TY - JOUR
T1 - Reviewing the applications of artificial intelligence in sustainable supply chains
T2 - Exploring research propositions for future directions
AU - Naz, Farheen
AU - Agrawal, Rohit
AU - Kumar, Anil
AU - Gunasekaran, Angappa
AU - Majumdar, Abhijit
AU - Luthra, Sunil
N1 - Publisher Copyright:
© 2022 The Authors. Business Strategy and The Environment published by ERP Environment and John Wiley & Sons Ltd.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85126814773&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126814773&partnerID=8YFLogxK
U2 - 10.1002/bse.3034
DO - 10.1002/bse.3034
M3 - Article
AN - SCOPUS:85126814773
SN - 0964-4733
VL - 31
SP - 2400
EP - 2423
JO - Business Strategy and the Environment
JF - Business Strategy and the Environment
IS - 5
ER -