Make way for the algorithms: Symbolic actions and change in a regime of knowing

Stella Pachidi, Hans Berends, Samer Faraj, Marleen Huysman

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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.

Original languageEnglish
Pages (from-to)18-41
Number of pages24
JournalOrganization Science
Volume32
Issue number1
Early online date20 Oct 2020
DOIs
Publication statusPublished - Jan 2021

Bibliographical note

Funding Information:
The authors thank the informants from TelCo, whose openness was invaluable for this study; Sarah Kaplan and the reviewers for valuable guidance; Inge van de Weerd for support during the data collection process; Michael Barrett, Paul Carlile, Jennifer Howard-Grenville, Matthew Jones, Kate Kellogg, Davide Nicolini, Wanda Orlikowski, Paul Tracey, and Haridimos Tsoukas for helpful comments on earlier drafts of this paper; and multiple participants of the 2019 KIN Summer School, Organisational Theory and Information Systems paper development session at Cambridge Judge Business School, ISM Seminar at Warwick Business School, MG500 seminar at London School of Economics, and KINcubator at Vrije Universiteit Amsterdam.

Funding Information:
Funding: S. Pachidi acknowledges the support of the Judge Business School internal grants scheme, and S. Faraj acknowledges the support of the Canada Research Chairs program.

Publisher Copyright:
Copyright: © 2020 INFORMS

Funding

The authors thank the informants from TelCo, whose openness was invaluable for this study; Sarah Kaplan and the reviewers for valuable guidance; Inge van de Weerd for support during the data collection process; Michael Barrett, Paul Carlile, Jennifer Howard-Grenville, Matthew Jones, Kate Kellogg, Davide Nicolini, Wanda Orlikowski, Paul Tracey, and Haridimos Tsoukas for helpful comments on earlier drafts of this paper; and multiple participants of the 2019 KIN Summer School, Organisational Theory and Information Systems paper development session at Cambridge Judge Business School, ISM Seminar at Warwick Business School, MG500 seminar at London School of Economics, and KINcubator at Vrije Universiteit Amsterdam. Funding: S. Pachidi acknowledges the support of the Judge Business School internal grants scheme, and S. Faraj acknowledges the support of the Canada Research Chairs program.

Keywords

  • Algorithmic technologies
  • Analytics
  • Artificial intelligence
  • Digital transformation
  • Knowing
  • Knowledge
  • Symbolic action
  • Technology introduction
  • Work

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