Abstract
Organizations increasingly use people analytics tools to monitor and control their workforce. Yet, we know little about how such technologies support management in making informed decisions about their workers. We know even less about how biometric data gets collected and used in organizations, and with what consequences. Unlike other types of data processed by people analytics tools representing work performance, biometric data represents bodily performance. Drawing on a 16-month ethnographic study, we address this gap by exploring how biometric data is used to manage and control people in an elite sport setting. In particular, we follow how coaches and athletes negotiate over complementary rhythms, what to make visible and the degree of context required to make sense of biometric data. Our study reveals that biometric data, being temporal, intimate, and decontextualized, necessitates a close relationship between managers and workers. More specifically, we illuminate a new form of control enacted through the use of biometric data: a shared control of the body, where managers and workers together control the body as a primary object of work performance. Encompassing our findings as part of a theoretical framework, we highlight the implications of our discoveries for theory on organizational control and people analytics.
| Original language | English |
|---|---|
| Pages (from-to) | 152-179 |
| Number of pages | 28 |
| Journal | Academy of Management Discoveries |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jun 2025 |
Bibliographical note
Published online: 3 June 2025.Publisher Copyright:
© Academy of Management Discoveries 2025, Vol. 11, No. 2, 152–179.
Funding
83rd Annual Meeting of the Academy of Management and several Academy of Management Discoveries Paper Development Workshops. This research was supported by a research grant from the Norges Forskningsråd (299178). Correspondence regarding this article should be directed to Lorna Anne Downie at [email protected]. Accepted by Paolo Aversa
| Funders | Funder number |
|---|---|
| Norges Forskningsråd | 299178 |
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