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Investigating the roles of online buzz for new product diffusion and its cross-country dynamics

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  • Chung, Jaihak

Abstract

This research investigates the roles of online buzz activities in influencing the speed and scope of new product diffusion and also the interactive dynamics of online buzz activities within and across countries. This study applies a diffusion model with two latent adopters and a log linear model to monthly sales and online messages collected from major online communication sites in five different countries. The empirical study evaluates two different roles of online buzz: (1) accelerating the new product diffusion process by influencing imitation tendency; and (2) expanding potential market size. In addition, the empirical study shows the interactive dynamics of online buzz activities within and across countries, and provides some information on what encourages online buzz activities, and how they interact with each other within a country and across countries.

Suggested Citation

  • Chung, Jaihak, 2011. "Investigating the roles of online buzz for new product diffusion and its cross-country dynamics," Journal of Business Research, Elsevier, vol. 64(11), pages 1183-1189.
    • Handle: RePEc:eee:jbrese:v:64:y:2011:i:11:p:1183-1189
    DOI: 10.1016/j.jbusres.2011.06.020
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    References listed on IDEAS

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    1. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    2. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    3. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
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    Cited by:

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    2. Jang, Seongsoo & Chung, Jaihak & Rao, Vithala R., 2021. "The importance of functional and emotional content in online consumer reviews for product sales: Evidence from the mobile gaming market," Journal of Business Research, Elsevier, vol. 130(C), pages 583-593.
    3. Aleksandar Bradic, 2012. "The Role of Social Feedback in Financing of Technology Ventures," Papers 1301.2196, arXiv.org.
    4. Gobinda Roy & Biplab Datta & Rituparna Basu, 2017. "Effect of eWOM Valence on Online Retail Sales," Global Business Review, International Management Institute, vol. 18(1), pages 198-209, February.
    5. Duan, Hongbo & Zhang, Gupeng & Wang, Shouyang & Fan, Ying, 2018. "Peer interaction and learning: Cross-country diffusion of solar photovoltaic technology," Journal of Business Research, Elsevier, vol. 89(C), pages 57-66.
    6. Bo-Seong Yun & Sang-Gun Lee & Yaichi Aoshima, 2019. "An analysis of the trilemma phenomenon for Apple iPhone and Samsung Galaxy," Service Business, Springer;Pan-Pacific Business Association, vol. 13(4), pages 779-812, December.

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