[email protected]
DOI:
https://doi.org/10.61841/m6be1f41Keywords:
SNS, affinity, social impact, viral conduct.Abstract
As social networks utilities are nowadays more prevalent, social media advertisement rises as an appealing means for amplifying advertisement performance. To take advantage with this latest medium of marketing, everyone should know what deals with social networking sites users in their favorite web-based conduct which is openly pointing out personal, or in favor for, the open note by clicking the Like or Post button in Facebook, which in turn result in an efficient advertisement drive. The current study conceptualized social networking sites advertisement performance as an idea enclosing sentimental appeal, informativeness, and ingenuity that comprises a tendency to collaborate to productive web-based conduct. It experimentally evaluates the precedence of productive user conduct for social networking sites advertisements based on the theory of reasoned action, the social influence theory, and persuasion theory. It suggests and examines a conceptual paradigm of the establishment of web-based users conduct responsiveness by following social network sites advertisement. The outcomes of our experimental estimation of the paradigm uncover that informativeness and advertisement ingenuity were main determinants of prosperous conduct responsiveness to social networking sites advertisement and that target to involve in prosperous user responsiveness was productively related with buying intention. Based on these consequences, current research recommends future study directions and provides implementations for governing the complete tendency of the latest social networking sites advertisement forum.
Downloads
References
[1] 08.09.15Wikipedia.org (2015b). Social media marketing. http://en.wikipedia.org/wiki/Social media marketing Accessed 01.10.15.
[2] Burg, N. (2013). How to measure your social media return on investment. Forbes,.Retrieved from http://www.forbes.com/sites/capitalonespark/2013/04/25/how-to-measure-your-social-media-return-on-investment Accessed 10.10.15
[3] Logan, K., Bright, L. F., & Grngadharbatla, H. (2012). Facebook versus television: advertising value perceptions among females. Journal of Research in InteractiveMarketing, 6, 164–179.
[4] Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: an introduction to theory and research. Reading, Massachusetts: Addison-Wesley.
[5] Choi, S. (2013). An empirical study of social network service (SNS) continuance: incorporating the customer value- satisfaction-loyalty model into the continuance model. The Asian Pacific Journal of Information Technology, 23, 1– 28.
[6] Colman, A. M. (2014). The bandwagon effect. In the Oxford dictionary of psychology (4thed.). New York: Oxford University Press.
[7] Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental social psychology(Vol. 19) (pp. 123–205). New York: Academic Press.
[8] Swani, K., Milne, G., & Brown, B. P. (2013). Spreading the word through likes onFacebook: evaluating the message strategy effectiveness of Fortune 500companies. Journal of Research in Interactive Marketing, 7, 269–294.
[9] Davis, M. H. (2018). Empathy: A social psychological approach. Routledge.
[10] Alhabash, S., & McAlister, A. R. (2014). Redefining virality in less broad strokes: predicting viral behavioral intentions from motivations and uses of Facebook and Twitter. New Media & Society, 1–23.
[11] Swani, K., Milne, G., & Brown, B. P. (2013). Spreading the word through likes onFacebook: evaluating the message strategy effectiveness of Fortune 500companies. Journal of Research in Interactive Marketing, 7, 269–294.
[12] Chin, C. Y., & Lu, H. P. (2015). Facebook users' motivation for clicking the Like button. Social Behavior and Personality, 43, 579–592.
[13] Li, X., & Wu, L. (2013). Measuring effects of observational learning and social-network word-of-mouth (WOM) on the sales of daily-deal vouchers. InProceedings of the 46th Hawaii International Conference on System Sciences (pp.2908–2917).
[14] Pöyry, E., Parvinen, P., & Malmivaara, T. (2013). The power of 'Like'—interpreting usage behaviors in company- hosted Facebook pages. In 2013 46th HawaiiInternational Conference on System Sciences.
[15] Alhabash, S., McAlister, A. R., Quillam, E. T., Rifon, N. J., & Richards, J. I. (2013).Between likes and shares: effects of emotional appeal and virality on the persuasiveness of anti-cyberbullying messages on Facebook. Cyberpsychology, Behavior and Social Networking, 16, 175–182.
[16] Carter, C. S., Bearden, C. E., Bullmore, E. T., Geschwind, D. H., Glahn, D. C., Gur, R. E., ... & Weinberger, D. R. (2017). Enhancing the informativeness and replicability of imaging genomics studies. Biological psychiatry, 82(3), 157-164.
[17] Baack, D. W., Wilson, R. T., van Dessel, M. M., & Patti, C. H. (2016). Advertising to businesses: Does creativity matter?. Industrial Marketing Management, 55, 169-177.
[18] Reinartz, W., & Saffert, P. (2013). Creativity in advertising: when it works and when it does not. Harvard Business Review, 1–8.
[19] Sharps, M., & Robinson, E. (2017). Perceived eating norms and children's eating behavior: An informational social influence account. Appetite, 113, 41-50.
[20] Colman, A. M. (2014). The bandwagon effect. In the Oxford dictionary of psychology (4thed.). New York: Oxford University Press.
[21] Zhu, S., & Chen, J. (2016). E-commerce use in urbanizing China: the role of normative social influence. Behaviour & Information Technology, 35(5), 357-367.
[22] Cohen, J. B., & Golden, E. (1972). Informational social influence and product evaluation. Journal of Applied Psychology, 56, 54–59.
[23] Stieger, S., Burger, C., Bohn, M., & Voracek, M. (2013). Who commits virtual identity suicide? Differences in privacy concerns, Internet addiction, and personality between Facebook users and quitters. Cyberpsychology, Behavior, and social networking, 16, 629–634.
[24] Zlatolas, L. N., Welzer, T., Hericko, M., & Hölbl, M. (2015). Privacy antecedents for SNS self-disclosure: the case of Facebook. Computers in Human Behavior, 45,158–167.
[25] Privacy concerns with social networking services. http://en.wikipedia.org/wiki/Privacy concerns with social networking services accessed 08.09.15Wikipedia
[26] McDermott, J. (2014). Facebook bounces back with college kids. Digiday,. Retrieved from http://digiday.com/platforms/facebook-bounces-back-among-college-aged-users/ Accessed 23.12.15
[27] Davis, M. (1983). Measuring individual differences in empathy: evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44,113–126.
[28] Escalas, J. E., & Stern, B. B. (2003). Sympathy and empathy: emotional responses to advertising dramas. Journal of Consumer Research, 29, 566–578.
[29] Logan, K., Bright, L. F., & Grngadharbatla, H. (2012). Facebook versus television: advertising value perceptions among females. Journal of Research in InteractiveMarketing, 6, 164–179.
[30] Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: a principal-agent perspective. MIS Quarterly,31, 105–136.
[31] Haberland, G. S., & Dacin, P. A. (1992). The development of a measure to assess viewers' judgment of the creativity of an advertisement: a preliminary study.Advances in Consumer Research, 19(1), 817–825.
[32] 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.
[33] 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.
[34] Buchanan, T., Paine, C., Joinson, A. N., & Reips, U. D. (2007). Development of measures of online privacy concern and protection for use on the Internet.Journal of the American Society for Information Science and Technology, 58,157–165.
[35] Huang, J. H., & Chen, Y. F. (2006). Herding in Online Product Choice. Psychology &Marketing, 23(5), 413–428.
[36] Yoo, C. W., Kim, Y. J., Moon, J., & Choe, Y. C. (2008). The effects of herding behavior and perceived usefulness on an intention to purchase e-learning content: comparison analysis by purchase experience. Asia Pacific Journal of Information Systems, 18, 105–130.
[37] Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Upper Saddle River, NJ: Prentice-Hall.
[38] Holbrook, M. B., & Batra, R. (1987). Assessing the role of emotions as mediators of consumer responses to advertising. Journal of Consumer Research, 14, 404–420.
[39] Alhabash, S., McAlister, A. R., Quillam, E. T., Rifon, N. J., & Richards, J. I. (2013).Between likes and shares: effects of emotional appeal and virality on the persuasiveness of anti-cyberbullying messages on Facebook. Cyberpsychology, Behavior and Social Networking, 16, 175–182.
[40] Kline, R. (2005). Principles and practice of structural equation modeling. NY: Guilford Press.
[41] Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: algebra and statistics. Journal of Marketing Research, 18, 382–388.
[42] Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006).Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall.
[43] Muk, A., & Chung, C. (2014). Driving consumers to become fans of brand pages: a theoretical framework. Journal of Interactive Advertising, 14, 1–10.
[44] Chen, H. T., & Kim, Y. (2013). Problematic use of social network sites: the interactive relationship between gratifications sought and privacy concerns. Cyberpsychology, Behavior and Social Networking, 16, 806–812.
[45] Sung, J., & Cho, K. (2012). The influence of media type on attitude toward mobile advertisements over time. Cyberpsychology, Behavior and Social Networking, 15, 31–36.
[46] 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.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
