring Resilience of Human–Spatial Systems to Disasters: Framework Combining Spatial-Network Analysis and Fisher Information
Age of information for multicast transmission with fixed and random deadlines in IoT systems
The role of personality and linguistic patterns in discriminating between fake news spreaders and fact checkers
Mapping the incidence of the COVID-19 hotspot in Iran–Implications for Travellers
How farmers shape cultural landscapes. Dealing with information in farm systems (Vallès County, Catalonia, 1860)
An overview of clinical decision support systems: benefits, risks, and strategies for success
Will the COVID-19 pandemic change waste generation and composition?: The need for more real-time waste management data and systems thinking
Digital Systems and New Challenges of Financial Management–FinTech, XBRL, Blockchain and Cryptocurrencies
Identity asymmetries: An experimental investigation of social identity and information exchange in multiteam systems
How enterprises adopt agile forms of organizational design: a multiple-case study
Acceptance of text-mining systems: The signaling role of information quality
Improving health care management in hospitals through a productivity dashboard
The construction of smart city information system based on the Internet of Things and cloud computing
Foundations of cryptoeconomic systems
Information distribution in multi-robot systems: Utility-based evaluation model
Dew computing architecture for cyber-physical systems and IoT
The port as a set of socio-technical systems: A multi-organisational view
IOS drivers of manufacturer-supplier flexibility and manufacturer agility
A secure authenticated and key exchange scheme for fog computing
Information and communication technologies in tourism
The effect of customer lifestyle patterns on the use of mobile banking applications in Jordan
Human identification for activities of daily living: A deep transfer learning approach
The geography of transport systems
Virtual reality
Technical provision of diagnostic systems
The contribution of systems science to Industry 4.0
Peers matter: The moderating role of social influence on information security policy compliance
On the age of information in internet of things systems with correlated devices
A survey on knowledge graph-based recommender systems
How corporate social responsibility activities influence employer reputation: The role of social media capability
A dual systems model of online impulse buying
Explanatory and predictive model of the adoption of P2P payment systems
Public Health Informatics: An Introduction
Principles of ties of internal control and management accounting systems at the enterprises of black metallurgy
Pivot-based approximate k-NN similarity joins for big high-dimensional data
Classifying nuts types using convolutional neural network
Enabling the analysis of personality aspects in recommender systems
Transparency and accountability in AI decision support: Explaining and visualizing convolutional neural networks for text information
Cornac: A Comparative Framework for Multimodal Recommender Systems
Trust information network in social Internet of things using trust-aware recommender systems
The Role of KM in Enhancing AI Algorithms and Systems
Towards a characterisation of smart systems: A systematic literature review
Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life
Output and regulated output synchronization of heterogeneous multi-agent systems: A scale-free protocol design using no information about communication network …
Secure lightweight password authenticated key exchange for heterogeneous wireless sensor networks
How voluntary information sharing systems form: Evidence from a us commercial credit bureau
Designing multistage search systems to support the information seeking process
Recent Advances in Flexible and Stretchable Sensing Systems: From the Perspective of System Integration
Integrating geospatial technologies and unmanned aircraft systems into the grower’s disease management toolbox
A development framework for decision support systems in high-performance sport
Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China
IoT Data Management—Security Aspects of Information Linkage in IoT Systems
Task recommendation in crowdsourcing systems: A bibliometric analysis
Survey on various conversational systems
The Role Of Blockchain As A Security Support For Student Profiles In Technology Education Systems
Reliability bounds for multi-state systems by fusing multiple sources of imprecise information
On the design of output information-based sliding mode controllers for switched descriptor systems: Linear sliding variable approach
The pinar del río geography and connected photovoltaic systems to grid
Challenges and future directions of computational advertising measurement systems
Fisher information and Shannon entropy calculations for two-electron systems
TAMING COMPLEXITY IN SEARCH MATCHING: TWO-SIDED RECOMMENDER SYSTEMS ON DIGITAL PLATFORMS.
An extensive study on the evolution of context-aware personalized travel recommender systems
Clustering and self-organization in small-scale natural and artificial systems
Establishing smart service systems is a challenge: a case study on pitfalls and implications
Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector
The negative skycube
Towards digital engineering: the advent of digital systems engineering
An Integrated model of continuous intention to use of google classroom
Port Community Systems: A structured literature review
Working towards a multimedia learning environment: experiences in the classroom
Large-scale question tagging via joint question-topic embedding learning
Skills, Certifications, or Degrees: What Companies Demand for Entry-Level Cybersecurity Jobs.
Geographic objects with indeterminate boundaries
Recent advances and challenges in task-oriented dialog systems
Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model
Diagnosis of arthritis using adaptive hierarchical Mamdani fuzzy type-1 expert system
Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system
Cybernetic Approach to Developing Resilient Systems: Concept, Models and Application
Factors that affect accounting information system success and its implication on accounting information quality
Reconciliation of privacy with preventive cybersecurity: The bright internet approach
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
A survey on conversational recommender systems
A human-in-the-loop manufacturing control architecture for the next generation of production systems
Dynamic representations in networked neural systems
Cognitive twins for supporting decision-makings of Internet of Things systems
Challenges in building intelligent open-domain dialog systems
Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia
Mutual clustering on comparative texts via heterogeneous information networks
Smart production systems drivers for business process management improvement
Real time dataset generation framework for intrusion detection systems in IoT
COVID-19 pandemic: Shifting digital transformation to a high-speed gear
Design Theory Indeterminacy: What is it, how can it be reduced, and why did the polar bear drown?
A cloud-based platform for the non-invasive management of coronary artery disease
A practical GIS-based hazard assessment framework for water quality in stormwater systems
An affordance perspective of team collaboration and enforced working from home during COVID-19
Health Information Systems, 2008
Applications and Datasets for Superpixel Techniques: A Survey
An ECDSA Approach to Access Control in Knowledge Management Systems Using Blockchain
What makes a review a reliable rating in recommender systems?
Revocation Mechanisms for Academic Certificates Stored on a Blockchain
Context-Aware Recommendations Based on Deep Learning Frameworks
Towards automating the synthesis of chatbots for conversational model query
A hierarchical model to evaluate the quality of web-based e-learning systems
Blockchain technology-enabled supply chain systems and supply chain performance: a resource-based view
Analyzing Cryptocurrencies
Estimation-action-reflection: Towards deep interaction between conversational and recommender systems
Recommender systems and their ethical challenges
Advanced Database systems
Towards predictive maintenance for flexible manufacturing using FIWARE
Automated continuous noninvasive ward monitoring: validation of measurement systems is the real challenge
Digital nomads
An Algorithm to Select an Energy-Efficient Sever for an Application Process in a Cluster of Servers
Evolution and revolution: Personality research for the coming world of robots, artificial intelligence, and autonomous systems
Considering random factors in modeling complex microeconomic systems
Discrete event-driven model predictive control for real-time work-in-process optimization in serial production systems
Challenges to transforming unconventional social media data into actionable knowledge for public health systems during disasters
An analysis of learners’ intentions toward virtual reality online learning systems: a case study in Taiwan
Techno-unreliability: a pilot study in the field
Learning relational fractals for deep knowledge graph embedding in online social networks
A novel approach towards using big data and IoT for improving the efficiency of m-health systems
Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
State machine based human-bot conversation model and services
Contributions of scale: what we stand to gain from Indigenous and local inclusion in climate and health monitoring and surveillance systems
Intelligent knowledge lakes: The age of artificial intelligence and big data
Learning management systems: a review of the research methodology literature in Australia and China
Performance Analysis of Machine Learning Algorithms for Cervical Cancer Detection
Privacy in Dynamical Systems
Prominence and engagement: Different mechanisms regulating continuance and contribution in online communities
Evaluation of views regarding pharmacy information management systems implementation and systemic issues in community pharmacies
A critical look at theories in design science research
What affects usage satisfaction in mobile payments? Modelling user generated content to develop the “digital service usage satisfaction model”
A survey on empathetic dialogue systems
Method of constructing explanations for recommender systems based on the temporal dynamics of user preferences
How Foreign and Domestic Firms Differ in Leveraging IT-enabled Supply Chain Information Integration in BOP Markets: The Role of Supplier and Client …
… trial of an information technology enhanced peer-integrated collaborative care intervention versus enhanced usual care for us trauma care systems: clinical …
From responsive to adaptive and interactive materials and materials systems: A roadmap
A multi-dimensional model of Enterprise Resource Planning critical success factors
A minimum centre distance rule activation method for extended belief rule-based classification systems
A fuzzy-based system for assessment of available edge computing resources in a cloud-fog-edge SDN-VANETs architecture
Advances in smart environment monitoring systems using iot and sensors
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data
About trust in the information systems on the basis of internet-based technologies
Cyber-physical production systems retrofitting in context of industry 4.0
Distributed maximum correntropy filtering for stochastic nonlinear systems under deception attacks
Adaptive rule adaptation in unstructured and dynamic environments
Systems thinking: A review and bibliometric analysis
Introduction to unmanned aircraft systems
Recent advances and opportunities for improving critical realism-based case study research in IS
Data analytics in higher education: an integrated view
Governance by Other Means: Rankings as Regulatory Systems
Codifying Interdisciplinary Design Knowledge through Patterns–The Case of Smart Personal Assistants
Critical factors in information technology capability for enhancing firm’s environmental performance: case of Indonesian ICT sector
A Model Management Platform for Industry 4.0–Enabling Management of Machine Learning Models in Manufacturing Environments
Compact polarizers for satellite information systems
Combining multicriteria decision analysis and GIS to assess vulnerability within a protected area: An objective methodology for managing complex and fragile systems
Contextualizing the effective use of social media network for collaborative learning: An affordance perspective
Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior
Design of an Inclusive Financial Privacy Index (INF-PIE): A Financial Privacy and Digital Financial Inclusion Perspective
Applying a systematic literature review and content analysis method to analyse open source developers’ forking motivation interpretation, categories and …
Satellite communications systems: systems, techniques and technology
TOPSIS method for developing supplier selection with probabilistic linguistic information
The role of information technology in organization and management in tourism
Big data analytics in healthcare: a systematic literature review
Configuration Optimization and Channel Estimation in Hybrid Beamforming mmWave Systems With Channel Support Side Information
High-Capacity Robust Image Steganography via Adversarial Network.
Does Tailoring Gamified Educational Systems Matter? The Impact on Students’ Flow Experience
Soft systems methodology
Computer Tools for Energy Systems
Customer loyalty improves the effectiveness of recommender systems based on complex network
Assessment of workforce systems preferences/skills based on Employment domain
Efficient NTRU lattice-based certificateless signature scheme for medical cyber-physical systems
Market drivers of sustainability and sustainability learning capabilities: The moderating role of sustainability control systems
Fedfast: Going beyond average for faster training of federated recommender systems
Sustainability management control systems in higher education institutions from measurement to management
Understanding user trust in artificial intelligence‐based educational systems: Evidence from China
Feature selection using genetic algorithms for the generation of a recognition and classification of children activities model using environmental sound
Attributes reductions of bipolar fuzzy relation decision systems
Basic classes in conceptual modeling: theory and practical guidelines
Dynamic-sos: An approach for the simulation of systems-of-systems dynamic architectures
A novel software engineering approach toward using machine learning for improving the efficiency of health systems
Emergent properties of foveated perceptual systems
Fuzzy model estimation of the risk factors impact on the target of promotion of the software product
A real-time data-driven collaborative mechanism in fixed-position assembly systems for smart manufacturing
Ontologies as nested facet systems for human–data interaction
Incorporating rainwater harvesting systems in Iran’s potable water-saving scheme by using a GIS-simulation based decision support system
Digital storytelling and blockchain as pedagogy and technology to support the development of an inclusive smart learning ecosystem
… of everyday life–How COVID-19 pandemic transformed the basic education of the young generation and why information management research should care?
Teaching programming to the post-millennial generation: Pedagogic considerations for an IS course
Uncertainty in information system development: Causes, effects, and coping mechanisms
An effective training scheme for deep neural network in edge computing enabled Internet of medical things (IoMT) systems
Bureaucracy as a lens for analyzing and designing algorithmic systems
Strictly linear light cones in long-range interacting systems of arbitrary dimensions
Self-sovereign identity in a globalized world: Credentials-based identity systems as a driver for economic inclusion
How Much Method-in-Use Matters? A Case Study of Agile and Waterfall Software Projects and Their Design Routine Variation
Underground channel model for visible light wireless communication based on neural networks
Enhancing the classification of social media opinions by optimizing the structural information
Web Scraping with HTML DOM Method for Data Collection of Scientific Articles from Google Scholar
Robotic process mining: vision and challenges
High-performance work systems, innovation and knowledge sharing
A systematic analysis of the optimization of computerized physician order entry and clinical decision support systems: a qualitative study in English hospitals
Software systems from smart city vendors
Information Processing, Information Networking, Cognitive Apparatuses and Sentient Software Systems
WAx: An integrated conceptual framework for the analysis of cyber-socio-technical systems
On data lake architectures and metadata management
Interactive planning support systems with citizens: Lessons learned from renewable energy planning in the Netherlands
Professional identity and the adoption of learning management systems
Towards Anticipatory Information Systems and Action: Notes on Early Warning and Early Action in East Africa
Perception and prediction of intention to use online banking systems: An empirical study using extended TAM
Automated verbal autopsy: from research to routine use in civil registration and vital statistics systems
Adaptive event-triggered control for unknown second-order nonlinear multiagent systems
Resource awareness in unmanned aerial vehicle-assisted mobile-edge computing systems
Improved covering-based collaborative filtering for new users’ personalized recommendations
A new model for the selection of information technology project in a neutrosophic environment
Experience versus expectation: Farmers’ perceptions of smart farming technologies for cropping systems across Europe
Agility and the role of project—Internal control systems for innovation project performance
Introducing systems approaches
Decreasing the problematic use of an information system: An empirical investigation of smartphone game players
Off-policy learning in two-stage recommender systems
Efficient neural matrix factorization without sampling for recommendation
Application of k-means clustering algorithm for determination of fire-prone areas utilizing hotspots in West Kalimantan Province
Sentiment word co-occurrence and knowledge pair feature extraction based LDA short text clustering algorithm
Smart contract invocation protocol (SCIP): A protocol for the uniform integration of heterogeneous blockchain smart contracts
Monetizing Online Content: Digital Paywall Design and Configuration
Adaptive systems for internet-delivered psychological treatments
STFT cluster analysis for DC pulsed load monitoring and fault detection on naval shipboard power systems
A decade of NeuroIS research: progress, challenges, and future directions
Examining the channel choice of experience-oriented customers in Omni-Channel retailing
On the ability of virtual agents to decrease cognitive load: an experimental study
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises
A dynamic deep-learning-based virtual edge node placement scheme for edge cloud systems in mobile environment
Dbkwik: extracting and integrating knowledge from thousands of wikis
The determinants of digital payment systems’ acceptance under cultural orientation differences: The case of uncertainty avoidance
Energy systems for climate change mitigation: A systematic review
Helpfulness prediction for online reviews with explicit content-rating interaction
Do advanced information technologies produce equitable government responses in coproduction: an examination of 311 systems in 15 US cities
The future (s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents
A brief history of intelligent decision support systems
Trainable communication systems: Concepts and prototype
A survey of state-of-the-art approaches for emotion recognition in text
Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience
Autonomous litter surveying and human activity monitoring for governance intelligence in coastal eco-cyber-physical systems
Students’ perceptions on learning management systems of Arabic learning through blended learning model
Information technology–based tracing strategy in response to COVID-19 in South Korea—privacy controversies
On privacy of dynamical systems: An optimal probabilistic mapping approach
Analysis of Malware Impact on Network Traffic using Behavior-based Detection Technique
Game-based learning and gamification to improve skills in early years education
Developing Design Principles for Digital Platforms: An Agent-Based Modeling Approach
Processes, benefits, and challenges for adoption of blockchain technologies in food supply chains: a thematic analysis
Neural Fuzzy Based Intelligent Systems and
How agile software development methods reduce work exhaustion: Insights on role perceptions and organizational skills
Establishment of critical success factors for implementation of product lifecycle management systems
The ethical, legal and social implications of using artificial intelligence systems in breast cancer care
The ethical balance of using smart information systems for promoting the United Nations’ sustainable development goals. Sustainability 12: 4826
Quantum Information
Assessing the effectiveness of rural credit policy on the adoption of integrated crop-livestock systems in Brazil
Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and …
Problem-based learning and process modeling in teaching information systems
Semantics for Cyber-Physical Systems: A cross-domain perspective
Measuring User Perspectives on Website Conference Using System Usability Scale
A comprehensive review on indoor air quality monitoring systems for enhanced public health
Business process monitoring on blockchains: Potentials and challenges
A systematic literature review of sparsity issues in recommender systems
Special Issue Editorial–Accumulation and Evolution of Design Knowledge in Design Science Research: A Journey Through Time and Space
Ethics in telehealth: Comparison between guidelines and practice-based experience-the case for learning health systems
Machine learning in business process monitoring: A comparison of deep learning and classical approaches used for outcome prediction
PADS Arsenal: a database of prokaryotic defense systems related genes
A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection
Feedback driven improvement of data preparation pipelines
IoT ecosystem: A survey on devices, gateways, operating systems, middleware and communication
Digital transformation and the new logics of business process management
Detecting fraudulent accounts on blockchain: A supervised approach
Quarry: a user-centered big data integration platform
A theoretical framework for the evaluation of massive digital participation systems in urban planning
Gamifying knowledge sharing in humanitarian organisations: a design science journey
Massive access for future wireless communication systems
A systematic review of Community Engagement (CE) in Disaster Early Warning Systems (EWSs)
Anomaly detection in cyber-physical systems using machine learning
RFR-DLVT: a hybrid method for real-time face recognition using deep learning and visual tracking
Characterizing the propagation of situational information in social media during covid-19 epidemic: A case study on weibo
Moving beyond the direct impact of using CRM systems on frontline employees’ service performance: The mediating role of adaptive behaviour
A critical interpretive synthesis of the roles of midwives in health systems
Smart monitoring and controlling of government policies using social media and cloud computing
Advances in smart antenna systems for wireless communication
CAD for Control Systems
Diagnosis support systems for rare diseases: a scoping review
Agents and multi-agent systems as actor-networks
Quaternion Markov Splicing Detection for Color Images Based on Quaternion Discrete Cosine Transform
The effect of perceived similarity in dominance on customer self-disclosure to chatbots in conversational commerce
Developing web-based support systems for predicting poor-performing students using educational data mining techniques
A fuzzy performance evaluation model for government websites based on language property and balanced score card
An affective response model for understanding the acceptance of mobile payment systems
The impact of control styles and control modes on individual-level outcomes: a first test of the integrated IS project control theory
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Joint transmit and reflective beamforming design for IRS-assisted multiuser MISO SWIPT systems
Drought risk to agricultural systems in Zimbabwe: A spatial analysis of hazard, exposure, and vulnerability
Dynamical systems and neural networks
A personal data store approach for recommender systems: enhancing privacy without sacrificing accuracy
A participatory approach based on stochastic optimization for the spatial allocation of Sustainable Urban Drainage Systems for rainwater harvesting.
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems
The SOTA approach to engineering collective adaptive systems
Assessing risks of biases in cognitive decision support systems
An enhanced design of sparse autoencoder for latent features extraction based on trigonometric simplexes for network intrusion detection systems
A survey on methods for the safety assurance of machine learning based systems
Cloud-based in-memory columnar database architecture for continuous audit analytics
(Re) considering the concept of literature review reproducibility
Practice Makes Perfect: Lesson Learned from Five Years of Trial and Error Building Context-Aware Systems
Safety assurance mechanisms of collaborative robotic systems in manufacturing
Geographical landslide early warning systems
What Does PISA Tell Us About Performance of Education Systems?
On Using Physical Based Intrusion Detection in SCADA Systems
Digital innovation dynamics influence on organisational adoption: the case of cloud computing services
Bitcoin investment: a mixed methods study of investment motivations
Understanding the role of ICT and study circles in enabling economic opportunities: Lessons learned from an educational project in Kenya
Value cocreation for service innovation: Examining the relationships between service innovativeness, customer participation, and mobile app performance
An alumni assessment of MIS related job skill importance and skill gaps
Leveraging semantic and lexical matching to improve the recall of document retrieval systems: A hybrid approach
The Cyber Threats Analysis for Web Applications Security in Industry 4.0
Smart contracts for blockchain-based reputation systems: A systematic literature review
A survey of recent methods on deriving topics from Twitter: algorithm to evaluation
Modelling and predicting student’s academic performance using classification data mining techniques
The Role of National Health Information Systems in the Response to COVID-19
Epizootogical geo-information systems IOP Conf
Mapping and Geographic Information Systems (GIS)
Empowering MSMEs in the digital economy: role of accounting information systems
Regional Office for the Western Pacific. Developing Health Management Information Systems: A Practical Guide for Developing Countries. Manila: WHO …
Virtual Assistance in Any Context
Bayesian differential programming for robust systems identification under uncertainty
Distributed set-membership filtering for nonlinear systems subject to round-robin protocol and stochastic communication protocol over sensor networks
A literature review on question answering techniques, paradigms and systems
Architecture of the Security Access System for Information on the State of the Automatic Control Systems of Aircraft
Internal control systems and operating performance: Evidence from small and medium enterprises (SMEs) in Ondo state
Contact-tracing apps and alienation in the age of COVID-19
Quantum information processing with space-division multiplexing optical fibres
Evaluation of Gamification in E-Learning Systems for Elementary School Students
On the use of hierarchical fuzzy inference systems (HFIS) in expert-based landslide susceptibility mapping: the central part of the Rif Mountains (Morocco)
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook
Blackboard systems for cognitive audition
Double-spending analysis of bitcoin
Performance degradation prediction of mechanical equipment based on optimized multi-kernel relevant vector machine and fuzzy information granulation
Do drones have a realistic place in a pandemic fight for delivering medical supplies in healthcare systems problems
Curiosity from the perspective of systems neuroscience
Vision statement: Interactive materials—Drivers of future robotic systems
Corecube: Core decomposition in multilayer graphs
Homomorphic encryption of supervisory control systems using automata
Indoor air quality monitoring systems for enhanced living environments: A review toward sustainable smart cities
Surprise: A python library for recommender systems
Consensus of multi-agent systems via fully distributed event-triggered control
Information-theoretic aspects of neural networks
How do interruptions affect user contributions on social commerce?
Identifying at-risk students based on the phased prediction model
Zero-Forcing Oriented Power Minimization for Multi-Cell MISO-NOMA Systems: A Joint User Grouping, Beamforming, and Power Control Perspective
Associations between two athlete monitoring systems used to quantify external training loads in basketball players
Topic modeling: a comprehensive review
Geometrical bounds of the irreversibility in Markovian systems
Sediment information on natural and anthropogenic-induced change of connected water systems in Chagan Lake, North China
BD-VTE: a novel baseline data based verifiable trust evaluation scheme for smart network systems
Cooperative CC–CV Charging of Supercapacitors Using Multicharger Systems
ECG monitoring systems: Review, architecture, processes, and key challenges
Estimating network effects in two-sided markets
Auditing news curation systems: A case study examining algorithmic and editorial logic in apple news
Extended dissipative sliding mode control for nonlinear networked control systems via event-triggered mechanism with random uncertain measurement
Enhancing transport properties in interconnected systems without altering their structure
Semi-automatic Eye Movement-Controlled Wheelchair Using Low-Cost Embedded System
Novel efficient RNN and LSTM-like architectures: Recurrent and gated broad learning systems and their applications for text classification
A survey of neural networks usage for intrusion detection systems
The development of stationary battery storage systems in Germany–A market review
Deep reinforcement learning for intelligent transportation systems: A survey
Code analysis for intelligent cyber systems: A data-driven approach
Smart management energy systems in industry 4.0
Trustworthiness in industrial IoT systems based on artificial intelligence
A grant-free random access scheme for M2M communication in massive MIMO systems
Responding to COVID-19: the UW medicine information technology services experience
Kypo4industry: A testbed for teaching cybersecurity of industrial control systems
Urban systems and the role of big data
Adjusting to epidemic-induced telework: empirical insights from teleworkers in France
GAN-driven personalized spatial-temporal private data sharing in cyber-physical social systems
A novel framework for backstepping-based control of discrete-time strict-feedback nonlinear systems with multiplicative noises
Blocksim: An extensible simulation tool for blockchain systems
Modeling and verification method for an early evaluation of Systems of Systems interactions
Path prediction in IoT systems through Markov Chain algorithm
6G wireless communication systems: Applications, requirements, technologies, challenges, and research directions
Multiple writer retrieval systems based on language independent dissimilarity learning
District energy systems: Challenges and new tools for planning and evaluation
Framework for managing the COVID-19 infodemic: methods and results of an online, crowdsourced WHO technical consultation
From panopticon to heautopticon: A new form of surveillance introduced by quantified‐self practices
Assessing Novelty and Systems Thinking in Conceptual Models of Technological Systems
A many-objective optimization WSN energy balance model
Blockchain-based identity management systems: A review
Performance Evaluation of Snort and Suricata Intrusion Detection Systems on Ubuntu Server
Author’s approach to the topological modeling of parallel computing systems
A comparative analysis of tax systems in Russia and Germany
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
Coordination and management of cloud, fog and edge resources in SDN-VANETs using fuzzy logic: a comparison study for two fuzzy-based systems
Fuzzy test model for performance evaluation matrix of service operating systems
Deep context modeling for multi-turn response selection in dialogue systems
An expert system gap analysis and empirical triangulation of individual differences, interventions, and information technology applications in alertness of railroad …
Application of intelligent multi agent based systems for E-healthcare security
Hidden fuzzy information: Requirement specification and measurement of project provider performance using the best worst method
Photoferroelectric Thin Films for Flexible Systems by a Three‐in‐One Solution‐Based Approach
A cloud-edge based data security architecture for sharing and analysing cyber threat information
Adaptive Observer-Based Output Regulation of Multiagent Systems With Communication Constraints
A fault diagnosis method for power transmission networks based on spiking neural P systems with self-updating rules considering biological apoptosis …
Understanding massively multiplayer online role‐playing game addiction: A hedonic management perspective
Interoperability and integration testing methods for IoT systems: A systematic mapping study
Proxy tasks and subjective measures can be misleading in evaluating explainable ai systems
Emptransfo: A multi-head transformer architecture for creating empathetic dialog systems
The case of performance variability on dragonfly-based systems
IT reliability and its influence on the results of controlling: comparative analysis of organizations functioning in Poland and Switzerland
Worker stress in the age of mobile technology: The combined effects of perceived interruption overload and worker control
Fair Outlier Detection
Evaluation framework for smart disaster response systems in uncertainty environment
Distributed bipartite tracking consensus of nonlinear multi-agent systems with quantized communication
A decentralized artificial immune system for solution selection in cyber–physical systems
I am Me: Brain systems integrate and segregate to establish a multidimensional sense of self
Impacts of COVID-19 on agricultural and food systems worldwide and on progress to the sustainable development goals
Resource-efficient neural networks for embedded systems
COVID-19: challenges to GIS with big data
Transparency in complex computational systems
Practical synchronization in networks of nonlinear heterogeneous agents with application to power systems
A framework for sustainable contact tracing and exposure investigation for large health systems
Cyber-physical systems research and education in 2030: Scenarios and strategies
Web-based digital twin modeling and remote control of cyber-physical production systems
Efficiency creep and shadow innovation: enacting ambidextrous IT Governance in the public sector
Performance Based Planning of complex urban social-ecological systems: The quest for sustainability through the promotion of resilience
Anomaly detection in smart homes using bayesian networks
Improving recommender systems using co-appearing and semantically correlated user interests
Security policies and implementation issues
Identification of instantaneous anomalies in general aviation operations using energy metrics
Reinforcement learning in sustainable energy and electric systems: A survey
Cultural influence on e-government development
Thermodynamic resources in continuous-variable quantum systems
Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances
Quantum vs. classical information: operator negativity as a probe of scrambling
Dynamical and thermodynamical approaches to open quantum systems
Brain-inspired systems: A transdisciplinary exploration on cognitive cybernetics, humanity, and systems science toward autonomous artificial intelligence
Using semantic markup to boost context awareness for assistive systems
Authoritarianism, outbreaks, and information politics
Towards dynamic dependable systems through evidence-based continuous certification
Technologies and systems to improve mobility of visually impaired people: a state of the art
Clinical managers’ identity at the crossroad of multiple institutional logics in it innovation: The case study of a health care organization in England
Multi-agent direct current systems using renewable energy sources and hydrogen fuel cells
Interpretable confidence measures for decision support systems
Nonstationary control for TS fuzzy Markovian switching systems with variable quantization density
Mitigating the intrusive effects of smart home assistants by using anthropomorphic design features: A multimethod investigation
AoI-optimal joint sampling and updating for wireless powered communication systems
Machine learning based decision making for time varying systems: parameter estimation and performance optimization
A case study of agile software development for safety-Critical systems projects
The phishing funnel model: A design artifact to predict user susceptibility to phishing websites
Online display advertising markets: A literature review and future directions
Future prospects of information warfare and particularly psychological operations
Attacking machine learning systems
What is the relationship among positive emotions, sense of presence, and ease of interaction in virtual reality systems? An on-site evaluation of a commercial virtual …
Quantum computer systems for scientific discovery
Lizards in the Street! Introducing Cybersecurity Awareness in a Digital Literacy Context.
From microbial communities to distributed computing systems
Autonomous systems in anesthesia: Where do we stand in 2020? A narrative review
Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic
Editor’s comments: The COVID-19 pandemic: Building resilience with IS research
Scenario-based development of intelligent transportation systems for road freight transport in Germany
Simulation in the design and operation of manufacturing systems: state of the art and new trends
Understanding adversarial attacks on deep learning based medical image analysis systems
Management of distributed energy systems on the basis of optimization methods and expert approaches
Breaking into the curriculum: The impact of information technology on schooling
Hybrid quantum systems with circuit quantum electrodynamics
The effects of high performance work systems in employees’ service-oriented OCB
Entanglement in indistinguishable particle systems
Integrated deep learning method for workload and resource prediction in cloud systems
Training or Synergizing? Complex Systems Principles Change the Understanding of Sport Processes
Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market
Effect of ground surface interpolation methods on the accuracy of forest attribute modelling using unmanned aerial systems-based digital aerial photogrammetry
The food systems in the era of the coronavirus (COVID-19) pandemic crisis
A qualitative content analysis of nurses’ comfort and employment of workarounds with electronic documentation systems in home care practice
From lurkers to workers: predicting voluntary contribution and community welfare
Formation-containment control of multi-robot systems under a stochastic sampling mechanism
Orbital angular momentum holography for high-security encryption
Using requirement-functional-logical-physical models to support early assembly process planning for complex aircraft systems integration
A flood risk assessment framework for interdependent infrastructure systems in coastal environments
Deepmaker: A multi-objective optimization framework for deep neural networks in embedded systems
A Framework for Risk Assessment in Collaborative Networks to Promote Sustainable Systems in Innovation Ecosystems
A survey on adversarial recommender systems: from attack/defense strategies to generative adversarial networks
Logistics Optimization of Agricultural Products Supply to the European Union Based on Modeling by Petri Nets
Perceived control and perceived risk in self-service technology recovery
Multisensorial generative and descriptive self-awareness models for autonomous systems
Distributed fusion filter for nonlinear multi-sensor systems with correlated noises
Improving the security of internet of things using cryptographic algorithms: A case of smart irrigation systems
Self-optimizing machining systems
EARL—Embodied agent-based robot control systems modelling language
MAMBA: A multi-armed bandit framework for beam tracking in millimeter-wave systems
Digital transformation of business ecosystems: Evidence from the Korean pop industry
Health care service delivery based on the Internet of things: A systematic and comprehensive study
A Genetic algorithm for multi-objective reconfiguration of balanced and unbalanced distribution systems in fuzzy framework
Selection of intermediate routes for secure data communication systems using graph theory application and grey wolf optimisation algorithm in MANETs
New closed-loop insulin systems
Realization of AI-enhanced industrial automation systems using intelligent Digital Twins
Shadow systems in assessment: how supervisors make progress decisions in practice
TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19
Data driven approach to risk management and decision support for dynamic positioning systems
Enterprise systems in transition economies: research landscape and framework for socioeconomic development
Tensors and compositionality in neural systems
Towards byzantine-resilient learning in decentralized systems
Compositional systems: overview and applications
Electrical Systems and Mechatronics
Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
Object detection with low capacity GPU systems using improved faster R-CNN
Teaching Software Engineering for Al-Enabled Systems
Introduction to the Theory of Radiopolarimetric Navigation Systems
Spatial disparities in coronavirus incidence and mortality in the United States: an ecological analysis as of May 2020
The neural and computational systems of social learning
Sample complexity of kalman filtering for unknown systems
Modeling and assessing cyber resilience of smart grid using Bayesian network-based approach: a system of systems problem
Systems of neutrosophic linear equations
Performance-Driven Analysis for an Adaptive Car-Navigation Service on HPC Systems
Early warning systems in biosecurity; translating risk into action in predictive systems for invasive alien species
Internet of things in sustainable energy systems
A polynomial-membership-function approach for stability analysis of fuzzy systems
Designing for ambient UX: design framework for managing user experience within cyber-physical systems
NNV: The neural network verification tool for deep neural networks and learning-enabled cyber-physical systems
Big Spatiotemporal Data Analytics: A research and innovation frontier
Navigating the gender structure in information technology: How does this affect the experiences and behaviours of women?
Water electrolysers with closed and open electrochemical systems
A Generic Network Compression Framework for Sequential Recommender Systems
Indoor positioning and wayfinding systems: a survey
Improve three-dimensional point localization accuracy in stereo vision systems using a novel camera calibration method
Mapping with unmanned aerial vehicles systems: A Case Study of Nevsehir Haci Bektas Veli University Campus
An overview of perception and decision-making in autonomous systems in the era of learning
Work design in future industrial production: Transforming towards cyber-physical systems
Security in Telehealth Systems From a Software Engineering Viewpoint: A Systematic Mapping Study
Applying process mining and semantic reasoning for process model customisation in healthcare
The mediating influence of smartwatch identity on deep use and innovative individual performance
An infrastructure for embedded systems using task scheduling
Geographic information research: Bridging the Atlantic
Method towards discovering potential opportunity information during cross-organisational business processes using role identification analysis within complex social …
An optimization approach for deployment of intelligent transportation systems wrong-way driving countermeasures
Extensions of prioritized weighted aggregation operators for decision-making under complex q-rung orthopair fuzzy information
Automated guided vehicle systems, state-of-the-art control algorithms and techniques
Developing theory through integrating human and machine pattern recognition
Multi-dimensional well-being associated with economic dependence on ecosystem services in deltaic social-ecological systems of Bangladesh
Architecture and Security of SCADA Systems: A Review
Black-box control for linear dynamical systems
Biologically Inspired Visual System Architecture for Object Recognition in Autonomous Systems
Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model
Security modelling and formal verification of survivability properties: Application to cyber–physical systems
Influence function based data poisoning attacks to top-n recommender systems
Memory-based continuous event-triggered control for networked TS fuzzy systems against cyber-attacks
Rational Mutual Interactions in Ternary Systems Enable High‐Performance Organic Solar Cells
Augmenting the algorithm: Emerging human-in-the-loop work configurations
Information radiation in BCFT models of black holes
Learning to localize: A 3D CNN approach to user positioning in massive MIMO-OFDM systems
Anesthetic management using multiple closed-loop systems and delayed neurocognitive recovery: a randomized controlled trial
Many Exciplex Systems Exhibit Organic Long‐Persistent Luminescence
Identification and categorization of factors affecting duration of post-disaster reconstruction of interdependent transportation systems
Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance
Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing
HRM systems and employee affective commitment: the role of employee gender
Resilience for smart water systems
Architectural Models Enabled Dynamic Optimization for System-of-Systems Evolution
An effective method of systems requirement optimization based on genetic algorithms
Monitoring of farm-level antimicrobial use to guide stewardship: overview of existing systems and analysis of key components and processes
Using a ‘rich picture’to facilitate systems thinking in research coproduction
Deep reinforcement learning for the real time control of stormwater systems
Systems-based strategies to consider treatment costs in clinical practice
Vibrational mono-/bi-resonance and wave propagation in FitzHugh–Nagumo neural systems under electromagnetic induction
Digital twins in smart farming
Improved depth resolution and depth-of-field in temporal integral imaging systems through non-uniform and curved time-lens array
A blockchain use case in food distribution: Do you know where your food has been?
Determinants of cloud ERP adoption in Jordan: an exploratory study
The progress of multi-omics technologies: determining function in lactic acid bacteria using a systems level approach
Towards high performance living manufacturing systems-A new convergence between biology and engineering
Enterprise architecture implementation as interpersonal connection: Building support and commitment
Political communication on social media: A tale of hyperactive users and bias in recommender systems
PEtab—Interoperable specification of parameter estimation problems in systems biology
Architecting business process maps
An elliptic curve cryptography based enhanced anonymous authentication protocol for wearable health monitoring systems
Highly-scalable traffic management of autonomous industrial transportation systems
Healthcare informatics and analytics in big data
Real-time incident prediction for online service systems
IoT-based smart irrigation systems: An overview on the recent trends on sensors and IoT systems for irrigation in precision agriculture
Fault-tolerant GNSS/SINS/DVL/CNS integrated navigation and positioning mechanism based on adaptive information sharing factors
Criticality evaluation to support maintenance management of manufacturing systems
Metamodelling in the information field
A Study of Accelerometer and Gyroscope Measurements in Physical Life-Log Activities Detection Systems
Coronavirus infections reported by ProMED, february 2000–january 2020
Digital healthcare: The only solution for better healthcare during COVID-19 pandemic?
Putting Teacher Evaluation Systems on the Map: An Overview of State’s Teacher Evaluation Systems Post-Every Student Succeeds Act.
The role of surrogate models in the development of digital twins of dynamic systems
Investigating potential factors associated with gender discrimination in collaborative recommender systems
New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller
Detecting semantic bugs in autopilot software by classifying anomalous variables
Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks
Blockchain and machine learning for communications and networking systems
Advancing remote healthcare using humanoid and affective systems
Memory-event-trigger-based secure control of cloud-aided active suspension systems against deception attacks
Pollution potential and causative hydrogeochemical processes in unconfined aquifer systems in a typical urban setting: emphasis on recharge and discharge …
Data impact analysis in business processes
Coherence of accounting systems: transcendence of content and immunity of purpose
Sensor technologies for fall detection systems: A review
The combination of e-bike-sharing and demand-responsive transport systems in rural areas: A case study of Velenje
Convexified contextual optimization for on-the-fly control of smooth systems
Low-complexity channel estimation for circular and noncircular signals in virtual MIMO vehicle communication systems
Bipartite consensus for networked robotic systems with quantized-data interactions
Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
L₁ control of positive semi-Markov jump systems with state delay
Brief survey on attack detection methods for cyber-physical systems
Information disclosure structure in supply chains with rental service platforms in the blockchain technology era
Extracting maritime traffic networks from AIS data using evolutionary algorithm
A time and energy saving-based frame adjustment strategy (TES-FAS) tag identification algorithm for UHF RFID systems
Automated systems for perioperative goal-directed hemodynamic therapy
Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems
The impact of COVID‐19 on food systems, safety, and security—a symposium report
Policy-driven neural response generation for knowledge-grounded dialogue systems
Event-based fault-tolerant control for networked control systems applied to aircraft engine system
Cyberphysical systems in the smart city: challenges and future trends for strategic research
High-power portable terahertz laser systems
Flourishing Systems Re-envisioning Infrastructure as a Platform for Human Flourishing
Event-triggered adaptive fuzzy control for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis
Self-testing of quantum systems: a review
Synthesizing Systems Biology Knowledge from Omics Using Genome‐Scale Models
Effective construction of classifiers with the k-NN method supported by a concept ontology
Towards a framework for capturing interpretability of hierarchical fuzzy systems-a participatory design approach
Trade-offs in online advertising: Advertising effectiveness and annoyance dynamics across the purchase funnel
Factors propelling the adoption of internet banking: the role of e-customer service, website design, brand image and customer satisfaction
MAPCAST: an Adaptive Control Approach using Predictive Analytics for Energy Balance in Micro-Grid Systems
Scalable reinforcement learning of localized policies for multi-agent networked systems
Spatial sparsity based secure transmission strategy for massive MIMO systems against simultaneous jamming and eavesdropping
Clustering-aided multi-view classification: A case study on Android malware detection
Analyzing situational awareness through public opinion to predict adoption of social distancing amid pandemic COVID‐19
Amino acids in freshwater food webs: Assessing their variability among taxa, trophic levels, and systems
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Integration of building service systems in architectural design.
Detailed Assessment of Embodied Carbon of HVAC Systems for a New Office Building Based on BIM
A risk perception analysis on the use of electronic payment systems by young adult
Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic
Improving the performance of process discovery algorithms by instance selection
3D digital impression systems compared with traditional techniques in dentistry: A recent data systematic review
Information technology law
Combating COVID-19—The role of robotics in managing public health and infectious diseases
A survey on filtering issues for two-dimensional systems: Advances and challenges
Performance evaluation for manufacturing systems under control-limit maintenance policy
6G and beyond: The future of wireless communications systems
Models for the development of multi-level gas supply systems
Security control of cyber-physical switched systems under round-robin protocol: input-to-state stability in probability
A compilation of UAV applications for precision agriculture
Hybrid Reciprocal Recommender Systems: Integrating Item-to-User Principles in Reciprocal Recommendation
The need to reconcile concepts that characterize systems facing threats
Torque and rotational speed sensor based on resistance and capacitive grating for rotational shaft of mechanical systems
The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases
Big data and business analytics: A research agenda for realizing business value
Extended dissipativity asynchronous static output feedback control of Markov jump systems
Markov blankets, information geometry and stochastic thermodynamics
Football-specific validity of TRACAB’s optical video tracking systems
An approach based on mutually informed neural networks to optimize the generalization capabilities of decision support systems developed for heart failure prediction
Performance limits for fingerprinting-based indoor optical communication positioning systems exploiting multipath reflections
Akhmedjanov Karimjon Normative and methodological regulation of internal audit in the Republic of Uzbekistan
Disturbance-observer based consensus of linear multi-agent systems with exogenous disturbance under intermittent communication
LIMITS: Lightweight machine learning for IoT systems with resource limitations
Network device workload prediction: A data mining challenge at knowledge pit
Performance optimization of IoT based biological systems using deep learning
Spatial-temporal data-driven service recommendation with privacy-preservation
Stochastic Transceiver Optimization in Multi-Tags Symbiotic Radio Systems
Industrial cyber-physical systems-based cloud IoT edge for federated heterogeneous distillation
Industry 4.0 and the human factor–A systems framework and analysis methodology for successful development
Intelligent traffic control for autonomous vehicle systems based on machine learning
Dynamic pilot allocation scheme for joint user grouping and alliance game in massive MIMO systems
Comparing rapid scoring systems in mortality prediction of critically ill patients with novel coronavirus disease
Innovative IT use and innovating with IT: A study of the motivational antecedents of two different types of innovative behaviors
Joint multi-innovation recursive extended least squares parameter and state estimation for a class of state-space systems
Achievable rate optimization for MIMO systems with reconfigurable intelligent surfaces
Principles and practice of management
Probing effective wetting in subsurface systems
Structural Systems Theory: an overview of the last 15 years
Multidisciplinary and multifidelity framework for evaluating system-of-systems capabilities of unmanned aircraft
CSI feedback overhead reduction for 5g massive mimo systems
Channel estimation for extremely large-scale massive MIMO systems
Learning systems: Managing uncertainty in the new normal of COVID-19
Smart Collaborative Balancing for Dependable Network Components in Cyber-Physical Systems
State Machine Fault Protection Architecture for Aerospace Vehicle Guidance, Navigation, and Control
Optimizing ontology alignment in vector space
Intelligent and connected cyber-physical systems: A perspective from connected autonomous vehicles
Do‐it‐yourself closed‐loop systems for people living with type 1 diabetes
Development of a novel tool to support engagement with continuous glucose monitoring systems and optimize outcomes
BLCS: Brain-like based distributed control security in cyber physical systems
Speckle denoising techniques in imaging systems
Secure transmission designs for NOMA systems against internal and external eavesdropping
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
Learning paradigms for communication and computing technologies in IoT systems
Thermodynamic uncertainty relation for general open quantum systems
Big Data analytics and Computational Intelligence for Cyber–Physical Systems: Recent trends and state of the art applications
Gait-based identification for elderly users in wearable healthcare systems
Coronavirus Disease 2019 (COVID-19): Interim Guidance for Emergency Medical Services (EMS) Systems and 911 Public Safety Answering Points (PSAPs) for …
Cyber-Physical Systems and Reliability Issues
Prediction of users’ professional profile in moocs only by utilising learners’ written texts
A roadmap to integrate astrocytes into Systems Neuroscience
COVID-19 and dengue, co-epidemics in Ecuador and other countries in Latin America: pushing strained health care systems over the edge
Actual issues of electronic commerce development in the republic of Uzbekistan
Thoughts on Using Systems Thinking to Develop Chemistry Students’ Professional Skills
Omics in systems biology: Current progress and future outlook
Robust beamforming design for intelligent reflecting surface aided MISO communication systems
Automated License Plate Recognition using Existing University Infrastructure and Different Camera Angles
Public budgeting systems
Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems
Volt-VAR-Pressure Optimization of Integrated Energy Systems with Hydrogen Injection
Tracking urban geo-topics based on dynamic topic model
Detection of probe flow anomalies using information entropy and random forest method
Exploring the rhetoric of international professional communication: An agenda for teachers and researchers
A synergic framework for cyber-physical production systems in the context of Industry 4.0 and beyond
Electronic medical record systems: Decision support examination framework for individual, security and privacy concerns using multi-perspective analysis
Self-assembled extended π-systems for sensing and security applications
River toxicity assessment using molecular biosensors: Heavy metal contamination in the Turag-Balu-Buriganga river systems, Dhaka, Bangladesh
A novel adaptive fuzzy control for output constrained stochastic non-strict feedback nonlinear systems
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
Fault detection for uncertain LPV systems using probabilistic set-membership parity relation
Information scrambling and loschmidt echo
Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers (revised manuscript of TFS-2019-1049)
Students’ use of learning management systems and desired e-learning experiences: are they ready for next generation digital learning environments?
Theoretical and experimental possibilities to set up some sensors systems involved in active safety process
Hyperparameter optimization in CNN for learning-centered emotion recognition for intelligent tutoring systems
Diet: Lightweight language understanding for dialogue systems
Clarify the physical process for fractional dynamical systems
Enterprise system lifecycle-wide innovation
Coverage, probability of SNR gain, and DOR analysis of RIS-aided communication systems
Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model
Neurobiology of systems memory consolidation
Use of apps in the COVID-19 response and the loss of privacy protection
Using the Systems Engineering Initiative for Patient Safety (SEIPS) model to describe critical care nursing during the SARS‐CoV‐2 pandemic (2020)
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach
Quantifying the impacts of climate change and extreme climate events on energy systems
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
A prospect theory-based QUALIFLEX for uncertain linguistic Z-number multi-criteria decision-making with unknown weight information
IBM Q Experience as a versatile experimental testbed for simulating open quantum systems
From smart farming towards agriculture 5.0: A review on crop data management
Optimal control in partially observable complex social systems
Determinant Factors’ Impact on Managerial Performance through Management Accounting Systems in Indonesia
Q (λ) learning-based dynamic route guidance algorithm for overhead hoist transport systems in semiconductor fabs
On course, but not there yet: Enterprise architecture conformance and benefits in systems development
Robust machine learning systems: Challenges, current trends, perspectives, and the road ahead
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Securing internet of medical things systems: limitations, issues and recommendations
Bridging entanglement dynamics and chaos in semiclassical systems
A survey of IoT applications in blockchain systems: Architecture, consensus, and traffic modeling
Compositional cyber-physical systems modeling
Photocatalytic and photoelectrochemical systems: similarities and differences
Modelling net-zero emissions energy systems requires a change in approach
Augmenting traffic signal control systems for urban road networks with connected vehicles

Research Topics Computer Science

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Information Systems PhD Specialization

General information.

The Department of Information Systems & Operations Management (ISOM) supports two areas for doctoral study: Information Systems (IS) and Operations Management (OM). Both areas are designed for persons seeking academic and research careers.

The area of Information Systems deals with the management of development, use, and impact of information systems and technologies in organizations. It is an interdisciplinary area, combining the study of information technologies and systems with other areas such as economics, operations research, decision theory, and psychology. Information systems have impact on all aspects of a modern organization — from providing solution to current problems to new business models and opportunities. With the rapid growth and globalization of businesses, information systems have taken on a more important role.

Department web site Information Systems Faculty

Admission Requirements

Applicants must have completed an undergraduate degree at an accredited university and should have a reasonable training in mathematics and economics. An admission committee of faculty members in the Information Systems & Operations Management Department reviews all completed applications. While the committee considers all relevant factors in its recommendations, important factors include past academic performance, GMAT scores (which are usually above 650 for successful applicants), and previous work experience. The GRE exam can be substituted for the GMAT but the GMAT is strongly preferred. In some cases we may request a personal interview.

Recommended Preparation Prior to Entry

It is assumed that students entering the information systems area are knowledgeable in advanced calculus, linear algebra, basic statistics, and a high level programming language. Any student who is deficient in these areas should consider taking appropriate coursework prior to entering the program.

Information Systems Area Faculty Coordinator

Asst. Prof. Mingwen Yang, Information Systems Area Faculty Coordinator, would be glad to answer your questions. Contact her by email at [email protected] .

Student Advising

The Department’s Doctoral Review Committee will guide new students until they establish a Supervisory Committee. Students are required to establish a Supervisory Committee by the end of their first year. The Supervisory Committee assists the student in choosing appropriate courses, approves course of studies, and monitors the student’s progress.

Course Requirements for Information Systems Major

The following courses are required for the IS major area. The number of credits for each course is indicated in parentheses after the course number.

All IS students must enroll in the doctoral seminar (IS 599) until all coursework is completed and the IS area examination is successfully completed; after this milestone, we strongly encourage all students to continue participating in the doctoral seminar.

Additionally, the following are strongly recommended courses for IS majors.

Research Methods Minor Area Requirements All students majoring in Information Systems must select Research Methods as one of their minor areas. The Research Methods area is designed to ensure that all students are knowledgeable with research tools needed to conduct high-level research in Information Systems.

The requirements below are viewed as minimal preparation for conducting doctoral level research; we strongly recommend that students expand their research methods area beyond the courses listed below. Certain substitutions of courses, upon approval from the chair of the supervisory committee may be allowed.

Microeconomics

Econometrics

Other Minor Area Requirements In addition to Research Methods, IS students must select one additional minor area depending on the student’s interest. Possible minor areas include:

Computer Science
Economics or Business Economics
Mathematics
Operations Management

A Typical Course Schedule

Assuming adequate background preparation, students are expected to complete the following coursework in their first and second years. The normal schedule is as follows but course offerings and quarter offerings might change depending on faculty availability.

Second Year

Course Requirements for Information Systems Minor

Students who select Information Systems as a minor area must take all three courses in Group I and two courses from Group II.

Group I. MBA level courses:

If an MBA course in the above list is not offered, students may take a corresponding undergraduate course with permission.

Group II. Doctoral level courses:

Other Requirements

Written Area or Qualifying Examination After completing all coursework in his or her major area, each student will take a written area examination consisting of questions contributed by all appropriate area faculty and administered by the chair of the student’s Supervisory Committee. The exam is graded on a high pass, pass, low pass, or fail basis; if appropriate, the departmental faculty members in the Supervisory Committee may require additional work and/or classes as a condition for passing the exam. If the student fails the exam, he or she can take the exam one additional time after satisfying deficiencies.

Second Year Paper At the end of the second year, in order to demonstrate competency and ability to conduct research in IS, each student is required to write a paper. The work is to be supervised by the chair of the student’s Supervisory Committee and then graded by the departmental faculty members in the student’s Supervisory Committee on a high pass, pass, low pass, or fail basis. The departmental faculty members in the Supervisory Committee may require additional work as a condition for passing the paper.

General Examination After successfully completing the written area exam, each student takes a general (oral) examination. Members of the Supervisory Committee which includes a representative of the Graduate School and any other interested faculty and students, administer this examination. Typically, this exam involves a defense of the student’s dissertation proposal; however, the chair of the Supervisory Committee determines the precise format of the general exam.

Dissertation After successfully completing the general examination, the student is admitted to Candidacy and continues work on his/her dissertation research. A Reading Committee guides the student in working with the dissertation. It is also expected that the student will present his or her research to the Information Systems and Operations Management Department at the doctoral seminar.

Final Examination When the dissertation is completed, the Supervisory Committee administers a final defense of the dissertation.

Areas of Research

Students & Placements
[email protected]
(517) 355-7486

Ph.D. in Information Technology Management Research Topics

Current Ph.D. faculty research programs span a wide range of technology management topics. Examples include:

Analytics in organizations and social media
Organizational diffusion, adoption and use of information technologies
Role of routines and organizational work processes in IT-mediated transformations
The roles of trust in the adoption of new technology and sharing economy services
Organizational capabilities, structures and skills for leveraging IT value
Impacts of IT investments on customer relationship, supply chain and knowledge management
IT capabilities and the dynamics of competitive action

Publications

Our doctoral students work with faculty members on many intriguing topics. Here are some research projects involving faculty and either current Ph.D. students or graduates:

“Understanding User Participation in Crowdsourced Mobile Apps: A Geo-Spatial Analysis” ( Tae Hun Kim, graduated 2018 ) “Dynamics of Online Word of Mouth Spillover Effects” ( Yen-Yao Wang, graduated 2017 ) “The Effect of Mergers and Acquisitions on Firm Performance: Evidence from Digital Industries” ( Kangkang Qi, graduated 2016 ) “Community Engagement and Collective Evaluation in Crowdfunding” ( Eun Ju Jung, graduated 2015 ) “A Process Theory of Technology Trust Change” ( Peng Liu, graduated 2013 ) “Technology, Humanness and Trust: Rethinking Trust in Technology” ( John Tripp, graduated 2012 ) “The (N)Ever-Changing World: Stability and Change in Organizational Routines” ( Derek Hillison, graduated 2009 ) “How Peripheral Developers Contribute to Open-Source Software Development” ( Pankaj Setia, graduated 2008 ) “Team Documentation Influences Clinic Complexity and Patient Satisfaction” ( Inkyu Kim and Dr. Brian Pentland )

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Information Systems

Effective solutions for complex business problems..

Simon’s PhD in Information Systems focuses on the business aspects of Information Technology use and management, and the analytic and quantitative tools and techniques to address them. The research conducted by the students and faculty has significantly advanced the state of the art in research on information systems in general, with an emphasis on information systems economics and machine learning modeling.

Meet IFS Faculty

Prepare with Math Camp.

Program outline: information systems, the first year.

The first year provides students with a strong methodological foundation in order to prepare them for research in the advanced years of the program. Students are required to take courses offered by Simon Business School as well as the University of Rochester. First year students are required to pass Preliminary Requirements by demonstrating proficiency in specific courses. A research-oriented first-year paper is due August 31 of the start of the second year.

The Second Year

The second year deepens students' knowledge of Information Systems. Students work in conjunction with the faculty to write two papers on two individual research topics. These papers are due by May 31 of the second year. Students are also required to write a Qualifying Exam paper, due by November 30 of the third year. This paper is usually a more in-depth version of one of the two papers used for the second-year papers requirement.

The Third Year and Beyond

Students will take additional courses in the third year after passing the Qualifying Exam. Students also begin work on a dissertation. Research in the field of Information Systems focuses on problems of design, performance analysis, and optimization of information systems.

Required Courses.

The Course Catalog contains degree requirements and course descriptions. Please refer the Simon Registrar's website for the current Course Catalog.

Simon Registrar

Course Catalog

PhD Information Systems Courses

This course introduces important research methods/topics for IS researchers, covering analytical modeling, causal inference, and machine learning. For analytical modeling, we will discuss auction and mechanism design for information/ computation goods. For causal inference, we will establish the probabilistic foundation of commonly used methods such as DID, matching, IV, and regression discontinuity. For machine learning, we will introduce the statistical learning theory, SVM, EM, MCMC, variational inference, and deep learning.

This course introduces students to research areas in Computers and Information Systems (CIS) and Operations Management (OM). Multiple lectures will be dedicated to each topic, covering the necessary mathematical background, primary analysis techniques, and important, seminal, or recent papers within each area. The course aims to attain the following objectives: learn about what constitutes research in CIS and OM, develop critical thinking about academic papers, familiarize students with new research areas, provide opportunity to think about new research problems, and practice constructing and delivering academic talks.

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Management Information Systems

The Ph.D. program in Management Information Systems is NOW accepting applications for Fall 2012.

The MIS doctoral program will not accept applications in 2020.

Due to our large MIS PhD class enrollment in Fall 2019, we do not expect to be able to enroll students in Fall 2020.

“I am interested in information technology (IT) and its application in organizations. I have an interest in research, teaching about, and in helping to invent a future around, applications of IT.”

If that sounds like you, keep reading; this may be the first step towards an exciting and promising career!

Ph.D. versus MS

Deciding between getting a Ph.D. or an MS? (Note: a master's degree is not required in order to pursue a Ph.D.) Typical differences between working in academia with a Ph.D. versus working in industry with an MS:

Individuals with a Ph.D. create knowledge; individuals with an MS apply knowledge (e.g., created by those with a Ph.D.).
A Ph.D. enables an individual to choose and work in the areas and issues that pique his or her interest. An individual with an MS typically works on problems that are important to others (e.g., his or her supervisor).
Individuals with a Ph.D. get paid for learning new things; individuals with an MS typically pay to learn new things (e.g., by taking advanced classes).
Individuals with a Ph.D. have many more opportunities to teach undergraduate and/or graduate classes.

What is Management Information Systems?

MIS faculty teach and research about the application of information systems in organizations. This includes the study of social networks, cloud computing, IT consumerization, virtual reality, negotiation systems, collaboration technologies, office automation, electronic payments, strategic information systems, electronic commerce, collective intelligence, tele-medicine, electronic markets, social media, information requirements analysis, systems development methods, enterprise resource planning systems, systems implementation, adoption, and diffusion, mobile computing, and much more. The information technologies and systems we teach and research transform people’s lives, jobs and, for industry after industry, business models, products, supply chains, and distribution channels.

We are also interested in the implications of those technologies for people and society; personal privacy, infrastructure dependency, security, safeguarding of intellectual property, and IT-related stress all capture the interest of MIS faculty. So too do the political implementations of the internet, the evolution of the field, and IT in developing nations. And that’s just today! Ours is one of the most dynamic fields; the area your dissertation will focus on in several years may not have even been conceived of today.

In addition to furthering your knowledge about information systems, you will be given the opportunity to develop the research skills and mindset necessary to be a successful scholar. In our seminars, as well as those you will take in other disciplines, you will learn about research methods, data analysis approaches, and theories applicable to your research. You will also gain necessary teaching expertise and experience.

MIS Faculty Spotlight

Please follow the links below in order to get an idea of the depth and breadth of research being pursued by our MIS faculty.

*Faculty noted with an asterisk have been recognized as being in the top 3% of MIS researchers.

You are also most welcome to contact Randolph Cooper , the MIS Ph.D. coordinator. Before doing so please look over the materials on this web site. Many of your questions will be answered here.

Student Initial Placements

One hundred percent of our Ph.D. graduates who desired academic employment were placed in one of the following academic institutions.

Arizona State University Baylor College of Medicine Dankook University (South Korea) INCAE (Costa Rica) Iowa State University Kennesaw State University Louisiana State University Murray State University Ohio University Penn State University Southern University – New Orleans Texas Christian University Texas Southern University U. Tunku Abdul Rahman (Malaysia) University of Alaska – Anchorage

University of Central Missouri University of Colorado – Denver University of Georgia University of Houston University of Houston – Clear Lake University of Melbourne (Australia) University of Missouri – St. Louis University of Nevada – Reno University of North Florida University of Saint Thomas University of South Florida University of Southern Indiana University of Texas – San Antonio University of Tulsa University of Wisconsin–Milwaukee

Ph.D. Dissertation Topics

Rather than restrict our students’ research to specific topics in information systems, students have the freedom to explore topics in which they have strong interests. When these topics require expertise not available within our MIS faculty, we are happy to draw from other disciplines within the University of Houston as well as from other Universities in order to create appropriate dissertation committees. Below are some dissertation topics that have been explored by our past Ph.D. students.

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PhD in Management Information Systems

Research in Information Systems and Technological Progress

The UIC Business PhD program in Management Information Systems educates and trains future scholars to establish successful careers as productive researchers, scientists and scholars at leading universities and research institutions. Our program stresses technical, economic and organizational/management aspects of information systems.

A STEM Degree Program

The PhD in Management Information Systems is approved as a STEM (Science, Technology, Engineering and Mathematics) Designated Degree Program. Under the Optional Practical Training program, international students who graduate from the program are able to remain in the United States and receive training through work experience for up to 12 months, and can remain for an additional 24 months on an OPT STEM extension.

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Current PhD Students Learn more about the program and see whether you would be a good fit here at UIC by reading about our current students’ backgrounds and research interests.
Program Faculty Read about faculty areas of research and teaching focus.

Important Dates Heading link Copy link

The application deadline for this program is January 15.

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Admission is competitive and applicants are considered on an individual basis. The college considers applications for full time degree seeking status for the Fall term only. The deadline to submit the application, fee and required materials is January 15. Please see the admissions section of our catalog for application requirements

Requirements and Dissertation Heading link Copy link

Requirements.

Breadth Requirement

Two introductory courses in any two functional areas of business, for example:

Operations management (IDS 532)
Accounting (ACTG 500)
Economics (ECON 520,521)
Finance (FIN 500)
Marketing (MKTG 500)
Management (MGMT 541)

These courses will not count towards the 64 semester hours required for entrants with a master’s degree.

Technical Requirements

Data Structures and Operating Systems (IDS 401)
Business Systems Analysis & Design (IDS 405)
Business Database Design (IDS 410)

Each course may be waived based on equivalent prior coursework or appropriate work experience in the technical area. These courses will not count towards the 64 semester hours requirement for entrants with a master’s degree.

Basic Competency

Advanced database management (IDS 520)
Distributed processing and telecommunication systems (IDS 521)
Enterprise application infrastructure (IDS 517)

Each course may be waived based on equivalent prior coursework or appropriate work experience in the technical area.

Research Methods: 3-4 courses (12-16 semester hours) including statistical methods in research, behavioral research methods overview, quantitative methods in research and additional courses to be decided in consultation with the director of the PhD program.

MIS Specialization: Minimum of six courses (24 credit hours) including two IDS research seminars (IDS 529), three specialized courses in areas of individual interest, IS research topics (IDS 525), and an additional courses in consultation with the director of the PhD program.

Additional doctoral-level course work, including dissertation: at least 8 courses (32 semester hours minimum.

IDS 599: PhD Thesis Research or additional doctoral-level course work chosen with the consent of the PhD coordinator and in consultation with the dissertation adviser. A maximum of 32 semester hours of thesis research can count toward the degree.

Annual Evaluation The student will write a research paper each year beginning the first summer in the program and continuing until the preliminary evaluation. An assessment of the summer paper will be conducted at the beginning of the fall semester each year that the student is in the program, except the first year. The evaluation will be conducted by a three-member faculty committee, which will include the PhD director as the chairperson, the student’s mentor and an MIS faculty member who has taught the student during that year.

Preliminary Examination The preliminary examination is normally taken upon successful completion of the required course work. In exceptional cases, the examination may be taken earlier upon recommendation of the MIS director of doctoral studies and the student’s PhD adviser. The Graduate College requires that “the preliminary examination may not be given before one calendar year of residence nor later than one calendar year before defense of the dissertation.”

The preliminary examination consists of an oral examination on the dissertation proposal and related material. The examination may cover any issues relevant to the topic addressed in the proposal and PhD common core and basic knowledge in the field of specialization related to the proposal.

For a full list of degree requirements, click here for the UIC Catalog .

Dissertation

A dissertation, which makes an original contribution to knowledge in MIS, is required and must be defended. Dissertations may address theoretical or applied problems. In most cases, a minimum of 24 semester hours will be required to prepare a dissertation acceptable to the committee. Up to 32 semester hours of credit can be awarded for successful completion of a dissertation.

Explore the UIC Catalog

Placements heading link copy link, 2023 placements.

Tengteng Ma, University of South Florida
Moh Hosseinioun, Postdoc, Northwestern University

2022 Placements

Ramah Al Balawi, Baruch College at CUNY

2021 Placements

Keran Zhao, T. Bauer College of Business, University of Houston
Atiya Avery, Auburn University
Ecem Basak, Baruch College, City University of New York

2020 Placements

Pankhuri Malhotra, Michael F. Price College of Business, The University of Oklahoma
Cheng Chen, Lubar School of Business, University of Wisconsin-Milwaukee

2018 Placements

Pouya Rahmati, Deloitte, University of Georgia (Prior)
Minghong Xu, Practice at Carey Business School, Johns Hopkins
Atiya Avery, University of Alabama in Huntsville
Amer Aljarallah, King Saud University
Sridhar R. Papagari Sangareddy, Centers for Disease Control
Mohan Thirumalai, University of Alabama at Birmingham
Ivan Alfaro, Wellspring
Ferdi Eruysal, Texas A&M
Melike Findikogu, Technion – Israel Institute of Technology
Doug Lundquist, UIC
Mauricio Vasquez, University of Puerto Rico
Poornima Krishnan, Instructor, North Central College / Research Analyst, Sullivan, Cotter & Associates
Sanjeev Jha, University of New Hampshire
Ariel Lapaz, Departamento de Control de Gestion y Sistemas de Informacion, Chile
Chen Ye, Virginia State University
Christina Outlay, DePaul University
Darrin Thomas, Morningstar Inc.
Dong Back Sen, University of Groningen, Netherlands
Kirill Yurov, Northeastern Illinois University
Kurian Tharakkunel, Rowan University, NJ
Chei Sian Lee, Nanyang Technological University, Singapore
Kevin Desouza, University of Washington
Yifeng Zhang, University of Illinois at Springfield
John Warren, University of Texas at San Antonio
James Watson, CEO, Doculabs, Chicago
Kumar Mehta, University of Connecticut

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39 Best Information Systems Dissertation Topics Ideas
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Ph.D. in Business with an Information Systems and Technology Management
The ISTM department is ranked #24 world-wide in research productivity measured by the number of articles published in the top information systems journals such as Information Systems Research and MIS Quarterly in the past three years, 2020-2022. The research and expertise of the faculty of the Information Systems and Technology Management ...
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PhD in Information Systems
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Information Systems PhD Research Papers
Research areas. W. P. Carey faculty and PhD students present their research at leading national and international conferences, and publishing academic journals. Research topics include: In addition to information systems, our PhD students are often published by leading journals in other disciplines, including accounting, economics, finance ...
Ph.D. in Information Systems
Phone: (954) 262-2031 or Toll-Free: ( 800) 986-2247 ext. 22031. Email: [email protected]. Schedule an Appointment. Hours of Operation. Get your Ph.D. in Information Systems from a top-ranked university and prepare for a career in research, teaching, or industry. Our Ph.D. program in Information Systems is designed to give you the knowledge and ...
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The Information Systems and Technology Management (ISTM) program investigates behavioral, design, and economic issues related to the use and impact of information technology. Examples of focal research themes are analytics, behavioral security, consumer and firm behavior in the digital age, digital platform strategy, health care systems, human ...
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Master's vs. a Ph.D. in Information Systems. Within the U.S. academic system, a Master's Degree in Information Systems will lead you down the research path, to a point. Culminating in a master's thesis, a master's degree program typically takes 2 years to complete and is considered a shorter and less in-depth application of your coursework than a PhD.
Information Science: PhD < University of California, Berkeley
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The Bureau of Labor Statistics (BLS) projects jobs for computer and information technology occupations to grow by 12% from 2018-2028. A Ph.D. in information technology creates opportunities for high-paying jobs that require extensive research. Graduates can further the information technology field through research discoveries enhancing computer ...
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The PhD in Business Administration with a focus in Management Information Systems is a five-year full-time program. Consistently ranked among the best information systems PhD programs worldwide, the program is known for its cutting-edge research and support from actively publishing faculty. The program prepares future information systems ...
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Information Systems Research Topic ideas for MS, or Ph.D. Degree. I am sharing with you some of the research topics regarding Information Systems that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree. A survey on blockchain for information systems management and security. The perils and promises of big data ...
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IT Management Research Topics
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PhD Information Systems
Effective solutions for complex business problems.Simon's PhD in Information Systems focuses on the business aspects of Information Technology use and management, and the analytic and quantitative tools and techniques to address them. The research conducted by the students and faculty has significantly advanced the state of the art in research on information systems in general, with an ...
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PhD in Management Information Systems
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Related Courses

INFO 202 Information Organization and Retrieval 3 Units

INFO 203 Social Issues of Information 3 Units

INFO 205 Information Law and Policy 3 Units

INFO 206A Introduction to Programming and Computation 2 Units

INFO 206B Introduction to Data Structures and Analytics 2 Units

INFO 213 Introduction to User Experience Design 4 Units

INFO 214 User Experience Research 3 Units

INFO 215 Product Design Studio 3 Units

INFO 217A Human-Computer Interaction (HCI) Research 3 Units

INFO 218 Concepts of Information 3 Units

INFO 225 Leadership and Management 3 Units

INFO 233 Social Psychology and Information Technology 3 Units

INFO 234 Information Technology Economics, Strategy, and Policy 3 Units

INFO 239 Technology and Delegation 3 Units

INFO 241 Experiments and Causal Inference 3 Units

INFO 247 Information Visualization and Presentation 4 Units

INFO 251 Applied Machine Learning 4 Units

INFO 253A Front-End Web Architecture 3 Units

INFO 253B Back-End Web Architecture 3 Units

INFO 255 Privacy Engineering 3 Units

INFO 256 Applied Natural Language Processing 3 Units

INFO 258 Data Engineering 4 Units

INFO 259 Natural Language Processing 4 Units

INFO C262 Theory and Practice of Tangible User Interfaces 4 Units

INFO C265 Interface Aesthetics 3 Units

INFO 271B Quantitative Research Methods for Information Systems and Management 3 Units

INFO 272 Qualitative Research Methods for Information Systems and Management 3 Units

INFO 283 Information and Communications Technology for Development 3 Units

INFO 288 Big Data and Development 3 Units

INFO 289 Public Interest Cybersecurity: The Citizen Clinic Practicum 3 Units

INFO 290 Special Topics in Information 1 - 4 Units

INFO 290M Special Topics in Management 1 - 4 Units

INFO 290S Special Topics in Social Science and Policy 2 - 4 Units

INFO 290T Special Topics in Technology 2 - 4 Units

INFO 291 Special Topics in Information 1 - 4 Units

INFO 293 Information Management Practicum 0.5 Units