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Cited by 312

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Becoming a Character for Commerce: Emotion Labor, Self-Subordination, and Discursive Construction of Identity in a Total Institution

Tracy, Sarah J.·2000·Management Communication Quarterly

Abstract

This study of cruise ship activities’ directors analyzes emotion labor, self-subordination, and discursive construction of identity in the context of a total institution. It opens with a review of social theories of emotion and emotion work and Foucauldian concepts of power and identity. The case, based on fieldnotes, documents, and interview data, analyzes (a) the arbitrary nature of emotion rules; (b) the dispersion of emotion control among supervisors, passengers, peers, and the self; (c) employee self-subordination and privatization of burnout; and (d) identity as coconstituted through resistance and consent to emotion labor norms. The article concludes with a discussion of theoretical and practical implications.

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Crossref · 10.1177/0893318900141004

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Metadata

Authors
Tracy, S. J.
Venue
Management Communication Quarterly
Published
2000-08
Volume
14
Issue
1
Pages
90-128
ISSN
  • 0893-3189 (ISSN-L)
  • 1552-6798
OpenAlex
W1983485661
Cited by
312
References
2
FWCI
19.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Becoming a Character for Commerce: Emotion Labor, Self-Subordination, and Discursive Construction of Identity in a Total Institution. https://app.cochat.ai/papers/10.1177/0893318900141004
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Tracy, S. J. (2000). Becoming a Character for Commerce: Emotion Labor, Self-Subordination, and Discursive Construction of Identity in a Total Institution. Management Communication Quarterly. https://doi.org/10.1177/0893318900141004

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.