Journals play an important role for academics. They disseminate new knowledge and separate good from bad research. They also signal competencies, reputation, and standing. Publishing in certain journals often means your work is more rigorous. It may also mean your work is more visible and gets cited more often. Plus, having your work appear in certain journals can be an important prerequisite for career advancement and it can literally affect your salary. Yet of course, these different functions can be evaluated in different ways. Not all journals score equally high or low on all these different aspects. Determining which journal is "good" or "top" becomes a complicated multidimensional riddle. We decided to ask Jason Thatcher. He is one of the most prolific authors of journal papers our field has ever seen and he has served as reviewer or editors on most if not all of them. We try to develop a simple 2x2 decision tool that helps authors identify journals that are both rigorous and prestigious, that are good for the research we do and good for our careers as well.

References

AIS College of Senior Scholars. (2023). Senior Scholars' List of Premier Journals. Association for Information Systems, https://aisnet.org/page/SeniorScholarListofPremierJournals.

Lowry, P. B., Moody, G. D., Gaskin, J., Galletta, D. F., Humpherys, S. L., Barlow, J. B., & Wilson, D. W. (2014). Evaluating Journal Quality and the Association for Information Systems Senior Scholars' Journal Basket Via Bibliometric Measures: Do Expert Journal Assessments Add Value? MIS Quarterly, 37(4), 993–1012.

Dennis, A. R., Valacich, J. S., Fuller, M. A., & Schneider, C. (2006). Research Standards for Promotion and Tenure in Information Systems. MIS Quarterly, 30(1), 1–12.

Abbasi, A., Parsons, J., Pant, G., Liu Sheng, O. R., & Sarker, S. (2024). Pathways for Design Research on Artificial Intelligence. Information Systems Research, 35(2), 441–459.

Rai, A. (2017). Editor's Comments: Seeing the Forest for the Trees. MIS Quarterly, 41(4), iii–vii.

Recker, J. (2020). Reflections of a Retiring Editor-in-Chief. Communications of the Association for Information Systems, 46(32), 751–761.

Agarwal, R., & Lucas Jr., H. C. (2005). The Information Systems Identity Crisis: Focusing on High-Visibility and High-Impact Research. MIS Quarterly, 29(3), 381–398.

Applegate, L., & King, J. L. (1999). Rigor and Relevance: Careers on the Line. MIS Quarterly, 23(1), 17–18.

Rai, A. (2017). Editor's Comments: Avoiding Type III Errors: Formulating IS Research Problems that Matter. MIS Quarterly, 41(2), iii–vii.

Let's say we are unethical people, trying to get ahead in academia and gain accolades for the sake of promotion and income and so forth. In an age where artificial intelligence and LLMs are entering the academic enterprise, has "cheating" changed? Are there new ways of fabricating, fudging, cooking, trimming, and lying about your data, your insights, and your writing? Do we cheat the way we've always cheated, just more effectively and efficiently? Or do we not actually cheat but merely change the rules and norms of scholarship? Tune in and find out.

References

Noblit, G. W., & Hare, R. D. (1988). Meta-Ethnography: Synthesising Qualitative Studies. Sage.

Locke, K. D., & Golden-Biddle, K. (1997). Constructing Opportunities for Contribution: Structuring Intertextual Coherence and "Problematizing" in Organizational Studies. Academy of Management Journal, 40(5), 1023–1062.

Recker, J. (2026). The Only Constant is Change: CAIS and the Ever-Evolving World of IS Research and Practice. Communications of the Association for Information Systems, 57(79), 1537-1546.

Shu, L. L., Mazar, N., Gino, F., Ariely, D., & Bazerman, M. H. (2012). RETRACTED: Signing at the Beginning Makes Ethics Salient and Decreases Dishonest Self-Reports in Comparison to Signing at the End. Proceedings of the National Academy of Sciences, 109(38), 15197–15200.

Wikipedia. (2025). Ulrich Lichtenthaler. https://en.wikipedia.org/wiki/Ulrich_Lichtenthaler.

Kerr, N. L. (1998). HARKing: Hypothesizing After the Results are Known. Personality and Social Psychology Review, 2(3), 196–217.

Andrade, C. (2021). HARKing, Cherry-Picking, P-Hacking, Fishing Expeditions, and Data Dredging and Mining as Questionable Research Practices. Journal of Clinical Psychiatry, 82(1), 20f13804.

Matthews, R. A. J. (2026). The ASA p-Value Statement 10 Years on: An Event of Statistical Significance? Significance, 23(2), 4–5.

von Briel, F., Davidsson, P., & Recker, J. (2026). Why and How Societal Crises Give Rise to Extreme Growth Outliers: A Theory of External Enablement. Academy of Management Review, https://doi.org/10.5465/amr.2023.0072.

Brodeur, A., Carrell, S., Figlio, D., & Lusher, L. (2023). Unpacking P-hacking and Publication Bias. American Economic Review, 113(11), 2974–3002.

Dubner, S. J. (2026). If You're Not Cheating, You're Not Trying. Freakonomics Radio, Episode 662, https://freakonomics.com/podcast/if-youre-not-cheating-youre-not-trying/.

In 2026, everything is different. AI is scaling both research and publishing productivity. Impact factors no longer matter. Big name journal publishers launch offspring journals with little credentials other than the brand. How should we make sense of all this to figure out which journals are really important to our field? It is time for a new, rigorous ranking of IS journals. Problem is, we cannot really agree on our ranks and our reasons. You need to help us: give us your top ten ranking of IS journals with your reasoning. Together, we can find out what is best for our field going forward.

References

Seidel, S., Berente, N., Guo, H., Oh, W. (2026): Ethics, Regulation, and Policy: The Challenge to Institutions in the Digital Age. MIS Quarterly Special Issue, https://misq.umn.edu/pages/call_for_papers_ethics_and_regulations.

Saunders, C., Brown, S. A., Bygstad, B., Dennis, A. R., Ferran, C., Galletta, D. F., Liang, T.-P., Lowry, P. B., Recker, J., & Sarker, S. (2017). Goals, Values, and Expectations of the AIS Family of Journals. Journal of the Association for Information Systems, 18(9), 633–647.

Riemer, K., Peter, S., Schwabe, G., Chatterjee, S., Adam, M., & Davison, R. M. (2026). Generative AI is Neither Just Another IT Artifact Nor a Colleague: Methodological Guidance for IS Scholarship. Information Systems Journal, 36(2), https://doi.org/10.1111/isj.70027.

Rai, A. (2016). Editor's Comments: The MIS Quarterly Trifecta: Impact, Range, Speed. MIS Quarterly, 40(1), iii–x.

Berente, N., Seidel, S., & Safadi, H. (2019). Data-Driven Computationally-Intensive Theory Development. Information Systems Research, 30(1), 50–64.

Recker, J. (2026). The Only Constant is Change: CAIS and the Ever-Evolving World of IS Research and Practice. Communications of the Association for Information Systems, 57, forthcoming.

Watson, H. J. (2009). Tutorial: Business Intelligence - Past, Present, and Future. Communications of the Association for Information Systems, 25(39), 487–510.

Loeser, F., Recker, J., vom Brocke, J., Molla, A., & Zarnekow, R. (2017). How IT Executives Create Organizational Benefits by Translating Environmental Strategies into Green IS Initiatives. Information Systems Journal, 27(4), 503–553.

Chau, M., Saunders, C., Chin, W., Recker, J., & Schwarz, A. (2025). 2025 Senior Scholars Journal Review Quality Survey. Association for Information Systems, https://aisnet.org/page/2025SeniorScholarSurvey.