What Drives Facebook Fans to “Like” Hotel Pages: A Comparison of Three Competing Models

REFERENCES

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior (pp. 11–39). Heidelberg, Germany: Springer.
   Google Scholar
• Anderson, J., & Gerbing, D. (1988). Structural modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411–423.
   Web of Science ®Google Scholar
• Bagozzi, R. P., & Dholakia, U. M. (2002). Intentional social action in virtual communities. Journal of Interactive Marketing, 16(2), 2–21.
   Google Scholar
• Blumler, J., & Katz, E. (1974). The uses of mass communications: Current perspectives on gratifications research. Beverly Hills, CA: Sage.
   Google Scholar
• Bower, K. (2012, January 10). Marketing research chart: Agencies’ perception of social media marketing’s tactical effectiveness. Retrieved from www.marketingsherpa.com/sample.cfm?ident=32090#
   Google Scholar
• Bruner, G. C., II, & Kumar, A. (2000). Web commercials and advertising hierarchy-of-effects. Journal of Advertising Research, 40(1/2), 35–42.
   Web of Science ®Google Scholar
• Casaló, L. V., Flavián, C., & Guinalíu, 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.
   Web of Science ®Google Scholar
• Cattell, R. B., & Burdsal, C. A., Jr. (1975). The radial parcel double factoring design: A solution to the item-vs-parcel controversy. Multivariate Behavioral Research, 10, 165–179.
   Web of Science ®Google Scholar
• Chen, Q., & Wells, W. D. (1999). Attitude toward the site. Journal of Advertising Research, 39(5), 27–37.
   Web of Science ®Google Scholar
• Chen, S., & Raab, C. (2012). Predicting resident intentions to support community tourism: Toward an integration of two theories. Journal of Hospitality Marketing & Management, 21(3), 270–294.
   Google Scholar
• Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.
   Web of Science ®Google Scholar
• Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information and Management, 36, 9–21.
   Web of Science ®Google Scholar
• Ellemers, N., Kortekaas, P., & Ouwerkerk, J. W. (1999). Self-categorisation, commitment to the group and group self-esteem as related but distinct aspects of social identity. European Journal of Social Psychology, 29(2/3), 371–389.
   Web of Science ®Google Scholar
• Emarketer.com. (2011, November 22). Facebook still top social marketing venue for SMBs. Retrieved from www.emarketer.com/Article.aspx?R=1008703
   Google Scholar
• Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley
   Google Scholar
• Flanagin, A. J., & Metzger, M. J. (2001). Internet use in the contemporary media environment. Human Communication Research, 27, 153–181.
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobserved variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
   Web of Science ®Google Scholar
• Gil-Or, O. (2010). Building consumer demand by using viral marketing tactics within an online social network. Advances in Management, 3(7), 7–14.
   Google Scholar
• Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236.
   Web of Science ®Google Scholar
• Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson.
   Google Scholar
• Hall, R. J., Snell, A. F., & Foust, M. S. (1999). Item parceling strategies in SEM: Investigating the subtle effects of unmodeled secondary constructs. Organizational Research Methods, 2(3), 233–256.
   Web of Science ®Google Scholar
• Hampton, K., Goulet, L. S., Rainie, L., & Purcell, K. (2011). Social networking sites and our lives. Pew Internet & American Life Project. Retrieved from http://pewinternet.org/˜/media//Files/Reports/2011/PIP%20-%20Social%20networking%20sites%20and%20our%20lives.pdf
   Google Scholar
• Hildebrandt, L. (1987). Consumer retail satisfaction in rural areas: A reanalysis of survey data. Journal of Economic Psychology, 8(1), 19–43.
   Web of Science ®Google Scholar
• Hotelmarkting.com. (2011, June 14). One quarter of hotels not using social media. Retrieved from hotelmarketing.com/index.php/content/article/one_quarter_of_hotels_not_using_social_media
   Google Scholar
• Huh, H. J., Kim, T., & Law, R. (2009). A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. International Journal of Hospitality Management, 28(1), 121–134.
   Web of Science ®Google Scholar
• Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36.
   Web of Science ®Google Scholar
• Kang, B., Twigg, N. W., & Hertzman, J. (2010). An examination of social support and social identity factors and their relationship to certified chefs’ burnout. International Journal of Hospitality Management, 29(1), 168–176.
   Web of Science ®Google Scholar
• Katz, E., Gurevitch, M., & Haas, H. (1973). On the use of the mass media for important things. American Sociological Review, 38(2), 164–181.
   Web of Science ®Google Scholar
• Kelly, L., Kerr, G., & Drennan, J. (2010). Avoidance of advertising in social networking sites: The teenage perspective. Journal of Interactive Advertising, 10(2), 16–27.
   Google Scholar
• Kelman, H. (1958). Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 2(1), 51–60.
   Google Scholar
• Kim, M. K. (2010). The effectiveness of product conversations in social media: From an attribution theory perspective (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 3433017)
   Google Scholar
• Kim, T., Suh, Y. K., Lee, G., & Choi, B. G. (2010). Modelling roles of task-technology fit and self-efficacy in hotel employees’ usage behaviours of hotel information systems. International Journal of Tourism Research, 12, 709–725.
   Web of Science ®Google Scholar
• Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford.
   Google Scholar
• Klopping, I. M., & McKinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information Technology, Learning and Performance Journal, 22(1), 35–48.
   Google Scholar
• Ko, H., Cho, C., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of Advertising, 34(2), 57–70.
   Web of Science ®Google Scholar
• Koetsier, J. (2012, August 22). Social media demographics 2012: 24 sites including Twitter, Facebook, and LinkedIn. Retrieved from http://venturebeat.com/2012/08/22/social-media-demographics-stats-2012/
   Google Scholar
• Lam, T., Cho, V., & Qu, H. (2007). A study of hotel employee behavioural intentions toward adoption of information technology. International Journal of Hospitality Management, 26(1), 49–65.
   Google Scholar
• Latané, B (1981). The psychology of social impact. American Psychologist, 63(4), 343–356.
   Web of Science ®Google Scholar
• Leaniz, P., & Rodríguez, I. (2014). Exploring the antecedents of hotel customer loyalty: A social identity perspective. Journal of Hospitality Marketing & Management. doi:10.1080/19368623.2014.891961
   Web of Science ®Google Scholar
• Lee, W., Xiong, L., & Hu, C. (2012). The effect of Facebook users’ arousal and valence on intention to go to the festival: Applying an extension of the technology acceptance model. International Journal of Hospitality Management, 31(3), 819–827.
   Web of Science ®Google Scholar
• Leung, X. Y., Bai, B., & Stahura, K. A. (2013). The marketing effectiveness of social media in the hotel industry: A comparison of Facebook and Twitter. Journal of Hospitality & Tourism Research. doi:10.1177/1096348012471381.
   Web of Science ®Google Scholar
• Lin, C. A. (1999). Online-service adoption likelihood. Journal of Advertising Research, 39(2), 79–89.
   Web of Science ®Google Scholar
• Madden, M., & Zickuhr, K. (2011, August 26). 65% of online adults use social networking sites. Pew Internet and American Life Project. Retrieved from pewinternet.org/˜/media//Files/Reports/2011/PIP-SNS-Update-2011.pdf
   Google Scholar
• Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3–9.
   Web of Science ®Google Scholar
• McQuail, D. (1983). Mass communication theory (1st ed.). Thousand Oaks, CA: Sage.
   Google Scholar
• Memardzeh, F., & Chang, H. J. (2014). Online consumer complaints about southeast Asian luxury hotels. Journal of Hospitality Marketing & Management. doi:10.1080/19368623.2014.893222
   Web of Science ®Google Scholar
• Miller, M. (1995). Coefficient alpha: A basic introduction from the perspectives of classical test theory and structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 2(3), 255–273.
   Web of Science ®Google Scholar
• Moore, C. (2011, May 19). Hotel industry trends include using social media marketing. Retrieved from blog.highbeambusiness.com/2011/05/hotel-industry-trends-include-using-social-media-marketing/
   Google Scholar
• Morosan, C. (2012). Theoretical and empirical considerations of guests’ perceptions of biometric systems in hotels: Extending the technology acceptance model. Journal of Hospitality & Tourism Research, 36(1), 52–84.
   Web of Science ®Google Scholar
• O’Reilly, C. A., & Chatman, J. (1986). Organizational commitment and psychological attachment: The effects of compliance, identification, and internalization on prosocial behavior. Journal of Applied Psychology, 71(3), 492–499.
   Web of Science ®Google Scholar
• Palmer, A., & Koenig-Lewis, N. (2009). An experiential, social network-based approach to direct marketing. Direct Marketing: An International Journal, 3(3), 162–176.
   Google Scholar
• PhoCusWright, Inc. (2010, September). Online social networks and travel-related communication media. PhoCusWright’s Traveler Technology Survey 2010: Social Networks, pp. 8–13.
   Google Scholar
• Rashotte, L. (2007). Social influence. In G. Ritzer (Ed.), Blackwell encyclopedia of sociology (pp. 4426–4429). Retrieved from http://www.sociologyencyclopedia.com/fragr_image/media/social
   Google Scholar
• Rust, R. T., Lee, C., & Valente, E. (1995). Comparing covariance structure models: A general methodology. International Journal of Research in Marketing, 12(4), 279–291.
   Google Scholar
• Schrier, T., Erdem, M., & Brewer, P. (2010). Merging task-technology fit and technology acceptance models to assess guest empowerment technology usage in hotels. Journal of Hospitality and Tourism Technology, 1(3), 201–217.
   Google Scholar
• Solnet, D. (2007). Employee-customer linkages: A social identification perspective in a hotel industry context. Journal of Hospitality & Tourism Management, 14(2), 129–143.
   Google Scholar
• Stelzner, M. A. (2012). 2012 social media marketing industry report: How marketers are using social media to grow their businesses. Retrieved from http://www.socialmediaexaminer.com/SocialMediaMarketingReport2012.pdf
   Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Upper Saddle River, NJ: Pearson Allyn & Bacon.
   Google Scholar
• Tajfel, H. (1978). Social categorization, social identity and social comparison. In H. Tajfel (Ed.), Differentiation between social groups: Studies in the social psychology of intergroup relations (pp. 61–76). London, England: Academic Press.
   Google Scholar
• Tanford, S., & Malek, K. (2014). Segmentation of reward program members to increase customer loyalty: The role of attitudes towards green hotel practices. Journal of Hospitality Marketing & Management. doi:10.1080/19368623.2014.907759
   Web of Science ®Google Scholar
• Taylor, D. G., Lewin, J. E., & Strutton, D. (2011). Friends, fans, and followers: Do ads work on social networks? How gender and age shape receptivity. Journal of Advertising Research, 51(1), 258–275.
   Web of Science ®Google Scholar
• Usoro, A., Shoyelu, S., & Kuofie, M. (2010). Task-technology fit and technology acceptance models applicability to e-tourism. Journal of Economic Development, Management, IT, Finance and Marketing, 2(1), 1–32.
   Google Scholar
• Valenzuela, S., Park, N., & Kee, K. F. (2009). Is there social capital in a social network site? Facebook use and college students’ life satisfaction, trust, and participation. Journal of Computer-Mediated Communication, 14, 875–901.
   Web of Science ®Google Scholar
• Vollmer, C., & Precourt, G. (2008). Advertising, marketing, and media in an era of consumer control. New York, NY: McGraw-Hill.
   Google Scholar
• Wang, Y., & Fesenmaier, D. R. (2004). Modeling participation in an online travel community. Journal of Travel Research, 42(3), 261–270.
   Google Scholar
• Weil, F. A. (2012, April 24). Anomie in a world of social media. The Huffington Post. Retrieved from http://www.huffingtonpost.com/frank-a-weil/anomie-in-a-world-of-social-media_b_1449218.html
   Google Scholar
• Williams, L. J., & Holahan, P. J., (1994). Parsimony-based fit indices for multiple-indicator models: Do they work? Structural Equation Modeling: A Multidisciplinary Journal, 1(2), 161–189.
   Web of Science ®Google Scholar
• Zeng, F., Huang, L., & Dou, W. (2009). Social factors in user perceptions and responses to advertising in online social networking communities. Journal of Interactive Advertising, 10(1), 1–13.
   Google Scholar