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Towards an Explainable Artificial Intelligence in the Realm of Supply Chain Management: A Systematic Literature Review
Abstract
Explainable Artificial Intelligence (XAI) is increasingly adopted by organizations to innovate, and this is ever more reflected in scholarly work. To illustrate, assess and map research at the intersection of XAI and supply chain management (SCM), we performed a Systematic Literature Review (SLR) of published work indexed in the Clarivate Web of Science (WOS) and Elsevier Scopus databases (the final sample includes 117 articles). A content analysis was deployed to map the focal field in terms of dominant topics and their evolution over time. By deploying the main applications of XAI in the realm of supply chain management, and drivers and barriers, we generate insights on the literature at the intersection of XAI and SCM research. We leverage the SLR findings to provide an updated synopsis of extant scientific work on the focal research area and to develop a future research agenda which sheds light on the drivers and outcomes of XAI adoption for SCM. We conclude this paper by developing an agenda for future research.
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