How Does fake review Influence E-Commerce Platform Revenue?

被引:0
作者
Chen, Lirong [1 ]
Li, Qiang [1 ]
机构
[1] Inner Mongolia Univ, Sch Comp Sci, Daxue West Rd 235, Hohhot 110021, Peoples R China
来源
2022 23RD ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2022) | 2022年
基金
中国国家自然科学基金;
关键词
Reputation system; Fake review; Transaction cost; Review manipulation; ONLINE; MANIPULATION; COMPETITION; DESIGN; SALES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We constructed a tripartite game model that includes consumers, sellers, and platforms to analyze the impact of fake reviews on platform revenue under different market structures. Results indicated that, in a monopoly market when the platform charges sellers transaction fees, on the one side, fake reviews yield more transaction cost for both consumers and sellers, thus generating less revenue for the platform. On the other side, if sellers choose to manufacture more fake reviews, consumers' perceived quality of product will increase in early time and the overall impact of fake reviews on platform revenue may be positive; however, in the long run, fake reviews will damage platform revenue. Furthermore, consumers' increased perceived quality will offset some of the negative impact from transaction costs if sellers choose other enhancement strategies instead of participating in review fraud. Moreover, more fake reviews will yield lower platform revenue when platforms are in a duopoly market. This study provides a theoretical basis for the platform to manage fake reviews.
引用
收藏
页码:439 / 442
页数:4
相关论文
共 17 条
  • [1] Platform Performance Investment in the Presence of Network Externalities
    Anderson, Edward G., Jr.
    Parker, Geoffrey G.
    Tan, Burcu
    [J]. INFORMATION SYSTEMS RESEARCH, 2014, 25 (01) : 152 - 172
  • [2] Competition in two-sided markets
    Armstrong, Mark
    [J]. RAND JOURNAL OF ECONOMICS, 2006, 37 (03) : 668 - 691
  • [3] Byers J.W., 2012, P 5 ACM INT C WEB SE
  • [4] Byers JohnW., 2012, Proceedings of the 13th ACM Conference on Electronic Commerce, P248
  • [5] Cao H., 2019, INFORM MANAGE-AMSTER
  • [6] Detection of Fake Reviews: Analysis of Sellers' Manipulation Behavior
    Chen, Lirong
    Li, Wenli
    Chen, Hao
    Geng, Shidao
    [J]. SUSTAINABILITY, 2019, 11 (17)
  • [7] Strategic manipulation of Internet opinion forums: Implications for consumers and firms
    Dellarocas, Chrysanthos
    [J]. MANAGEMENT SCIENCE, 2006, 52 (10) : 1577 - 1593
  • [8] How Online Product Reviews Affect Retail Sales: A Meta-analysis
    Floyd, Kristopher
    Ling, Ryan Fre
    Alhogail, Saad
    Cho, Hyun Young
    Freling, Traci
    [J]. JOURNAL OF RETAILING, 2014, 90 (02) : 217 - 232
  • [9] Design for the pricing strategy of return-freight insurance based on online product reviews
    Geng, Shidao
    Li, Wenli
    Qu, Xiaofei
    Chen, Lirong
    [J]. ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2017, 25 : 16 - 28
  • [10] Design of review systems - A strategic instrument to shape online reviewing behavior and economic outcomes
    Gutt, Dominik
    Neumann, Juergen
    Zimmermann, Steffen
    Kundisch, Dennis
    Chen, Jianqing
    [J]. JOURNAL OF STRATEGIC INFORMATION SYSTEMS, 2019, 28 (02) : 104 - 117