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
刚刚
风清扬发布了新的文献求助10
刚刚
科研通AI6.2的应助被平淡夏青采纳,获得10
1秒前
李伟完成签到,获得积分10
1秒前
1秒前
Bubbllllle发布了新的文献求助10
1秒前
2秒前
3秒前
小赵有点忙完成签到,获得积分10
3秒前
stayu完成签到 ,获得积分20
4秒前
4秒前
逸风望完成签到,获得积分10
5秒前
谭杰发布了新的文献求助10
5秒前
明镜完成签到,获得积分10
6秒前
7秒前
沧源发布了新的文献求助10
7秒前
8秒前
尺素发布了新的文献求助30
8秒前
9秒前
YHF2完成签到,获得积分10
9秒前
9秒前
风清扬完成签到,获得积分0
9秒前
dbz的应助被111采纳,获得10
9秒前
10秒前
12秒前
12秒前
12秒前
13秒前
yu完成签到,获得积分20
14秒前
EnzeLu完成签到 ,获得积分10
14秒前
15秒前
15秒前
龙之鼻息发布了新的文献求助10
15秒前
Irefuse完成签到,获得积分10
15秒前
16秒前
Wang发布了新的文献求助30
16秒前
16秒前
17秒前
咕嘟咕嘟发布了新的文献求助10
17秒前
17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
Les Mantodea De Guyane 2000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7991218
求助须知:如何正确求助?哪些是违规求助? 9447239
关于积分的说明 21110771
捐赠科研通 7564488
什么是DOI,文献DOI怎么找? 3378408
关于科研通互助平台的介绍 2512408
邀请新用户注册赠送积分活动 2411964