TY - GEN
T1 - Unveiling Roadblocks to ESG Compliance in Supply Chain Management
AU - Tsang, Y. P.
AU - Li, Yanlin
AU - Wong, Cho Yu
AU - Ongkunaruk, Pornthipa
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This research delves into the barriers hindering the effective integration of Environmental, Social, and Governance (ESG) principles within the supply chain management. Despite the growing regulatory demands and societal expectations for sustainable operations, numerous challenges stifle ESG adoption in supply chain management. Utilizing the group-based fuzzy best worst method, this study evaluates the relative significance of these barriers through expert pairwise comparisons. The findings reveal that unclear ESG metrics, accountability, and insufficient governmental support are the predominant obstacles. This paper aims to provide stakeholders with a deeper understanding of these challenges and suggest actionable strategies for enhancing ESG implementation in logistics, thereby contributing to the broader goals of sustainable development.
AB - This research delves into the barriers hindering the effective integration of Environmental, Social, and Governance (ESG) principles within the supply chain management. Despite the growing regulatory demands and societal expectations for sustainable operations, numerous challenges stifle ESG adoption in supply chain management. Utilizing the group-based fuzzy best worst method, this study evaluates the relative significance of these barriers through expert pairwise comparisons. The findings reveal that unclear ESG metrics, accountability, and insufficient governmental support are the predominant obstacles. This paper aims to provide stakeholders with a deeper understanding of these challenges and suggest actionable strategies for enhancing ESG implementation in logistics, thereby contributing to the broader goals of sustainable development.
KW - Barrier
KW - ESG
KW - pairwise comparison
KW - supply chain management
KW - sustainability
UR - http://www.scopus.com/inward/record.url?scp=85218066206&partnerID=8YFLogxK
U2 - 10.1109/IEEM62345.2024.10856999
DO - 10.1109/IEEM62345.2024.10856999
M3 - Conference article published in proceeding or book
AN - SCOPUS:85218066206
SN - 9798350386103
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 21
EP - 25
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024
PB - IEEE Computer Society
T2 - 2024 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024
Y2 - 15 December 2024 through 18 December 2024
ER -