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The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation

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Abstract

While ranking systems, electronic word of mouth (eWOM) channels and recommendation systems might appear as three separate tools that influence consumer choice, consumers at online reading platforms are often exposed to all three simultaneously during a searching session of e-books. This study conducts an empirical analysis to examine the interaction effects of these three decision-supporting tools on online reading behavior. To do so, we collect a 25-week panel data set on Yuedu.163.com, which is one of the earliest online reading platforms in China. Our results indicate that informational cascades are particularly prominent on the online reading market. Under the influence of informational cascades, eWOM volume and valence have no impact on the clicks of e-books with high rankings, but have positive impact on the clicks of e-books with low rankings. Recommendation strength has a positive impact on popular e-books clicks, but has no impact on the clicks of less popular e-books. Moreover, we find that eWOM valence and recommendation strength have a substitute relationship in affecting the clicks of e-books with high rankings. However, eWOM and recommendation system have a complementary relationship in affecting the clicks of less popular e-books. To our best knowledge, this paper is the first to investigate the interaction effects of information cascades, eWOM and recommendation systems on online user behavior. Our findings provide important theoretical contributions and managerial implications.

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Acknowledgements

This paper is supported by the National Natural Science Foundation of China (No: 71764006, No: 71363022, No: 71373192, No: 71361012), Natural Science Foundation of Jiangxi, China (No: 20161BAB201029) and Foundation of Jiangxi Educational Committee (No: GJJ170335).

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Authors and Affiliations

  1. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, People’s Republic of China

    Qihua Liu & Xiaoyu Zhang

  2. School of Information Management, Wuhan University, Wuhan, People’s Republic of China

    Liyi Zhang & Yang Zhao

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  1. Qihua Liu
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  2. Xiaoyu Zhang
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  3. Liyi Zhang
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  4. Yang Zhao
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Correspondence to Yang Zhao.

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Liu, Q., Zhang, X., Zhang, L. et al. The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation. Electron Commer Res 19, 521–547 (2019). https://doi.org/10.1007/s10660-018-9312-0

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