Generative AI usage and sustainable supply chain performance: A practice-based view

Lixu Li, Wenwen Zhu*, Lujie Chen, Yaoqi Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The emergence of generative AI presents numerous potential solutions to address challenges in sustainable supply chain management (SCM). However, not all firms can effectively master the methods of using generative AI and realize potential benefits. To address this dilemma, we adopt a practice-based view (PBV) to examine generative AI usage's effect on sustainable supply chain performance (SSCP). Analyzing survey data from 213 Chinese manufacturing firms, we identify a positive relationship between generative AI usage and SSCP. Moreover, two types of sustainable supply chain practices—green supply chain collaboration (GSCC) and circular economy implementation (CEI)——emerge as serial mediators connecting this relationship. We contribute to existing AI-enabled SCM research by elucidating the potential mediation mechanisms underlying the link between generative AI usage and SSCP. We also offer insightful implications for firms adapting to new norms in global SCM.

Original languageEnglish
Article number103761
JournalTransportation Research Part E: Logistics and Transportation Review
Volume192
DOIs
Publication statusPublished - Dec 2024

Keywords

  • Circular economy implementation
  • Generative AI usage
  • Green supply chain collaboration
  • Practice-based view
  • Sustainable supply chain performance

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