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:15
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
很多奶油完成签到 ,获得积分10
1秒前
1秒前
arthur发布了新的文献求助10
1秒前
汉堡包应助enen采纳,获得10
1秒前
少冰雪完成签到,获得积分10
2秒前
2秒前
龙aa完成签到 ,获得积分10
2秒前
silence发布了新的文献求助10
2秒前
陈陈陈完成签到,获得积分10
3秒前
彭于彦祖应助酷酷珠采纳,获得50
3秒前
小鲤鱼本鱼完成签到,获得积分10
4秒前
赘婿应助嚯嚯李采纳,获得10
4秒前
浮游应助shutiao采纳,获得10
5秒前
6秒前
ZT发布了新的文献求助10
6秒前
6秒前
66666完成签到 ,获得积分10
6秒前
Akim应助刘某采纳,获得10
7秒前
爆米花应助科研通管家采纳,获得10
7秒前
桐桐应助科研通管家采纳,获得10
7秒前
在水一方应助科研通管家采纳,获得10
7秒前
小二郎应助科研通管家采纳,获得10
7秒前
香蕉觅云应助科研通管家采纳,获得10
7秒前
安详的小凝完成签到,获得积分10
7秒前
浮游应助科研通管家采纳,获得10
7秒前
浮游应助科研通管家采纳,获得10
8秒前
bkagyin应助科研通管家采纳,获得10
8秒前
田様应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
ZOE应助科研通管家采纳,获得10
8秒前
浮游应助科研通管家采纳,获得10
8秒前
8秒前
9秒前
大个应助光亮书南采纳,获得10
9秒前
任性宇豪发布了新的文献求助10
10秒前
10秒前
Winter完成签到 ,获得积分10
11秒前
12秒前
12秒前
岁岁完成签到 ,获得积分10
13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
Acute Mountain Sickness 2000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5069566
求助须知:如何正确求助?哪些是违规求助? 4290887
关于积分的说明 13368927
捐赠科研通 4111055
什么是DOI,文献DOI怎么找? 2251251
邀请新用户注册赠送积分活动 1256459
关于科研通互助平台的介绍 1188939