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Reason and reaction: the dual route of the decision-making process on Facebook fan pages

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Abstract

This study aimed to investigate the dual routes of consumers’ decision-making processes on behavioral change toward purchase on Facebook fan pages using the Prototype Willingness Model. The two routes are: 1) a reasoned path (beliefs, attitude, subjective norms, behavioral intention, and behavioral change); and 2) a social reaction path (attitude, subjective norms, prototype image, behavioral willingness, and behavioral change). Data were collected via online surveys completed by 1,131 Facebook fan page users. The results of data analysis confirmed that the dual routes of decision making occur simultaneously. Both the cognitive (information source, social interaction ties, fan page design characteristics) and affective (entertainment) components of belief influence consumer attitudes toward Facebook fan pages in the reasoned path route. The dual routes of consumers’ decision-making processes on Facebook fan pages have significant impacts on behavioral change toward brand purchase. The study provides a foundation for future research investigating Facebook as a marketing tool, and suggests strategies for fan page designers.

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References

  • Ajzen, I. (1999). Dual-mode processing in the pursuit of insight is no vice. Psychological Inquiry, 10, 110–112.

    Article  Google Scholar 

  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Alcántara-Pilar, J. M., del Barrio-García, G., & Porcu, L. (2013). A cross-cultural analysis of the effect of language on perceived risk online. Computers in Human Behavior, 29(3), 596–603.

    Article  Google Scholar 

  • Algesheimer, R., Dholakia, U. M., & Herrmann, A. (2005). The social influence of brand communities: evidence from European car clubs. Journal of Marketing, 59(3), 19–34.

    Article  Google Scholar 

  • Anderson, J. C., & Gerbing, D. W. (1988). Structure equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.

    Article  Google Scholar 

  • Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behavior: a meta-analytic review. British Journal of Social Psychology, 40, 471–499.

    Article  Google Scholar 

  • Armstrong, G., & Kotler, P. (2000). Marketing (5th ed.). Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Bansal, H. S., & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. Journal of Service Research, 3(2), 166–177.

    Article  Google Scholar 

  • Bhattacherjee, A. (2000). Acceptance of eCommerce services: the case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics, 30(4), 411–420.

    Article  Google Scholar 

  • Cantor, N., & Mischel, W. (1979). Prototypicality and personality: effects on free recall and personality impressions. Journal of Research in Personality, 13, 187–205.

    Article  Google Scholar 

  • Carlson, N. (2011). Facebook has more than 600 million users, 695 Goldman tells clients. Business Insider. Retrieved July 17, 2011, from http://www.businessinsider.com/facebook-has-more-than-600-million-usersgoldman-tells-clients-2011-1. Accessed 17 July 2011.

  • Casalo, L. V., Flavian, C., & Guinaliu, M. (2010). Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions. Tourism Management, 31(6), 898–911.

    Article  Google Scholar 

  • Castaneda, J. A., Muñoz-Leiva, F., & Luque, T. (2007). Web acceptance model (WAM): moderating effects of user experience. Information & Management, 44(4), 384–396.

    Article  Google Scholar 

  • Chassin, L., Presson, C. C., Sherman, S. J., Corty, E., & Olshavsky, R. W. (1981). Self-images and cigarette smoking in adolescence. Personality and Social Psychology Bulletin, 7, 670–676.

    Article  Google Scholar 

  • Chiu, C.-M., Hsu, M.-H., & Wang, E. T. G. (2006). Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories. Decision Support Systems, 42, 1872–1888.

    Article  Google Scholar 

  • Cialdini, R. B., Kallgren, C. A., & Reno, R. R. (1991). A focus theory of normative conduct: a theoretical refinement and reevaluation of the role of norms in human behavior. In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 24, pp. 201–234). New York: Academic.

    Google Scholar 

  • Cothrel, J. (2000). Measuring the success of an online community. Strategy and Leadership, 28(2), 17–21.

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003.

    Article  Google Scholar 

  • Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21–35.

    Google Scholar 

  • Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Hillsdale: Erlbaum.

    Google Scholar 

  • Feenberg, A., & Bakardjieva, M. (2004). Virtual community: no killer implication. New Media & Society, 6(1), 37–43.

    Article  Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975). Thinking, attitude, intention and behavior: An introduction to theory and research. Reading: Addison-Wesley.

    Google Scholar 

  • Gentry, L., & Calantone, R. (2002). A comparison of three models to explain shop-bot use on the web. Psychology and Marketing, 19(11), 945–956.

    Article  Google Scholar 

  • Gergen, K. J. (1971). The concept of self. New York: Holt, Rinehart, and Winston.

    Google Scholar 

  • Gerrard, M., Gibbons, F. X., Houlihan, A. E., Stock, M. L., & Pomery, E. A. (2008). A dual-process approach to health risk decision making: the prototype willingness model. Developmental Review, 28, 29–61.

    Article  Google Scholar 

  • Ghose, S., & Dou, W. (1998). Interactivity functions and their implications on the appeal of Internet presence sites. Journal of Advertising Research, 38, 29–43.

    Google Scholar 

  • Gibbons, F. X., & Gerrard, M. (1995). Predicting young adults’ health-risk behavior. Journal of Personality and Social Psychology, 74, 1164–1180.

    Article  Google Scholar 

  • Gibbons, F. X., Gerrard, M., & Helweg-Larsen, M. (1995). Prevalence estimates and adolescent risk behavior: cross-cultural differences in social influence. Journal of Applied Psychology, 80, 107–121.

    Article  Google Scholar 

  • Gibbons, F. X., Gerrard, M., & Lane, D. J. (2003). A social-reaction model of adolescent health risk. In J. J. Suls & K. A. Wallston (Eds.), Social psychological foundations of health and illness (pp. 107–136). Oxford: Blackwell.

    Chapter  Google Scholar 

  • Gibbons, F. X., Gerrard, M., Vande Lune, L. S., Wills, T. A., Brody, G., & Conger, R. D. (2004). Context and cognitions: environment risk, social influence, and adolescent substance use. Personality and Social Psychology Bulletin, 30, 1048–1061.

    Article  Google Scholar 

  • Gibbons, F. X., Houlihan, A. E., & Gerrard, M. (2009). Reason and reaction: the utility of a dual-focus, dual-processing perspective on promotion and prevention of adolescent health risk behavior. British Journal of Health Psychology, 14(2), 231–248.

    Article  Google Scholar 

  • Gupta, S., & Kim, H.-W. (2007). Developing the commitment to virtual community: the balanced effects of cognition and affect. Information Resources Management Journal, 20(1), 28–45.

    Article  Google Scholar 

  • Hagel, J., & Armstrong, A. (1997). Net gain: Expanding markets through virtual communities. Boston: Harvard Business School Press.

    Google Scholar 

  • Hagger, M. S., Chatzisarantis, N., & Biddle, S. T. H. (2001). Antecedents of children’s physical activity intentions and behavior: predictive validity and longitudinal effects. Psychology and Health, 16, 391–407.

    Article  Google Scholar 

  • Hansen, T., Jensen, J. M., & Solgaard, H. S. (2004). Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 24(6), 539–550.

    Article  Google Scholar 

  • Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62, 5–13.

    Article  Google Scholar 

  • Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information and Management, 41, 853–868.

    Article  Google Scholar 

  • Hsu, C., & Lu, H. (2007). Consumer behavior in online game communities: a motivational factor perspective. Computers in Human Behavior, 23, 1642–1659.

    Article  Google Scholar 

  • Kim, A. J., & Ko, E. (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business Research, 65, 1480–1486.

    Article  Google Scholar 

  • Kim, H.-B., Kim, T., & Shin, S. W. (2009). Modeling roles of subjective norms and eTrust in consumers’ acceptance of airline B2C eCommerce websites. Tourism Management, 30, 266–277.

    Article  Google Scholar 

  • Koufaris, M. (2002). Applying the technology acceptance model and flow theory to on-line consumer behaviour. Information System Research, 13(2), 205–223.

    Article  Google Scholar 

  • Lascu, D., & Zinkhan, G. (1999). Consumer conformity: review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1–12.

    Google Scholar 

  • Lee, W. J., & Choi, H.-S. C. (2009). Understanding meeting planners’ internet use behavior: an extension to the theory of planned behavior. International Journal of Hospitality & Tourism Administration, 10(2), 109–128.

    Article  Google Scholar 

  • Liang, A. R.-D., & Lim, W. M. (2011). Exploring the online buying behavior of specialty food shoppers. International Journal of Hospitality Management, 30, 855–865.

    Article  Google Scholar 

  • Lin, H.-F. (2007). Predicting consumer intentions to shop online: an empirical test of competing theories. Electronic Commerce Research and Applications, 6(4), 433–442.

    Article  Google Scholar 

  • Lin, K.-Y., & Lu, H.-P. (2011). Intention to continue using Facebook fan pages from the perspective of social capital theory. Cyberpsychology, Behavior and Social Networking, 14(10), 565–570.

    Article  Google Scholar 

  • Litt, D. (2010). Social networking sites and adolescent alcohol use: The role of social images, social norms, and social comparison. The George Washigton University (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses. (UMI No. 3412688).

  • Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with web site success in the context of electronic commerce. Information & Management, 38, 23–33.

    Article  Google Scholar 

  • Mannetti, L., Pierro, A., & Livi, S. (2004). Recycling: planned and self-expressive behavior. Journal of Environmental Psychology, 24, 227–236.

    Article  Google Scholar 

  • Manthiou, A., Chiang, L., & Tang, L. (2013). Identifying and responding to customer needs on Facebook fan pages. International Journal of Technology and Human Interaction, 9(3), 36–52.

    Article  Google Scholar 

  • May, J. (2010). Designing a Facebook fan page: Showcases, tutorials, resources. Smashing Magazine. Retrieved April 23, 2012, from http://www.smashingmagazine.com/2010/07/07/designing-a-facebook-fan-page-showcases-tutorials-resources/. Accessed 23 Apr 2012.

  • McCorkindale, T. (2010). Can you see the writing on my wall? Public Relations Journal, 4(3), 1–13.

    Google Scholar 

  • Monsuwé, T. P., Dellaert, B. G. C., & Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102–121.

    Article  Google Scholar 

  • Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of Marketing, 54(4), 20–35.

    Article  Google Scholar 

  • Negash, S., Ryan, T., & Igbaria, M. (2003). Quality and effectiveness in Web-based consumer support systems. Information & Management, 40, 757–768.

    Article  Google Scholar 

  • O’Keefe, P. (2008). Managing online forums. New York: AMACOM.

    Google Scholar 

  • Oh, H. (1999). Service quality, customer satisfaction, and customer value: a holistic perspective. International Journal of Hospitality Management, 18(1), 67–82.

    Article  Google Scholar 

  • Ohtomo, S., & Hirose, Y. (2007). The dual-process of reactive and intentional decision-making involved in eco-friendly behavior. Journal of Environmental Psychology, 27, 117–125.

    Article  Google Scholar 

  • Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. New York: McGraw-Hill.

    Google Scholar 

  • Ouellette, J. A., Hessling, R., Gibbons, F. X., Reis-Bergan, M., & Gerrard, M. (2005). Using images to increase exercise behavior: prototypes versus possible selves. Personality and Social Psychology Bulletin, 31, 610–620.

    Article  Google Scholar 

  • Pace, S. (2004). A grounded theory of the flow experiences of Web users. International Journal of Human-Computer Studies, 60, 327–363.

    Article  Google Scholar 

  • Paris, C. M., Lee, W., & Seery, P. (2010). The role of social media in promoting special events: acceptance of Facebook events. Information and Communication Technologies in Tourism, 14, 531–541.

    Google Scholar 

  • Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: facebook groups, uses and gratifications, and social outcomes. Cyber Psychology and Behavior, 12(6), 729–733.

    Article  Google Scholar 

  • Petty, R. E., & Cacioppo, J. T. (1981). Attitudes and persuasion: Classic and contemporary approaches. Dubuque: William C. Brown.

    Google Scholar 

  • Pilke, E. M. (2004). Flow experiences in information technology use. International Journal of Human-Computer Technology, 61, 347–357.

    Article  Google Scholar 

  • Pineda, N. (2010). Facebook tips: What’s the difference between a facebook page and group? Facebook. Retrieved August 19, 2012, from https://www.facebook.com/notes/facebook/facebook-tips-whats-the-difference-between-a-facebook-page-and-group/324706977130. Accessed 19 Aug 2012.

  • Preece, J. (2000). Online communities: Designing usability, supporting sociability. New York: John Wiley.

    Google Scholar 

  • Puntoni, S., De Langhe, B., & Van Osselaer, S. J. (2009). Bilingualism and the emotional intensity of advertising language. Journal of Consumer Research, 35(6), 1012–1025.

    Article  Google Scholar 

  • Qu, H., & Lee, H. (2011). Travelers’ social identification and membership behaviors in online travel community. Tourism Management, 32, 1262–1270.

    Article  Google Scholar 

  • Richins, M. L. (1991). Social comparison and the idealized images of advertising. Journal of Consumer Research, 18, 71–83.

    Article  Google Scholar 

  • Rocheleau, J. (2012). Better Facebook fan page: Essential tips, apps and examples. Hongkiat. Retrieved November 23, 2011, from http://www.hongkiat.com/blog/facebook-fan-page-tips-apps-examples/. Accessed 23 Nov 2011.

  • Sanchez-Franco, M. J., & Roldan, J. L. (2005). Web acceptance and usage model: a comparison between goal-directed and experiential web users. Internet Research, 15(1), 21–48.

    Article  Google Scholar 

  • Setterlund, M. B., & Niedenthal, P. M. (1993). Who am I? Why am I here? Self-esteem, self-clarity, and prototype matching. Journal of Personality and Social Psychology, 65, 769–780.

    Article  Google Scholar 

  • Shuttleworth, M. (2009). Convergent validity and discriminant validity. Explorable. Retrieved November 23, 2011, from http://explorable.com/convergent-validity. Accessed 23 Nov 2011.

  • Skellie, M. (2011). Successful Facebook marketing. Rockable Press.

  • Smith, B. E. (2011). Sams teach yourself Facebook for business in 10 minutes. Inc: Pearson Education.

    Google Scholar 

  • Smith, E. R., & DeCoster, J. (2000). Dual-process models in social and cognitive psychology: conceptual integration and links to underlying memory systems. Personality and Social Psychology Review, 4(2), 108–131.

    Article  Google Scholar 

  • Solomon, M., Bamossy, G., Askegaard, S., & Hogg, M. K. (2006). Consumer behavior: A European perspective. Harlow: Prentice Hall.

    Google Scholar 

  • Suls, J., Martin, R., & Wheeler, L. (2002). Social comparison: why, with whom, and with what effect. Current Directions in Psychological Science, 11, 159–163.

    Article  Google Scholar 

  • Tang, L. R., & Jang, S. S. (2012). Investigating the routes of communication on destination websites. Journal of Travel Research, 51(1), 94–108.

    Article  Google Scholar 

  • Tang, L. R., Jang, S. S., & Morrison, A. (2012). Dual-route communication of destination websites. Tourism Management, 33, 38–49.

    Article  Google Scholar 

  • Tavassoli, N. (2002). Language and flexibility. Advances in Consumer Research, 29, 185–187.

    Google Scholar 

  • Thornton, B., Gibbons, F. X., & Gerrard, M. (2002). Risk perception and prototype perception: independent process predicting risk behavior. Personality and Social Psychology Bulletin, 28, 986–999.

    Article  Google Scholar 

  • Top Dining Brands (2011). Retrieved November 1, 2011, from http://fanpagelist.com/category/brands/dining/. Accessed 1 Nov 2011.

  • Ulusu, Y. (2010). Determinant factors of time spent on Facebook: brand community engagement and usage types. Journal of Yasar University, 18(5), 2949–2957.

    Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  • Walsh, S. P., & White, K. M. (2007). Me, my mobile, and I: the role of self- and prototypical identity influences in the prediction of mobile phone behavior. Journal of Applied Social Psychology, 37(10), 2405–2434.

    Article  Google Scholar 

  • Wang, Y., Yu, Q., & Fesenmaier, D. R. (2002). Defining the virtual tourist community: implications for tourism marketing. Tourism Management, 23(4), 407–417.

    Article  Google Scholar 

  • Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic network of practice. MIS Quarterly, 29, 35–57.

    Google Scholar 

  • Wu, S.-I. (2006). A comparison of the behavior of different consumer clusters toward Internet bookstores. Information and Management, 43(8), 986–1001.

    Article  Google Scholar 

  • Wyer, R. S. (2002). Language and advertising effectiveness: mediating influences of comprehension and cognitive elaboration. Psychology and Marketing, 19(7–8), 693–712.

    Article  Google Scholar 

  • Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: toward an integrative view. Information and Management, 43(3), 350–363.

    Article  Google Scholar 

  • Zeithaml, V., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: a critical review of extant knowledge. Journal of the Academy of Marketing Sciences, 30(4), 362–375.

    Article  Google Scholar 

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Correspondence to Aikaterini Manthiou.

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Manthiou, A., Tang, L.R. & Bosselman, R. Reason and reaction: the dual route of the decision-making process on Facebook fan pages. Electron Markets 24, 297–308 (2014). https://doi.org/10.1007/s12525-014-0156-8

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