Eliminate demand information disadvantage in a supplier encroachment supply chain with information acquisition

业务 供应链 竞赛(生物学) 频道(广播) 私人信息检索 产业组织 供应链管理 营销 商业 微观经济学 经济 计算机科学 生态学 计算机网络 计算机安全 生物
作者
Jing Chen,Hubert Pun,Qiao Zhang
出处
期刊:European Journal of Operational Research [Elsevier BV]
卷期号:305 (2): 659-673 被引量:55
标识
DOI:10.1016/j.ejor.2022.06.002
摘要

The retailer, who is closer to customers, usually has more information on demand than its manufacturer does. This paper focuses on a manufacturer's information acquisition strategy in a supply chain, and the design of the first-best contract to achieve a win-win for the manufacturer and its retailer. We consider a manufacturer encroachment supply chain in which the manufacturer sells products both directly to the consumer and indirectly through a retailer. The retailer has private demand information while the manufacturer has the option of acquiring demand information. The manufacturer sets the retail price in its direct channel, and the retailer sets the retail price in the retail channel. We consider the two retail price leadership cases, either the manufacturer decides the retail price first or the retailer decides the retail price first. We find that the manufacturer can be hurt by acquiring information, even when the cost is negligible, because competition between the two channels is intensified. Moreover, while one might expect that the retailer is better off from having more information, we show that the retailer can in fact benefit when the manufacturer acquires information. Lastly, we find that the retailer may be worse off from being the retail price leader when the manufacturer acquires demand information, and price competition can be intensified if more customers prefer the direct channel (indirect channel) when the manufacturer (the retailer) acts as the price leader.
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
1秒前
555发布了新的文献求助20
1秒前
xiaoniu发布了新的文献求助10
1秒前
内卷带师完成签到,获得积分10
2秒前
3秒前
木木余完成签到 ,获得积分10
4秒前
5秒前
5秒前
5秒前
小马甲应助小赵采纳,获得10
6秒前
6秒前
lll发布了新的文献求助10
8秒前
pp发布了新的文献求助50
8秒前
蜡笔小黑完成签到,获得积分10
9秒前
Yuu完成签到,获得积分10
9秒前
隐形曼青应助咕咕采纳,获得10
10秒前
韩楠完成签到 ,获得积分10
11秒前
金城武发布了新的文献求助10
11秒前
纯白汉玉完成签到,获得积分10
11秒前
FJ发布了新的文献求助10
12秒前
MaxDYi发布了新的文献求助10
12秒前
Jonathan发布了新的文献求助10
12秒前
学术欲望不断膨胀完成签到,获得积分10
15秒前
16秒前
17秒前
壶壶壶完成签到,获得积分10
17秒前
饼干完成签到 ,获得积分10
18秒前
19秒前
小二郎应助lll采纳,获得10
20秒前
秧泽完成签到,获得积分20
22秒前
科研通AI6.2应助冷静菠萝采纳,获得30
23秒前
ccx981166完成签到,获得积分10
23秒前
大大完成签到 ,获得积分10
23秒前
25秒前
深情安青应助天雨流芳采纳,获得10
25秒前
25秒前
26秒前
26秒前
酷酷筝完成签到,获得积分10
27秒前
今后应助Mandarin023采纳,获得10
27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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366215
求助须知:如何正确求助?哪些是违规求助? 8180121
关于积分的说明 17244782
捐赠科研通 5420994
什么是DOI,文献DOI怎么找? 2868279
邀请新用户注册赠送积分活动 1845424
关于科研通互助平台的介绍 1692912