TY - JOUR
T1 - Artificial Intelligence in Supply Chain Management
T2 - A Systematic Literature Review
AU - Toorajipour, Reza
AU - Sohrabpour, Vahid
AU - Nazarpour, Ali
AU - Oghazi, Pejvak
AU - Fischl, Maria
N1 - Published online 25 September 2020.
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Supply chain management
KW - Systematic literature review
KW - Artificial intelligence
KW - Supply chain management
KW - Systematic literature review
U2 - 10.1016/j.jbusres.2020.09.009
DO - 10.1016/j.jbusres.2020.09.009
M3 - Review article
SN - 0148-2963
VL - 122
SP - 502
EP - 517
JO - Journal of Business Research
JF - Journal of Business Research
ER -