The Effect of Socialization and Maven Characteristics on Viral Advertising

Open access

Abstract

The purpose of this article is to study the social aspects of viral advertising, including differences related to social influencers analyzed in the Consumer Socialization Theory, such as family, the tie strength element from the Social Network Theory, as well as maven characteristics. The study uses a survey distributed to a national consumer sample from the U.S., that is analyzed in a multivariate regression procedure. The analysis shows the importance of social factors for consumers’ viral intentions, integrating the socialization theory and market maven theory in the viral research. The results support a positive relationship between consumers’ socialization and communication related to advertising with their family and their viral intentions, showing that reference groups are important for viral advertising. This underlines the effect that the close interpersonal circle has on consumers’ involvement in viral communication. The statistical analysis also found a psychosocial characteristic, such as consumers’ market maven traits, to be positively related to viral intentions. Attitude toward the ad is also a significant influencer of viral intentions, as expected, showing that a positive impression about the ad is positively related to its viral potential. Overall, different social factors are found to be essential antecedents of viral ads, and future research can further focus on this topic, to create a social profile of consumers prone to participate in viral advertising.

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  • Akpinar E. & Berger J. (2017). Valuable virality. Journal of Marketing Research 54(2) 318–330.

  • Arndt J. (1971). A research note on intergenerational overlap of selected consumer variables. Markeds Kommunikasion3 1-8.

  • Bampo M. Ewing M. T. Mather D. R. Stewart D. & Wallace M. (2008). The effects of the social structure of digital networks on viral marketing performance. Information Systems Research19(3) 273–290.

  • Bao T.T. & Chang T.S. (2016). The product and timing effects of eWOM in viral marketing. International Journal of Business 21(2) 99-113.

  • Benmoyal-Bouzaglo S. & Moschis G. P. (2009). The effects of family structure and socialization influences on compulsive consumption: a life course study in France. International Journal of Consumer Studies33 49–57.

  • Berger J. & Milkman K. L. (2012). What makes online content viral? Journal of Marketing Research49(April) 192–205.

  • Brown J. J. & Reingen P. H. (1987). Social ties and word-of-mouth referral behavior. The Journal of Consumer Research14(3) 350-362.

  • Brown S. P. & Stayman D. M. (1992). Antecedents and consequences of attitude toward the ad: a meta-analysis. Journal of Consumer Research 19(1) 34-51.

  • Chamlee-Wright E. & Myers J. A. (2008). Discovery and social learning in non-priced environments: An Austrian view of Social Network Theory. Review of Austrian Economics21 151-66.

  • Chiu H.-C. Hsieh Y.-C. Kao Y.-H. & Lee M. (2007). The determinants of email receivers’ disseminating behaviors on the Internet. Journal of Advertising Research 47(4) 524-534.

  • Cho S. Huh J. & Faber R. J. (2014). The influence of sender trust and advertiser trust on multistage effects of viral advertising. Journal of Advertising 43(1) 100–114.

  • Chu S.-C. & Kim J. (2018). The current state of knowledge on electronic word-of-mouth in advertising research. International Journal of Advertising 37(1) 1-13.

  • Datta P. R. Chowdhury D. N. & Chakraborty B. R. (2005). Viral marketing: new form of word-of-mouth through Internet. The Business Review3(2) 69-75.

  • eMarketer (2016). Digital Advertising Snapshots. Retrieved from https://www.emarketer.com/public_media/docs/eMarketer_Digital_Advertising_Snapshot.pdf

  • Feick L.F. & Price L.L. (1987). The market maven: a diffuser of marketplace information. Journal of Marketing51 83-97.

  • Fishbein M. & Ajzen I. (1975). Belief Attitude Intention and Behavior: An Introduction to Theory and Research. Reading MA: Addison-Wesley.

  • Gladwell M. (2000). The Tipping Point. Boston: Little Brown and Co.

  • Goldenberg J. Libai B. & Muller E. (2001). Talk of the network: a complex systems look at the underlying process of word-of-mouth. Marketing Letters12(3) 211-223.

  • Goldsmith R. E. Flynn L. R. & Goldsmith E. B. (2003). Innovative consumers and market mavens. Journal of Marketing Theory and Practice 11(4) 54-64.

  • Goodey C. & East R. (2008). Testing the market maven concept. Journal of Marketing Management24 (3-4) 265-282.

  • Granovetter M. (1983). The strength of weak ties: A Network Theory revisited. Sociological Theory1 201–33.

  • de Gregorio F. & Sung Y. (2010). Understanding attitudes toward and behaviors in response to product placement: a consumer socialization framework. Journal of Advertising39(1) 83-96.

  • Haenlein M. & Libai B. (2017). Seeding referral and recommendation: creating profitable word-of-mouth programs. California Management Review 59(2) 68–91.

  • Harrison-Walker L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research 4(1) 60-75.

  • Hayes J.L. King K.W. & Ramirez Jr. A. (2016). Brands friends & viral advertising: a social exchange perspective on the ad referral processes. Journal of Interactive Marketing 36 31–45.

  • Ho J. Y.C. & Dempsey M. (2010). Viral marketing: Motivations to forward online content. Journal of Business Research 63(9/10) 1000-1021.

  • Huang C.-C. Lin T.-C. & Lin K.-J. (2009). Factors affecting pass-along email intentions (Paeis): Integrating the social capital and social cognition theories. Electronic Commerce Research and Applications8(3) 160-169.

  • Kassarjian H. H. (1981). Low involvement: a second look. Advances in Consumer Research8 31-34.

  • Ketelaar P. E. Janssen L. Vergeer M. van Reijmersdal E. A. Crutzen R. & van ‘t Riet J. (2016). The success of viral ads: Social and attitudinal predictors of consumer pass-on behavior on social network sites. Journal of Business Research 69 2603–2613.

  • Kimmel A. J. & Kitchen P. J. (2014). WOM and Social Media: Presaging Future Directions for Research and Practice. Journal of Marketing Communications 20(1–2) 5–20.

  • Kirby J. & P. Marsden (2006). Connected Marketing. The Viral Buzz and Word of Mouth Revolution. Oxford Burlington: Elsevier.

  • Kozinets R. V. de Valck K. Wojnicki A. C. & Wilner S. J. (2010). Networked narratives: understanding word-of-mouth marketing in online communities. Journal of Marketing74 71–89.

  • Lachance M. J. Legault F. & Bujold N. (2000). Family structure parent–child communication and adolescent participation in family consumer tasks and decisions. Family and Consumer Sciences Research Journal 29 125–152.

  • Laczniak R. N. & Carlson L. (1989). Examining the influence of attitude-toward-the-ad on brand attitudes. Journal of Business Research 19 303-311.

  • Laughlin J. D. & MacDonald J. B. (2010). Identifying market mavens online by their social behaviors in community generated media. Academy of Marketing Studies Journal 14(1) 55-70.

  • Lueg J. E. & Finney R. Z. (2007). Interpersonal communication in the consumer socialization process: scale development and validation. Journal of Marketing Theory and Practice15(1) 25-39.

  • MacKenzie S.B. Lutz R.J. & Belch G. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: a test of competing explanations. Journal of Marketing Research 23(2) 130-143.

  • MacKenzie S.B. Lutz R.J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. The Journal of Marketing 53(2) 48-65.

  • Mangleburg T. F. Grewal D. & Bristol T. (1997). Socialization gender and adolescent’s self-reports of their generalized use of product labels. Journal of Consumer Affairs 31 255–279.

  • Maxham III J. & Netemeyer R. (2003). Firms reap what they sow: the effects of shared values and perceived organizational justice on customers. evaluations of complaint handling. Journal of Marketing 67 46-62.

  • Moschis G. P. (1985). The role of family communication in consumer socialization of children and adolescents. Journal of Consumer Research11(4) 898-913.

  • Moschis G. P. (1987). Consumer Socialization: A Life-Cycle Perspective. Lexington MA: Lexington Books.

  • Moschis G. P. & Churchill Jr. G. A. (1978). Consumer socialization: a theoretical and empirical analysis. Journal of Marketing Research15 599-609.

  • Muehling D. D. & McCann M. (1993). Attitude toward the ad: a review. Journal of Current Issues and Research in Advertising 15(2) 25-58.

  • Norman A. T. & Russell C. A. (2006). The pass-along effect: investigating word-of-mouth effects on online survey procedures. Journal of Computer-Mediated Communication11(4). Retrieved from http://jcmc.indiana.edu/vol11/issue4/norman.html.

  • Petrescu M. & Korgaonkar P. (2011). Viral concepts: definitional review. Journal of Internet Commerce 10(3) 208-226

  • Petrescu M. Korgaonkar P. & Gironda J. (2015). Viral advertising: a field experiment on viral intentions and purchase intentions. Journal of Internet Commerce 14(3) 384-405.

  • Petrescu M. Dobre C. & Milovan-Ciuta A. (2018). Social Bonds and Millennial Consumers Activity in Social Networks. International Journal of Internet Marketing and Advertising forthcoming. Retrieved from http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijima

  • Porter L. & Golan G. J. (2006). From Subservient Chickens to Brawny Men: A comparison of viral advertising to television advertising. Journal of Interactive Advertising6(2) 30-38.

  • Roy A. Huh J. Pfeuffer A. & Srivastava J. (2017). Development of Trust Scores in Social Media (TSM) Algorithm and Application to Advertising Practice and Research. Journal of Advertising 46(2) 269–282.

  • Schneider K.C. & Rodgers W. C. (1993). Generalized marketplace influencers’ (‘market mavens’) attitudes toward direct mail as a source of information. Journal of Direct Marketing 7(4) 20-28.

  • Schultz-Jones B. (2009). Examining information behavior through social networks. an interdisciplinary review. Journal of Documentation65(4) 592-631.

  • Scott J. (2000) Social Network Analysis: A Handbook 2nd ed. London: Sage Publications.

  • Seo Y. Li X. Choi Y. K. & Yoon S. (2018). Narrative Transportation and Paratextual Features of Social Media in Viral Advertising. Journal of Advertising 47(1) 83–95.

  • Sheikhahmadi A. & Nematbakhsh M. A. (2017). Identification of multi-spreader users in social networks for viral marketing. Journal of Information Science 43(3) 412–423.

  • Smith T. Coyle J. R. Lightfoot E. & Scott A. (2007). Reconsidering models of influence: the relationship between consumer social networks and word-of-mouth effectiveness. Journal of Advertising Research47(4) 387-397.

  • Steyer A. Garcia-Bardidia R. & Quester P. (2007) “Modélisation de la structure sociale des groupes de discussion sur Internet: implications pour le contrôle du marketing viral” Recherche et Applications en Marketing 22(3) 29-44.

  • Totterdell P. Holman D. & Hukin A. (2008). Social networkers: measuring and examining individual differences in propensity to connect with others. Social Networks 30 283–296.

  • Tuten T. L. (2008). Advertising 2.0: Social media marketing in a Web 2.0 world. Westport Connecticut Praeger.

  • van Noort G. Antheunis M. L. & Reijmersdal E. van (2012). Social connections and the persuasiveness of viral campaigns in social network sites: Persuasive intent as the underlying mechanism. Journal of Marketing Communications18(1) 39-53.

  • Walsh G. & Mitchell V.-W. (2002). German market mavens’ decision-making styles. Journal of Euromarketing10(4) 83-108.

  • Walsh G. Gwinner K. P. & Swanson S. R. (2004). What makes mavens tick? Exploring the motives of market mavens’ initiation of information diffusion. The Journal of Consumer Marketing 21(2/3) 109-116.

  • Wang J.-C. & Chen C.-L. (2004). An automated tool for managing interactions in virtual communities-using social network analysis approach. Journal of Organizational Computing and Electronic Commerce14(1) 1-26.

  • Ward S. (1974). Consumer socialization. Journal of Consumer Research1 1-16.

  • Ward S. (1978). Contributions of socialization theory to consumer behavior research. American Behavioral Scientist21(4) 501-514.

  • Wasserman S. & Faust K. (1994). Social Network analysis: Methods and applications. Cambridge University Press.

  • Zigler E. & Seitz V. (1978). Changing trends in socialization theory and research. American Behavioral Scientist21(5) 731-756.

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