Antecedents of Online Reviews’ Usage and Purchase Influence: An Empirical Comparison of U.S. and Korean Consumers

We propose a model linking consumer characteristics (consumer susceptibility to interpersonal influence and Internet shopping experience), attitude toward online reviews (perceived usefulness), and the outcome of online reviews (usage frequency and purchase influence). We advance hypotheses on the interrelationships among these factors and on the moderating effects of national culture on some of the relationships. We test the hypotheses on survey data collected from U.S. and Korean consumers. The results show that national culture has important moderating effects on the relationships among online reviews and its antecedents. The results suggest that an attitude-oriented marketing communication strategy is more effective for Korean consumers while a behavior-oriented strategy is more effective for U.S. consumers.

[1]  John Eighmey.  Profiling user responses to commercial web sites , 1997 .

[2]  G. Hofstede,et al.  Cultures and Organizations: Software of the Mind , 1991 .

[3]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[4]  Gerald L. Lohse,et al.  Consumer Buying Behavior on the Internet: Findings from Panel Data , 2000 .

[5]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .

[6]  Edward C. Malthouse,et al.  The growth of interactions and dialogs in interactive marketing , 2007 .

[7]  R. Bagozzi,et al.  Intentional social action in virtual communities , 2002 .

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

[9]  Dee G. Appley.  Beyond Culture , 1977 .

[10]  Joel B. Cohen,et al.  Informational Social Influence and Product Evaluation. , 1972 .

[11]  F. Sultan,et al.  Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers? A Large-Scale Exploratory Empirical Study , 2005 .

[12]  Paul Richardson.  Internet Marketing: Readings and Online Resources , 2000 .

[13]  Donnavieve N. Smith,et al.  Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets , 2005 .

[14]  Jo ChangYeon.  From ‘Being-Seen-Advertising’ to ‘Being-Experienced-Advertising’ : A Exploratory Study on the Influence of Hologram on Advertising , 2009 .

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

[16]  R. Winer.  New Communications Approaches in Marketing: Issues and Research Directions , 2009 .

[17]  Christopher K. Hsee,et al.  Cross-National Differences in Risk Preference and Lay Predictions , 1999 .

[18]  Saeed Samiee,et al.  The Internet and International Marketing: Is There a Fit? , 1998 .

[19]  Sridhar Balasubramanian,et al.  Mobile Marketing: A Synthesis and Prognosis , 2009 .

[20]  Richard G. Netemeyer,et al.  Measurement of Consumer Susceptibility to Interpersonal Influence , 1989 .

[21]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[22]  J. Farley,et al.  The state of interactive marketing in seven countries: Interactive marketing comes of age , 2005 .

[23]  Lisa R. Klein,et al.  The Internet and International Marketing , 1996 .

[24]  Cheol Park,et al.  A cross‐cultural comparison of Internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness , 2003 .

[25]  Barbara Bickart,et al.  Expanding the Scope of Word of Mouth: Consumer-to-Consumer Information on the Internet , 2002 .

[26]  S. Cavusgil,et al.  Executive Insights: International Partnering—A Systematic Framework for Collaborating with Foreign Business Partners , 1998 .

[27]  Michael Tow Cheung,et al.  Internet-based e-shopping and consumer attitudes: an empirical study , 2001, Inf. Manag..

[28]  Gianfranco Walsh,et al.  Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet , 2003, Int. J. Electron. Commer..

[29]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[30]  H. Triandis,et al.  Individualism and Collectivism: Cross-cultural Perspectives on Self-ingroup Relationships We Wish to Thank Our Research Collaborators for Stimulating Ideas, Data, and Moral Support in Carrying out a Complex Set of Studies. They , 2022 .

[31]  P. Nelson.  Advertising as Information , 1974, Journal of Political Economy.

[32]  M. Holbrook.  Beyond Attitude Structure: Toward the Informational Determinants of Attitude , 1978 .

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

[34]  Greg W. Marshall,et al.  An empirical investigation of technology acceptance in a field sales force setting , 2005 .

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

[36]  Carolyn A. Lin.  Cultural differences in message strategies: A comparison between American and Japanese TV , 1993 .

[37]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[38]  M. Gilly,et al.  Explorations of National Culture and Word-of-Mouth Referral Behavior in the Purchase of Industrial Services in the United States and Japan , 1998 .

[39]  Morris B. Holbrook,et al.  Beyond Attitude Structure: Toward the Informational Determinants of Attitude: , 1978 .

[40]  F. Sultan,et al.  Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers?: A Large-Scale Exploratory Empirical Study , 2005 .

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

[42]  Michael Tow Cheung,et al.  Internet-based e-banking and consumer attitudes: an empirical study , 2002, Inf. Manag..

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