Why recommend a brand face-to-face but not on Facebook? How word-of-mouth on online social sites differs from traditional word-of-mouth

We examine the conceptual difference between consumer electronic word-of-mouth on online social sites (sWOM) such as Facebook and traditional face-to-face word-of-mouth (WOM). We find that consumers are less willing to engage in sWOM than WOM. Such a difference in willingness to offer word-of-mouth can be explained by social risk associated with different communication modes. We show that the difference between people's desire to engage in sWOM and WOM is mediated by perceived social risk and amplified when social risk is made salient. Furthermore, we show that consumers' need to self-enhance mitigates the difference in willingness to offer sWOM versus WOM.

[1]  P. Gillin,et al.  The New Influencers: A Marketer's Guide to the New Social Media , 2007 .

[2]  Alexander J. Rothman,et al.  Consumer decisions in relationships , 2012 .

[3]  Andrew T. Stephen,et al.  Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control , 2013 .

[4]  C. W. Park,et al.  Attachment–Aversion (AA) Model of Customer–Brand Relationships , 2013 .

[5]  Seounmi Youn,et al.  Online Word-of-Mouth (or Mouse): An Exploration of Its Antecedents and Consequences , 2006, J. Comput. Mediat. Commun..

[6]  Jonah A. Berger,et al.  Communication Channels and Word of Mouth: How the Medium Shapes the Message , 2013 .

[7]  R. Baumeister.  A SELF-PRESENTATIONAL VIEW OF SOCIAL PHENOMENA , 1982 .

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

[9]  Derek D. Rucker,et al.  On Braggarts and Gossips: A Self-Enhancement Account of Word-of-Mouth Generation and Transmission , 2012 .

[10]  Eric M. Schwartz,et al.  What Drives Immediate and Ongoing Word of Mouth? , 2011 .

[11]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[12]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[13]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[14]  James M. Leonhardt,et al.  Avoiding the Risk of Responsibility by Seeking Uncertainty: Responsibility Aversion and Preference for Indirect Agency When Choosing for Others , 2011 .

[15]  Mark R. Leary,et al.  Responses to Social Exclusion: Social Anxiety, Jealousy, Loneliness, Depression, and Low Self-Esteem , 1990 .

[16]  C. Sedikides,et al.  Self-Enhancement: Food for Thought , 2008, Perspectives on psychological science : a journal of the Association for Psychological Science.

[17]  C. Sedikides,et al.  Quantifying self-motives: functional links between dispositional desires , 2011 .

[18]  A. Parasuraman,et al.  The Behavioral Consequences of Service Quality , 1996 .

[19]  Shintaro Okazaki.  Determinant factors of mobile‐based word‐of‐mouth campaign referral among Japanese adolescents , 2008 .

[20]  D. A. Kenny,et al.  Estimating and testing mediation and moderation in within-subject designs. , 2001, Psychological methods.

[21]  A. Rangaswamy,et al.  The Impact of New Media on Customer Relationships , 2010 .

[22]  Ellen Garbarino,et al.  GENDER DIFFERENCES IN THE PERCEIVED RISK OF BUYING ONLINE AND THE EFFECTS OF RECEIVING A SITE RECOMMENDATION , 2004 .

[23]  Andrew D. Gershoff,et al.  Consumer Acceptance of Online Agent Advice: Extremity and Positivity Effects , 2003 .

[24]  Ann E. Schlosser.  Can including pros and cons increase the helpfulness and persuasiveness of online reviews? The interactive effects of ratings and arguments ☆ , 2011 .

[25]  N. Mandel.  Shifting Selves and Decision Making: The Effects of Self-Construal Priming on Consumer Risk-Taking , 2003 .

[26]  John G. Lynch,et al.  Spotlights, Floodlights, and the Magic Number Zero: Simple Effects Tests in Moderated Regression , 2012 .

[27]  F. Sultan,et al.  Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers? A Large-Scale Exploratory Empirical Study , 2005 .