Platform's preference information sharing in the presence of private label

Author:

Liu Xiaomin1ORCID,Li Wenping2

Affiliation:

1. School of Economics and Finance Xi'an Jiaotong University Xi'an 710061 China

2. School of Management and Economics North China University of Water Resources and Electric Power Zhengzhou 450046 China

Abstract

AbstractIn recent years, platforms have launched their private labels based on valuable consumer data and efficient supply chains. At the same time, some platforms share consumers’ preference information to help manufacturers in producing suitable products. In this paper, we consider a scenario where a platform sells its private label product directly and the manufacturer sells its national brand product through the platform. This study mainly investigates the platform's preference‐sharing strategy. We find that a win–win situation between the platform and manufacturer occurs when the proportion taken by the platform is high, information accuracy is low, and adjustment cost is extremely low. Otherwise, a lose–win, win–lose, or lose–lose scenario may arise. Furthermore, when the adjustment cost is extremely high or low, information sharing can be arranged through some payments. Finally, the study demonstrates that sharing preference information can either increase or decrease consumer surplus and social welfare.

Publisher

Wiley

Reference55 articles.

1. Alibaba. 2022. Available athttps://market.m.taobao.com/app/qn/toutiao‐new/index‐pc.html?spm=a21ag.8365346.faq.1.5a7d410cLiSm1x#/detail/10667741?_k=f1n66d, (accessed 20 May 2023)

2. Alizila. 2018.Alibaba's ‘Innovation Center’ gives brands edge in China. Available athttps://www.alizila.com/alibaba‐innovation‐center‐gives‐brands‐an‐edge‐in‐china/ (accessed 10 January 2024)

3. Avebtura 2021.China's C2M revolution 101. Available athttps://aventura.group/2021/01/05/chinas‐c2m‐revolution‐101/ (accessed 8 August 2023)

4. Pricing strategy for B&M store in a dual-channel supply chain based on hotelling model

5. Information sharing strategy in supply chains: The role of C2M

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3