Is a most helpful eWOM review really helpful? The impact of conflicting aggregate valence and consumer's goals on product attitude

– The purpose of this paper is to analyze the effect of signaling a review as the most helpful review according to other users’ votes on product attitude. Thus, the first study focuses on the influence of signaling a review as the most helpful on consumer attitude and analyzes whether the interaction between that signaled review and incongruent aggregate information in valence clarify the main effect. Additionally, the authors further investigate whether the level of fit between the consumer’s goals and the content of the signaled review moderates the initial effect. , – The authors conducted two experiments: a 3 (presence of most helpful review) × 2 (overall valence) between-subjects design and a 2 (presence of a most helpful review) × 3 (level of fit between the consumers’ goals and the most helpful review content) × 2 (overall valence) design. , – The results confirm that the presence of a “most helpful” review whose valence is incongruent with the overall valence of the reviews significantly impacts attitude towards the product. Specifically, the authors found that the impact of a review which has been voted as the most helpful on consumers’ attitudes depends on: the congruity between the valence of the most helpful review and the overall average valence of all the reviews received by the product; and the congruity between the consumer’s goals and the most helpful review content. , – This paper contributes to the electronic WOM literature by examining how signaling a review as the most helpful affects attitude, being that effect moderated by the congruency between that signaled review and the aggregated overall valence of the reviews and the level of fit with the consumer’s goals.

[1]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[2]  P. Herr,et al.  Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective , 1991 .

[3]  Jason Q. Zhang,et al.  When does electronic word-of-mouth matter? A study of consumer product reviews☆ , 2010 .

[4]  R. Wyer Information redundancy, inconsistency, and novelty and their role in impression formation , 1970 .

[5]  M. F. Luce,et al.  Constructive Consumer Choice Processes , 1998 .

[6]  Andrew D. Gershoff,et al.  Recommendation or Evaluation? Task Sensitivity in Information Source Selection , 2001 .

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

[8]  Mohammad Reza Jalilvand,et al.  The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TBP) , 2012, Internet Res..

[9]  Dong Li,et al.  Effects of Aggregate Rating on eWOM Acceptance: An Attribution Theory Perspective , 2010, PACIS.

[10]  Jun Yang,et al.  Experiential goods with network externalities effects: An empirical study of online rating system , 2010 .

[11]  Susan M. Broniarczyk,et al.  Integrating Multiple Opinions: The Role of Aspiration Level on Consumer Response to Critic Consensus , 1998 .

[12]  E. Deci,et al.  The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior , 2000 .

[13]  Elena García Barriocanal,et al.  Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content , 2012, Electron. Commer. Res. Appl..

[14]  Robin L. Nabi,et al.  The Persuasive Effect of Host and Audience Reaction Shots in Television Talk Shows , 2003 .

[15]  Eric J. Johnson,et al.  Information displays and preference reversals , 1988 .

[16]  Wei Peng,et al.  Consumer reviews: reviewer avatar facial expression and review valence , 2013, Internet Res..

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

[18]  Cheol Park,et al.  Information direction, website reputation and eWOM effect: A moderating role of product type , 2009 .

[19]  M. Seraj We Create, We Connect, We Respect, Therefore We Are: Intellectual, Social, and Cultural Value in Online Communities , 2012 .

[20]  Raffaele Filieri,et al.  E-WOM and Accommodation , 2014 .

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

[22]  R. Bagozzi,et al.  Goal Setting and Goal Striving in Consumer Behavior , 1999 .

[23]  Mark S. Johnson,et al.  Effects of consumer goals on attribute weighting, overall satisfaction, and product usage , 2001 .

[24]  H. Raghav Rao,et al.  Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration , 2009, Inf. Syst. Res..

[25]  Stephanie Watts,et al.  Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption , 2003, Inf. Syst. Res..

[26]  G. Jin,et al.  Price, Quality and Reputation: Evidence from an Online Field Experiment , 2006 .

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

[28]  Jehoshua Eliashberg,et al.  Multiple Business Goals Sets as Determinants of Marketing Channel Conflict: An Empirical Study , 1984 .

[29]  Jin Li,et al.  Online Persuasion: How the Written Word Drives WOM , 2011, Journal of Advertising Research.

[30]  Jung Lee,et al.  What Makes People Read an Online Review? The Relative Effects of Posting Time and Helpfulness on Review Readership , 2013, Cyberpsychology Behav. Soc. Netw..

[31]  Lauren I. Labrecque,et al.  The Assimilative and Contrastive Effects of Word-of-Mouth Volume: An Experimental Examination of Online Consumer Ratings , 2011 .

[32]  M. Spence Job Market Signaling , 1973 .

[33]  Suman Basuroy,et al.  How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets , 2003 .

[34]  J. Aaker,et al.  Additivity versus attenuation : the role of culture in the resolution of information incongruity , 1997 .

[35]  M. F. Luce,et al.  Correlation, conflict, and choice. , 1993 .

[36]  Tülin Erdem An Empirical Analysis of Umbrella Branding , 1998 .

[37]  J. Chiou,et al.  How Much can you Trust Online Information? Cues for Perceived Trustworthiness of Consumer-generated Online Information , 2011 .

[38]  Dina Mayzlin,et al.  Promotional Reviews: An Empirical Investigation of Online Review Manipulation , 2012 .

[39]  Qing Cao,et al.  Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach , 2011, Decis. Support Syst..

[40]  Matthew K. O. Lee,et al.  The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities , 2008, Internet Res..

[41]  John A Bargh,et al.  Liking is for doing: the effects of goal pursuit on automatic evaluation. , 2004, Journal of personality and social psychology.

[42]  Geng Cui,et al.  Terms of Use , 2003 .

[43]  A. Rao,et al.  No Pain, No Gain: A Critical Review of the Literature on Signaling Unobservable Product Quality , 2000 .

[44]  Zhilin Yang,et al.  Market signals: web site investment and physical store existence , 2014 .

[45]  Bin Gu,et al.  The relationship between retailer-hosted and third-party hosted WOM sources and their influence on retailer sales , 2012, Electron. Commer. Res. Appl..

[46]  Jehoshua Eliashberg,et al.  New Product Announcement Signals and Incumbent Reactions , 1995 .

[47]  Francesca Righetti,et al.  The benefits of interpersonal regulatory fit for individual goal pursuit. , 2011, Journal of personality and social psychology.

[48]  F. Heider The psychology of interpersonal relations , 1958 .

[49]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[50]  Yubo Chen,et al.  The Role of Marketing in Social Media: How Online Consumer Reviews Evolve , 2011 .

[51]  Dean Tjosvold,et al.  Goal interdependence and quality in services marketing , 1995 .

[52]  John W. Payne,et al.  Heuristic Search Processes in Decision Making , 1976 .

[53]  Oliver P. Heil,et al.  The Interface between Competitive Market Signaling and Antitrust Law , 1994 .

[54]  Pradeep Racherla,et al.  Perceived 'usefulness' of online consumer reviews: An exploratory investigation across three services categories , 2012, Electron. Commer. Res. Appl..

[55]  Erin M. Steffes,et al.  Social ties and online word of mouth , 2009, Internet Res..

[56]  R. Batra,et al.  The Role of Mood in Advertising Effectiveness , 1990 .

[57]  R. Cialdini Influence: Science and Practice , 1984 .

[58]  Philip Fei Wu In Search of Negativity Bias: An Empirical Study of Perceived Helpfulness of Online Reviews , 2013 .

[59]  Huaping Chen,et al.  Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..

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

[61]  Dale T. Miller,et al.  Norm theory: Comparing reality to its alternatives , 1986 .

[62]  Victoria D. Bush,et al.  What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature , 2014 .

[63]  A. Sela,et al.  Variety, Vice, and Virtue: How Assortment Size Influences Option Choice , 2008 .

[64]  Andrew Whinston,et al.  The Dynamics of Online Word-of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry , 2008 .

[65]  Michael D. Smith,et al.  All Reviews are Not Created Equal: The Disaggregate Impact of Reviews and Reviewers at Amazon.Com , 2008 .

[66]  Michelle L. Peterman The effects of concrete and abstract consumer goals on information processing , 1997 .

[67]  Valerie Stevenson,et al.  How are we doing? , 1993, Pennsylvania medicine.