The Impact of eWOM Message Characteristics on the Perceived Effectiveness of Online Consumer Reviews

This study seeks to extend the emerging body and scope of research on consumers' attitudinal and behavioral responses to online consumer reviews by examining the role of message content characteristics. From this perceptive, this research broadens the understanding and importance of message characteristics to the persuasiveness of online consumer reviews. Specifically, this study investigates how consumers process online consumer reviews within the context of message characteristics, such as message type (attribute centric and benefit centric) and message valence (positive, negative, and neutral), and how this influences consumers' attitudes toward the review and product, perceived credibility of the reviewer, and purchase intention. Data indicate that message valence of online consumer reviews has a persuasive effect on consumers' attitudes toward the review and product, perceived source credibility, and purchase intention. Moreover, message valence interacts with message type, providing a more complex picture of product review effectiveness. Finally, data indicate that benefit-centric reviews result in higher recall than attribute-centric reviews.

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

[2]  Franziska Marquart,et al.  Communication and persuasion : central and peripheral routes to attitude change , 1988 .

[3]  Do-Hyung Park,et al.  eWOM overload and its effect on consumer behavioral intention depending on consumer involvement , 2008, Electron. Commer. Res. Appl..

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

[5]  Brandon Van Der Heide,et al.  Evaluating the Wisdom of Strangers: The Perceived Credibility of Online Consumer Reviews on Yelp , 2015, J. Comput. Mediat. Commun..

[6]  Richard P. Bagozzi,et al.  Attitude organization and the attitude–behavior relationship. , 1979 .

[7]  T. Ostrom The relationship between the affective, behavioral, and cognitive components of attitude. , 1969 .

[8]  G. Belch,et al.  An Examination of Comparative and Noncomparative Television Commercials: The Effects of Claim Variation and Repetition on Cognitive Response and Message Acceptance , 1981 .

[9]  Kyung Hyan Yoo,et al.  What Motivates Consumers to Write Online Travel Reviews? , 2008, J. Inf. Technol. Tour..

[10]  Nada Nasr Bechwati,et al.  Word of Mouse , 2008 .

[11]  M. Sherif,et al.  The psychology of attitudes. , 1946, Psychological review.

[12]  Kathy Hammond,et al.  Measuring the impact of positive and negative word of mouth on brand purchase probability , 2008 .

[13]  G. Lau,et al.  Individual and Situational Factors Influencing Negative Word‐of‐Mouth Behaviour , 2009 .

[14]  Allen Newell,et al.  Human Problem Solving. , 1973 .

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

[16]  Roobina Ohanian Construction and Validation of a Scale to Measure Celebrity Endorsers' Perceived Expertise, Trustworthiness, and Attractiveness , 1990 .

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

[18]  Lawrence J. Marks,et al.  An examination into the effectiveness of two-sided comparative price appeals , 1988 .

[19]  Iris Vessey,et al.  Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature* , 1991 .

[20]  David E. Kanouse,et al.  Negativity in evaluations. , 1987 .

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

[22]  Ritu Agarwal,et al.  Cognitive Fit in Requirements Modeling: A Study of Object and Process Methodologies , 1996, J. Manag. Inf. Syst..

[23]  Erran Carmel,et al.  The Effectiveness of Different Representations for Managerial Problem Solving: Comparing Tables and Maps , 1997 .

[24]  Ingoo Han,et al.  The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement , 2007, Int. J. Electron. Commer..

[25]  Cheryl L. Dunn,et al.  An Investigation of Localization as an Element of Cognitive Fit in Accounting Model Representations , 2001, Decis. Sci..

[26]  M. Holbrook,et al.  Assessing the Role of Emotions as Mediators of Consumer Responses to Advertising , 1987 .

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

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

[29]  Ji Young Lee,et al.  Does source matter? Examining source effects in online product reviews , 2012, Comput. Hum. Behav..

[30]  Wayne D. Hoyer,et al.  An Integrative Framework for Understanding Two-sided Persuasion , 1994 .

[31]  R. Schindler,et al.  Perceived helpfulness of online consumer reviews: The role of message content and style: Perceived helpfulness of online consumer reviews , 2012 .

[32]  Ainsworth Bailey,et al.  Consumer Awareness and Use of Product Review Websites , 2005 .

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

[34]  Peter H. Ditto,et al.  Motivated Skepticism: Use of Differential Decision Criteria for Preferred and Nonpreferred Conclusions , 1992 .

[35]  H. Cheong,et al.  Consumers’ Reliance on Product Information and Recommendations Found in UGC , 2008 .

[36]  Suparna Goswami,et al.  An Alternative Fit through Problem Representation in Cognitive Fit Theory , 2012, J. Database Manag..

[37]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[38]  R. Petty,et al.  Message Framing and Persuasion: A Message Processing Analysis , 1996 .

[39]  Ingoo Han,et al.  The Different Effects of Online Consumer Reviews on Consumers' Purchase Intentions Depending on Trust in Online Shopping Mall: An Advertising Perspective , 2011, Internet Res..

[40]  Bo Sophia Xiao,et al.  The Impact of Observational Learning and Electronic Word of Mouth on Consumer Purchase Decisions: The Moderating Role of Consumer Expertise and Consumer Involvement , 2012, 2012 45th Hawaii International Conference on System Sciences.

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

[42]  P. Homer,et al.  Message Framing and the Interrelationships among Ad-Based Feelings, Affect, and Cognition , 1992 .

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

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

[45]  Dennis F. Galletta,et al.  Cognitive Fit: An Empirical Study of Information Acquisition , 1991, Inf. Syst. Res..

[46]  Kar Yan Tam,et al.  The Effects of Information Format and Shopping Task on Consumers' Online Shopping Behavior: A Cognitive Fit Perspective , 2004, J. Manag. Inf. Syst..

[47]  P. Bone Word-of-mouth effects on short-term and long-term product judgments , 1995 .

[48]  R. Schindler,et al.  Perceived Helpfulness of Online Consumer Reviews: The Role of Message Content and Style , 2010 .

[49]  Paul D. Bolls,et al.  The effects of television commercial pacing on viewers' attention and memory , 2003 .

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

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

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