Artificial intelligence in supply chain management: A systematic literature review

Reza Toorajipour, Vahid Sohrabpour, Ali Nazarpour, Pejvak Oghazi*, Maria Fischl

*Motsvarande författare för detta arbete

Forskningsoutput: TidskriftsbidragÖversiktsartikelPeer review

32 Citeringar (Scopus)

Sammanfattning

This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain management (SCM) through a systematic review of the existing literature. To address the current scientific gap of AI in SCM, this study aimed to determine the current and potential AI techniques that can enhance both the study and practice of SCM. Gaps in the literature that need to be addressed through scientific research were also identified. More specifically, the following four aspects were covered: (1) the most prevalent AI techniques in SCM; (2) the potential AI techniques for employment in SCM; (3) the current AI-improved SCM subfields; and (4) the subfields that have high potential to be enhanced by AI. A specific set of inclusion and exclusion criteria are used to identify and examine papers from four SCM fields: logistics, marketing, supply chain and production. This paper provides insights through systematic analysis and synthesis.
OriginalspråkEngelska
Referentgranskad vetenskaplig tidskriftJournal of Business Research
Volym122
Sidor (från-till)502-517
Antal sidor16
ISSN0148-2963
DOI
StatusPublicerad - 2021
MoE-publikationstypA2 Översiktsartikel i en vetenskaplig tidskrift

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