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Are Online Reviewers Leaving? Heterogeneity in Reviewing Behavior

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E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life (WEB 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 258))

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Abstract

Online consumption communities evolve over time and go through different stages in their life cycle [1]. The key factor of the sustainability of the community is members’ ongoing contribution. This study examines the factors affecting the ongoing contribution of online reviewers for different types of users. Drawing from theory on communities of consumption [2] and popularity effect [3]; we propose a conceptual model of drivers of ongoing contribution. We observed that Social ties, sidedness, and consumption activity could explain the heterogeneity of ongoing contribution level for different users. We studied a community of book reviews. We showed that the effect of sidedness on contribution prediction is stronger for reviewers with extreme behavior. We also concluded that consumption activity has more predictive information about the contribution compare to the social tie and sidedness.

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Notes

  1. 1.

    100*(1–0.42) for Minglers and 100*(1–0.34) For Devotees.

References

  1. Iriberri, A., Leroy, G.: A life-cycle perspective on online community success. ACM Comput. Sur. (CSUR) 41(2), 11 (2009)

    Google Scholar 

  2. Kozinets, R.V.: E-tribalized marketing?: The strategic implications of virtual communities of consumption. Eur. Manag. J. 17(3), 252–264 (1999)

    Article  Google Scholar 

  3. Goes, P., Lin, M., Yeung, C.: “Popularity effect” in user-generated content: evidence from online product reviews. Inf. Sys. Res. 1–17 (2014)

    Google Scholar 

  4. Cheung, C.M.K., Thadani, D.R.: The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decis. Support Syst. 54(1), 461–470 (2012)

    Article  Google Scholar 

  5. Mudambi, S.M., Schuff, D.: What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Q. 34(1), 185–200 (2010)

    Article  Google Scholar 

  6. Wei, X., Chen, W., Zhu, K.: Motivating user contributions in online knowledge communities: virtual rewards and reputation. In: 48th Hawaii International Conference on System Sciences (2015)

    Google Scholar 

  7. Samiei, P., Tripathi, A.K.: Effect of social networks on online reviews. In: 47th Hawaii International Conference in System Sciences (HICSS), Hawaii (2014)

    Google Scholar 

  8. Connors, L., Mudambi, S.M., Scuff, D.: Is it the review or the reviewer? A multi-method approach to determine the antecedents of online review helpfulness. In: 44th Hawaii International Conference on System Sciences (HICSS) (2011)

    Google Scholar 

  9. Wasko, M.M., Faraj, S.: Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Q. 29(1), 35–57 (2005)

    Article  Google Scholar 

  10. Alexandrov, A., Lilly, B., Babakus, E.: The effects of social-and self-motives on the intentions to share positive and negative word of mouth. J. Acad. Mark. Sci. 41(5), 531–546 (2013)

    Article  Google Scholar 

  11. Brooks, R.C.: “Word-of-Mouth” advertising in selling new products. J. Mark. 22(2), 154–161 (1957)

    Article  Google Scholar 

  12. Moe, W.W., Schweidel, D.A.: Online product opinions: incidence, evaluation, and evolution. Mark. Sci. 31(3), 372–386 (2012)

    Article  Google Scholar 

  13. Munzel, A., Kunz, W.H.: Creators, multipliers, and lurkers: who contributes and who benefits at online review sites. J. Serv. Manage. 25(1), 49–74 (2014)

    Article  Google Scholar 

  14. Cheung, C.M., Lee, M.K.: What drives consumers to spread electronic word of mouth in online consumer-opinion platforms. Decis. Support Syst. 53(1), 218–225 (2012)

    Article  Google Scholar 

  15. Hennig-Thurau, T., Gwinner, K.P., Walsh, G., Gremler, D.D.: Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet? J. Interact. Mark. 18(1), 38–52 (2004)

    Article  Google Scholar 

  16. Hu, N., Pavlou, P.A., Zhang, J.: Can online reviews reveal a product’s true quality? Empirical findings and analytical modelling of online word-of-mouth communication. In: Proceeding of 7th ACM Conference, Electronic Commerce, New York (2006)

    Google Scholar 

  17. Li, X., Hitt, L.M.: Self-selection and information role of online product reviews. Inf. Syst. Res. 19(4), 456–474 (2008)

    Article  Google Scholar 

  18. Zhu, F., Zhang, X.: Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics. J. Mark. 74(2), 133–148 (2010)

    Article  Google Scholar 

  19. Zhang, X., Dellarocas, C.: The lord of the ratings: is a movie’s fate is influenced by reviews? In: ICIS 2006 Proceedings (2006)

    Google Scholar 

  20. Shen, W.: Competing for attention in online reviews. In: AMCIS 2009 Doctoral Consortium (2009)

    Google Scholar 

  21. Huang, J., Cheng, X.Q., Shen, H.W., Zhou, T., Jin, X.: Exploring social influence via posterior effect of word-of-mouth recommendations. In: Fifth ACM International Conference on Web Search and Data Mining (WSDM 2012) (2012)

    Google Scholar 

  22. Montazemi, A.R., Saremi, H.Q.: The effectiveness of electronic word of mouth on consumers’ perceptions of adopting products/services (2014)

    Google Scholar 

  23. King, R.A., Racherla, P., Bush, V.D.: What we know and don’t know about online word-of-mouth: a review and synthesis of the literature. J. Interact. Mark. 28(3), 167–183 (2014)

    Article  Google Scholar 

  24. Ridings, C., Gefen, D., Arinze, B.: Psychological barriers: Lurker and poster motivation and behavior in online communities. Commun. Assoc. Inf. Syst. 18(1), 16 (2006)

    Google Scholar 

  25. Takahashi, M., Fujimoto, M., Yamasaki, N.: The active Lurker: a new viewpoint for evaluating the influence of an in-house online community. ACM SIGGROUP Bull. 23(3), 29–33 (2002)

    Article  Google Scholar 

  26. Li, H., Lai, V.: The interpersonal relationship perspective on virtual community participation. In: ICIS 2007 Proceedings (2007)

    Google Scholar 

  27. Hartmann, B.J., Wiertz, C., Arnould, E.J.: Exploring consumptive moments of value-creating practice in online community. Psychol. Mark. 32(3), 319–340 (2015)

    Article  Google Scholar 

  28. Preece, J., Shneiderman, B.: The reader-to-leader framework: motivating technology-mediated social participation. AIS Trans. Hum. Comput. Interact. 1(1), 13–32 (2009)

    Article  Google Scholar 

  29. Kozinets, R.V.: Utopian enterprise: articulating the meanings of Star Trek’s culture of consumption. J. Consum. Res. 28(1), 67–88 (2001)

    Article  Google Scholar 

  30. Butler, B.S.: Membership size, communication activity, and sustainability: a resource-based model of online social structures. Inf. Syst. Res. 12(4), 346–362 (2001)

    Article  Google Scholar 

  31. Wang, Y.C., Kraut, R., Levine, J.M.: To stay or leave?: The relationship of emotional and informational support to commitment in online health support groups. In: ACM 2012 Conference on Computer Supported Cooperative Work Proceeding (2012)

    Google Scholar 

  32. Nov, O., Naaman, M., Ye, C.: Analysis of participation in an online photo-sharing community: a multidimensional perspective. J. Am. Soc. Inform. Sci. Technol. 61(3), 555–566 (2010)

    Google Scholar 

  33. Schlosser, A.E.: Posting versus lurking: communicating in a multiple audience context. J. Consum. Res. 32(2), 260–265 (2005)

    Article  Google Scholar 

  34. Samiei, P., Tripathi, A.K.: Exploring reviewers’ contributions to online review platforms. In: 23rd Workshop on Information Technologies and Systems, Milan, Italy (2013)

    Google Scholar 

  35. Xu, Y.C., Zhang, C., Xue, L.: Measuring product susceptibility in online product review social network. Decis. Support Syst. (2013)

    Google Scholar 

  36. Samiei, P.: Understanding online reviewing behavior, product evaluation. In: 24th Workshop on Information Technologies and Systems (WITS), Auckland, New Zealand (2014)

    Google Scholar 

  37. Chen, H.-N., Huang, C.-Y.: An investigation into online reviewers’ behavior. Eur. J. Mark. 47(10), 1758–1773 (2013)

    Article  Google Scholar 

  38. Stata.com: Ksmirnov- Kolmogorov –Smirnov equality-of-distributions test. In: Stata manual (2015)

    Google Scholar 

  39. Huang, D.S., Zhao, Z., Bevilacqua, V., Figueroa, J.C.: Advanced intelligent computing theories and applications. In: 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China (2010)

    Google Scholar 

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Correspondence to Parastoo Samiei .

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Samiei, P., Tripathi, A. (2016). Are Online Reviewers Leaving? Heterogeneity in Reviewing Behavior. In: Sugumaran, V., Yoon, V., Shaw, M. (eds) E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life. WEB 2015. Lecture Notes in Business Information Processing, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-319-45408-5_11

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