Forecasting User Responsiveness to Sponsored Advertisement over Social Media through the TAM
DOI:
https://doi.org/10.61841/2qnf4v69Keywords:
customer conduct, curiosity issues,, confidentiality issues, buying intention, TAM, Facebook sponsored adsAbstract
Spon
sored advertisement has produced effective marketing returns for Facebook in last few years. Since sponsored advertisement is generated over an interactional platform that would be observed as intrusive to individual’s privacy, the enhancement of this advertisement platform has significant implications for customers, and ads equivalent. Although limited literature is available on user responsiveness to sponsored advertisement, this study evaluates the influence of individual assumption of confidentiality venture, curiosity issues and services of sponsored advertisement over customer conducts and buying intention. Estimating a paradigm proposed via TAM (Technology Acceptance Model), this study finds that confidentiality and curiosity issues are both authentic precedence variables to assumed usefulness instead of assumed feasibility of utilization of sponsored ads, only confidentiality issues possess influence over items buying intentions. The hypothetical statements association among assumed usefulness, feasibility of utilization, conducts and buying intentions were also verified.
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[1] Brettel, M., Reich, J., Gavilanes, J. M., & Flatten, T. C. (2015). What drives advertising success on Facebook? an advertising-effectiveness model: Measuring the effects on sales of “likes” and other social-network stimuli. Journal of Advertising
[2] Carlson, A., & Christopher Lee, C. (2015). Followership and social media marketing. Academy of Marketing Studies Journal, 19(1), 80e101.
[3] Nelson-Field, K., Riebe, E., & Sharp, B. (2013). More mutter about clutter extending empirical generalizations to Facebook. Journal of Advertising Research, 53(2), 186e191. http://dx.doi.org/10.2501/JAR-53-2-186-191.
[4] Dehghani, M., & Tumer, M. (2015). A research on effectiveness of Facebook advertising on enhancing purchase intention of consumers. Computers in Human Behavior, 49, 597e600. http://dx.doi.org/10.1016/j.chb.2015.03.051.
[5] Barreto, A. M. (2013). Do users look at banner ads on Facebook? Journal of Research in Interactive Marketing, 7(2), 119e139. http://dx.doi.org/10.1108/JRIM-Mar 2012-0013.
[6] Villiard, H., & Moreno, M. A. (2012). Fitness on Facebook: Advertisements generated in response to profile content. Cyberpsychology, Behavior, and Social Networking, 15(10), 564e568.
[7] Dyrud, M. A. (2011). Social networking and business communication pedagogy: Plugging into the Facebook generation. Business Communication Quarterly, 74(4), 475e478.
[8] Taylor, D. G., Lewin, J. E., & Sturtton, D. (2011). Friends, fans, and followers: Do ads work on social networks? How gender and age shape receptivity. Journal of Advertising Research, 51(1), 258e275.
[9] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319e340.
[10] Shin, D. H. (2011). The influence of perceived characteristics of innovating on 4G mobile adoption. International Journal of Mobile Communication, 9(3), 261e279.
[11] Yoon, H. Y. (2016). User acceptance of mobile library applications in academic libraries: an application of the technology acceptance model. The Journal of Academic Librarianship, 42(6), 687-693.
[12] Grab, B., Geldmacher, W., & Kompalla, A. (2019). DERIVATION OF A MODIFIED TECHNOLOGY ACCEPTANCE MODEL FOR THE APPLICATION ON SELF-DRIVING CARS IN A CAR-SHARING- MODEL BASED ON QUALITATIVE RESEARCH. Ecoforum Journal, 8(1).
[13] Galib, M. H., Hammou, K. A., & Steiger, J. (2018). Predicting Consumer Behavior: An Extension of Technology Acceptance Model. International Journal of Marketing Studies, 10(3).
[14] Vukasovic, T., & Stra_sek, R. (2014). A study on effective communication strategy in developing brand communication: Analysis of social networking site. Paper presented at the Lecture Notes in Engineering and Computer Science, 1, 690e693.
[15] Xie, K., & Lee, Y. (2015). Social media and brand purchase: Quantifying the effects of exposures to earned and owned social media activities in a two-stage decision making model. Journal of Management Information Systems, 32(2), 204e238.
[16] Shipps, B., & Phillips, B. (2013). Social networks, interactivity and satisfaction: Assessing socio-technical behavioral factors as an extension to technology acceptance. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 35e52
[17] Hunt, D., Lin, C., & Atkin, D. (2014). Communicating social relationships via the use of photo -messaging. Journal of Broadcasting & Electronic Media, 58(2), 234e252
[18] Rese, A., Schreiber, S., & Baier, D. (2014). Technology acceptance modeling of augmented reality at the point of sale: Can surveys be replaced by an analysis of online reviews? Journal of Retailing and Consumer Services, 21(5), 869e876.
[19] Vatnani, R., & Verma, S. (2014). Comprehensive framework for internet banking adoption: An empirical analysis in the Indian context. International Journal of Business Information Systems, 15(3), 307e324.
[20] Dash, M., Mohanty, A. K., Pattnaik, S., Mohapatra, R. C., & Sahoo, D. S. (2011). Using the TAM model to explain how attitudes determine adoption of internet banking. European Journal of Economics, Finance and Administrative Sciences, 36, 50e59.
[21] Chang, C. C., & Chang, P. C. (2013). A study on Taiwan consumers' adoption of online financial services. Asia Pacific Management Review, 18(2), 197e220.
[22] Okazaki, S., Li, H., & Hirose, M. (2012). Benchmarking the use of QR code in mobile promotion: Three studies in Japan. Journal of Advertising Research, 52(1), 102e117.
[23] Young, A. L., & Quan-Haase, A. (2013). Privacy protection strategies on Facebook The Internet privacy paradox revisited. Information Communication and Society, 16(4), 479e500.
[24] McCoy, S., Everard, A., Galletta, D. F., & Moody, G. D. (2017). Here we go again! The impact of website ad repetition on recall, intrusiveness, attitudes, and site revisit intentions. Information & Management, 54(1), 14-24.
[25] van Doorn, J., & Hoekstra, J. C. (2013). Customization of online advertising: The role of intrusiveness. Marketing Letters, 24(4), 339e351.
[26] Saxena, A., & Khanna, U. (2013). Advertising on social network sites: A structural equation modelling approach.
Vision (09722629), 17(1), 17e25
[27] (Schumann, J. H., von Wangenheim, F., & Groene, N. (2014). Targeted online advertising: Using reciprocity appeals to increase acceptance among users of free web services. Journal of Marketing, 78(1), 59e75
[28] Taylor, D. G., Lewin, J. E., & Sturtton, D. (2011). Friends, fans, and followers: Do ads work on social networks? How gender and age shape receptivity. Journal of Advertising Research, 51(1), 258e275.
[29] Ducoffe, R. H. (1996). Advertising value and advertising the Web. Journal of Advertising Research, 36(5), 21e35.
[30] Cheng, J. M. S., Blankson, C., Wang, E. S. T., & Chen, L. S. L. (2009). Consumer attitudes and interactive digital advertising. International Journal of Advertising, 28(3), 501e525.
[31] Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6e30.
[32] Wolfinbarger, M., & Gilly, M. C. (2003). EtailQ: Dimensionalizing, measuring, and predicting Etail quality.
Journal of Retailing, 79(3), 183e198
[33] Li, H., Edwards, S. M., & Lee, J. H. (2002). Measuring the intrusiveness of advertisements: Scale development and validation. Journal of Advertising, 31(2), 37e47.
[34] Khare, A., & Sadachar, A. (2014). Collective self-esteem and online shopping attitudes among college students:
Comparison between the U.S. and India. Journal of International Consumer Marketing, 26(2), 106e121
[35] Nelson-Field, K., Riebe, E., & Sharp, B. (2013). More mutter about clutter extending empirical generalizations to Facebook. Journal of Advertising Research, 53(2), 186e191.
[36] Hunt D., Lin, C., & Atkin, D. (2014). Communicating social relationships via the use of photo -messaging. Journal of Broadcasting & Electronic Media, 58(2), 234e252.
[37] Okazaki, S., Li, H., & Hirose, M. (2012). Benchmarking the use of QR code in mobile promotion: Three studies in Japan. Journal of Advertising Research, 52(1), 102e117.
[38] Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1), 34e49.
[39] Young, A. L., & Quan-Haase, A. (2013). Privacy protection strategies on Facebook: The Internet privacy paradox revisited. Information Communication and Society, 16(4), 479e500.
[40] Peterson, T. (2015). Facebook's mobile revenue climbs to $2.5 billion as Ad prices soar: Social network is selling fewer ads but charging much higher prices. Advertising.
[41] Jermsittiparsert, K., Sutduean, J., & Sriyakul, T. (2018). Social Customer Relationship Management Capabilities and Customer Relationship Performance: Moderating Role of Social Media (Face-book) Usage among Indonesian Firms. Opcion, 34(86), 1257-1273.
[42] Jermsittiparsert, K., Sutduean, J., & Sriyakul, T. (2019). Determinants of Social Media Usage (Face-book) to Create Brand Awareness among Indonesian Consumers. International Journal of Innovation, Creativity and Change, 5(2), 1272-1289.
[43] Vipaporn, T., Pakvichai, V., & Jermsittiparsert, K. (2019). Analyzing the Usage of Internet of Things among Indonesian pharmaceutical Customers: Role of Social Media related Determinants. Systematic Reviews in Pharmacy, 10(2), 352-361.
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