Green Supply Chain Decisions and Revenue-Sharing Contracts under Manufacturers’ Overconfidence

Author:

Zhou Hui12,Liu Lu1,Jiang Weifan3,Li Shengsheng4ORCID

Affiliation:

1. Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China

2. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China

3. School of Business Administration, Nanchang Institute of Technology, Nanchang, China

4. School of Economics, Anhui University, Hefei 230610, China

Abstract

Overconfidence is a prevalent and potentially catastrophic behaviour in judgment and decision-making. In this paper, we define manufacturers’ overconfidence as a belief bias that they overestimate the impact of product greenness on demand and the accuracy of demand uncertainty. We build a game theory model based on overconfident beliefs, address the decisions of product greenness and price, and discuss the impact of manufacturers’ overconfidence on supply chain decisions and profits. For the adverse effects brought by overconfidence, we further investigate whether revenue-sharing contracts can coordinate green supply chains. We find three new insights. (1) Manufacturers’ overconfidence leads to higher product greenness, a higher wholesale price, and a greater retail price, but resulting in lower profits. (2) Under the cooperation based on revenue-sharing contracts, product greenness is greater, and wholesale price is lower than the case without cooperation. The greenness increases with the manufacturer’s overconfidence, but counter-intuitively, the wholesale price is not affected by overconfidence. (3) Both the overconfident manufacturer and the retailer have an incentive to reach a revenue-sharing contract. Retailers benefit from collaboration, and overconfident manufacturers assume that retailers can make more profit through revenue sharing, but this model does not exist.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Mathematics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3