Evans, Leighton and Kitchin, Rob (2017) A smart place to work? Big data systems, labour, control, and modern retail stores: The Programmable City Working Paper 34. Working Paper. The Programmable City Working Paper.
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Official URL: https://osf.io/preprints/socarxiv/z9dgc
Abstract
The modern retail store is a complex coded assemblage and data-intensive environment, its operations and management mediated by a number of interlinked big data systems. This paper draws on an ethnography of a superstore in Ireland to examine how these systems modulate the functioning of the store and working practices of employees. It was found that retail work involves a continual movement between a governance regime of control reliant on big data systems which seek to regulate and harnesses formal labour and automation into enterprise planning, and a disciplinary regime that deals with the symbolic, interactive labour that workers perform and acts as a reserve mode of governmentality if control fails. This continual movement is caused by new systems of control being open to vertical and horizontal fissures. While retail functions as a coded assemblage of control, systems are too brittle to sustain the code/space and governmentality desired.
Item Type: | Monograph (Working Paper) |
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Additional Information: | Published as an open access pre-print on SocArXiv: https://osf.io/preprints/socarxiv/z9dgc. Published under a CC-By Attribution 4.0 International License. The research funding for this paper was provided by a European Research Council Advanced Investigator Award, ‘The Programmable City’ (ERC-2012-AdG-323636). |
Keywords: | retail; work; big data; code/space; governmentality; discipline; control; |
Academic Unit: | Faculty of Social Sciences > Research Institutes > National Institute for Regional and Spatial analysis, NIRSA |
Item ID: | 9239 |
Identification Number: | 10.17605/OSF.IO/Z9DGC |
Depositing User: | Prof. Rob Kitchin |
Date Deposited: | 09 Feb 2018 17:03 |
Publisher: | The Programmable City Working Paper |
Funders: | European Research Council Advanced Investigator Award |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/9239 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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