this IS research

By: Nick Berente and Jan Recker
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  • Summary

  • Professors Nick Berente from the University of Notre Dame and Jan Recker from the University of Hamburg talk about current and persistent topics in information systems research, a field that explores how digital technologies change business and society. You can find papers and other materials we discuss in each episode at http://www.janrecker.com/this-is-research-podcast/.
    © 2021 Nick Berente and Jan Recker
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Episodes
  • Orthogonal testing planes and electricity in the kitchen

    Orthogonal testing planes and electricity in the kitchen
    Sep 18 2024
    Did you know that when you spend time on an online platform, you could be experiencing between six to eight different experimental treatments that stem from several hundred A/B tests that run concurrently? That’s how common digital experimentation is today. And while this may be acceptable in industry, large-scale digital experimentation poses some substantial challenges for researchers wanting to evaluate theories and disconfirm hypotheses through randomized controlled trials done on digital platforms. Thankfully, the brilliant Ahmed Abbasi has a new paper forthcoming that illuminates the orthogonal testing plane problem and offers some guidelines for sidestepping the issue. So if experiments are your thing, you really need to listen to what is really going on out there. References Abbasi, A., Somanchi, S., & Kelley, K. (2024). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, https://doi.org/10.25300/MISQ/2024/18201. Miranda, S. M., Berente, N., Seidel, S., Safadi, H., & Burton-Jones, A. (2022). Computationally Intensive Theory Construction: A Primer for Authors and Reviewers. MIS Quarterly, 46(2), i-xvi. Karahanna, E., Benbasat, I., Bapna, R., & Rai, A. (2018). Editor's Comments: Opportunities and Challenges for Different Types of Online Experiments. MIS Quarterly, 42(4), iii-x. Kohavi, R., & Thomke, S. (2017). The Surprising Power of Online Experiments. Harvard Business Review, 95(5), 74-82. Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. Pienta, D., Vishwamitra, N., Somanchi, S., Berente, N., & Thatcher, J. B. (2024). Do Crowds Validate False Data? Systematic Distortion and Affective Polarization. MIS Quarterly, https://doi.org/10.25300/MISQ/2024/17482. Bapna, R., Goes, P. B., Gupta, A., & Jin, Y. (2004). User Heterogeneity and Its Impact on Electronic Auction Market Design: An Empirical Exploration. MIS Quarterly, 28(1), 21-43. Somanchi, S., Abbasi, A., Kelley, K., Dobolyi, D., & Yuan, T. T. (2023). Examining User Heterogeneity in Digital Experiments. ACM Transactions on Information Systems, 41(4), 1-34. Mertens, W., & Recker, J. (2020). New Guidelines for Null Hypothesis Significance Testing in Hypothetico-Deductive IS Research. Journal of the Association for Information Systems, 21(4), 1072-1102. GRADE Working Group. (2004). Grading Quality of Evidence and Strength of Recommendations. British Medical Journal, 328(7454), 1490-1494. 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. Abbasi, A., Chiang, R. H. L., & Xu, J. (2023). Data Science for Social Good. Journal of the Association for Information Systems, 24(6), 1439-1458. Babar, Y., Mahdavi Adeli, A., & Burtch, G. (2023). The Effects of Online Social Identity Signals on Retailer Demand. Management Science, 69(12), 7335-7346. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28(1), 75-105. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291. Benbasat, I., & Zmud, R. W. (2003). The Identity Crisis Within The IS Discipline: Defining and Communicating The Discipline's Core Properties. MIS Quarterly, 27(2), 183-194. Gregor, S., & Hevner, A. R. (2013). Positioning and Presenting Design Science Research for Maximum Impact. MIS Quarterly, 37(2), 337-355. Rai, A. (2017). Editor's Comments: Avoiding Type III Errors: Formulating IS Research Problems that Matter. MIS Quarterly, 41(2), iii-vii. Burton-Jones, A. (2023). Editor's Comments: Producing Significant Research. MIS Quarterly, 47(1), i-xv. Abbasi, A., Dillon, R., Rao, H. R., & Liu Sheng, O. R. (2024). Preparedness and Response in the Century of Disasters: Overview of Information Systems Research Frontiers. Information Systems Research, 35(2), 460-468.
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    54 mins
  • The three most useless slides in conference presentations

    The three most useless slides in conference presentations
    Sep 4 2024

    We are back with the usual dose of fortnightly folksy academic wisdom sprinkled in with some serious and substantive conversations. We kick this new season off by discussing observations we made at this year’s Academy of Management conference in Chicago. We talk about how to get the most out of doctoral and junior faculty consortia, how to pick which session to go to, how papers get reviewed at conferences, which papers tend to get selected for presentation – and how to use your session as a platform to pitch your work and yourself and finish with a crescendo and a mic drop.

    References

    Kallinikos, J., Yoo, Y., Baldwin, C., Van Alstyne, M., Tucci, C. L., & Saar-Tsechansky, M. (2024). Perspectives on Digital Innovation. Academy of Management Annual Meeting Proceedings, https://doi.org/10.5465/AMPROC.2024.12342symposium.

    Baskerville, R., Kaul, M., & Storey, V. C. (2017). Establishing Reliability in Design Science Research 38th International Conference on Information Systems, Seoul, Korea, https://aisel.aisnet.org/icis2017/ResearchMethods/Presentations/5.

    Aaltonen, A., Stelmaszak, M. (2024). Innovating in Data-based Reality: New Perspectives on Data as a Research Object. Academy of Management Professional Development Workshop, August 9, 2024, Chicago, Illinois.

    Meurer, M. M., Chalmers, D., Recker, J. (2024). Digital Technologies as Catalysts for Entrepreneurial Activities. Academy of Management Professional Development Workshop, August 9, 2024, Chicago, Illinois.

    Davidsson, P., Recker, J., & von Briel, F. (2020). External Enablement of New Venture Creation: A Framework. Academy of Management Perspectives, 34(3), 311-332.
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    51 mins
  • How to do a literature review

    How to do a literature review
    Jul 10 2024
    Many people think of summer as the best time to read. On the beach, on the airplane to a vacation, in between semesters… Sounds like a perfect time to do a literature review. But there are many ways to do a literature review, and in all honesty, we think most people choose the wrong type of review – the “systematic” literature review where they select papers about a phenomenon, do a supposedly structured but not exhaustive search across IS journals, and then criticize the knowledge others have created. We discuss a few alternatives that we think hold more promise: qualitative and quantitative meta analyses, or narrative and integrative reviews. We also point to a few papers that have helped us organize the conversations we read about in the literature – which really, is what literature reviewing is all about. References Berente, N., Lyytinen, K., Yoo, Y., & Maurer, C. (2019). Institutional Logics and Pluralistic Responses to Enterprise System Implementation: A Qualitative Meta-Analysis. MIS Quarterly, 43(3), 873-902. Noblit, G. W., & Hare, R. D. (1988). Meta-Ethnography: Synthesising Qualitative Studies. Sage. King, W. R., & He, J. (2006). A Meta-analysis of the Technology Acceptance Model. Information & Management, 43(6), 740-755. Zaza, S., Joseph, D., & Armstrong, D. J. (2023). Are IT Professionals Unique? A Second-Order Meta-Analytic Comparison of Turnover Intentions Across Occupations. MIS Quarterly, 47(3), 1213-1238. Trang, S., Kraemer, T., Trenz, M., & Weiger, W. H. (2024). Deeper Down the Rabbit Hole: How Technology Conspiracy Beliefs Emerge and Foster a Conspiracy Mindset. Information Systems Research, https://doi.org/10.1287/isre.2022.0494. Berente, N., Salge, C. A. D. L., Mallampalli, V. K. T., & Park, K. (2022). Rethinking Project Escalation: An Institutional Perspective on the Persistence of Failing Large-Scale Information System Projects. Journal of Management Information Systems, 39(3), 640-672. Skinner, R. J., Nelson, R. R., & Chin, W. (2022). Synthesizing Qualitative Evidence: A Roadmap for Information Systems Research. Journal of the Association for Information Systems, 23(3), 639-677. vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfault, R., & Cleven, A. (2009). Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process. 17th European Conference on Information Systems, Verona, Italy. vom Brocke, J., Simons, A., Riemer, K., Niehaves, B., Plattfault, R., & Cleven, A. (2015). Standing on the Shoulders of Giants: Challenges and Recommendations of Literature Search in Information Systems Research. Communications of the Association for Information Systems, 37(9), 205-224. Bunge, M. A. (1977). Treatise on Basic Philosophy Volume 3: Ontology I - The Furniture of the World. Kluwer Academic Publishers. Burton-Jones, A., Recker, J., Indulska, M., Green, P., & Weber, R. (2017). Assessing Representation Theory with a Framework for Pursuing Success and Failure. MIS Quarterly, 41(4), 1307-1333. Recker, J., Indulska, M., Green, P., Burton-Jones, A., & Weber, R. (2019). Information Systems as Representations: A Review of the Theory and Evidence. Journal of the Association for Information Systems, 20(6), 735-786. Saghafi, A., & Wand, Y. (2020). A Meta-Analysis of Ontological Guidance and Users' Understanding of Conceptual Models. Journal of Database Management, 31(4), 46-68. Leonardi, P. M., & Vaast, E. (2017). Social Media and their Affordances for Organizing: A Review and Agenda for Research. Academy of Management Annals, 11(1), 150-188. Orlikowski, W. J., & Scott, S. V. (2008). Sociomateriality: Challenging the Separation of Technology, Work and Organization. Academy of Management Annals, 2(1), 433-474. Felin, T., Foss, N. J., & Ployhart, R. E. (2015). The Microfoundations Movement in Strategy and Organization Theory. Academy of Management Annals, 9(1), 575-632. Cronin, M. A., & George, E. (2023). The Why and How of the Integrative Review. Organizational Research Methods, 26(1), 168-192. Paré, G., Trudel, M.-C., Jaana, M., & Kitsiou, S. (2015). Synthesizing Information Systems Knowledge: A Typology of Literature Reviews. Information & Management, 52(2), 183-199. Rivard, S. (2014). Editor's Comments: The Ions of Theory Construction. MIS Quarterly, 32(2), iii-xiii. Leidner, D., Berente, N., & Recker, J. (2023). What’s been done, what’s been found, and what it means. This IS research podcast, http://www.janrecker.com/this-is-research-podcast/whats-been-done-whats-been-found-and-what-it-means-19-april-2023/. Webster, J., & Watson, R. T. (2002). Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly, 26(2), xiii-xxiii. Grisot, M., & Modol, J. R. (2024). Special Section Introduction: Reflecting and Celebrating Ole Hanseth’s Contribution to the IS Community. Scandinavian Journal of Information Systems, 36(1), 39-40. Association for Information Systems (2023. History of AIS. ...
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    59 mins
Management Economics Social Sciences Science
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