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author:

Zeng, Changlin (Zeng, Changlin.) [1] | Zhang, Zhaopu (Zhang, Zhaopu.) [2] | Zeng, Tingting (Zeng, Tingting.) [3]

Indexed by:

EI

Abstract:

This paper studies the cooperative mechanism for a three-echelon supply chain with remanufacturing outsourcing comparing a supplier, a manufacturer, and a third-party remanufacturer, wherein we take the relative fairness concerns into consideration. The Stackelberg game theory is introduced to analyze the best values for the supply chain and each member. Nash bargaining solution is used as the relative fairness-concerned reference to discuss the corresponding optimal solutions of these models. By determining and comparing the equilibrium solutions across the five models, we discover that given the Nash bargaining fairness-concerned behavior, the system profits in the completely decentralized and three cooperative scenarios are lower than they are for products in the completely centralized decision model. The results show that in the centralized channel, the optimal profit and market demand in the three-echelon supply chain are maximized. Furthermore, it turns out that a cooperative mechanism can bring great benefits to its performance. © 2021 Antai College of Economics and Management, Shanghai Jiao Tong University.

Keyword:

Game theory Outsourcing Profitability Supply chains

Community:

  • [ 1 ] [Zeng, Changlin]Antai College of Economics and Management, Shanghai Jiao Tong University, Huashan Road, Shanghai; 200030, China
  • [ 2 ] [Zhang, Zhaopu]Antai College of Economics and Management, Shanghai Jiao Tong University, Huashan Road, Shanghai; 200030, China
  • [ 3 ] [Zeng, Tingting]School of Economics and Management, Fuzhou University, Fujian, Fuzhou, China

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Source :

Journal of Management Analytics

ISSN: 2327-0012

Year: 2022

Issue: 2

Volume: 9

Page: 185-210

5 . 9

JCR@2022

3 . 6 0 0

JCR@2023

ESI HC Threshold:62

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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