Information Systems Research

Top Research Topics at Information Systems Research?

Information Systems Research mostly deals with topics like Knowledge management, Information system, Information technology, Marketing and Microeconomics. Issues in Knowledge management were discussed, taking into consideration concepts from other disciplines like Empirical research, Task (project management) and Process (engineering). Most of the works presented in it deals with Information technology but it intersects with the subject of Industrial organization.

The journal focused on Marketing research but expanded to cover Advertising.

• Knowledge management (18.36%)
• Information system (13.70%)
• Information technology (13.06%)

What are the most cited papers published in the journal?

• Information Systems Success: The Quest for the Dependent Variable (7913 citations)
• Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (6606 citations)
• Understanding Information Technology Usage: A Test of Competing Models (6255 citations)

Research areas of the most cited articles at Information Systems Research:

The journal papers mainly tackle studies in Knowledge management, Information system, Information technology, Marketing and Empirical research. Issues in Knowledge management were discussed in the most cited publications, taking into consideration concepts from other disciplines like Information quality, Technology acceptance model, Work (electrical), Construct (philosophy) and Process (engineering). Issues in Information system were discussed in the most cited publications, taking into consideration concepts from other disciplines like Management science, Data science and Set (psychology).

What topics the last edition of the journal is best known for?

• Law
• The Internet
• Artificial intelligence

The previous edition focused in particular on these issues:

Information Systems Research tackles a plethora of topics, such as Robot, Artificial intelligence, Control theory, Human–robot interaction and Advertising. The studies on Robot discussed can also contribute to research in the domains of Collision, Trajectory, Simulation and Human–computer interaction. Most of the Simulation studies addressed also intersect with Work (physics).

The research on Artificial intelligence tackled can also make contributions to studies in the areas of Machine learning and Computer vision. Presentations on Control theory include those discussing PID controller and Control theory.

The most cited articles from the last journal are:

• Fake News, Investor Attention, and Market Reaction (11 citations)
• Business Models in the Sharing Economy: Manufacturing Durable Goods in the Presence of Peer-to-Peer Rental Markets (8 citations)
• Crowds, Lending, Machine, and Bias (8 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Information Systems Research (based on the number of publications) are:

• Vijay Mookerjee (28 papers) published 2 papers at the last edition, 4 less than at the previous edition,
• Ritu Agarwal (24 papers) absent at the last edition,
• Izak Benbasat (24 papers) absent at the last edition,
• Paul A. Pavlou (24 papers) published 5 papers at the last edition, 2 more than at the previous edition,
• Yong Tan (23 papers) published 5 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Information Systems Research (based on the number of publications) are:

• Carnegie Mellon University (63 papers) published 1 paper at the last edition, 6 less than at the previous edition,
• University of Texas at Dallas (62 papers) published 9 papers at the last edition, 1 less than at the previous edition,
• University of Texas at Austin (55 papers) published 1 paper at the last edition, 6 less than at the previous edition,
• University of Maryland, College Park (53 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• University of Washington (50 papers) published 8 papers at the last edition, 3 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 5.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.98% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.83% of all publications and 34.76% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Interdisciplinary Applications

Information Systems Research, while primarily focused on areas such as Knowledge Management, Information Technology, and Information Systems, also intersects with other key disciplines. This interdisciplinary approach opens up a wide range of potential applications and research fields. For instance, the concepts and methods applied can be utilized in a plethora of other areas such as urban planning, commerce, architecture, and more.

Consider, for instance, the impact information systems research can have on business. Studying the interplay between technology, data, and business operations can give invaluable insights that could improve business processes, increase efficiency, and drive business growth. Some of the best business schools like those enumerated in our list of best business schools in Washington actively incorporate elements of information systems research into their curricula, specifically for those pursuing an urban planning degree in Washington. This approach enhances students' understanding of both efficient business practice and informed urban planning.

Ensuingly, it is important to consider the broad impact and applications of the research published in Information Systems Research, as it extends well beyond the field of Information Systems alone. The overlap with other sectors and interests, from business to urban planning, creates arguable potential for exciting synergy and innovative solutions to contemporary challenges.