A cross-cultural study of market mavenism in social media: exploring young American and Chinese consumers’ viral marketing attitudes, eWOM motives and behaviour

A web survey of 440 American college students was conducted in April, 2010 and a paper survey of 835 Chinese college students was distributed in summer and fall, 2010 to examine young consumers’ social media use, market mavenism, viral marketing attitude, and product recommendation behaviour in a cross-cultural context. Structural model testing results showed that subjective norm and affection outcome expectation motivated American and Chinese market mavenism. Their perceived subjective norm and pleasure influenced their viral marketing attitude. More importantly, their frequency of product recommendations on social networking websites was determined by their time spent on social networking websites, viral marketing attitude, eWOM intent to help the company and market mavenism. The implications for the industry and academia are discussed.

[1]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[2]  A. Hayes Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium , 2009 .

[3]  Ricky Y. K. Chan,et al.  Explaining Green Purchasing Behavior , 2002 .

[4]  S. Li,et al.  The Influence of eWOM on Virtual Consumer Communities: Social Capital, Consumer Learning, and Behavioral Outcomes , 2007, Journal of Advertising Research.

[5]  Balaji Rajagopalan,et al.  Knowledge-sharing and influence in online social networks via viral marketing , 2003, CACM.

[6]  Matthew K. O. Lee,et al.  The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities , 2008, Internet Res..

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

[8]  Paul A. Pavlou,et al.  What Drives Electronic Commerce across Cultures? Across-Cultural Empirical Investigation of the Theory of Planned Behavior , 2002, J. Electron. Commer. Res..

[9]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[10]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[11]  Shintaro Okazaki Determinant factors of mobile‐based word‐of‐mouth campaign referral among Japanese adolescents , 2008 .

[12]  Zhang Chong Leader formation model during public opinion formation in internet , 2008 .

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

[14]  Elizabeth B. Goldsmith,et al.  EXTENDING THE PSYCHOLOGICAL PROFILE OF MARKET MAVENISM , 2006 .

[15]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[16]  B. Byrne Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[17]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[18]  Shu-Chuan Chu,et al.  Social capital and self-presentation on social networking sites: a comparative study of Chinese and American young generations , 2010 .

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

[20]  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..

[21]  S. Ghoshal,et al.  Social Capital, Intellectual Capital, and the Organizational Advantage , 1998 .

[22]  Xu Huang,et al.  Research on Online Shopping Intention of Undergraduate Consumer in China--Based on the Theory of Planned Behavior , 2010 .

[23]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[24]  E. Carmines,et al.  Analyzing models with unobserved variables: analysis of covariance structures , 1981 .

[25]  Dongjin Li,et al.  A Study on the influence of country image on purchase intention of Chinese consumers based on Fishbein’s model of reasoned action: Focused on USA, Germany, Japan and South Korea , 2009 .

[26]  K. Krentler,et al.  Teen internet mavens: influence in family decision making , 2005 .

[27]  David K. Perry,et al.  Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email , 2004, Journal of Advertising Research.

[28]  S. Jang,et al.  Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations. , 2011 .

[29]  Dimitrios Buhalis,et al.  Influential Factors of Internet Users Booking Online in China's Domestic Tourism 使用互联网在线预订的影响因素—以中国国内旅游为例 , 2008 .

[30]  J. P. Peter Reliability: A Review of Psychometric Basics and Recent Marketing Practices , 1979 .

[31]  Nicola Stokburger-Sauer,et al.  Consumer advisors revisited: What drives those with market mavenism and opinion leadership tendencies and why? , 2009 .

[32]  D. Dillman Mail and internet surveys: The tailored design method, 2nd ed. , 2007 .

[33]  Joey F. George,et al.  The theory of planned behavior and Internet purchasing , 2004, Internet Res..

[34]  R. Schumacker,et al.  A beginner's guide to structural equation modeling, 2nd ed. , 2004 .

[35]  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..

[36]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[37]  Monle Lee,et al.  The Determinants of Email Receivers' Disseminating Behaviors on the Internet , 2007, Journal of Advertising Research.

[38]  Elizabeth B. Goldsmith,et al.  Market mavenism and consumer self‐confidence , 2008 .

[39]  Hsiu-Fen Lin,et al.  Understanding Behavioral Intention to Participate in Virtual Communities , 2006, Cyberpsychology Behav. Soc. Netw..

[40]  Torben Hansen Consumer values, the theory of planned behaviour and online grocery shopping , 2008 .

[41]  E. Mao,et al.  UNDERSTANDING THE ACCEPTANCE OF MOBILE SMS ADVERTISING AMONG YOUNG CHINESE CONSUMERS , 2008 .

[42]  Andrew F. Hayes,et al.  Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations , 2009, Behavior research methods.

[43]  C. Flavián,et al.  The role of satisfaction and website usability in developing customer loyalty and positive word‐of‐mouth in the e‐banking services , 2008 .

[44]  G. Breeuwsma Geruchten als besmettelijke ziekte. Het succesverhaal van de Hush Puppies. Bespreking van Malcolm Gladwell, The tipping point. How little things can make a big difference. London: Little, Brown and Company, 2000 , 2000 .

[45]  I. Ajzen The theory of planned behavior , 1991 .

[46]  R. Abratt,et al.  Role of the market maven in retailing: A general marketplace influencer , 1995 .

[47]  Per E. Pedersen,et al.  Intentions to use mobile services: Antecedents and cross-service comparisons , 2005 .

[48]  Jason B. MacDonald,et al.  Identifying Market Mavens Online by Their Social Behaviors in Community-Generated Media , 2010 .

[49]  H. Marsh,et al.  In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .

[50]  R. Ferguson,et al.  Word of mouth and viral marketing: taking the temperature of the hottest trends in marketing , 2008 .

[51]  Ting-Peng Liang,et al.  Consumer Attitudes Toward Mobile Advertising: An Empirical Study , 2004, Int. J. Electron. Commer..

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

[53]  Feng Li,et al.  Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs , 2011, Decis. Support Syst..

[54]  R. Bagozzi,et al.  Cultural and Situational Contingencies and the Theory of Reasoned Action: Application to Fast Food Restaurant Consumption , 2000 .

[55]  Gilad Ravid,et al.  Online and Offline Social Ties of Social Network Website Users: An Exploratory Study in Eleven Societies , 2009, J. Comput. Inf. Syst..

[56]  Shu-Chuan Chu,et al.  Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites , 2011 .

[57]  Gianfranco Walsh,et al.  The Mannmaven: an agent for diffusing market information , 2001 .

[58]  Cynthia M. Webster,et al.  Word-Of-Mouth Communications: a Motivational Analysis , 1998 .

[59]  Cate Riegner Word of Mouth on the Web: The Impact of Web 2.0 on Consumer Purchase Decisions , 2007, Journal of Advertising Research.

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

[61]  Dee T. Allsop,et al.  Word-of-Mouth Research: Principles and Applications , 2007, Journal of Advertising Research.

[62]  K. Krentler,et al.  Internet Mavens in India , 2009 .

[63]  Key Pousttchi,et al.  Mobile word-of-mouth – A grounded theory of mobile viral marketing , 2009, J. Inf. Technol..

[64]  Samer Faraj,et al.  Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice , 2005, MIS Q..

[65]  G. Weimann The Influentials: People Who Influence People , 1994 .

[66]  Linda L. Price,et al.  The market maven: A diffuser of marketplace information. , 1987 .

[67]  Barbara M. Byrne,et al.  Structural equation modeling with AMOS , 2010 .

[68]  Hu Yong A Study on the Characters of the Public Opinion Leader in Web BBS , 2010 .

[69]  Gianfranco Walsh,et al.  Identifying, segmenting and profiling online communicators in an internet music context , 2010 .

[70]  Shanyang Zhao,et al.  Do Internet Users Have More Social Ties? A Call for Differentiated Analyses of Internet Use , 2006, J. Comput. Mediat. Commun..

[71]  R. Rubin,et al.  Conceptualization and Measurement of Interpersonal Communication Motives , 1988 .

[72]  Hung-Chang Chiu,et al.  Viral Marketing: A Study of E-Mail Spreading Behavior Across Gender , 2007 .

[73]  Chanthika Pornpitakpan Factors Associated with Opinion Seeking , 2004 .

[74]  JungKun Park,et al.  Digital music services: consumer intention and adoption , 2008 .

[75]  K. Gwinner,et al.  WHAT MAKES MAVENS TICK? EXPLORING THE MOTIVES OF MARKET MAVENS INITIATION OF INFORMATION DIFFUSION , 2004 .

[76]  Aviv Shoham,et al.  Innovativeness, exploratory behavior, market mavenship, and opinion leadership: An empirical examination in the Asian context , 2007 .

[77]  R. Goldsmith,et al.  Market mavens: Psychological influences , 2005 .

[78]  Suzan Burton,et al.  Electronic word-of-mouth: a comparison of stated and revealed behaviour on electronic discussion boards , 2006 .