The DOI matches its Crossref record.
‘Under the Clock’: Trade Union Responses to Cmputerised Control in US and Australian Grocery Warehousing
Abstract
In contrast to optimistic interpretations of contemporary work reorganisation, the example of computerised work monitoring in US and Australian grocery warehousing highlights a far more negative picture of work intensification, job stress and low trust relations. Despite significant variation in trade union response, the article argues such examples reinforce the need for strong and independent trade union regulation to limit the worst excesses of workplace rationalisation.
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In the citing paper
“While Amazon represents technological innovation through its digital platform architecture, notably its Warehouse Management System, the evidence provided by Wright and Lund (1998) on computerised control and discipline in grocery distribution undoubtedly presage the former.”
From Reflections on Sociotechnical Change: New Directions for and Continuities in Research on New Technology, Work, and Employment (2026) · cites this paper as Wright and Lund (1998)
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Citations
Cited by
Howcroft, D., Lucio, M. M., & Taylor, P. (2026) · New Technology, Work and Employment · doi:10.1111/ntwe.70049 · Cited by 1
Metadata
- Authors
- Wright, C., & Lund, J.
- Venue
- New Technology, Work and Employment
- Publisher
- Wiley
- Published
- 1998-03
- Volume
- 13
- Issue
- 1
- Pages
- 3-15
- ISSN
- 0268-1072
- 1468-005X
- Cited by
- 20
- References
- 0
- Language
- en
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- CoChat. (2026). Citation check: ‘Under the Clock’: Trade Union Responses to Cmputerised Control in US and Australian Grocery Warehousing. https://app.cochat.ai/papers/10.1111/1468-005x.00034
- The paper
- Wright, C., & Lund, J. (1998). ‘Under the Clock’: Trade Union Responses to Cmputerised Control in US and Australian Grocery Warehousing. New Technology, Work and Employment. https://doi.org/10.1111/1468-005x.00034
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.