Co-opetition and Investment for Supply-Chain Resilience

业务 弹性(材料科学) 供应链 投资(军事) 产业组织 营销 政治学 物理 政治 法学 热力学
作者
Nitin Bakshi,Paul R. Kleindorfer
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:13
标识
DOI:10.2139/ssrn.1288022
摘要

This paper considers the problem of disruption risk management in global supply chains. We consider a supply chain with two participants, who face interdependent losses resulting from supply chain disruptions such as terrorist strikes and natural hazards. The Harsanyi-Selten-Nash bargaining framework is used to model the supply chain participants' choice of risk mitigation investments. The bargaining approach allows a framing of both joint financing of mitigation activities before the fact and loss-sharing net of insurance payouts after the fact. The disagreement outcome in the bargaining game is assumed to be the result of the corresponding non-cooperative game. We describe an incentive compatible contract that leads to First Best investment and equal 'gain' for all players, when the solution is 'interior' (as it almost certainly is in practice). A supplier that has superior security practices (i.e., is inherently safer) exploits its informational advantage by extracting an 'information rent' in the usual spirit of incomplete information games. We also identify a special case of this contract, which is robust to moral hazard. The role of auditing in reinforcing investment incentives is also examined.
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
魔幻荟发布了新的文献求助10
刚刚
杨羽完成签到,获得积分10
1秒前
华仔应助科研通管家采纳,获得10
1秒前
桐桐应助科研通管家采纳,获得10
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
Lucas应助科研通管家采纳,获得10
1秒前
1秒前
wp4605应助科研通管家采纳,获得10
1秒前
2秒前
2秒前
2秒前
orixero应助科研通管家采纳,获得10
2秒前
小马甲应助科研通管家采纳,获得30
2秒前
家俊完成签到,获得积分10
2秒前
CodeCraft应助科研通管家采纳,获得10
2秒前
我是老大应助科研通管家采纳,获得10
2秒前
隐形曼青应助科研通管家采纳,获得10
2秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
传奇3应助科研通管家采纳,获得10
2秒前
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
桐桐应助科研通管家采纳,获得50
3秒前
Starwalker应助科研通管家采纳,获得30
3秒前
Akim应助科研通管家采纳,获得10
3秒前
大模型应助科研通管家采纳,获得10
3秒前
SciGPT应助科研通管家采纳,获得10
3秒前
彭于晏应助科研通管家采纳,获得10
3秒前
领导范儿应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
4秒前
FashionBoy应助科研通管家采纳,获得30
4秒前
4秒前
4秒前
4秒前
科研通AI6.4应助天上人间采纳,获得10
4秒前
灰烬使者完成签到,获得积分10
4秒前
852应助南瓜霸天采纳,获得10
5秒前
飞快的雁发布了新的文献求助10
5秒前
笨笨琪完成签到,获得积分10
5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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
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 7049701
求助须知:如何正确求助?哪些是违规求助? 8714777
关于积分的说明 18452048
捐赠科研通 6566490
什么是DOI,文献DOI怎么找? 3119663
关于科研通互助平台的介绍 2207285
邀请新用户注册赠送积分活动 2095194