New Product Diffusion: A Dual Word-Of-Mouth Perspective

Word-of-Mouth plays its great important role on the base of social network in affecting consumers’ shopping behaviour. However, it is little known how firms make a self-suitable marketing strategy according to both online and offline WOM effect in their product diffusion. This article investigates a new product diffusion process taking both offline WOM and online WOM effect into consideration. Specifically, we compare three marketing strategies by predicting product diffusion level during its product life cycle and assist managers to improve cost efficiency. The findings indicate that product peak sales rate and cumulative sales at peak time would be highest when managers market their products only through the Internet. However, product peak adopting time is not determined by the strategy which the manager takes but impacted by the relationship between coefficients. Parameter analysis is further provided to extract more managerial insights.

[1]  S. Kalish A New Product Adoption Model with Price, Advertising, and Uncertainty , 1985 .

[2]  Barry Berman,et al.  How to Delight Your Customers , 2005 .

[3]  V. Mahajan,et al.  Innovation Diffusion and New Product Growth Models in Marketing , 1979 .

[4]  Hugo Liu,et al.  Social Network Profiles as Taste Performances , 2007, J. Comput. Mediat. Commun..

[5]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[6]  Chieh-Peng Lin,et al.  Assessing the mediating role of online social capital between social support and instant messaging usage , 2011, Electron. Commer. Res. Appl..

[7]  N. Lee,et al.  Word of mouth communication within online communities: Conceptualizing the online social network , 2007 .

[8]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[9]  V. Mahajan,et al.  Diffusion of New Products: Empirical Generalizations and Managerial Uses , 1995 .

[10]  Michael Trusov,et al.  Determining Influential Users in Internet Social Networks , 2010 .

[11]  K. Pauwels,et al.  Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site , 2009 .

[12]  Nicholas Christakis,et al.  The Taste for Privacy: An Analysis of College Student Privacy Settings in an Online Social Network , 2008, J. Comput. Mediat. Commun..

[13]  Christian Terwiesch,et al.  Managing Demand and Sales Dynamics in New Product Diffusion Under Supply Constraint , 2002, Manag. Sci..

[14]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[15]  John Hagel,et al.  The real value of on-line communities , 1999 .

[16]  Bruce R. Robinson,et al.  Dynamic Price Models for New-Product Planning , 1975 .

[17]  Balaji Rajagopalan,et al.  Knowledge-sharing and influence in online social networks via viral marketing , 2003, CACM.

[18]  Olivier Toubia,et al.  Deriving Value from Social Commerce Networks , 2009 .

[19]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[20]  Yung-Ming Li,et al.  Identifying influential reviewers for word-of-mouth marketing , 2010, Electron. Commer. Res. Appl..

[21]  Long Wang,et al.  Social dilemmas in an online social network: The structure and evolution of cooperation , 2007, physics/0701323.

[22]  Donald R. Lehmann,et al.  A Meta-Analysis of Applications of Diffusion Models , 1990 .

[23]  David P. Myatt,et al.  Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning , 2009 .

[24]  Tomás Bayón,et al.  The effect of word of mouth on services switching , 2004 .

[25]  David Firth,et al.  Predicting Internet-based Online Community Size and Time to Peak Membership Using the Bass Model of New Product Growth , 2006 .

[26]  Marsha L. Richins Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study , 1983 .

[27]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[28]  James F. Engel,et al.  Word-of-mouth Communication by the Innovator , 1969 .

[29]  Andy Sernovitz,et al.  Word of Mouth Marketing: How Smart Companies Get People Talking , 2006 .

[30]  David Godes,et al.  Firm-Created Word-of-Mouth Communication: Evidence from a Field Test , 2009, Mark. Sci..

[31]  Yong Liu Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .

[32]  Amar Cheema,et al.  The Effect of Need for Uniqueness on Word of Mouth , 2010 .