The Persuasion Context and Results in Online Opinion Seeking: Effects of Message and Source - The Moderating Role of Network Managers

Online opinion networks are areas for social exchange, or conversational networks, made up of individuals actively involved in sharing experiences and opinions concerning matters of mutual interest between consumers or concerning their experience with a given product or service. We pinpoint a gap in the literature regarding how the persuasion process occurs when individuals seek opinions online, including the results process. In an attempt to find an answer, we draw on traditional theories related to information processing. These are mostly taken from the field of psychology and enable us to identify which signals or aspects of communication or opinions the individuals focus their attention on (message and source) and the value attached to such communications as well as how much they impact individuals' purchase decisions, bearing in mind the medium (or online opinion network) in which the opinions are located. Findings from those interviewed support the idea that the quality of information on the Internet, as well as trust in the source of said information, or in the opinion of network users, have an impact on the informational value obtained from involvement in this online opinion seeking and on purchasing decisions. Moreover, depending on the kind of network (firm or brand controlled, review Web sites, and user-controlled nonofficial opinion networks), the quality of the information or trust in the users will have a different bearing in the persuasion process.

[1]  M. Heesacker,et al.  Effects of rhetorical questions on persuasion: A cognitive response analysis. , 1981 .

[2]  J. Rossiter,et al.  The Website Schema , 2004 .

[3]  H. E. Krugman THE IMPACT OF TELEVISION ADVERTISING: LEARNING WITHOUT INVOLVEMENT , 1965 .

[4]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[5]  J. Cacioppo,et al.  Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement , 1983 .

[6]  Chun-Yao Huang,et al.  Traffic metrics and Web 2.0-ness , 2010, Online Inf. Rev..

[7]  Chun-Ming Chang,et al.  Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations , 2007, Int. J. Hum. Comput. Stud..

[8]  Thomas J. Johnson,et al.  In blog we trust? Deciphering credibility of components of the internet among politically interested internet users , 2009, Comput. Hum. Behav..

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

[10]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[11]  K. Chan,et al.  Understanding consumer-to-consumer interactions in virtual communities : the salience of reciprocity , 2010 .

[12]  D. Twedt A multiple factor analysis of advertising readership. , 1952 .

[13]  Tung-Ching Lin,et al.  Factors affecting pass-along email intentions (PAEIs): Integrating the social capital and social cognition theories , 2009, Electron. Commer. Res. Appl..

[14]  Hsiu-Fen Lin,et al.  The role of online and offline features in sustaining virtual communities: an empirical study , 2007, Internet Res..

[15]  Ching-Yuan Huang,et al.  Involvement theory in constructing bloggers' intention to purchase travel products , 2010 .

[16]  Ulrike Cress,et al.  Does the Type of Anonymity Matter? The Impact of Visualization on Information Sharing in Online Groups , 2011, Cyberpsychology Behav. Soc. Netw..

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

[18]  J. Cacioppo,et al.  Personal involvement as a determinant of argument based persuasion , 1981 .

[19]  Chang-Hoan Cho How Advertising Works on the WWW: Modified Elaboration Likelihood Model , 1999 .

[20]  Rebeca San José-Cabezudo,et al.  The Combined Influence of Central and Peripheral Routes in the Online Persuasion Process , 2009, Cyberpsychology Behav. Soc. Netw..

[21]  Jyh-Jeng Wu,et al.  Trust factors influencing virtual community members: A study of transaction communities , 2010 .

[22]  Ronald E. Goldsmith,et al.  Electronic Word-of-Mouth , 2008 .

[23]  Kwoting Fang,et al.  The Post-Adoption Behavior of Online Knowledge Community: Decomposing Customer Value , 2010, J. Comput. Inf. Syst..

[24]  James R. Coyle,et al.  Reconsidering Models of Influence: The Relationship between Consumer Social Networks and Word-of-Mouth Effectiveness , 2007, Journal of Advertising Research.

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

[26]  Gwo‐Guang Lee,et al.  KMS adoption: the effects of information quality , 2009 .

[27]  Eric J. Karson,et al.  Reexamining and Extending the Dual Mediation Hypothesis in an On-line Advertising Context , 2005 .

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

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

[30]  Scott B. MacKenzie,et al.  The Role of Attitude toward the Ad as a Mediator of Advertising Effectiveness: A Test of Competing Explanations: , 1986 .

[31]  Cheryl Burke Jarvis,et al.  The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. , 2005, The Journal of applied psychology.

[32]  Joseph P. Cannon,et al.  An Examination of the Nature of Trust in Buyer–Seller Relationships: , 1997 .

[33]  Bin Wang,et al.  From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers' purchase intention , 2010, Electron. Commer. Res. Appl..

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

[35]  Pranjal Gupta,et al.  How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective , 2010 .

[36]  Ko de Ruyter,et al.  Beyond the Call of Duty: Why Customers Contribute to Firm-hosted Commercial Online Communities , 2007 .