Digital Technology for Unmasking Labour Exploitation in Supply Chains
Thinyane, Hannah and Sassetti, Francisca, "Digital Technology for Unmasking Labour Exploitation in Supply Chains" in The Future of Digital Work: The Challenge of Inequality ed. R.K. Bandi, C. R. R., S. Klein, S. Madon and E. Monteiro (Cham: Springer, 2020), 267-280.
Document type:
Book Chapter
Collection:
-
Author Thinyane, Hannah
Sassetti, FranciscaBook Editor R.K. Bandi
C. R. R.
S. Klein
S. Madon
E. MonteiroChapter Title Digital Technology for Unmasking Labour Exploitation in Supply Chains Book Title The Future of Digital Work: The Challenge of Inequality Publication Date 2020-12-03 Place of Publication Cham Publisher Springer Start page 267 End page 280 Language eng Abstract This paper aims to understand how digital technology can support businesses in unmasking labour exploitation in supply chains towards more effective remediation. It presents a case study using empirical evidence collected through expert interviews, document analysis, and a survey. Our findings illustrate that digital technology has the potential to support businesses in identifying cases of labour exploitation in supply chains during social compliance audits if tools are used within enabling environments. This research constitutes an original analysis of the intersection between corporate social responsibility and social compliance auditing, digital technology, and the critical issue of labour exploitation in supply chains. It identifies a flawed logic in expecting workers to use technology to report on exploitation without providing necessary scaffolding or support structures. We identify the role of intermediaries or surrogate accountability as critical in assisting workers and transforming working conditions. UNBIS Thesaurus LABOUR EXPLOITATION
DIGITAL TECHNOLOGYCopyright Holder Springer Copyright Year 2020 Copyright type All rights reserved ISBN 9783030646974 DOI https://doi.org/10.1007/978-3-030-64697-4_20 -
Citation counts Search Google Scholar Access Statistics: 656 Abstract Views - Detailed Statistics Created: Mon, 14 Dec 2020, 13:27:56 JST by Tarinee Youkhaw on behalf of UNU CS