Examining the moderating effect of inconsistent reviews and its gender differences on consumers' online shopping decision

This study examines the role of inconsistent reviews in online shopping decision.We examine its moderating effect and gender differences in a trust-based model.Cognitive trust affects emotional trust, which further leads to purchase intention.Emotional trust affects purchase intention more in the inconsistent review context.The moderating effect of inconsistent reviews is stronger for female consumers. The prevalence of social media has provided consumers with many opportunities to post online reviews on a wide range of products on the Internet. In this study, we attempt to investigate the moderating effect of inconsistent reviews (i.e., a mix of positive and negative reviews) on consumers' purchase decision. We further examine whether the effect will differ from female to male consumers.We explain the moderating effect and its gender differences based on the theory of reasoned action, trust literature, and information processing literature. The research hypotheses are empirically tested in a laboratory experiment using structural equation modeling approach. Our findings show that consumers' cognitive trust to online retailers affects emotional trust, which further leads to purchase intention. When consumers are exposed to inconsistent reviews, the influence of emotional trust on purchase intention is significantly stronger. Moreover, the moderating effect of inconsistent reviews is stronger for female consumers than for male consumers. We expect that this study can enrich the understanding of how inconsistent reviews play a role in consumers' online shopping decision. Online retailers may apply our findings and leverage the influence of online consumer reviews in social media. Implications for both researchers and practitioners are discussed.

[1]  Gareth H. Griffiths,et al.  'Arrivederci CIAO.com, Buongiorno Bing.com' - Electronic word-of-mouth (eWOM), antecedences and consequences , 2011, Int. J. Inf. Manag..

[2]  Heshan Sun,et al.  Understanding User Revisions When Using Information Systems Features: Adaptive System Use and Triggers , 2012, MIS Q..

[3]  Peeter W. J. Verlegh,et al.  The Firm's Management of Social Interactions , 2005 .

[4]  Eusebio Scornavacca,et al.  Three decades of research on consumer adoption and utilization of electronic banking channels: A literature analysis , 2012, Decis. Support Syst..

[5]  S. Chaiken Heuristic versus systematic information processing and the use of source versus message cues in persuasion. , 1980 .

[6]  Kai H. Lim,et al.  Consumer's decision to shop online: The moderating role of positive informational social influence , 2011, Inf. Manag..

[7]  Jonah Berger,et al.  Positive Effects of Negative Publicity: When Negative Reviews Increase Sales , 2009, Mark. Sci..

[8]  M. Diehl,et al.  Effects of Attitudinal Ambivalence on Information Processing and Attitude-Intention Consistency☆ , 1997 .

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

[10]  Wei-Ning Yang,et al.  A study of purchasing behavior in Taiwan's online auction websites: Effects of uncertainty and gender differences , 2012, Internet Res..

[11]  Anindya Ghose,et al.  Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets , 2008, Inf. Syst. Res..

[12]  John F. Sherry,et al.  The Sacred and the Profane in Consumer Behavior: Theodicy on the Odyssey , 1989 .

[13]  Shelly Chaiken,et al.  A theory of heuristic and systematic information processing. , 2012 .

[14]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[15]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[16]  Joan Meyers-Levy,et al.  Gender Differences in the Use of Message Cues and Judgments , 1991 .

[17]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[18]  Angelika Dimoka,et al.  The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation , 2006, Inf. Syst. Res..

[19]  Detmar W. Straub,et al.  An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research , 2011 .

[20]  Steven John Simon,et al.  The impact of culture and gender on web sites: an empirical study , 2000, DATB.

[21]  Shelly Rodgers,et al.  Gender and e-commerce: an exploratory study , 2003, Journal of Advertising Research.

[22]  R. Petty,et al.  Elaboration as a Determinant of Attitude Strength: Creating Attitudes That Are Persistent, Resistant, and Predictive of Behavior , 1995 .

[23]  Kai H. Lim,et al.  Effects of conflicting aggregated rating on eWOM review credibility and diagnosticity: The moderating role of review valence , 2012, Decis. Support Syst..

[24]  Russell N. Laczniak,et al.  The effects of gender on processing advertising and product trial information , 2006 .

[25]  Joan Meyers-Levy,et al.  Gender Differences in the Use of Message Cues and Judgments , 1991 .

[26]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[27]  Shelly Chaiken,et al.  The heuristic-systematic model in its broader context. , 1999 .

[28]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[29]  J. H. Davis,et al.  An integrative model of organizational trust, Academy of Management Review, : . , 1995 .

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

[31]  Tibert Verhagen,et al.  Negative online word-of-mouth: Behavioral indicator or emotional release? , 2013, Comput. Hum. Behav..

[32]  June Cotte,et al.  The Effects of Ad Context and Gender on the Identification of Visually Incongruent Products , 2011 .

[33]  Kai H. Lim,et al.  Web strategies to promote internet shopping: is cultural-customization needed? , 2009 .

[34]  Joshua M. Davis,et al.  A heuristic-systematic model of end-user information processing when encountering IS exceptions , 2013, Inf. Manag..

[35]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

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

[37]  Mark Rotteveel,et al.  Ambivalence and decisional conflict as a cause of psychological discomfort: feeling tense before jumping off the fence , 2009 .

[38]  Xinran Y. Lehto,et al.  Gender differences in online travel information search: Implications for marketing communications on the internet , 2007 .

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

[40]  Izak Benbasat,et al.  Interactive Decision Aids for Consumer Decision Making in E-Commerce: The Influence of Perceived Strategy Restrictiveness , 2009, MIS Q..

[41]  Jaideep Sengupta,et al.  Effects of Inconsistent Attribute Information on the Predictive Value of Product Attitudes: Toward a Resolution of Opposing Perspectives , 2002 .

[42]  Donal E. Carlston,et al.  Negativity and extremity biases in impression formation: A review of explanations. , 1989 .

[43]  Danny Miller,et al.  Spotting management fads. , 2002, Harvard business review.

[44]  J. Chiou,et al.  Should a company have message boards on its Web sites? , 2003 .

[45]  Rolph E. Anderson,et al.  Nederlandse samenvatting en bewerking van 'Multivariate data analysis, 4th Edition, 1995' , 1998 .

[46]  Ilyoo B. Hong,et al.  The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust , 2011, Int. J. Inf. Manag..

[47]  Izak Benbasat,et al.  Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites , 2006, Inf. Syst. Res..

[48]  Guohua Wu,et al.  The effects of Web assurance seals on consumers' initial trust in an online vendor: A functional perspective , 2010, Decis. Support Syst..

[49]  Hsiu-Fen Lin,et al.  An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust , 2011, Int. J. Inf. Manag..

[50]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[51]  J. Hair Multivariate data analysis , 1972 .

[52]  Enrique P. Becerra,et al.  Effects of trust beliefs on consumers' online intentions , 2011 .

[53]  Hyunsun Park,et al.  Effects of various characteristics of social commerce (s-commerce) on consumers' trust and trust performance , 2013, Int. J. Inf. Manag..

[54]  Bernard C. Y. Tan,et al.  A Cross-Cultural Study on Escalation of Commitment Behavior in Software Projects , 2000, MIS Q..

[55]  D. Albarracín,et al.  Forming attitudes that predict future behavior: a meta-analysis of the attitude-behavior relation. , 2006, Psychological bulletin.

[56]  Marie-Odile Richard,et al.  A Proposed Model of Online Consumer Behavior: Assessing the Role of Gender , 2010 .

[57]  Heshan Sun,et al.  Sellers' Trust and Continued Use of Online Marketplaces , 2010, J. Assoc. Inf. Syst..

[58]  Christy M. K. Cheung,et al.  Understanding consumer trust in Internet shopping: A multidisciplinary approach , 2006 .

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

[60]  J. Lewis,et al.  Trust as a Social Reality , 1985 .

[61]  Ingoo Han,et al.  The effect of negative online consumer reviews on product attitude: An information processing view , 2008, Electron. Commer. Res. Appl..

[62]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[63]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[64]  Alex S. L. Tsang,et al.  Is a “star” worth a thousand words?: The interplay between product‐review texts and rating valences , 2009 .

[65]  Feng-Yang Kuo,et al.  An exploratory study of cognitive effort involved in decision under Framing - an application of the eye-tracking technology , 2009, Decis. Support Syst..

[66]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[67]  P. Chatterjee,et al.  Online Reviews: Do Consumers Use Them? , 2006 .

[68]  Shelly Chaiken,et al.  The Heuristic-Systematic Model of Social Information Processing , 2002 .

[69]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[70]  Hans Stubbe Solgaard,et al.  Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior , 2004, Int. J. Inf. Manag..

[71]  Izak Benbasat,et al.  Understanding Customer Trust in Agent-Mediated Electronic Commerce, Web-Mediated Electronic Commerce, and Traditional Commerce , 2004, Inf. Technol. Manag..

[72]  Izak Benbasat,et al.  Do I Trust You Online, and If So, Will I Buy? An Empirical Study of Two Trust-Building Strategies , 2006, J. Manag. Inf. Syst..

[73]  E. Wong,et al.  EXPLORING THE ORIGINS AND INFORMATION PROCESSING DIFFERENCES BETWEEN MEN AND WOMEN: IMPLICATIONS FOR ADVERTISERS , 2010 .

[74]  Arik Ragowsky,et al.  Establishing Trust in Electronic Commerce Through Online Word of Mouth: An Examination Across Genders , 2008, J. Manag. Inf. Syst..

[75]  S. Sen,et al.  Why are you telling me this? An examination into negative consumer reviews on the Web , 2007 .