this IS research
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...
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Which research methods are better, quantitative or qualitative? What is more important, getting a richer picture of what goes on in organizations, or seeking generalizable insights about causality? This debate has raged at the very least since Glaser and Strauss popularized the grounded theory method in the mid twentieth century. In 2025, we want to put this debate to rest. We asked one of the best econometric scholars we know () and one of the best qualitative scholars we know () to fight this debate on air and come up with their very own end-of-all arguments. The result? It may surprise you:...
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We continue with our special “Ask us anything” episode to celebrate the centenary of the This IS Research podcast. This time, we handle questions such as “do we have to worry about ontology?" - No; "should we engage in community building?" Yes; and “what have you learned from the podcast?” A whole lot - and we hope you have learned a thing or two along the way as well. Episode reading list Meyer, J. W., & Rowan, B. (1977). Institutionalized Organizations: Formal Structure as Myth and Ceremony. American Journal of Sociology, 83(2), 340-363. James, W. (1907). Pragmatism: ...
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We have an anniversary to celebrate: one hundred episodes of the This IS Research podcast. We mark the occasion by answering questions we received from our audience: Which bear is the best, who likes a hug more... and what advice would we give about starting as an assistant professor, pivoting your research, and what books to read. All this and much more in part one of our “ask us anything” episode. Episode reading list Fort, T. (2003). The Book of Eels. HarperCollins. Nazar, S. (1999). A Beautiful Mind. Simon & Schuster. Frankl, V. E. (1946). Man’s Search for Meaning. Beacon...
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In 2010, the Association for Information Systems formed a special interest group () to nurture an international community of academics that study the role of digital technologies in fostering environmentally, economically and socially sustainable development. Fifteen years later, we sit down with , the current SIGGreen president, to reflect on the progress we have made. What do we know about how digital technologies help greening our planet? What efforts in empirical, theoretical, and design work is still needed? Is our role to understand the role of digital technologies or do we need to push...
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is back on the show and he is bringing decades of experiences as a journal editor. So we decided we play a game of round robin where each of us is giving rules of what to do (or not to do) as an editor. How long can we sit on papers before we make decisions? On what basis should we offer revise and resubmit decisions? When is it okay to desk reject a paper? How many reviews are enough? So if you want to learn more about the different editorial superhuman powers and supervillain powers – this is your episode. Episode reading list Recker, J. (2020). Reflections of a Retiring...
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Is it okay to use large language models in the research process? For what task, exactly, and to automate the task or to augment the researcher? In this episode, we try to explore whether and how LLMs could be used in five aspects of the research process - for paper writing, reviewing, data analysis, as a subject of research, or as a surrogate for research subjects. We also discuss whether they should be used at all, and what some long-term consequences could be of such a choice, and we develop a number of heuristic rules to help researcher make decisions about using LLMs for research. Episode...
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Is there a formula for doing and publishing research on digital phenomena? And if so, it is the same formula as the scripts for IS papers of the past, or has it changed? We discuss how our field has historically worked with reference theories from other disciplines and how we have moved beyond this one way of doing and publishing research to a variety of ways in which we can build theory about digital phenomena. We suggest that reference theories should not be viewed as immutable sacred cows but rather as a tentative basis of received wisdom, which we must problematize and adapt to move...
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Our field of information systems is in the fortunate position that we have our own independent and self-governed association (we have more than one, in fact), which publishes one of the true top journals of our field, which means that the journal is entirely in our control as members. But as , the current Editor-in-Chief of the argues, this privileged position also demands from us collective awareness, vigilance, and responsibility. We discuss some of the tensions that exist between journals and publishers and what it means for authors, reviewers, and editors to be mindful about journals and...
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Nick is traveling, Jan is sick - no time to produce a new episode in time. But fear not, we still have a giant archive of episodes that you may have forgotten or not even heard so far. So we picked five of our best episodes and link to them below so that you can re-visit them, or maybe you haven’t even gotten around to listening to them yet. All episodes can be found on the major podcasting platforms but you can also listen to them directly on the websites below. Episode links The IS field has no passion (10 November 2021). Episode recorded together with , available at . Writing papers on...
info_outlineYou set up an assumption, you have a theory, you analyze your data, and you show that the assumption does not hold. Doing good qualitative research is that simple. Except that it’s not, of course. On the ground, in the research and writing process, these basic rules can be quite tricky to implement. So we discuss some heuristics researchers can use to limit their conversants, settle on suitable theoretical lenses to examine their data, and collecting more data than what they thought was necessary.
References
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Goodall, J. (1986). The Chimpanzees of Gombe: Patterns of Behavior. Harvard University Press.
Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books.
Durkheim, E. (1895). The Rules of Sociological Method. Free Press.
Giddens, A. (1976). New Rules of Sociological Method. Hutchinson.
Barley, S. R. (1986). Technology as an Occasion for Structuring: Evidence from Observations of CT Scanners and the Social Order of Radiology Departments. Administrative Science Quarterly, 31(1), 78-108.
Kellogg, K. C. (2022). Local Adaptation Without Work Intensification: Experimentalist Governance of Digital Technology for Mutually Beneficial Role Reconfiguration in Organizations. Organization Science, 33(2), 571-599. https://doi.org/10.1287/orsc.2021.1445
Mertens, W., Recker, J., Kummer, T.-F., Kohlborn, T., & Viaene, S. (2016). Constructive Deviance as a Driver for Performance in Retail. Journal of Retailing and Consumer Services, 30, 193-203.
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Alashoor, T., Keil, M., Smith, H. J., & McConnell, A. R. (2023). Too Tired and in Too Good of a Mood to Worry about Privacy: Explaining the Privacy Paradox through the Lens of Effort Level in Information Processing. Information Systems Research, 34(4), 1415-1436.
Yin, R. K. (2009). Case Study Research: Design and Methods (4th ed.). Sage.
Berente, N., Recker, J., & Leonardi, P. (2023). Anything qualitative researchers write has been said before. This IS Research podcast, 13 September 2023.
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology. Organizational Research Methods, 16(1), 15-31.
Lebovitz, S., Levina, N., & Lifshitz-Assaf, H. (2021). Is AI Ground Truth Really “True”? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What. MIS Quarterly, 45(3), 1501-1525.
Ryle, G. (1949). The Concept of Mind. University of Chicago Press.
Langley, A. (1999). Strategies for Theorizing from Process Data. Academy of Management Review, 24(4), 691-711.
Miles, M. B., & Huberman, M. (1994). Qualitative Data Analysis (2nd ed.). Sage.
Cramton, C. D., & Hinds, P. J. (2014). An Embedded Model of Cultural Adaptation in Global Teams. Organization Science, 25(4), 1056-1081.