The Impact of Platform’s Information Sharing on Manufacturer Encroachment and Selling Format Decision

业务 信息共享 运筹学 产业组织 数据库 计算机科学 知识管理 万维网 工程类
作者
Canran Gong,Joshua Ignatius,Huaming Song,Junwu Chai,Steven James Day
出处
期刊:European Journal of Operational Research [Elsevier BV]
卷期号:317 (1): 141-155 被引量:44
标识
DOI:10.1016/j.ejor.2024.03.036
摘要

Motivated by recent practice observations, we consider an incumbent manufacturer who has an existing wholesale contract with a e-commerce platform, which the latter sells as a private label product in its online marketplace. In this context, the manufacturer launches its follower product, which will coexist alongside the private label product on the platform. We study the interplay between the manufacturer's choice of selling format (i.e., reselling or agency) and how this choice influences the platform's decision to share (or not to share) demand information with the manufacturer (i.e., information sharing policy). In particular, we examine how the manufacturer's selling format choice is impacted by the platform's information sharing policy when subjected to perceived information accuracy. Using game-theoretic analyses, we find that under low perceived information accuracy, the manufacturer adopts the agency format when the commission rate is low but the reselling format when the commission rate is high. However, the platform withholds the demand information. More interestingly, when the commission rate and perceived information accuracy are both high, the manufacturer switches from the reselling to the agency format and this induces the platform to share demand information. This benefits both the manufacturer and the platform with the Pareto-improving zone expanding when perceived information accuracy is at least moderate but shrinking when the market size potential of the follower product increases. Ultimately, both parties can benefit from information sharing once in business and when the commission rate is high. The platform should also invest in greater information accuracy in such 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
zzz627发布了新的文献求助10
1秒前
PPSlu完成签到,获得积分10
1秒前
LZJ完成签到 ,获得积分10
2秒前
嬛嬛完成签到,获得积分10
2秒前
迅速的大山完成签到 ,获得积分10
3秒前
4秒前
5秒前
ding7862完成签到,获得积分10
6秒前
leo完成签到,获得积分10
7秒前
静心求真金教授完成签到,获得积分10
9秒前
Diflute完成签到 ,获得积分10
12秒前
zhangxasq完成签到,获得积分10
13秒前
永远的得胜同志完成签到,获得积分10
14秒前
健忘魔镜完成签到,获得积分10
15秒前
15秒前
ldk2025完成签到,获得积分10
16秒前
jinjinjin完成签到,获得积分10
18秒前
19秒前
Vv完成签到,获得积分20
19秒前
白bai完成签到 ,获得积分10
19秒前
欧斯奥特曼完成签到 ,获得积分10
21秒前
ChandlerZB完成签到,获得积分10
22秒前
22秒前
面壁的章北海完成签到,获得积分10
25秒前
27秒前
Jdjin完成签到,获得积分20
28秒前
排骨大王完成签到 ,获得积分10
28秒前
PatriciaJ完成签到,获得积分10
30秒前
30秒前
31秒前
Explosion完成签到,获得积分10
31秒前
芝诺的乌龟完成签到 ,获得积分0
32秒前
浪浪完成签到 ,获得积分10
33秒前
33秒前
整齐狗咪完成签到,获得积分10
33秒前
34秒前
火山书痴完成签到 ,获得积分10
34秒前
任逍遥发布了新的文献求助10
35秒前
嘟嘟嘟完成签到,获得积分20
36秒前
科研通AI6.3应助初一采纳,获得10
36秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 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 7252936
求助须知:如何正确求助?哪些是违规求助? 8875073
关于积分的说明 18734672
捐赠科研通 6933528
什么是DOI,文献DOI怎么找? 3199831
关于科研通互助平台的介绍 2374606
邀请新用户注册赠送积分活动 2174506