Effects of attribute and valence of e-WOM on message adoption: Moderating roles of subjective knowledge and regulatory focus

The current study proposes a model to test whether online review valence and attributes have an effect on credibility, and whether regulatory focus and subjective knowledge have moderating effects. Three hundred nineteen university students participated in online experiments with a 2 (positive vs. negative review valence) by 2 (objective vs. subjective review attributes) between subject design. The experiment demonstrated that objective and negative online reviews have a significant positive and negative impact, respectively, on message credibility, which affects review adoption. The results also showed that the moderating effect produced by objective information and a consumer's subjective knowledge is supported. This study contributes to explaining the inconsistent results between review valence/attribute and credibility found in previous studies.

[1]  B. Ratchford,et al.  The Impact of the Internet on Information Search for Automobiles , 2003 .

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

[3]  L. J. Harrison‐Walker The Measurement of Word-of-Mouth Communication and an Investigation of Service Quality and Customer Commitment As Potential Antecedents , 2001 .

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

[5]  J. W. Hutchinson,et al.  Dimensions of Consumer Expertise , 1987 .

[6]  Pei-Yu Sharon Chen,et al.  The Impact of Online Recommendations and Consumer Feedback on Sales , 2004, ICIS.

[7]  J. Cacioppo,et al.  Attitudes and Persuasion: Classic and Contemporary Approaches , 1981 .

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

[9]  Jacquelyn A. Burkell,et al.  Believe it or not: Factors influencing credibility on the Web , 2002, J. Assoc. Inf. Sci. Technol..

[10]  K.S. Freeman,et al.  Effect of Contact Information on the Credibility of Online Health Information , 2009, IEEE Transactions on Professional Communication.

[11]  Mira Lee,et al.  Effects of Valence and Extremity of eWOM on Attitude toward the Brand and Website , 2009 .

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

[13]  V. Mahajan,et al.  Introduction Strategy for New Products with Positive and Negative Word-of-Mouth , 1984 .

[14]  R. Goldsmith,et al.  Measuring Motivations for Online Opinion Seeking , 2006 .

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

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

[17]  Girish N. Punj The formulation, empirical specification and testing of a model of consumer information search behavior for new automobiles , 1983 .

[18]  M. Brucks The Effects of Product Class Knowledge on Information Search Behavior , 1985 .

[19]  Christian H. Jordan,et al.  Motivation by positive or negative role models: regulatory focus determines who will best inspire us. , 2002, Journal of personality and social psychology.

[20]  Fred Selnes,et al.  Subjective and Objective Measures of Product Knowledge Contrasted , 1986 .

[21]  B WhinstonAndrew,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008 .

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

[23]  Mira Lee,et al.  Electronic word of mouth (eWOM) , 2009 .

[24]  Huiuk Yi,et al.  Effects of the Valence of eWOM on Perceived Message Credibility , 2010 .

[25]  E. Clemons,et al.  When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry , 2006 .

[26]  Sung-Joon Yoon,et al.  Is the Internet More Effective Than Traditional Media? Factors Affecting the Choice of Media , 2001, Journal of Advertising Research.

[27]  Alice M. Tybout,et al.  Cognitive and Affective Responses to Advertising , 1988 .

[28]  Jae-Nam Lee,et al.  Understanding the product information inference process in electronic word-of-mouth: An objectivity-subjectivity dichotomy perspective , 2009, Inf. Manag..

[29]  Fei Xue,et al.  The Effects of Product Involvement and Prior Experience on Chinese Consumers’ Responses to Online Word of Mouth , 2010 .

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

[31]  Jang-Sun Hwang,et al.  How Consumers Evaluate eWOM (Electronic Word-of-Mouth) Messages , 2009, Cyberpsychology Behav. Soc. Netw..

[32]  Lisa R. Klein,et al.  Consumer search for information in the digital age: An empirical study of prepurchase search for automobiles , 2003 .

[33]  E. Tory Higgins,et al.  How Self-Regulation Creates Distinct Values: The Case of Promotion and Prevention Decision Making , 2002 .

[34]  E. Higgins,et al.  Beyond pleasure and pain. , 1997, The American psychologist.

[35]  Bin Gu,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..

[36]  Stephanie Watts,et al.  Capitalizing on Content: Information Adoption in Two Online communities , 2008, J. Assoc. Inf. Syst..

[37]  Jo Mackiewicz,et al.  Assertions of Expertise in Online Product Reviews , 2010 .

[38]  Ingoo Han,et al.  The Effects of Consumer Knowledge on Message Processing of Electronic Word of Mouth via Online Consumer Reviews , 2008, ECIS.

[39]  Christine Moorman,et al.  Subjective Knowledge, Search Locations, and Consumer Choice , 2004 .

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

[41]  John L. Swasy,et al.  Consumer Skepticism of Advertising Claims: Testing Hypotheses from Economics of Information , 1990 .

[42]  David E. Kanouse,et al.  Explaining Negativity Biases in Evaluation and Choice Behavior: Theory and Research , 1984 .

[43]  Melinda L. Andrews,et al.  Building Trust with Consensus Information , 2006 .

[44]  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.

[45]  Susan T. Fiske,et al.  Attention and weight in person perception: The impact of negative and extreme behavior. , 1980 .

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

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

[48]  J. Cacioppo,et al.  The Effects of Involvement on Responses to Argument Quantity and Quality: Central and Peripheral Routes to Persuasion , 1984 .

[49]  Shuk Ying Ho,et al.  Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective , 2005, Inf. Syst. Res..

[50]  R. E. Burnkrant,et al.  Informational and Normative Social Influence in Buyer Behavior , 1975 .

[51]  J. Arndt Role of Product-Related Conversations in the Diffusion of a New Product , 1967 .

[52]  Robert M. Schindler,et al.  Internet forums as influential sources of consumer information , 2001 .

[53]  Timothy C. Brock,et al.  Effects of Source Characteristics on Cognitive Responses and Persuasion , 2014 .

[54]  S. Ramaswami,et al.  Consumers’ Responses to Negative Word-of-Mouth Communication: An Attribution Theory Perspective , 2001 .

[55]  L. Flynn,et al.  A Short, Reliable Measure of Subjective Knowledge , 1999 .

[56]  Kelly L. Haws,et al.  An Assessment of Chronic Regulatory Focus Measures , 2009 .

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

[58]  Subhash Sharma,et al.  Identification and Analysis of Moderator Variables , 1981 .

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

[60]  N. Liberman,et al.  Distinguishing Gains from Nonlosses and Losses from Nongains: A Regulatory Focus Perspective on Hedonic Intensity , 2000 .

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