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The moderating role of socio-semantic networks on online buzz diffusion

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  • Lee, Hyejun
  • Lee, Dong Il
  • Kim, Taeho
  • Lee, Juhyun

Abstract

Many studies show that online buzz influences consumer's behavior. Relatively few studies empirically explore its diffusion, however. The source and content of online information influences people. This study aims to determine the direct effect of the volume of early online WOM (Word of Mouth) on its subsequent diffusion and the moderating effects of WOM characteristics in both the social and semantic networks in its initial 14-day stage of diffusion. To accomplish the objectives of the study, a specialized agency for online buzz research provided raw data regarding online WOM for 40 cellular phones. This study analyzes three stages of buzz diffusion. In the first stage, we performed a social network analysis of poster–replier relationships to capture the social aspects of online WOM networks. In the next stage, we extracted morphemes from the content corpus and conducted a semantic network analysis of online WOM. The five network characteristic indexes extracted through this analysis were density, degree centrality, betweenness centrality, eigenvector centrality and path length. In the last stage, we employed a 1st level and 2nd level HLM (hierarchical linear model). The results identify the partially direct and moderating factors affecting online WOM diffusion. This study contributes to the understanding of the role of social and semantic network indexes in online WOM diffusion.

Suggested Citation

  • Lee, Hyejun & Lee, Dong Il & Kim, Taeho & Lee, Juhyun, 2013. "The moderating role of socio-semantic networks on online buzz diffusion," Journal of Business Research, Elsevier, vol. 66(9), pages 1367-1374.
  • Handle: RePEc:eee:jbrese:v:66:y:2013:i:9:p:1367-1374
    DOI: 10.1016/j.jbusres.2012.02.038
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    References listed on IDEAS

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    1. Phelps, Joseph E. & Lewis, Regina & Mobilio, Lynne & Perry, David & Raman, Niranjan, 2004. "Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email," Journal of Advertising Research, Cambridge University Press, vol. 44(4), pages 333-348, December.
    2. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Henderson, Geraldine R. & Iacobucci, Dawn & Calder, Bobby J., 1998. "Brand diagnostics: Mapping branding effects using consumer associative networks," European Journal of Operational Research, Elsevier, vol. 111(2), pages 306-327, December.
    5. Mauro Bampo & Michael T. Ewing & Dineli R. Mather & David Stewart & Mark Wallace, 2008. "The Effects of the Social Structure of Digital Networks on Viral Marketing Performance," Information Systems Research, INFORMS, vol. 19(3), pages 273-290, September.
    6. Dobele, Angela & Lindgreen, Adam & Beverland, Michael & Vanhamme, Joelle & van Wijk, Robert, 2007. "Why pass on viral messages? Because they connect emotionally," Business Horizons, Elsevier, vol. 50(4), pages 291-304.
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    Cited by:

    1. Hong, Zhaofu & Li, Mengfan & Han, Xiaoya & He, Xuhuai, 2020. "Innovative green product diffusion through word of mouth," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).

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