Elitism, conflicts of interest, and collusion in the information systems field?

Is there collusion in our field? Do we have elites running wild, making sure that their work gets published whilst the rest of us struggles to find room to publish our own work? And are we handling conflicts of interest that may exist between authors and the editors who are charged with making decisions about their work? These are serious questions. They target the core of our field, they have the potential to undermine – or bolster – the legitimacy of all our scholarship, and they pose serious material consequences for all scholars, their careers and ultimately their lives. We came across a new paper that reports an analysis of the potential conflict of interest issues in academic publishing, and we use this paper to reflect on our experiences as both authors and editors. We try to draw a few conclusions and recommendations about how we can raise awareness and build institutional trust to minimize if not avoid any questionable or outright unethical practices in publishing.

Episode reading list

Association for Information Systems. AIS Podcast Library, https://aisnet.org/page/aispodcast.

Mindel, V., & Ciriello, R. (2025). Safeguarding Academic Legitimacy: Editorial Conflicts of Interest as a Principal-Agent Problem in Elite Business Journals. SSRN, https://ssrn.com/abstract=5315585.

Recker, J., Rosemann, M., Green, P., & Indulska, M. (2011). Do Ontological Deficiencies in Modeling Grammars Matter? MIS Quarterly, 35(1), 57-79.

Lee, J., & Berente, N. (2012). Digital Innovation and the Division of Innovative Labor: Digital Controls in the Automotive Industry. Organization Science, 23(5), 1428-1447.

Kane, G. C., Young, A., Majchrzak, A., & Ransbotham, S. (2021). Avoiding an Oppressive Future of Machine Learning: A Design Theory for Emancipatory Assistants. MIS Quarterly, 45(1), 371-396.

Grisold, T., Berente, N., & Seidel, S. (2025). Guardrails for Human-AI Ecologies: A Design Theory for Managing Norm-Based Coordination. MIS Quarterly, https://doi.org/10.25300/MISQ/2025/18058.

Boh, W., Melville, N. P., Baptista, J., Chasin, F., Horita, F., Ixmeier, A., Johnson, S. L., Ketter, W., Kranz, J., Miranda, S. M., Nan, N., Pentland, B. T., Recker, J., Sadeghi, S., Sarker, S., Sarker, S., Sutanto, J., Wang, P., & Wilopo, W. (2025). Digital Resilience for the Climate Crisis: Theoretical Perspectives and Ideas for Future Information Systems Research. MIS Quarterly, forthcoming.

Merton, R. K. (1968). The Matthew Effect in Science. Science, 159(3810), 56-63.

Tiwana, A., & Safadi, H. (2025). Silence Inside Systems: Roots and Generativity Consequences. Information Systems Research, https://doi.org/10.1287/isre.2022.0586.

Li, J., Li, M., Wang, X., & Thatcher, J. B. (2021). Strategic Directions for AI: The Role of CIOs and Boards of Directors. MIS Quarterly, 45(3), 1603-1643.

Pienta, D., Vishwamitra, N., Somanchi, S., Berente, N., & Thatcher, J. B. (2025). Do Crowds Validate False Data? Systematic Distortion and Affective Polarization. MIS Quarterly, 49(1), 347-366.