Risk-averse preferences in a dual-channel supply chain with trade credit and demand uncertainty

Author:

Zhang Chong,Wang Yaxian,Zhang LifanORCID

Abstract

Though it is an important means for enterprises to increase market demand and boost profits, trade credit can carry risks. Besides, risks also result from uncertain market demand. Decision-makers’ attitude towards risk will influence the decisions of enterprises, so it is meaningful to study the impact of risk preference on supply chain performance. This paper explores the effect of risk-averse preferences of the manufacturer or retailer on their delayed payment periods decision and utility when the dual-channel structure is adopted. Customer demands are uncertain and depend on the delayed payment periods that the manufacturer and the retailer may offer to them. Mean-variance model is used to describe the risks due to uncertain demand, and establishes supply chain utility models under four decision-making situations (both are risk-neutral; only the retailer is risk-averse; only the manufacturer is risk-averse; both are risk-averse). According to our study, supply chain members with higher risk aversion are more inclined to prolong delayed payment period. The retailers risk aversion is adverse for her utility, but beneficial to the manufacturers utility, thus a new coordination mechanism is proposed to achieve coordinate when only the retailer is risk averse. We prove that the contract can effectively improve the utility of the whole supply chain. This paper conduces to enrich the emerging literature on relating risk aversion preferences to trade credit period decision and coordination behavior under dual-channel environment.

Funder

National Natural Science Foundation of China

Humanity and Social Science Youth Foundation of Ministry of Education of China

Publisher

EDP Sciences

Subject

Management Science and Operations Research,Computer Science Applications,Theoretical Computer Science

Cited by 5 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

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