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Cited by 490

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Communities of Coping: Collective Emotional Labour in Service Work

Korczynski, Marek·2003·Organization

Abstract

This article argues that communities of coping among frontline service workers are an important part of what Hochschild has called `collective emotional labour' in service work. The analysis is framed in a sociological understanding of the customer as a key source of both pleasure and pain for service workers. Irate and abusive customers, who are systematically part of the social relations of the service workplace, may occasion real pain to service workers. The structure of workers' social situation means that they are likely to turn to each other to cope with this pain, forming informal communities of coping. Drawing on extensive research in four call centres in Australia and the USA, the article highlights this process in action. The communities of coping were an important social process in these workplaces, creating informal, dense cultures among the workforce. These cultures had important implications for how far the social relations of the workplace were open to management control.

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Metadata

Authors
Korczynski, M.
Venue
Organization
Published
2003-02
Volume
10
Issue
1
Pages
55-79
ISSN
  • 1350-5084 (ISSN-L)
  • 1461-7323
OpenAlex
W2113900621
Cited by
490
References
30
FWCI
29.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Communities of Coping: Collective Emotional Labour in Service Work. https://app.cochat.ai/papers/10.1177/1350508403010001479
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Korczynski, M. (2003). Communities of Coping: Collective Emotional Labour in Service Work. Organization. https://doi.org/10.1177/1350508403010001479

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.