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Cited by 546

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

'Fun and surveillance': the paradox of high commitment management in call centres

Kinnie, Nick, Hutchinson, Sue, Purcell, John·2000·The International Journal of Human Resource Management

Abstract

Much of the research into telephone call centres has focused on the coercive employment systems which are adopted in these organizations. This appears to contrast with the high levels of customer service and satisfaction which are often required for them to be successful. Our research, which is based on two case studies of call centres studied in depth, challenges this 'satanic mills' image. We explore the ways in which both companies sought to balance the pressures in the product and labour markets and employee needs to develop strategies which combined elements of commitment and control. They developed sophisticated human resource practices, which resembled the high commitment management approach, while, at the same time, maintaining a highly controlled and measured work environment. Consequently, there was a greater alignment between their HR practices and control systems, the needs of employees and the high quality of interactions with customers expected. This suggests that high commitment practices are not automatically associated with extensive employee discretion, as has been argued in the manufacturing sector. HR practices of this kind can be used to offset some of the worst features of call centre working. These findings illustrate the variety of HR practices in call centres and suggest some possible reasons for this diversity.

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Metadata

Authors
Kinnie, N., Hutchinson, S., & Purcell, J.
Venue
The International Journal of Human Resource Management
Published
2000-01
Volume
11
Issue
5
Pages
967-985
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
OpenAlex
W2153319876
Cited by
546
References
1
FWCI
31.77
Type
journal article
Language
en
Open access
closed

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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.