Seller Manipulation of Consumer Reviews under Competition Conferences

abstract

• Consumer ratings in online marketplaces not only help consumers learn about the quality of sellers’ products and services, but also shape the competition among those sellers. Some sellers, taking the advantage of anonymity of contributing consumers, forge consumer reviews to boost their own ratings. This research uses a game theoretical model to explore the incentive mechanism of the manipulation of consumer reviews in a competitive environment. By examining the interaction between price competition and review manipulation, this paper shows that although forging consumer reviews can improve their perceived quality, high-quality sellers do not do so because they incur higher marginal costs. Only low-quality sellers fake consumer reviews. However, the manipulation of consumer ratings does not change the rankings of the perceived quality of sellers. This paper also shows how market characteristics, including consumer quality preference and manipulation cost influence the manipulation of consumer reviews.

authors

• Wu, Ruhai
• Qiu, C

status

• published 

publication date

• January 2016

published in

• Proceedings of the Annual Hawaii International Conference on System Sciences  Journal

presented at event

• 2016 49th Hawaii International Conference on System Sciences (HICSS)  Conference

keywords

• Computer Science
• Computer Science, Information Systems
• Computer Science, Theory & Methods
• Engineering
• Engineering, Electrical & Electronic
• Science & Technology
• Technology

Digital Object Identifier (DOI)

• 10.1109/HICSS.2016.447

International Standard Book Number (ISBN) 13

• 9780769556703

start page

• 3575

end page

• 3583

volume

• 2016-March