TY - JOUR
T1 - Green supply chain innovation
T2 - Emergence, adoption, and challenges
AU - Feng, Yunting
AU - Lai, Kee hung
AU - Zhu, Qinghua
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China ( 72192833 / 72192830 , 72102036 ), Research Grants Council of Hong Kong ( GRF-15500721 ), Shanghai Sailing Program ( 21YF1401000 ), and The Fundamental Research Funds for the Central Universities ( 2232021E-11 , 2232018H-09 ). The authors are listed in alphabetical order and they contribute equally to this work.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/6
Y1 - 2022/6
N2 - Alongside many studies on greening efforts for supply chain activities, there is a research gap in understanding the emergence and adoption of green supply chain innovation (GSCI) in this digital-enabled Industry 4.0 era. This study defines GSCI as innovation practices by manufacturers that apply emergent digital technologies to integrate environmental concerns into supply chain management activities. GSCI is evolving as a new paradigm of green supply chain management (GSCM) to elevate its five underlying implementation dimensions. Manufacturing enterprises can benefit from digital technology applications to enhance efficiency of environmental outcomes of their GSCM activities, including internal environmental management, green purchasing, customer cooperation, inventory recovery, and eco-design. The GSCI concept gains growing attention in research and practice with popular digital technologies such as artificial intelligence, blockchain, cloud computing, and big data analytics increasingly adopted by manufacturers to improve their GSCM. So far, the literature lacks studies on GSCI to examine the concept, investigate the practices, explain the adoption motivations, consolidate and extend the knowledge on its adoption and diffusion. Based on a comprehensive review of GSCM literature, we explain the innovation for GSCM, and discuss the GSCI concept and practice focusing on digital technology applications with examples, and identify the challenges and opportunities for GSCI adoption and diffusion. We extend knowledge for this emerging GSCM field on digital technology applications.
AB - Alongside many studies on greening efforts for supply chain activities, there is a research gap in understanding the emergence and adoption of green supply chain innovation (GSCI) in this digital-enabled Industry 4.0 era. This study defines GSCI as innovation practices by manufacturers that apply emergent digital technologies to integrate environmental concerns into supply chain management activities. GSCI is evolving as a new paradigm of green supply chain management (GSCM) to elevate its five underlying implementation dimensions. Manufacturing enterprises can benefit from digital technology applications to enhance efficiency of environmental outcomes of their GSCM activities, including internal environmental management, green purchasing, customer cooperation, inventory recovery, and eco-design. The GSCI concept gains growing attention in research and practice with popular digital technologies such as artificial intelligence, blockchain, cloud computing, and big data analytics increasingly adopted by manufacturers to improve their GSCM. So far, the literature lacks studies on GSCI to examine the concept, investigate the practices, explain the adoption motivations, consolidate and extend the knowledge on its adoption and diffusion. Based on a comprehensive review of GSCM literature, we explain the innovation for GSCM, and discuss the GSCI concept and practice focusing on digital technology applications with examples, and identify the challenges and opportunities for GSCI adoption and diffusion. We extend knowledge for this emerging GSCM field on digital technology applications.
KW - Adoption
KW - Digital technology
KW - Environmental
KW - Green supply chain
KW - Innovation
UR - http://www.scopus.com/inward/record.url?scp=85128817542&partnerID=8YFLogxK
U2 - 10.1016/j.ijpe.2022.108497
DO - 10.1016/j.ijpe.2022.108497
M3 - Journal article
AN - SCOPUS:85128817542
SN - 0925-5273
VL - 248
JO - International Journal of Production Economics
JF - International Journal of Production Economics
M1 - 108497
ER -
