Author List: Zhou, Wenqi; Duan, Wenjing;
Journal of Management Information Systems, 2016, Volume 33, Issue 1, Page 202-228.
With the broad reach of the Internet, online users frequently resort to various word-of-mouth (WOM) sources, such as online user reviews and professional reviews, during online decision making. Although prior studies generally agree on the importance of online WOM, we have little knowledge of the interplay between online user reviews and professional reviews. This paper empirically investigates a mediation model in which online user reviews mediate the impact of professional reviews on online user decisions. Using software download data, we show that a higher professional rating not only directly promotes software download but also results in more active user-generated WOM interactions, which indirectly lead to more downloads. The indirect impact of professional reviews can be as large as 20 percent of the corresponding total impact. These findings deepen our understanding of online WOM effect, and provide managerial suggestions about WOM marketing and the prediction of online user choices. > >
Keywords: Bayesian modeling ;electronic word of mouth eWOM; mediation model; online reviews; online software ;markets professional reviews ;word of mouth
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#130 0.304 online users active paper using increasingly informational user data internet overall little various understanding empirical despite lead cascades help availability
#199 0.298 reviews product online review products wom consumers consumer ratings sales word-of-mouth impact reviewers word using effect marketing helpfulness electronic commerce
#220 0.147 research study different context findings types prior results focused studies empirical examine work previous little knowledge sources implications specifically provide
#173 0.113 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship