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
姬鲁宁完成签到 ,获得积分10
1秒前
使君子完成签到 ,获得积分10
2秒前
科研通AI6.2应助They_say采纳,获得10
2秒前
蔺天宇完成签到,获得积分10
3秒前
M__M发布了新的文献求助10
4秒前
老实从蕾发布了新的文献求助10
5秒前
奕苼发布了新的文献求助10
6秒前
aj完成签到,获得积分10
6秒前
杨雨婷发布了新的文献求助10
8秒前
qin完成签到,获得积分10
9秒前
还游完成签到,获得积分10
11秒前
雨濛完成签到,获得积分10
12秒前
行走的绅士完成签到,获得积分10
12秒前
summer夏完成签到,获得积分10
12秒前
14秒前
阿托品完成签到,获得积分10
15秒前
桐桐应助djdh采纳,获得10
16秒前
jiafei发布了新的文献求助10
18秒前
21秒前
323431完成签到,获得积分10
21秒前
23秒前
王抗抗完成签到 ,获得积分10
25秒前
orixero应助huhdcid采纳,获得30
26秒前
星空完成签到,获得积分10
27秒前
JamesPei应助饼饼采纳,获得10
29秒前
乐乐应助yyds采纳,获得10
29秒前
科研狗完成签到,获得积分10
29秒前
29秒前
30秒前
标致冬日完成签到,获得积分10
30秒前
vhosc发布了新的文献求助50
30秒前
30秒前
31秒前
完美世界应助独特亦旋采纳,获得10
31秒前
Susan完成签到,获得积分10
32秒前
Orange应助文艺的冬卉采纳,获得10
34秒前
godblessyou发布了新的文献求助10
35秒前
丹丹子完成签到 ,获得积分10
35秒前
玉米侠发布了新的文献求助10
35秒前
35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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Handbook of Optical Systems,Volume 6:Advanced Physical Optics 666
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 6513302
求助须知:如何正确求助?哪些是违规求助? 8306742
关于积分的说明 17748021
捐赠科研通 5615384
什么是DOI,文献DOI怎么找? 2924145
邀请新用户注册赠送积分活动 1901193
关于科研通互助平台的介绍 1762862