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JACIII Vol.15 No.2 pp. 198-203
doi: 10.20965/jaciii.2011.p0198
(2011)

Paper:

Effects of Information Diffusion in OnlineWord-of-Mouth Communication Among Consumers

Isamu Okada* and Hitoshi Yamamoto**

*Faculty of Business Administration, Soka University, 1-236 Tangi, Hachioji, Tokyo 192-8577, Japan

**Faculty of Business Administration, Rissho University, 4-2-16 Osaki, Shinagawa, Tokyo 141-8602, Japan

Received:
August 1, 2010
Accepted:
December 31, 20
Published:
March 20, 2011
Keywords:
consumer information behaviour, online word-of-mouth, cognitive limitation, communication policy selection, agent-based simulation
Abstract

The effects of online word-of-mouth communication among consumers were investigated using an agentbased model. In order to explain consumers’ purchasing behaviours from the view of consumer behavioral theory, we installed heterogeneity on consumers based on individual informative actions. Consumers were assumed to communicate with other consumers selectively using one of three policies: random selection, similar level selection, and higher level selection. Simulation showed that the most effective policy for selecting communication partners depends on the characteristics of goods under consideration. It also showed that increasing the number of communication partners and changing distribution of consumers positively affects purchasing behaviour while increasing consumer memory through such technologies as blogs does not. These findings help clarify how consumers deal with their cognitive limitations in the face of the massive amount of information now available.

Cite this article as:
Isamu Okada and Hitoshi Yamamoto, “Effects of Information Diffusion in OnlineWord-of-Mouth Communication Among Consumers,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.2, pp. 198-203, 2011.
Data files:
References
  1. [1] C. Dellarocas and R. Narayan, “A Statistical Measure of a Population’s Propensity to Engage in Post-Purchase Online Word-of-Mouth,” Statistical Science, Vol.21, No.2, pp. 277-285, 2006.
  2. [2] T. Hennig-Thurau, K. P. Gwinner, G. Walsh, and D. D. Gremler, “Electronic Word-of-Mouth via Consumer-Opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet?,” J. of Interactive Marketing, Vol.18, No.1, pp. 38-52. 2004.
  3. [3] N. Hu, P. A. Pavlou, and J. Zhang, “Can Online Reviews Reveal a Product’s True Quality?,” Proc. of the Seventh ACM Conf. on Electronic Commerce (EC’06), 2006.
  4. [4] C. Dellarocas, “The Digitization of Word-of-Mouth: Promise and Challenge of Online Feedback Mechanisms,” Management Science, Vol.49, pp. 1407-1424, 2003.
  5. [5] D. Godes and D. Mayzlin, “Using Online Conversations to Study Word-of-Mouth Communication,” Marketing Science, Vol.23, No.4, pp. 545-560, 2004.
  6. [6] J. Brown, A. J. Broderick, and N. Lee, “Word of Mouth Communication Within Online Communities: Conceptualizing the Online Social Network,” J. of Interactive Marketing, Vol.21, No.3, pp. 2-20, 2007.
  7. [7] C. Dellarocas, N. Awad, and M. Zhang, “Using online ratings as a proxy of word-of-mouth in motion picture revenue forecasting,” Working paper, Smith School of Business, Univ. Maryland, 2005.
  8. [8] J. A. Chevalier and D. Mayzlin, “The Effect of Word of Mouth on Sales: Online Book Reviews,” J. of Marketing Research, Vol.18, pp. 345-354, 2006.
  9. [9] Y. Kuwashima, “The word-of-mouth effect on the web: A case of the network of massage board in site A,” 21COE, University of Tokyo, MMRC Discussion Paper, Vol.79, 2006.
  10. [10] D. Smith, S. Menon, and K. Sivakumar, “Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets,” J. of Interactive Marketing, Vol.19, No.3, pp. 15-37, 2005.
  11. [11] T. H. Davenport and J. C. Beck, “The Attention Economy: Understanding the New Currency of Business,” Harvard Business School Press, 2001.
  12. [12] F. M. Bass, “A New Product Growth Model for Consumer Durables,” Management Science, Vol.15, pp. 215-227, 1969.
  13. [13] E. M. Rogers, “Diffusion of Innovations,” Free Press, 1983.
  14. [14] H. Yamamoto, I. Okada, N. Koboyashi, and T. Ohta, “Information Channel Effect in Music CD Market: An Agent-based Approach to Winner-Take-All,” J. of the Japan Society for Management Information, Vol.11, No.3, pp. 37-54, 2002. (in Japanese)
  15. [15] Nikkei Institute of Industries and Consumption, “Mechanism of Winning Big Market of Music CD – Data from Consumers’ Life Style and Buying Trends,” Nihon Keizai Shimbun Sha, 2000. (in Japanese)
  16. [16] Nikkei Institute of Industries and Consumption, “Mechanism of Winning Big Market of Music CD – Analysis of Consumers’ Life Style and Buying Trends,” Nihon Keizai Shimbun Sha, 2000. (in Japanese)
  17. [17] G. Grimmett, “Percolation,” Springer-Verlag, 1989.
  18. [18] M. A. Nowak & K. Sigmund, “Evolution of indirect reciprocity by image scoring,” Nature, Vol.393, pp. 573-577, 1998.

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