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Transformative rare events: Leveraging digital affordance actualisation

Author

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  • Stefan Henningsson
  • William J. Kettinger
  • Chen Zhang
  • Nageswaran Vaidyanathan

Abstract

This paper conceptualises the COVID-19 pandemic as a “rare event.” Rare events channel managerial attention to magnified issues and foster resource mobilisation and learning. We draw on a case study of a US consumer lender to develop a model explaining how organisations actualise digital affordances as part of their rare event response and, in doing so, leverage the transformative experience towards establishing a “new normal.” The model and its instantiation contribute conceptual understanding and advice for how IS managers may effectively address rare events and, in particular, the COVID-19 pandemic, including the aftermath of its lockdown and the transition to the new business status quo. The model emphasises the importance of understanding the evolution of digital affordances as possessing teleological paths where affordances are developed in steps corresponding to where an organisation focuses its managerial attention, with indirect consequences of possibilities to attend to other objectives enabled by digital technologies. Overall, the model contributes to theory by explaining the role of rare events in the evolution of affordances, including some that can be transformative and introducing the rare events literature into the IS discipline.

Suggested Citation

  • Stefan Henningsson & William J. Kettinger & Chen Zhang & Nageswaran Vaidyanathan, 2021. "Transformative rare events: Leveraging digital affordance actualisation," European Journal of Information Systems, Taylor & Francis Journals, vol. 30(2), pages 137-156, March.
  • Handle: RePEc:taf:tjisxx:v:30:y:2021:i:2:p:137-156
    DOI: 10.1080/0960085X.2020.1860656
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    Cited by:

    1. Petrit Ademi & Monika C. Schuhmacher & Andrew L. Zacharakis, 2023. "Evaluating Affordance-Based Opportunities: A Conjoint Experiment of Corporate Venture Capital Managers’ Decision-Making," Entrepreneurship Theory and Practice, , vol. 47(6), pages 2293-2322, November.
    2. Lash, Michael T. & Sajeesh, S. & Araz, Ozgur M., 2023. "Predicting mobility using limited data during early stages of a pandemic," Journal of Business Research, Elsevier, vol. 157(C).

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