Method-ism (17 March 2021)

Description

What are the big methodological movements at the moment that potentially shape the future of IS research? What are the most popular methods IS researchers use? How do we do research in the golden age of digital trace data?

In the episode we mention that Michael Hron made a of list of IS people that are on twitter for easier access to the community. You can contact him to add names to the list.

Episode Reading List

  • Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
  • Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit And Individual Performance. MIS Quarterly, 19(2), 213-236.
  • Orlikowski, W. J. (1992). The Duality of Technology: Rethinking the Concept of Technology in Organizations. Organization Science, 3(3), 398-427.
  • 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.
  • Tiwana, A., Konsynski, B. R., & Bush, A. A. (2010). Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics. Information Systems Research, 21(4), 675-687.
  • 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.
  • Berente, N., Seidel, S., & Safadi, H. (2019). Data-Driven Computationally-Intensive Theory Development. Information Systems Research, 30(1), 50-64.
  • Whelan, E., Teigland, R., Vaast, E., & Butler, B. S. (2016). Expanding the Horizons of Digital Social Networks: Mixing Big Trace Datasets with Qualitative Approaches. Information and Organization, 26(1-2), 1-12.
  • Lindberg, A. (2020). Developing Theory through Integrating Human and Machine Pattern Recognition. Journal of the Association for Information Systems, 21(1), 90-116.
  • Zheng, Z., Pavlou, P. A., & Gu, B. (2014). Latent Growth Modeling for Information Systems: Theoretical Extensions and Practical Applications. Information Systems Research, 25(3), 547-568.
  • Angst, C. M., Wowak, K. D., Handley, S. M., & Kelley, K. (2017). Antecedents of Information Systems Sourcing Strategies in U.S. Hospitals: A Longitudinal Study. MIS Quarterly, 41(4), 1129-1152.
  • van der Aalst, W. M. P. (2016). Process Mining: Data Science in Action. Springer.
  • van der Aalst, W. M. P. (2013). Mine Your Own Business: Using Process Mining to Turn Big Data into Real Value. Keynote at the 21st European Conference on Information Systems, June 6th 2013, Utrecht, The Netherlands.
  • IEEE Taskforce on Process Mining (2020). The International Business Process Intelligence Challenge.
  • Pentland, B. T., Vaast, E., & Ryan Wolf, J. (2021). Theorizing Process Dynamics with Directed Graphs: A Diachronic Analysis of Digital Trace Data. MIS Quarterly, forthcoming.
  • Mendling, J., Pentland, B. T., & Recker, J. (2020). Building a Complementary Agenda for Business Process Management and Digital Innovation. European Journal of Information Systems, 29(3), 208-219.
  • Xu, H., Zhang, N., & Zhou, L. (2020). Validity Concerns in Research Using Organic Data. Journal of Management, 46(7), 1257-1274.
  • Shadish, W. R., Cook, T. D., & Campbell, D. T. (2001). Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2nd ed.). Houghton Mifflin.
  • Möhlmann, M., Zalmanson, L., Henfridsson, O., & Gregory, R. W. (2021). Algorithmic Management of Work on Online Labor Platforms: When Matching Meets Control. MIS Quarterly, 45, forthcoming.
  • 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.
  • Geiger, R. S., & Ribes, D. (2011). Trace Ethnography: Following Coordination through Documentary Practices. 44th Hawaii International Conference on System Sciences, Kauai, Hawaii.
  • Kozinets, R. V. (2009). Netnography: Doing Ethnographic Research Online. Sage.
  • Werder, K., Seidel, S., Recker, J., Berente, N., Kundert-Gibbs, J., Abboud, N., & Benzeghadi, Y. (2020). Data-Driven, Data-Informed, Data-Augmented: How Ubisoft’s Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation. California Management Review, 62(3), 86-102.
  • Nosek, B. A., Ebersole, C. R., C., D. A., & Mellor, D. T. (2018). The Preregistration Revolution. Proceedings of the National Academy of Sciences, 115(11), 2600-2606.
  • Li, J., Larsen, K. R. T., & Abbasi, A. (2020). TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning. MIS Quarterly, 44(4), 1733-1772.
  • Schecter, A., Pilny, A., Leung, A., Poole, M. S., & Contractor, N. (2018). Step by step: Capturing the Dynamics of Work Team Process Through Relational Event Sequences. Journal of Organizational Behavior, 39(9), 1163-1181.
  • Smith, A. E., & Humphreys, M. S. (2006). Evaluation of Unsupervised Semantic Mapping of Natural Language with Leximancer Concept Mapping. Behavior Research Methods, Instruments, and Computers, 38(2), 262-279.
  • Larsen, K. R. T., Monarchi, D. E., Hovorka, D. S., & Bailey, C. N. (2008). Analyzing Unstructured Text Data: Using Latent Categorization to Identify Intellectual Communities in Information Systems. Decision Support Systems, 45(4), 884-896.
  • 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.
  • Vessey, I., Ramesh, V., & Glass, R. L. (2002). Research in Information Systems: An Empirical Study of Diversity in the Discipline and Its Journals. Journal of Management Information Systems, 19(2), 129-174.
  • 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.
  • Mazaheri, E., Lagzian, M., & Hemmat, Z. (2020). Research Directions in Information Systems Field, Current Status and Future Trends: A Literature Analysis of AIS Basket of Top Journals. Australasian Journal of Information Systems, 24.
  • Park, Y., Fiss, P. C., & El Sawy, O. A. (2020). Theorizing the Multiplicity of Digital Phenomena: The Ecology of Configurations, Causal Recipes, and Guidelines for Applying QCA. MIS Quarterly, 44(4), 1493-1520.

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