Supply Chain Risk Identification: Signaling Companies' Social Sustainability Reputation

Ana Beatriz Lopes de Sousa Jabbour (), Paula de Camargo Fiorini, Hengky Latan, Issam Laguir and Charbel Jose Jabbour Chiappetta
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Ana Beatriz Lopes de Sousa Jabbour: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Paula de Camargo Fiorini: UNESP - Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University
Issam Laguir: Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School

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Abstract: Over the past decades, supply chains have become global, longer, and consequently more complex to manage and control. This evolving context has shaped the current business landscape, which increasingly demands socio-environmental accountability from firms. This paper addresses these emerging business requirements, making an original contribution to its field by drawing on stakeholder and signaling theories to identify whether the adoption of supply chain risk identification practices exerts a positive effect upon firms' social performance. Additionally, it assesses the role of digital technology in strengthening this relationship. A survey of manufacturing firms was conducted to gather data, which was analyzed via covariance-based structural equation modeling and AMOS 28.0 software. The research found that practices intended to identify supply chain risks make a considerable contribution towards signaling a positive social sustainability reputation and highlighting the application of digital technology to help attain better social performance. Stakeholder saliency is an aspect that still requires further research.

Date: 2024
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Published in Journal of Cleaner Production, 2024, 478, ⟨10.1016/j.jclepro.2024.143817⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04894963

DOI: 10.1016/j.jclepro.2024.143817

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