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Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing

Author

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  • Stella Pachidi

    (Judge Business School, University of Cambridge, Cambridge CB2 1AG, United Kingdom)

  • Hans Berends

    (School of Business and Economics, KIN Center for Digital Innovation, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands)

  • Samer Faraj

    (Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

  • Marleen Huysman

    (School of Business and Economics, KIN Center for Digital Innovation, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands)

Abstract

When actors deem technological change undesirable, they may act symbolically by pretending to comply while avoiding real change. In our study of the introduction of an algorithmic technology in a sales organization, we found that such symbolic conformity led unintendedly to the full implementation of the suggested technological change. To explain this surprising outcome, we advance a regime-of-knowing lens that helps to analyze deep challenges happening under the surface during the process of technology introduction. A regime of knowing guides what is worth knowing, what actions matter to acquire this knowledge, and who has the authority to make decisions around those issues. We found that both the technologists who introduced the algorithmic technology, and the incumbent workers whose work was affected by the change, used symbolic actions to either defend the established regime of knowing or to advocate a radical change. Although the incumbent workers enacted symbolic conformity by pretending to comply with suggested changes, the technologists performed symbolic advocacy by presenting a positive side of the technological change. Ironically, because the symbolic conformity enabled and was reinforced by symbolic advocacy, reinforcing cycles of symbolic actions yielded a radical change in the sales' regime of knowing: from one focused on a deep understanding of customers via personal contact and strong relationships, to one based on model predictions from the processing of large datasets. We discuss the theoretical implications of these findings for the introduction of technology at work and for knowing in the workplace.

Suggested Citation

  • Stella Pachidi & Hans Berends & Samer Faraj & Marleen Huysman, 2021. "Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing," Organization Science, INFORMS, vol. 32(1), pages 18-41, January.
  • Handle: RePEc:inm:ororsc:v:32:y:2021:i:1:p:18-41
    DOI: 10.1287/orsc.2020.1377
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    Cited by:

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    5. Jenna E. Myers, 2024. "Triadic Technology Configuration: A Relational Perspective on Technologists’ Role in Shaping Cloud-Based Technologies," ILR Review, Cornell University, ILR School, vol. 77(3), pages 307-335, May.
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    7. Thomas Grisold & Stefan Seidel & Markus Heck & Nicholas Berente, 2024. "Digital Surveillance in Organizations," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(3), pages 401-410, June.
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