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Electronic Commerce Research

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18.07.2017

Effects of membership tier on user content generation behaviors: evidence from online reviews

verfasst von: Dongpu Fu, Yili Hong, Kanliang Wang, Weiguo Fan

Erschienen in: Electronic Commerce Research | Ausgabe 3/2018

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Abstract

Online shopping websites typically classify customers into different membership tiers in their customer relationship management systems. This study investigates the effects of membership tiers on user content generation behaviors in the context of an electronic commerce marketplace that has a membership tier program and an online review system. Grounded in theories related to status, our study hypothesizes the effects of membership tiers on user content generation behaviors as well as the helpfulness of the content they generated in the context of online reviews. We collected online data from a world-leading shopping website. The results from our empirical analyses indicate that membership tier has a positive effect on review rating and review delay, whereas it has a negative effect on review depth. Additionally, we tested mediation effects of review rating, depth and delay between membership tiers and review helpfulness, and found that membership tier negatively affected review helpfulness indirectly. Interestingly, reviews posted by high-status customers are perceived as more helpful than those of others when we controlled for review characteristics. This study contributes to research on online product reviews and customer relationship management.

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Information source: http://www.jd.com/intro/about.aspx.

In October 15, 2013, the category of membership tiers was adjusted and classified into five grades. Sample data were extracted before the date and are not affected by the adjustment of membership tiers. Detailed information can be found at http://help.jd.com/help/question-57.html.

The detailed rules for the growth of membership tiers can be found at http://help.jd.com/user/issue/163-368.html.

With the development of the Internet and multiple new forms of media, traditional differences between search and experience goods have become blurred in the online environment [4, 87, 90]. To address this problem, a classification principle for search and experience products, depending on whether the dominant quality attributes are objective or subjective, has been proposed and applied [4, 13, 87, 90].

At the time of the data collection, we were able to observe the same reviewers with multi-level membership tiers in this data set. That is to say, JD website used to record the level of membership tier of the reviewer at that time for each online review. However, the current version of the website only shows the current status of reviewers.

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Titel: Effects of membership tier on user content generation behaviors: evidence from online reviews
verfasst von: Dongpu Fu
Yili Hong
Kanliang Wang
Weiguo Fan
Publikationsdatum: 18.07.2017
Verlag: Springer US
Erschienen in: Electronic Commerce Research / Ausgabe 3/2018
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI: https://doi.org/10.1007/s10660-017-9266-7

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