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Cited by 302

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

‘Being yourself ’ in the electronic sweatshop: New forms of normative control

Fleming, Peter, Sturdy, Andrew·2011·Human Relations

Abstract

This article extends research about high-commitment management practices in tightly controlled work environments typified by the call centre. One promising research avenue suggests that normative management systems in such contexts, involving ‘fun’ exercises and culture programmes, etc., are more about distracting employee attention away from other, more taxing controls. This article develops such an approach by exploring the specific nature and conditions of such distraction. An empirical study of a call centre in which employees were encouraged to ‘ just be themselves’ (in relation to lifestyle differences, sexuality, diverse identities, etc.) reveals how the distractions are partly informed by the dysfunctions of existing technical, bureaucratic and conventional cultural controls, all of which homogenize workers. Furthermore, the new regime not only serves to distract employees, but proves instrumental in capturing their sociality, energy and ‘authentic’ or ‘non-work’ personalities as emotional labour. At the same time, it gives rise to some contestation and less individualistic forms of authenticity. These outcomes have wider implications for our understanding of worker autonomy in and around hybrid control systems.

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Metadata

Authors
Fleming, P., & Sturdy, A.
Venue
Human Relations
Published
2010-09-23
Volume
64
Issue
2
Pages
177-200
ISSN
  • 0018-7267 (ISSN-L)
  • 1741-282X
OpenAlex
W2148765393
Cited by
302
References
5
FWCI
17.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ‘Being yourself ’ in the electronic sweatshop: New forms of normative control. https://app.cochat.ai/papers/10.1177/0018726710375481
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Fleming, P., & Sturdy, A. (2011). ‘Being yourself ’ in the electronic sweatshop: New forms of normative control. Human Relations. https://doi.org/10.1177/0018726710375481

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.