Coordination of a supply chain with Nash bargaining fairness concerns

讨价还价问题 微观经济学 供应链 业务 纳什均衡 博弈论 经济 计算机科学 营销
作者
Zhongping Li,Jianjun Wang,Sandun C. Perera,Jim Shi
出处
期刊:Transportation Research Part E-logistics and Transportation Review [Elsevier BV]
卷期号:159: 102627-102627 被引量:86
标识
DOI:10.1016/j.tre.2022.102627
摘要

This study incorporates fairness concerns in a dual-channel supply chain where a single manufacturer sells its product to consumers through a single retailer. The objective is to investigate the implication of fairness in conjunction with channel coordination and contracting mechanisms. To this end, we develop a game-theoretic utility model where the Nash bargaining fairness reference is leveraged to capture the impact of fairness preference on three widely used contracting mechanisms—wholesale price, buy-back, and revenue-sharing. First, we derive the optimal order quantity for both centralized and decentralized channels, and show that channel coordination is easier than that under a conventional channel when the retailer is more concerned about fairness, and his bargaining power is not strong. Second, for buy-back and revenue-sharing contracts, we acquire the equilibrium wholesale price to achieve supply chain coordination. Our analysis shows that the implication of fairness-concerns of channel members can enhance the whole supply chain performance to some extent, especially, when the manufacturer is more concerned about fairness and the bargaining power is sufficiently strong, or the retailer is more concerned with fairness and the bargaining power is relatively weak. Finally, numerical studies are conducted to quantify the impact of the fairness concerns and retailer’s bargaining power on the coordination performance, the equilibrium wholesale price, and the channel efficiency. Some useful managerial insights are provided. For example, when the buy-back and revenue-sharing coordination contracts are employed, the fairness concerns could improve the channel performance under certain conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
心灵尔安发布了新的文献求助10
1秒前
xt完成签到,获得积分10
1秒前
2秒前
西方印迹大王完成签到 ,获得积分10
2秒前
Holder发布了新的文献求助10
3秒前
CodeCraft应助liva采纳,获得10
4秒前
李健应助STP顶峰相见采纳,获得10
5秒前
嘿嘿应助等待书桃采纳,获得10
5秒前
5秒前
赘婿应助等待书桃采纳,获得10
5秒前
爆米花应助等待书桃采纳,获得10
5秒前
5秒前
Orange应助等待书桃采纳,获得10
5秒前
领导范儿应助等待书桃采纳,获得10
5秒前
6秒前
6秒前
wanci应助Once采纳,获得10
7秒前
可爱的函函应助liva采纳,获得10
7秒前
彭于晏应助生气的鸡蛋采纳,获得10
7秒前
ttttttttttt完成签到,获得积分10
8秒前
9秒前
起风了发布了新的文献求助10
9秒前
9秒前
斯文败类应助liva采纳,获得10
10秒前
10秒前
bkagyin应助阿土采纳,获得10
11秒前
haihaiov完成签到,获得积分10
11秒前
12秒前
AlinaLee完成签到,获得积分10
13秒前
Horizon应助哈哈哈哈哈采纳,获得10
13秒前
粽子大王完成签到 ,获得积分10
14秒前
公子渔发布了新的文献求助10
14秒前
见澈发布了新的文献求助10
14秒前
烟花应助歪比巴卜采纳,获得10
14秒前
niniyiya发布了新的文献求助10
15秒前
ZL发布了新的文献求助10
16秒前
无花果应助liva采纳,获得10
16秒前
传奇3应助xiaochuan采纳,获得30
17秒前
17秒前
情怀应助liva采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7618235
求助须知:如何正确求助?哪些是违规求助? 9193500
关于积分的说明 19704332
捐赠科研通 7190711
什么是DOI,文献DOI怎么找? 3272203
关于科研通互助平台的介绍 2434900
邀请新用户注册赠送积分活动 2267412