Information Collection and Personalized Service Strategy of Monopoly under Consumer Misrepresentation

Author:

Zhong Mingyue1ORCID,Cheng Yan2,Mei Shu-e1,Zhong Weijun1

Affiliation:

1. School of Economics and Management, Southeast University, Nanjing 210096, China

2. Department of Economics and Management, Jiangsu Institute of Administration, Nanjing 210009, China

Abstract

To decrease privacy risks, consumers may choose to misrepresent themselves when they are asked to offer personal information. Using a game theoretic model, this study examines the impact of consumer misrepresentation on both a monopolistic firm and consumers. The results show that consumer misrepresentation may benefit the firm, but hurt consumers under certain conditions. In addition, we find that when the unit cost of personalized service is low, consumer misrepresentation may encourage the firm to provide a higher personalized service level. Moreover, when consumers misrepresent themselves and the firm only covers part of the market, a greater unit value of consumer private information will reduce the firm’s profit, while a greater unit cost of personalized service will increase the firm’s profit. The analysis reported here provides important insights regarding the application of consumer information in online personalized marketing and consumer privacy protection.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

MDPI AG

Reference57 articles.

1. Consumer behavior modeling of “smart” scales choosing;Dorokhova;Access Sci. Bus. Innov. Digit. Econ.,2024

2. Does self-regulation provide legal protection and security to e-commerce consumers?;Barkatullah;Electron. Commer. Res. Appl.,2018

3. The influence of personality traits and information privacy concerns on behavioral intentions;Korzaan;J. Comput. Inf. Syst.,2008

4. The economic impact of privacy violations and security breaches: A laboratory experiment;Nofer;Bus. Inf. Syst. Eng.,2014

5. Concern for information privacy and online consumer purchasing;Shim;J. Assoc. Inf. Syst.,2006

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