# Information Systems Research

- **Publisher**: INFORMS
- **ISSN**: 1047-7047
- **Impact factor**: 5.1
- **Trackers**: 1
- **Canonical page**: https://www.myhuiban.com/journal/728

## Special issues

| Title | Submission deadline |
|---|---|
| Compassionate AI | 2026-01-25 |

## Call for papers

Information Systems Research (ISR) is an author-friendly peer-reviewed journal that seeks to publish the best research in the information systems discipline. Its mission is to advance knowledge about the effective and efficient utilization of information technology by individuals, groups, organizations, society, and nations for the improvement of economic and social welfare. The journal is receptive to a wide variety of phenomena and topics related to the design, management, use, valuation, and impacts of information technologies at different levels of analysis (e.g., individuals, groups, firms, networks, societies, and nations). High-quality theoretical, empirical, design, and analytical work on any of the above topics is welcomed by the journal. The journal publishes research that examines topics from a wide range of research traditions including, but not limited to, cognitive psychology, economics, computer science, operations research, design science, organization theory, organization behavior, sociology, and strategic management. Diverse methods and research approaches are welcome. Reviews and syntheses of prior contributions to relevant topics are appropriate, provided they make significant contributions to ongoing research streams in the information systems research community. The primary form of publication in ISR is a Research Article. Research articles make novel, innovative, and rigorous original contributions, aim to break new ground, generate substantive insights on important phenomena, and have a strong grounding in current or new theory. The journal also welcomes Research Commentaries and Research Notes. Research Commentaries are designed to provide a critical evaluation and roadmap for future research on questions of significance to the information systems community. They describe an interesting or novel perspective or phenomenon; explain why this perspective is needed and how it is missing in the current research and thinking, and present directions for further research and practice. Research Notes are shorter in length than traditional Research Articles but nonetheless make an important and original research contribution by extending well researched phenomena. ISR aims to publish papers that are domain-relevant to its readers. Papers purely focused on methodology that are more appropriate for other outlets will be considered only when they demonstrate the value of the research for the information systems community.

## Related conferences

- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141
- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421
- IJCAI — International Joint Conference on Artificial Intelligence — https://www.myhuiban.com/conference/405

## Related journals

- Mathematics of Operations Research — https://www.myhuiban.com/journal/883
- INFORMS Journal on Computing — https://www.myhuiban.com/journal/692
- Cognitive Systems Research — https://www.myhuiban.com/journal/353
- Library & Information Science Research — https://www.myhuiban.com/journal/907
- Big Data Research — https://www.myhuiban.com/journal/357

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Source: Conference Partner — https://www.myhuiban.com/journal/728 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)