Does Social Media Matter? Investigating the Effect of Social Media Features on Consumer Attitudes

References

• Aaker, D. A., & Bruzzone, D. E. (1985). Causes of irritation in advertising. The Journal of Marketing, 49(2), 47–57.
   Web of Science ®Google Scholar
• Aaker, D. A., & Stayman, D. (1990). Measuring audience perceptions of commercials and relating them to ad impact. Journal of Advertising Research, 2, 35–48.
   Google Scholar
• Adler, E. (2013). Social media engagement: The surprising facts about how much time people spend on the major social networks. Retrieved from http://www.businessinsider.com.au/social-media-engagement-statistics-2013-12
   Google Scholar
• Ajzen, I. (1985), From intentions to actions: A theory of planned behavior. Berlin Heidelberg: Springer.
   Google Scholar
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Alpar, P. (1999). Satisfaction with a web site: Its measurement, factors and correlates,” Electronic Business Engineering, 271–287.
   Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.
   Web of Science ®Google Scholar
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.
   Google Scholar
• Bagozzi, R. P., & Dholakia, U. M. (2001). Intentional social action in virtual communities. Journal of Interactive Marketing, 16(2), 2–21.
   Google Scholar
• Bagozzi, R. P., & Dholakia, U. M. (2006). Antecedents and purchase consequences of customer participation in small group brand communities. International Journal of Research in Marketing, 23(1), 45–61.
   Web of Science ®Google Scholar
• Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International Journal of Hospitality Management, 27(3), 391–402.
   Web of Science ®Google Scholar
• Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research, 17(3), 303–316.
   Web of Science ®Google Scholar
• Brustein, J. (2014). American now spend more time on facebook than they do on their pets. Retrieved from http://www.bloomberg.com/bw/articles/2014-07-23/heres-how-much-time-people-spend-on-facebook-daily.
   Google Scholar
• Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. NJ: Psychology Press.
   Google Scholar
• Chen, Y. H., Hsu, I., & Lin, C. C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63(9), 1007–1014.
   Web of Science ®Google Scholar
• Chen, L. D., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information and management, 39(8), 705–719.
   Web of Science ®Google Scholar
• Cheung, D. L., Au, W. K., Cheung, H. H., Chiu, C. S., & Lee, W. T. (2001). Coronary artery fistulas: long-term results of surgical correction. The Annals of Thoracic Surgery, 71(1), 190–195.
   PubMed Web of Science ®Google Scholar
• CNBC. (2015). Facebook earnings: 54 cents per share, vs estimated EPS of 49 cents. Retrieved from http://www.cnbc.com/id/102376691
   Google Scholar
• Common sense (2015). The common sense census: media use by tweens and teens. Retrieved from https://www.commonsensemedia.org/sites/default/files/uploads/research/census_researchreport.pdf
   Google Scholar
• Correa, T., Hinsley, A. W., & De Zuniga, H. G. (2010). Who interacts on the Web?: The intersection of users’ personality and social media use. Computers in Human Behavior, 26(2) 247–253.
   Web of Science ®Google Scholar
• Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319–340.
   Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
   Web of Science ®Google Scholar
• De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand fan pages: an investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91.
   Web of Science ®Google Scholar
• Dholakia, U. M., Bagozzi, R. P., & Pearo, L. S. (2004). A social influence model of consumer participation in network-and small-group-based virtual communities. International Journal of Research in Marketing, 21(3), 241–263.
   Web of Science ®Google Scholar
• Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(8), 307–319.
   Web of Science ®Google Scholar
• Ducoffe, R. H. (1995). How consumers assess the value of advertising. Journal of Current Issues and Research in Advertising, 17(1), 1–18.
   Google Scholar
• Ducoffe, R. H. (1996). How consumers assess the value of advertising. Journal of Current Issues & Research in Advertising, 17(1), 1–18.
   Google Scholar
• Eighmey, J. (1997). Profiling user responses to commercial website. Journal of Advertising Research, 37(3), 59–66.
   Web of Science ®Google Scholar
• Eighmey, J. & McCord, L. (1998). Adding value in the information age: Uses and gratifications of sites on the World Wide Web. Journal of Business Research, 41(3), 187–194.
   Web of Science ®Google Scholar
• Esch, F. R., Langner, T., Schmitt, B. H., & Geus, P. (2006). Are brands forever? How brand knowledge and relationships affect current and future purchases. Journal of Product & Brand Management, 15(2), 98–105.
   Google Scholar
• Fazio, R. H. (1990). A practical guide to the use of response latency in social psychological research. In C. Hendrick & M.S. Clark (Eds.), Research methods in personality and social psychology (pp. 75–97). Thousand Oaks, CA: Sage.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382–388.
   Web of Science ®Google Scholar
• Georgios, T., & Dimitriadis, S. (2014). Brand strategies in social media. Marketing Intelligence & Planning, 32(3), 328–344.
   Google Scholar
• Goodrich, K., & de Mooij, M. (2014). How ‘social'are social media? A cross-cultural comparison of online and offline purchase decision influences. Journal of Marketing Communications, 20(1-2), 103–116.
   Google Scholar
• Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571.
   Web of Science ®Google Scholar
• Hasan, B. (2016). Perceived irritation in online shopping: The impact of website design characteristics. Computers in Human Behavior, 54, 224–230.
   Web of Science ®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(1), 5–13.
   Web of Science ®Google Scholar
• Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38–52.
   Google Scholar
• Hoffman, D., & Novak, T. P. (2012). Toward a deeper understanding of social media. Journal of Interactive Marketing, 26, 69–70.
   Web of Science ®Google Scholar
• IPSOS. (2013). Socialogue: The most common butterfly on earth is the social butterfly. Retrieved from http://ipsos-na.com/news-polls/pressrelease.aspx?id=5954/.
   Google Scholar
• Jacoby, J., & Kyner, D. B. (1973). Brand loyalty vs. repeat purchasing behavior. Journal of Marketing Research, 10(1), 1–9.
   Web of Science ®Google Scholar
• Jöreskog, K. G., & Sörbom D. (2003). LISREL 8.5: user's guide. Los Angeles: SPSS Statistical Software.
   Google Scholar
• Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), 353–364.
   Web of Science ®Google Scholar
• Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. The Journal of Marketing, 1–22.
   Web of Science ®Google Scholar
• Kim, J., Kim, J. E. & Johnson, K. K. P. (2010).The customer-salesperson relationship and sales effectiveness in luxury fashion stores: The role of self-monitoring. Journal of Global Fashion Marketing, 1(4), 230–239.
   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(10), 1480–86.
   Web of Science ®Google Scholar
• Kwon, O., & Wen, Y. (2010).An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254–263.
   Web of Science ®Google Scholar
• Lee, J., & Hong, I. B. (2016).Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. International Journal of Information Management, 36(3), 360–373.
   Web of Science ®Google Scholar
• Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095–1104.
   Web of Science ®Google Scholar
• Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161.
   Web of Science ®Google Scholar
• Luo, X. (2002).Users and gratifications theory and e-consumer behaviors. Journal of Interactive Advertising, 2(2), 34–41.
   Google Scholar
• MacKenzie, S. B., Lutz, R., & 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(5), 130–143.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Martí-Parreño, J., Aldás-Manzano, J., Currás-Pérez, R., & Sánchez-García, I. (2013). Factors contributing brand attitude in advergames: Entertainment and irritation. Journal of Brand Management, 20(5), 374–388.
   Google Scholar
• McQuail, D. (1983). Mass communication theory, an introduction. London: Sage Publications.
   Google Scholar
• Montoya-Weiss, M. M., Voss, G. B., & Grewal, D. (2003). Determinants of online channel use and overall satisfaction with a relational, multichannel service provider. Journal of the Academy of Marketing Science, 31(4), 448–458.
   Web of Science ®Google Scholar
• Muntinga, D. G., Moorman, M., & Smith, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13–46.
   Web of Science ®Google Scholar
• Nunnally, J. C., & Bernstein, I. H. (1994), Psychological theory. New York: McGraw-Hill.
   Google Scholar
• Oliver, L. R. (1997). Satisfaction: A behavioral perspective on the consumer. New York: McGraw-Hill
   Google Scholar
• Pace, S., Balboni, B., & Gistri, G. (2014). The effects of social media on brand attitude and WOM during a brand crisis: Evidences from the Barilla case. Journal of Marketing Communications, 23(2), 1–14.
   Google Scholar
• Papasolomou, I., & Melanthiou, Y. (2012). Social media: Marketing public relations’ new best friend. Journal of Promotion Management, 18(3), 319–328.
   Google Scholar
• Park, N., Kerk F. K., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyber Psychology & Behavior, 12(6), 729–733.
   PubMedGoogle Scholar
• Peneycad, M. (2014). Increase purchase intent through social media responsiveness. Retrieved from http://www.business2community.com/social-media/increase-purchase-intent-social-media-responsiveness-0864033.
   Google Scholar
• Percy, L., & Rossiter, J. R. (1992). A model of brand awareness and brand attitude advertising strategies. Psychology & Marketing, 9(4), 263–274.
   Google Scholar
• Pew Research Center (2014). Social networking fact sheet. accessed November 25, 2014. Retrieved from http://www.pewinternet.org/fact-sheets/social-networking-fact-sheet/
   Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
   PubMed Web of Science ®Google Scholar
• Pontiggia, A., & Virili, F. (2010). Network effects in technology acceptance: Laboratory experimental evidence. International Journal of Information Management, 30(1), 68–77.
   Web of Science ®Google Scholar
• Powell, J. (2009). 33 Million people in the room: How to create, influence, and run a successful business with social networking. NJ: FT Press.
   Google Scholar
• Romaniuk, J., & Sharp, B. (2004). Conceptualizing and measuring brand salience. Marketing Theory, 4(4), 327–342.
   Google Scholar
• Saadé, R., Nebebe, F., & Tan, W. (2007). Viability of the “technology acceptance model” in multimedia learning environments: a comparative study. Interdisciplinary Journal of E-Learning and Learning Objects, 3(1), 175–184.
   Google Scholar
• Schivinski, B., & Dabrowski, D. (2016). The effect of social media communication on consumer perceptions of brands. Journal of Marketing Communications, 22(2), 189–214.
   Google Scholar
• Sensis (2015). Sensis Social Media Report. Retrieved from https://www.sensis.com.au/asset/PDFdirectory/Sensis_Social_Media_Report_2015.pdf
   Google Scholar
• Seraj, M. (2012). We create, we connect, we respect, therefore we are: intellectual, social, and cultural value in online communities. Journal of Interactive Marketing, 26(4), 209–222.
   Web of Science ®Google Scholar
• Sledgianowski, D., & Kulviwat, S. (2009). Using social network sites: The effects of playfulness, critical mass and trust in a hedonic context. Journal of Computer Information Systems, 49(4), 74–83.
   Web of Science ®Google Scholar
• Stokes, R. C. (1985). The effects of price, package design, and brand familiarity on perceived quality. In J. Jacoby & J. Olson (Eds.). Perceived quality. Lexington, KY: Lexington Books.
   Google Scholar
• Taylor, D. G., Lewin, J. E., & Strutton, D. (2011). Friends, fans, and followers: do ads work on social networks?. Journal of Advertising Research, 51(1), 258–275.
   Web of Science ®Google Scholar
• Van Belleghem, S., Eenhuizen, M., & Veris, E. (2011). Social media around the world 2011. InSites Consulting.
   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.
   Web of Science ®Google Scholar
• Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 115–139.
   Web of Science ®Google Scholar
• Wang, X., Yu, C., & Wei, Y. (2012). Social media peer communication and impacts on purchase intentions: A consumer socialization framework. Journal of Interactive Marketing, 26(4), 198–208.
   Web of Science ®Google Scholar
• Woodside, A. G., & Wilson, E. J. (1985). Effects of consumer awareness of brand advertising on preference. Journal of Advertising Research, 25(4), 41–48.
   Web of Science ®Google Scholar
• Wu, J. H., Wang, S. C., & Lin, L. M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1), 66–77.
   PubMed Web of Science ®Google Scholar
• Yoo, B., & Donthu, N. (2001). Developing and validating a multidimensional consumer-based brand equity scale. Journal of Business Research, 52(1), 1–14.
   Web of Science ®Google Scholar
• Yoo, B., & Donthu, N. (2001). Developing a scale to measure the perceived quality of an Internet shopping site (SITEQUAL). Quarterly Journal of Electronic Commerce, 2(1), 31–45.
   Google Scholar