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author:

Lin, Zhibing (Lin, Zhibing.) [1] (Scholars:林志炳) | Cai, Weijun (Cai, Weijun.) [2]

Indexed by:

EI Scopus

Abstract:

To explore the impact of uncertain technical efficiency on the decision-making of green supply chain mem-bers, a supply chain model consisting of technical Service Providers, manufacturers and retailers was constructed. The results showed that: ©If the manufacturer did not have the conditions for independent innovation, the manufacturer would only purchase technology when the R&-D efficiency was high; if the manufacturer had the conditions for independent innovation, when the average level of green technology and R&-D efficiency were low or moderate, the manufacturer would choose to purchase technology, otherwise it would choose independent innovation; moreover, the purchase technology strategy could better cope with the impact of uncertain technical efficiency under certain conditions. © Under the independent innovation strategy, the improvement of the average level of green technology would increase the green level of manufacturers and have a positive effect on manufacturers and retailers. The in-crease of green technology volatility and risk aversion would have a negative impact on manufacturers and retailers. ©Under the purchase technology strategy, the degree of risk aversion, the average level and volatility of green technology had a positive impact on technology Service Providers and retailers, but might have a negative impact on manufacturers. © 2025 CIMS. All rights reserved.

Keyword:

Decision making Green development Green economy Green manufacturing Purchasing Sales Smart manufacturing

Community:

  • [ 1 ] [Lin, Zhibing]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Cai, Weijun]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [lin, zhibing]school of economics and management, fuzhou university, fuzhou; 350116, china;;

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Source :

Computer Integrated Manufacturing Systems, CIMS

ISSN: 1006-5911

Year: 2025

Issue: 1

Volume: 31

Page: 316-329

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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