Episodios

  • Journal editorials that are must-reads for every IS scholar

    Journal editorials that are must-reads for every IS scholar
    Oct 16 2024

    Editorials are spaces in journals where the key stewards of the field leave advice for others about what type of research the journals they lead are looking to publish. We discuss some of our favorite editorials and dissect the advice to dish out for finding important research problems, theorizing effectively, and writing persuasively.

    References

    Rai, A. (2016). Celebrating 40 Years of MIS Quarterly: MISQ’s History and Future Through the Lenses of its Editors-in-Chief. MIS Quarterly, 40(4), iii-xvi.

    Lee, A. S. (2001). Editor's Comments: Research in Information Systems: What We Haven't Learned. MIS Quarterly, 25(4), v-xv.

    Saunders, C. (2005). Editor's Comments: Looking for Diamond Cutters. MIS Quarterly, 29(1), iii-viii.

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

    Weber, R. (2003). Editor's Comments: The Problem of the Problem. MIS Quarterly, 27(1), iii-ix.

    Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433-1450.

    Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Understanding Algorithm Aversion: Forecasters Erroneously Avoid Algorithms After Seeing them Err. Journal of Experimental Psychology: General, 144(1), 114-126.

    Jussupow, E., Benbasat, I., & Heinzl, A. (2024). An Integrative Perspective on Algorithm Aversion and Appreciation in Decision-Making. MIS Quarterly, https://doi.org/10.25300/MISQ/2024/18512.

    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.

    Sparrowe, R. T., & Mayer, K. J. (2011). Publishing in AMJ—Part 4: Grounding Hypotheses. Academy of Management Journal, 54(6), 1098-1102.

    Straub, D. W. (2009). Editor's Comments: Why Top Journals Accept Your Paper. MIS Quarterly, 33(3), iii-x.
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    37 m
  • Why you should never write a conceptual paper

    Why you should never write a conceptual paper
    Oct 2 2024
    Conceptual papers that offer new theories are hard to write and even harder to publish. You do not have empirical data to back up your arguments, which makes the papers easy to reject in the review cycle. We are also typically not well trained in theorizing, and there isn’t even a clear process to theorizing we could learn or follow. Does that mean that we shouldn’t even try to write theory papers? We ponder these questions, figure out what is so hard in writing conceptual papers – and share a few tricks that might help if you still wanted to write such a paper. References Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433-1450. Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine Publishing Company. Watson, R. T., Boudreau, M.-C., & Chen, A. J. (2010). Information Systems and Environmentally Sustainable Development: Energy Informatics and New Directions for the IS Community. MIS Quarterly, 34(1), 23-38. Lee, A. S., & Baskerville, R. (2003). Generalizing Generalizability in Information Systems Research. Information Systems Research, 14(3), 221-243. Tsang, E. W. K., & Williams, J. N. (2012). Generalization and Induction: Misconceptions, Clarifications, and a Classification of Induction. MIS Quarterly, 36(3), 729-748. Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research. Information Systems Research, 21(4), 724-735. Yoo, Y. (2010). Computing in Everyday Life: A Call for Research on Experiential Computing. MIS Quarterly, 34(2), 213-231. Merleau-Ponty, M. (1962). Phenomenology of Perception Routledge. Baldwin, C. Y., & Clark, K. B. (2000). Design Rules, Volume 1: The Power of Modularity. MIT Press. Weick, K. E. (1989). Theory Construction as Disciplined Imagination. Academy of Management Review, 14(4), 516-531. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28(1), 75-105. Sætre, A. S., & van de Ven, A. H. (2021). Generating Theory by Abduction. Academy of Management Review, 46(4), 684-701. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291. Farjoun, M. (2010). Beyond Dualism: Stability and Change As a Duality. Academy of Management Review, 35(2), 202-225. Recker, J., & Green, P. (2019). How do Individuals Interpret Multiple Conceptual Models? A Theory of Combined Ontological Completeness and Overlap. Journal of the Association for Information Systems, 20(8), 1210-1241. Jabbari, M., Recker, J., Green, P., & Werder, K. (2022). How Do Individuals Understand Multiple Conceptual Modeling Scripts? Journal of the Association for Information Systems, 23(4), 1037-1070. Cornelissen, J. P. (2017). Editor’s Comments: Developing Propositions, a Process Model, or a Typology? Addressing the Challenges of Writing Theory Without a Boilerplate. Academy of Management Review, 42(1), 1-9. Recker, J., Lukyanenko, R., Jabbari, M., Samuel, B. M., & Castellanos, A. (2021). From Representation to Mediation: A New Agenda for Conceptual Modeling Research in a Digital World. MIS Quarterly, 45(1), 269-300. Haerem, T., Pentland, B. T., & Miller, K. (2015). Task Complexity: Extending a Core Concept. Academy of Management Review, 40(3), 446-460. Kallinikos, J., Aaltonen, A., & Marton, A. (2013). The Ambivalent Ontology of Digital Artifacts. MIS Quarterly, 37(2), 357-370. Ho, S. Y., Recker, J., Tan, C.-W., Vance, A., & Zhang, H. (2023). MISQ Special Issue on Registered Reports. MIS Quarterly, https://misq.umn.edu/call_for_papers/registered-reports. Simon, H. A. (1990). Bounded Rationality. In J. Eatwell, M. Milgate, & P. Newman (Eds.), Utility and Probability (pp. 15-18). Palgrave Macmillan. James, W. (1890). The Principles of Psychology. Henry Holt and Company. Watson, H. J. (2009). Tutorial: Business Intelligence - Past, Present, and Future. Communications of the Association for Information Systems, 25(39), 487-510. Baird, A., & Maruping, L. M. (2021). The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts. MIS Quarterly, 45(1), 315-341.
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    52 m
  • 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 m
  • 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 m
  • 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 m
  • Did we learn anything?

    Did we learn anything?
    Jun 26 2024

    Time to reflect a bit. After our conversations with three excellent but very different IS researchers, we sit down and ponder the lessons we learnt from the three previous podcasts with Jan vom Brocke, Shaila Miranda, and Jason Thatcher. So did we learn anything? You betcha. We talk about the balancing humble scholarship with the need to popularize important new insights, the difference between rigor and importance of research, and the different career pathways in industry and academia.

    References

    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.

    Alaimo, C., & Kallinikos, J. (2024). Data Rules: Reinventing the Market Economy. MIT Press.

    Miranda, S. M., Wang, D., & Tian, C. (2022). Discursive Fields and the Diversity-Coherence Paradox: An Ecological Perspective on the Blockchain Community Discourse. MIS Quarterly, 46(3), 1421-1452.

    Miranda, S. M., Kim, I., & Summers, J. D. (2015). Jamming with Social Media: How Cognitive Structuring of Organizing Vision Facets Affects IT Innovation Diffusion. MIS Quarterly, 39(3), 591-614.

    Watson, R. T., Boudreau, M.-C., & Chen, A. J. (2010). Information Systems and Environmentally Sustainable Development: Energy Informatics and New Directions for the IS Community. MIS Quarterly, 34(1), 23-38.

    Malhotra, A., Melville, N. P., & Watson, R. T. (2013). Spurring Impactful Research on Information Systems for Environmental Sustainability. MIS Quarterly, 37(4), 1265-1274.

    Sein, M. K., Henfridsson, O., Purao, S., Rossi, M., & Lindgren, R. (2011). Action Design Research. MIS Quarterly, 35(2), 37-56.

    Gregor, S., Chandra Kruse, L., & Seidel, S. (2020). The Anatomy of a Design Principle. Journal of the Association for Information Systems, 21(6), 1622-1652.

    Lukyanenko, R., Parsons, J., Wiersma, Y. F., & Maddah, M. (2019). Expecting the Unexpected: Effects of Data Collection Design Choices on the Quality of Crowdsourced User-generated Content. MIS Quarterly, 43(2), 623-647.

    Recker, J., Lukyanenko, R., Jabbari, M., Samuel, B. M., & Castellanos, A. (2021). From Representation to Mediation: A New Agenda for Conceptual Modeling Research in a Digital World. MIS Quarterly, 45(1), 269-300.

    Abbasi, A., Dobolyi, D., Vance, A., & Zahedi, F. M. (2021). The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites. Information Systems Research, 32(2), 410-436.

    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.
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    41 m
  • Behavioral research is alive and well … online

    Behavioral research is alive and well … online
    Jun 12 2024

    Behavioral research is alive and well ... online

    Some time ago, we wondered whether survey research is dead. Today, we speak with Jason Thatcher, who argues the exact opposite. He gives us plenty of advice on how to design online experiments, sample rigorously on platforms like Prolific, build reliable psychometric measurements, and embed surveys in robust research designs. And because Jason is not only a prolific scholar and senior editor in our field but also very active on LinkedIn, we also talk about reviewing practices and how social media can help communities address topics that need to be spoken about.

    Jason would like to thank all his students, colleagues, and collaborators for teaching him the lessons shared and for collaborating with him on the papers discussed in this podcast.

    References

    Pienta, D., Vishwamitra, N., Somanchi, S., Berente, N., & Thatcher, J. B. (2024). Do Crowds Validate False Data? Systematic Distortion and Affective Polarization. MIS Quarterly, forthcoming.

    Lyytinen, K., Baskerville, R., Iivari, J., & Te'Eni, D. (2007). Why the Old World Cannot Publish? Overcoming Challenges in Publishing High-Impact IS Research. European Journal of Information Systems, 16(4), 317-326.

    Mettler, T., & Sunyaev, A. (2023). Are We on the Right Track? An Update to Lyytinen et al.’s Commentary on Why the Old World Cannot Publish. European Journal of Information Systems, 32(2), 263-276.

    Thatcher, J. B., Wright, R. T., Sun, H., Zagenczyk, T. J., & Klein, R. (2018). Mindfulness in Information Technology Use: Definitions, Distinctions, and a New Measure. MIS Quarterly, 42(3), 831-847.

    Carter, M., Petter, S., Grover, V., & Thatcher, J. B. (2020). Information Technology Identity: A Key Determinant of IT Feature and Exploratory Usage. MIS Quarterly, 44(3), 983-1021.

    Polites, G. L., Roberts, N., & Thatcher, J. B. (2012). Conceptualizing Models using Multidimensional Constructs: a Review and Guidelines for their Use. European Journal of Information Systems, 21(1), 22-48.

    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.

    Roth, P. L., Bobko, P., Guohou, S., Roth, R. W., Ferrise, E., & Thatcher, J. B. (2023). Doxing, Political Affiliation, and Type of Information: Effects on Suspicion, Perceived Similarity, and Hiring-Related Judgments. Journal of Applied Psychology, 109(5), 730-754.

    Subbaraman, N. (2024). Flood of Fake Science Forces Multiple Journal Closures. The Wall Street Journal. https://www.wsj.com/science/academic-studies-research-paper-mills-journals-publishing-f5a3d4bc.

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    59 m
  • Generalization or generalizability, that is the question

    Generalization or generalizability, that is the question
    May 29 2024
    Shaila Miranda is with us today. She has done some amazing theory construct research using computational methods before this was really an accepted thing. We discuss which work she built her research around to give it legitimacy, what good stopping rules are for authors or reviewers to know when enough is enough, and how we can engage in humble generalizations of interesting and general regularities. References Miranda, S. M., Kim, I., & Summers, J. D. (2015). Jamming with Social Media: How Cognitive Structuring of Organizing Vision Facets Affects IT Innovation Diffusion. MIS Quarterly, 39(3), 591-614. Walsh, I., Holton, J. A., Bailyn, L., Fernandez, W. D., Levina, N., & Glaser, B. G. (2015). What Grounded Theory Is ... A Critically Reflective Conversation Among Scholars. Organizational Research Methods, 18(4), 581-599. Levina, N., & Vaast, E. (2015). Leveraging Archival Data from Online Communities for Grounded Process Theorizing. In K. D. Elsbach & R. M. Kramer (Eds.), Handbook of Qualitative Organizational Research: Innovative Pathways and Methods (pp. 215-224). Routledge. Berente, N., Seidel, S., & Safadi, H. (2019). Data-Driven Computationally-Intensive Theory Development. Information Systems Research, 30(1), 50-64. Miranda, S. M., Wang, D., & Tian, C. (2022). Discursive Fields and the Diversity-Coherence Paradox: An Ecological Perspective on the Blockchain Community Discourse. MIS Quarterly, 46(3), 1421-1452. Fügener, A., Grahl, J., Gupta, A., & Ketter, W. (2021). Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI. MIS Quarterly, 45(3), 1527-1556. Lindberg, A., Schecter, A., Berente, N., Hennel, P., & Lyytinen, K. (2024). The Entrainment of Task Allocation and Release Cycles in Open Source Software Development. MIS Quarterly, 48(1), 67-94. Sahaym, A., Vithayathil, J., Sarker, S., Sarker, S., & Bjørn-Andersen, N. (2023). Value Destruction in Information Technology Ecosystems: A Mixed-Method Investigation with Interpretive Case Study and Analytical Modeling. Information Systems Research, 34(2), 508-531. 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. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28(1), 75-105. Adamic, L. A., & Glance, N. (2005). The Political Blogosphere and the 2004 U.S. Election: Divided They Blog. Paper presented at the 3rd International Workshop on Link Discovery, Chicago, Illinois. Pentland, B. T., Vaast, E., & Ryan Wolf, J. (2021). Theorizing Process Dynamics with Directed Graphs: A Diachronic Analysis of Digital Trace Data. MIS Quarterly, 45(2), 967-984. Sarker, S., Xiao, X., Beaulieu, T., & Lee, A. S. (2018). Learning from First-Generation Qualitative Approaches in the IS Discipline: An Evolutionary View and Some Implications for Authors and Evaluators (PART 1/2). Journal of the Association for Information Systems, 19(8), 752-774. Lee, A. S., & Baskerville, R. (2003). Generalizing Generalizability in Information Systems Research. Information Systems Research, 14(3), 221-243. Tsang, E. W. K., & Williams, J. N. (2012). Generalization and Induction: Misconceptions, Clarifications, and a Classification of Induction. MIS Quarterly, 36(3), 729-748. Hume, D. (1748/1998). An Enquiry Concerning Human Understanding [Reprint]. In J. Perry & M. E. Bratman (Eds.), Introduction to Philosophy: Classical and Contemporary Readings (3rd ed., pp. 190-220). Oxford University Press. Exemplar Computationally-intensive Theory Construction Papers Bachura, E., Valecha, R., Chen, R., & Rao, H. R. (2022). The OPM Data Breach: An Investigation of Shared Emotional Reactions on Twitter. MIS Quarterly, 46(2), 881-910. Gal, U., Berente, N., & Chasin, F. (2022). Technology Lifecycles and Digital Innovation: Patterns of Discourse Across Levels of Abstraction: A Study of Wikipedia Articles. Journal of the Association for Information Systems, 23(5), 1102-1149. Hahn, J., & Lee, G. (2021). The Complex Effects of Cross-Domain Knowledge on IS Development: A Simulation-Based Theory Development. MIS Quarterly, 45(4), 2023-2054. Indulska, M., Hovorka, D. S., & Recker, J. (2012). Quantitative Approaches to Content Analysis: Identifying Conceptual Drift Across Publication Outlets. European Journal of Information Systems, 21(1), 49-69. Lindberg, A., Majchrzak, A., & Malhotra, A. (2022). How Information Contributed After an Idea Shapes New High-Quality Ideas in Online Ideation Contests. MIS Quarterly, 46(2), 1195-1208. Nan, N. (2011). Capturing Bottom-Up Information Technology Use Processes: A Complex Adaptive Systems Model. MIS Quarterly, 35(2), 505-532. Pentland, B. T., Recker, J., Ryan Wolf, J., & Wyner, G. (2020). Bringing Context Inside Process Research With Digital Trace Data. Journal of the Association for Information Systems, 21(5), 1214-...
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