THE BIG FIVE THEORIES FROM THE LAST MILLENNIUM (17 May 2023)

Description

What are the big ideas and streams of thinking from before the turn of the millennium that have shaped our field and may still be relevant today? For once, we did some homework to review some of the theories from before the year 2000 that we think everyone should know about. So whether you are studying AI or algorithmic aversion, digital transformation or digital innovation, you have no business continuing your research without knowing these gems from the past.

Episode Reading List

  • Hirschheim, R., & Klein, H. K. (2012). A Glorious and Not-So-Short History of the Information Systems Field. Journal of the Association for Information Systems, 13(4), 188-235.
  • Rogers, E. M. (1962). Diffusion of Innovations. Free Press.
  • Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-222.
  • 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.
  • Heracleous, L., & Barrett, M. (2001). Organizational Change as Discourse: Communicative Actions and Deep Structures in the Context of Information Technology Implementation. Academy of Management Journal, 44(4), 755-778.
  • Davidson, E. J., & Vaast, E. (2009). Tech Talk: An Investigation of Blogging in Technology Innovation Discourse. IEEE Transactions on Professional Communication, 52(1), 40-60.
  • Swanson, E. B., & Ramiller, N. C. (1997). The Organizing Vision in Information Systems Innovation. Organization Science, 8(5), 458–474.
  • Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124-1131.
  • Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291.
  • Kahneman, D. (2012). Thinking, Fast and Slow. Penguin.
  • Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions about Health, Wealth, and Happiness. Penguin Books.
  • Daft, R. L., & Lengel, R. H. (1986). Organizational Information Requirements, Media Richness and Structural Design. Management Science, 32(5), 554-571.
  • Dennis, A. R. (2008). Media, Tasks, and Communication Processes: A Theory of Media Synchronicity. MIS Quarterly, 32(3), 575-600.
  • Galbraith, J. R. (1976). Organization Design: An Information Processing View. Interfaces, 4(3), 28-36.
  • Daft, R. L., & Macintosh, N. B. (1981). A Tentative Exploration into the Amount and Equivocality of Information Processing in Organizational Work Units. Administrative Science Quarterly, 26(2), 207-224.
  • Adjerid, I., Angst, C. M., Devaraj, S., & Berente, N. (2023). Does Analytics Help Resolve Equivocality in the Healthcare Context? Contrasting Effects of Analyzability and Differentiation. Journal of the Association for Information Systems, forthcoming. https://doi.org/10.17705/1jais.00805
  • Te’Eni, D. (2001). A Cognitive-Affective Model of Organizational Communication For Designing IT. MIS Quarterly, 25(2), 251-312.
  • Trist, E. L., & Bamforth, K. W. (1951). Some Social and Psychological Consequences of the Longwall Method of Coal-Getting: An Examination of the Psychological Situation and Defences of a Work Group in Relation to the Social Structure and Technological Content of the Work System. Human Relations, 4(1), 3-38.
  • Rice, A. K. (1958). Productivity and Social Organisation: the Ahmedabad Experiment. Tavistock.
  • Trist, E. L. (1981). The Evolution of Socio-technical Systems: A Conceptual Framework and an Action Research Program. Ontario Ministry of Labour.
  • Trist, E. L., & Emery, F. (2005). Sociotechnical Systems Theory. In J. B. Miner (Ed.), Organizational Behavior 2: Essential Theories of Process and Structure (pp. 169-194). M.E. Sharpe.
  • Bostrom, R. P., & Heinen, J. S. (1977). MIS Problems and Failures: A Socio-Technical Perspective, Part I: The Causes. MIS Quarterly, 1(1), 17-32.
  • Mumford, E. (2006). The Story of Socio-Technical Design: Reflections on its Successes, Failures and Potential. Information Systems Journal, 16(4), 317-342.
  • Orlikowski, W. J., & Scott, S. V. (2008). Sociomateriality: Challenging the Separation of Technology, Work and Organization. Academy of Management Annals, 2(1), 433-474.
  • Giddens, A. (1984). The Constitution of Society: Outline of the Theory of Structuration. University of California Press.
  • 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.
  • Bostrom, R. P., Gupta, S., & Thomas, D. M. (2009). A Meta-Theory for Understanding Information Systems Within Sociotechnical Systems. Journal of Management Information Systems, 26(1), 17-47.
  • Sarker, S., Chatterjee, S., Xiao, X., & Elbanna, A. R. (2019). The Sociotechnical Axis of Cohesion for the IS Discipline: Its Historical Legacy and its Continued Relevance. MIS Quarterly, 43(3), 695-719.
  • Winter, S., Berente, N., Howison, J., & Butler, B. S. (2014). Beyond the Organizational ‘Container’: Conceptualizing 21st Century Sociotechnical Work. Information and Organization, 24(4), 250-269.
  • Skinner, B. F. (1948). Walden Two. Hackett Publishing Company.
  • Slater, L. (2005). Opening Skinner’s Box: Great Psychological Experiments of the Twentieth Century. Norton & Company.
  • Sweller, J. (1988). Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science, 12(2), 257-285.
  • Vessey, I., & Galletta, D. F. (1991). Cognitive Fit: An Empirical Study of Information Acquisition. Information Systems Research, 2(1), 63-84.
  • Miller, G. A. (1956). The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information. Psychological Review, 63(2), 81-97.
  • Mayer, R. E. (2001). Multimedia Learning. Cambridge University Press.
  • Recker, J. (2013). Empirical Investigation of the Usefulness of Gateway Constructs in Process Models. European Journal of Information Systems, 22(6), 673-689.
  • Stamper, R. K. (1973). Information in Business and Administrative Systems. John Wiley and Sons.
  • Alavi, M., & Leidner, D. E. (2001). Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues. MIS Quarterly, 25(1), 107-136.
  • Boulding, K. E. (1966). The Economics of Knowledge and the Knowledge of Economics. American Economic Review, 56(1/2), 1-13.
  • Bell, D. (1999). The Coming of Post-Industrial Society. Basic Books.
  • Ackoff, R. L. (1989). From Data to Wisdom. Journal of Applied Systems Analysis, 16, 3-10.
  • Tuomi, I. (1999). Data Is More than Knowledge: Implications of the Reversed Knowledge Hierarchy for Knowledge Management and Organizational Memory. Journal of Management Information Systems, 16(3), 103-117.
  • Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99-120.
  • Teece, D. J., & Pisano, G. (1994). The Dynamic Capabilities of Firms: an Introduction. Industrial and Corporate Change, 3(3), 537-556.
  • Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic Capabilities: What are They? Strategic Management Journal, 21(10/11), 1105-1121.
  • Williamson, O. E. (1981). The Economics of Organization: The Transaction Cost Approach. American Journal of Sociology, 87(3), 548-577.
  • Malone, T. W., Yates, J., & Benjamin, R. I. (1987). Electronic Markets and Electronic Hierarchies. Communications of the ACM, 30(6), 484-497.
  • Huang, J., Henfridsson, O., & Liu, M. J. (2022). Extending Digital Ventures Through Templating. Information Systems Research, 33(1), 285-310.
  • Giustiziero, G., Kretschmer, T., Somaya, D., & Wu, B. (2023). Hyperspecialization and Hyperscaling: A Resource-based Theory of the Digital Firm. Strategic Management Journal,https://doi.org/10.1002/smj.3365
  • Berger, P. L., & Luckmann, T. (1966). The Social Construction of Reality: A Treatise in the Sociology of Knowledge. Doubleday.
  • Garud, R., Kumaraswamy, A., & Karnøe, P. (2010). Path Dependence or Path Creation? Journal of Management Studies, 47(4), 760-774.
  • Garud, R., Hardy, C., & Maguire, S. (2007). Institutional Entrepreneurship as Embedded Agency: An Introduction to the Special Issue. Organization Studies, 28(7), 957-969.
  • Wand, Y., & Weber, R. (1990). An Ontological Model of an Information System. IEEE Transactions on Software Engineering, 16(11), 1282-1292.
  • Wand, Y., & Weber, R. (1993). On the Ontological Expressiveness of Information Systems Analysis and Design Grammars. Journal of Information Systems, 3(4), 217-237.
  • Wand, Y., & Weber, R. (1995). On the Deep Structure of Information Systems. Information Systems Journal, 5(3), 203-223.
  • Bunge, M. A. (1977). Treatise on Basic Philosophy Volume 3: Ontology I – The Furniture of the World. Kluwer Academic Publishers.
  • Recker, J. (2021). Improving the State-Tracking Ability of Corona Dashboards. European Journal of Information Systems, 30(5), 476-495.
  • 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.

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