Coordination mechanism for a remanufacturing supply chain based on consumer green preferences-Reference-Cited by-同舟云学术

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Coordination mechanism for a remanufacturing supply chain based on consumer green preferences

Published:2022-06-02 Issue: Volume: Page:1-22
ISSN:1625-8312
Container-title:Supply Chain Forum: An International Journal
language:en
Short-container-title:Supply Chain Forum: An International Journal

Author:

Cui Li¹,Jiang Xiaoyue¹,Zhang Lu²,Zhang Pan³,Mou Jian⁴

Affiliation:

1. School of Business, Dalian University of Technology, Panjin, Liaoning, China

2. School of Economics and Management, Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China

3. China Business Executives Academy, Dalian, Liaoning, China

4. School of Business, Pusan National University, Busan, Republic of Korea

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Management Science and Operations Research,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16258312.2022.2079956

Reference56 articles.

1. Supply Chain Coordination with Contracts

2. Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations

3. Handling of revenue sharing contracts within the scope of game theory

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pricing and Financing Strategies of Dual-Channel Green Supply Chain with Risk Aversion and Consumer Preferences;Sustainability;2024-06-29

2. Unlocking the potential of quality as a core marketing strategy in remanufactured circular products: A machine learning enabled multi-theoretical perspective;International Journal of Production Economics;2024-03

3. Coordination of closed loop supply chains through buyback contract;Supply Chain Forum: An International Journal;2023-05-01

4. Green supply chain: the impact of environmental knowledge on green purchasing intention;Supply Chain Forum: An International Journal;2023-01-10

5. Incipient Fault Detection in Power Distribution System: A Time–Frequency Embedded Deep-Learning-Based Approach;IEEE Transactions on Instrumentation and Measurement;2023

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