Theorising worker voice for supply chain justice – communication, representation and recognition

Victoria Stephens, Amy Victoria Benstead, Helen Goworek, Erica Charles, Dane Lukic

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Abstract

Purpose
The paper explores the notion of worker voice in terms of its implications for supply chain justice. The paper proposes the value of the recognition perspective on social justice for framing workers’ experiences in global supply chains and identifies opportunities for the advancement of the worker voice agenda with recognition justice in mind.

Design/methodology/approach
The paper adopts a conceptual approach to explore the notion of worker voice in supply chains in terms of the recognition perspective on social justice.

Findings
Sustainable supply chain management (SSCM) scholarship has considered worker voice in terms of two key paradigms, which we term communication and representation. To address recognition justice for workers in global supply chains, the worker voice agenda must consider designing worker voice mechanisms to close recognition gaps for workers with marginalised identities; the shared responsibilities of supply chain actors to listen alongside the expectation of workers to use their voice; and the expansion of the concept of worker voice to cut across home-work boundaries.

Originality/value
The paper offers conceptual clarity on the emerging notion of worker voice in SSCM and is the first to interrogate the implications of recognition justice for the emergent worker voice agenda. It articulates key opportunities for future research to further operationalise worker voice upon a recognition foundation.
Original languageEnglish
Number of pages24
JournalInternational Journal of Operations and Production Management
Early online date8 Feb 2024
DOIs
Publication statusE-pub ahead of print - 8 Feb 2024

Keywords

  • Conceptual
  • Worker Voice
  • Recognition
  • Social Justice
  • Sustainable Supply Chain
  • Worker voice
  • Social justice
  • Sustainable supply chain

ASJC Scopus subject areas

  • General Decision Sciences
  • Management of Technology and Innovation
  • Strategy and Management

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