Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions
通过系统文献综述和结构主题建模，分析了353篇关于人工智能在可持续供应链中应用的文章，识别了新兴主题和研究趋势，为研究人员和实践者提供了基于AI的可持续供应链模型开发框架及未来研究方向。
Abstract The sustainable supply chain (SSC) has received significant attention worldwide in the last few years because it integrates sustainability dimensions into its process. Recent artificial intelligence (AI)‐based advancements in technology make it possible to overcome many problems associated with supply chain (SC) networks. The current study was performed to explore the role of AI in establishing an SSC. The research contribution in the field of AI and SSC was examined through a systematic literature review. A total of 353 articles were gathered from the Scopus database in the selected research field. A big data‐based approach, namely, structural topic modelling (STM), was applied to generate emerging thematic topics from shortlisted articles of AI in SSC. Moreover, using R package, a bibliometric analysis was conducted to examine the research trends in the field of AI in SSC. The research trends were then analysed, with generated thematic topics discussed. The proposed research framework can help researchers and practitioners to develop an SSC model using AI‐based techniques. Propositions for future research are given and implications are suggested.