Social responsibility allocation in two-echelon supply chains: Insights from wholesale price contracts

企业社会责任 供应链 利润(经济学) 上游(联网) 业务 微观经济学 产业组织 社会责任 下游(制造业) 经济 营销 计算机科学 生态学 计算机网络 生物
作者
Debing Ni,Kevin Li,Tang Xiao-wo
出处
期刊:European Journal of Operational Research [Elsevier BV]
卷期号:207 (3): 1269-1279 被引量:190
标识
DOI:10.1016/j.ejor.2010.06.026
摘要

Corporate social responsibility (CSR) is considered in a two-echelon supply chain consisting of an upstream supplier and a downstream firm that are bound by a wholesale price contract. CSR performance (the outcome of CSR conduct) of the whole supply chain is gauged by a global variable and the associated cost of achieving this CSR performance is only incurred by the supplier with an expectation of being shared with the downstream firm via the wholesale price contract. As such, the key issue is to determine who should be allocated as the responsibility holder with the right of offering the contract and how this right should be appropriately restricted. Game-theoretical analyses are carried out on six games, resulting from different interaction schemes between the supplier and the firm, to derive their corresponding equilibriums. Comparative institutional analyses are then conducted to determine the optimal social responsibility allocation based on both economic and CSR performance criteria. Main results are furnished in a series of propositions and their implications to the real-world business practice are discussed. The key findings are threefold: under the current model settings: (1) the optimal allocation scheme is to assign the supplier as the responsibility holder with appropriate restrictions on the corresponding rights to determine the wholesale price; (2) inherent conflict exists between the economic and CSR performance criteria and, hence, the two maxima cannot be achieved simultaneously; and (3) although integrative channel profit is not attainable, the system-wide profit will be improved by implementing optimal social responsibility allocation schemes.
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
斯文败类应助健忘的幻儿采纳,获得10
3秒前
今晚吃小孩完成签到,获得积分10
3秒前
雪山飞鹰完成签到,获得积分10
5秒前
5秒前
科研小民工应助wjwless采纳,获得50
5秒前
文天发布了新的文献求助10
9秒前
李爱国应助Singularity采纳,获得10
10秒前
11秒前
11秒前
15秒前
15秒前
在水一方应助DrTang采纳,获得10
15秒前
Emma完成签到 ,获得积分10
19秒前
21秒前
刘天鹏发布了新的文献求助80
21秒前
文右三发布了新的文献求助10
26秒前
26秒前
完美世界应助俏皮的一德采纳,获得10
27秒前
终将散落凡尘应助旧梦采纳,获得10
27秒前
虚幻平露完成签到,获得积分20
28秒前
29秒前
DrTang发布了新的文献求助10
30秒前
31秒前
谭淇文发布了新的文献求助10
32秒前
0409hhh完成签到 ,获得积分10
33秒前
33秒前
33秒前
烟花应助HCF采纳,获得10
34秒前
34秒前
嘎嘎嘎发布了新的文献求助30
34秒前
李春霞发布了新的文献求助10
35秒前
35秒前
砥砺完成签到,获得积分10
35秒前
左彦完成签到,获得积分10
35秒前
呼取尽余杯完成签到 ,获得积分10
36秒前
潘啊潘完成签到 ,获得积分10
37秒前
隐形曼青应助小向1993采纳,获得10
37秒前
裘青易发布了新的文献求助10
38秒前
39秒前
40秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3782342
求助须知:如何正确求助?哪些是违规求助? 3327852
关于积分的说明 10233274
捐赠科研通 3042733
什么是DOI,文献DOI怎么找? 1670153
邀请新用户注册赠送积分活动 799658
科研通“疑难数据库(出版商)”最低求助积分说明 758876