An Empirical Investigation of the Online Commentary Behavior Dynamics Based on the Marginal Utility Theory
He Jianjia,
Chen Lihua,
Li Junxiang and
Liu Shengmin
Additional contact information
He Jianjia: School of Business, University of Shanghai for Science and Technology, Shanghai, China
Chen Lihua: School of Business, University of Shanghai for Science and Technology, Shanghai, China
Li Junxiang: School of Business, University of Shanghai for Science and Technology, Shanghai, China
Liu Shengmin: School of Business, University of Shanghai for Science and Technology, Shanghai, China
International Journal of Enterprise Information Systems (IJEIS), 2020, vol. 16, issue 2, 92-106
Abstract:
As a typical online word-of-mouth, online commentary has an important impact on consumer purchasing decisions. Therefore, it is very important to study the behavior of consumer online commentary. In this study, the user's behavior is quantitatively analyzed based on the real data of the website, and a user behavior dynamics model under the influence of marginal utility is constructed. The study found that the user comment behavior is subject to power law distribution, different levels of user activity are different and there is a tendency to rise first and then decline. This study provides a theoretical basis for the website to adjust customer relationship management in a timely manner.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEIS.2020040106 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jeis00:v:16:y:2020:i:2:p:92-106
Access Statistics for this article
International Journal of Enterprise Information Systems (IJEIS) is currently edited by Gianluigi Viscusi
More articles in International Journal of Enterprise Information Systems (IJEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().