Lopes de Sousa Jabbour Ana Beatriz, Laguir Issam, Stekelorum Rebecca, Gupta Shivam
EM Normandie Business School, Metis Lab, 30-32 Rue Henri Barbusse, 92110, Clichy, France.
Montpellier Business School, 2300 Avenue des Moulins, Montpellier, 34185, France.
J Environ Manage. 2025 Apr;379:124847. doi: 10.1016/j.jenvman.2025.124847. Epub 2025 Mar 6.
Drawing on the Resource-Based View (RBV) and Stakeholder Theory, this study tests construct relationships that bring about means of improving corporate sustainability performance (CSP) via artificial intelligence (AI) technology and accountable socio-environmental practices related to supply chain transparency (SCTrans). It also considers customer pressure for ethical conduct (CPEC). This research hinges on data from 204 French manufacturing firms, which were analyzed using hierarchical regression analysis. It shows that AI is a relevant technology to the RBV, because AI is able to act as a source of competitive advantage by improving both SCTrans and CSP. This research also shows that CPEC is an important contextual factor strengthening linkages between AI, SCTrans and CSP. Some unexpected results of the statistical analyses were also found and discussed. This work offers specific insights on the relationships among AI, SCTrans, CSP, and CPEC that guide the pursuit of more sustainable and transparent supply chains.
本研究借鉴资源基础观（RBV）和利益相关者理论，检验了通过人工智能（AI）技术以及与供应链透明度（SCTrans）相关的可问责社会环境实践来改善企业可持续发展绩效（CSP）的构建关系。研究还考虑了客户对道德行为的压力（CPEC）。本研究基于对204家法国制造企业的数据进行分析，采用层次回归分析方法。研究表明，人工智能是与资源基础观相关的技术，因为人工智能能够通过改善供应链透明度和企业可持续发展绩效，成为竞争优势的来源。本研究还表明，客户对道德行为的压力是加强人工智能、供应链透明度和企业可持续发展绩效之间联系的重要背景因素。研究还发现并讨论了统计分析中的一些意外结果。这项工作为人工智能、供应链透明度、企业可持续发展绩效和客户对道德行为的压力之间的关系提供了具体见解，有助于推动建立更具可持续性和透明度的供应链。
