Supply chain competition model with a NEV-sharing platform: Financing and risk attitude concerns

竞赛(生物学) 供应链 业务 产业组织 财务 营销 生态学 生物
作者
Jianhu Cai,Lishuang Jia,Minyan Ping
出处
期刊:Computers & Industrial Engineering [Elsevier BV]
卷期号:172: 108554-108554 被引量:2
标识
DOI:10.1016/j.cie.2022.108554
摘要

• Dig out key feature of NSP by introducing TSR services. • Relate financial constraint and risk aversion together to describe NSP. • Obtain SC members’ preferences for MF strategy and MI strategy. • Find SC members’ preferences for asset-heavy mode and asset-light mode. Currently, many platforms provide time-sharing rental (TSR) services to consumers by operating new energy vehicles (NEVs). We develop a two-echelon supply chain (SC) consisting of one NEV-sharing platform (NSP) and one original equipment manufacturer (OEM) under demand uncertainty. The NSP provides TSR services and operates under two operation modes: the asset-heavy mode and the asset-light mode. Under the asset-heavy mode, the NSP is risk averse and capital constrained, and seeks financing services from two SC finance strategies: OEM financing (MF) strategy and OEM investment (MI) strategy. Under the asset-light mode, the NSP is risk neutral and capital adequate. We derive and compare the SC members’ optimal decisions under different SC finance strategies and different operation modes, then investigate SC members’ participation motivations by comparing their benefits, the SC members’ preferences for the SC finance strategies and the operation modes in different situations are obtained. Our results reveal that under the asset-heavy mode, there exists an interval of interest rate or an interval of supplementary investment where the SC members can benefit from the specific finance strategy compared with another finance strategy. This paper also shows that the SC members’ preferences for different operation modes are influenced by the revenue-sharing ratio under the asset-light mode. Numerical examples are provided to validate our findings and to derive managerial implications.
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
大方从彤完成签到,获得积分10
刚刚
安静苞络完成签到 ,获得积分10
2秒前
3秒前
ding应助鳗鱼友琴采纳,获得10
4秒前
Shan发布了新的文献求助10
8秒前
桐桐应助xixiz1024采纳,获得10
9秒前
9秒前
11秒前
12秒前
SSSstriker完成签到,获得积分10
12秒前
nana完成签到 ,获得积分10
13秒前
14秒前
14秒前
老黑发布了新的文献求助10
16秒前
kinmke完成签到,获得积分10
19秒前
脑洞疼应助Shan采纳,获得10
19秒前
鳗鱼友琴发布了新的文献求助10
19秒前
wanci应助单纯的访冬采纳,获得10
22秒前
瑾沫流年完成签到,获得积分10
22秒前
26秒前
Cheung2121完成签到,获得积分20
29秒前
30秒前
Cheung2121发布了新的文献求助30
31秒前
单纯的访冬完成签到,获得积分10
31秒前
小月986完成签到,获得积分10
32秒前
大豆cong发布了新的文献求助30
32秒前
33秒前
35秒前
舒适念真发布了新的文献求助30
37秒前
梦nv孩完成签到,获得积分10
38秒前
南宫古伦完成签到 ,获得积分10
39秒前
俭朴夜香发布了新的文献求助10
42秒前
46秒前
Tiwiiw完成签到 ,获得积分10
47秒前
NexusExplorer应助大豆cong采纳,获得10
48秒前
杨震发布了新的文献求助30
52秒前
小蘑菇应助Oliver采纳,获得10
59秒前
1分钟前
1分钟前
1分钟前
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
Encyclopedia of Geology (2nd Edition) 2000
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
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 3780364
求助须知:如何正确求助?哪些是违规求助? 3325704
关于积分的说明 10224008
捐赠科研通 3040823
什么是DOI,文献DOI怎么找? 1669040
邀请新用户注册赠送积分活动 799013
科研通“疑难数据库(出版商)”最低求助积分说明 758648