ABSTRACT
The study's objective is to determine the factors affecting the intention to share viral videos on Facebook in Viet Nam. This research employs a quantitative approach, and the sample size includes 280 Facebook users in Viet Nam. The research method includes reliability analysis, exploratory factor analysis (EFA), Pearson correlation analysis and multiple regression analysis. The research items were measured on a 5-Likert scale, and data were processed by SPSS 20.0 software. The findings identify 06 factors influencing the Intention to share viral videos among Vietnamese Facebook users: Social Currency, Triggers, Content, Public, Emotion, Practical Value. The managerial implications are also discussed to help businesses and advertising agencies to build effective marketing strategies embedded in viral videos on Facebook.
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- Sight, Sound and Mobilization: A Facebook IQ Mobile Video Study. (2022). Retrieved 20 April 2022, from https://www.facebook.com/business/news/insights/sight-sound-and-mobilizationGoogle Scholar
- Nielsen (2022). Retrieved 20 April 2022, from https://www.nielsen.com/wp-content/uploads/sites/3/2019/04/Know-Act-Grow-nov-2014.pdfGoogle Scholar
- Asia's Most Watched YouTube Ads for November 2016. (2022). Retrieved 20 April 2022, from https://www.brandinginasia.com/most-watched-november/Google Scholar
- Wang, S. L., & Lan, N. T. N. (2018). A study on the attitude of customer towards viral video advertising on social media: A case study in Viet Nam. The International Journal of Engineering and Science, 7(6), 54-60.Google Scholar
- Berger, J., & Milkman, K. L. (2013). Emotion and virality: what makes online content go viral?. NIM Marketing Intelligence Review, 5(1), 18.Google Scholar
- Cruz, D. and Fill, C., 2008. Evaluating viral marketing: isolating the key criteria. Marketing Intelligence & Planning.Google Scholar
- Engel, H. I. (2006). Heuristics and the law. Cambridge, pp. 17-41.Google Scholar
- Jurvetson, S. and Draper, T., 1997. Viral marketing. Netscape M-Files, 1(1), pp.1-20.Google Scholar
- Rodić, N., & Koivisto, E. (2012). Best practices in viral marketing. Aalto University School Of Economics.Google Scholar
- Goldenberg, J. L. (2001). Talk the network: a complex systems look at the underlying processGoogle Scholar
- De Bruyn, A., & Lilien, G. L. (2004). A multi-stage model of word of mouth through electronic referrals. eBusiness Research Center, Working Paper.Google Scholar
- Wilson, R. (2000). The six simple principles of viral marketing. Marketing Today, pp. 1-4. 37.Google Scholar
- Xavier, L. J. W., & Summer, G. Y. S. (2009). Viral marketing communication: The internet word-of-mouth. Unpublished master's thesis, Blekinge Institute of Technology.Google Scholar
- Fairbank, V. (2008). A Study into the Effectiveness of Viral Marketing over the Internet. Cheltenham: University of Gloucestershire.Google Scholar
- Scott, D. M. (2013), The New Rules of Marketing and PR: How to Use News Releases, Blogs, Podcasting, Viral Marketing and Online Media to Reach Buyers Directly, Jonh Wiley & Sons.Google Scholar
- Chaffey, D. (2003). Total E-Mail Marketing. Oxford: Butterworth Heinemann.Google Scholar
- Wathen, C. N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the Web. Journal of the American society for information science and technology, 53(2), 134-144.Google Scholar
- Turban, E., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2015). Overview of electronic commerce. In Electronic commerce (pp. 3-49). Springer, Cham.Google Scholar
- Lastufka, A., & Dean, M. W. (2008). Youtube: An insider's guide to climbing the charts. " O'Reilly Media, Inc.".Google Scholar
- Gleeson, B. (2012). Critical commentary. The urban age: paradox and prospect. Urban Studies, 49(5), 931-943.Google ScholarCross Ref
- Jiang, L., Miao, Y., Yang, Y., Lan, Z., & Hauptmann, A. G. (2014, April). Viral video style: A closer look at viral videos on youtube. In Proceedings of International Conference on Multimedia Retrieval (pp. 193-200).Google ScholarDigital Library
- Anderson, E. T., & Simester, D. (2013). Advertising in a competitive market: The role of product standards, customer learning, and switching costs. Journal of Marketing research, 50(4), 489-504.Google Scholar
- Tellis, G. J., MacInnis, D. J., Tirunillai, S., & Zhang, Y. (2019). What drives virality (sharing) of online digital content? The critical role of information, emotion, and brand prominence. Journal of Marketing, 83(4), 1-20.Google Scholar
- Maslow, A. H., Stephens, D. C., & Heil, G. (1998). Maslow on management. New York: John Wiley.Google Scholar
- Berger, J., & Fitzsimons, G. (2008). Dogs on the street, pumas on your feet: How cues in the environment influence product evaluation and choice. Journal of marketing research, 45(1), 1-14.Google Scholar
- Walsh, B. W., & Rosen, P. (1985). Self-mutilation and contagion: an empirical test. The American Journal of Psychiatry.Google Scholar
- Shapiro, S., MacInnis, D. J., Heckler, S. E., & Perez, A. M. (1999). An experimental method for studying unconscious perception in a marketing context. Psychology & Marketing, 16(6), 459-477.Google Scholar
- Nguyen, T., & Nguyen, T. (2015). Factors that make a marketing cam-paign go viral: Case study: Campaign” Share a Coke” by Coca Cola in Vietnam.Google Scholar
- Fehr, E., Kirchsteiger, G., & Riedl, A. (1998). Gift exchange and reciprocity in competitive experimental markets. European Economic Review, 42(1), 1-34.Google Scholar
- Peters, K., & Kashima, Y. (2007). From social talk to social action: shaping the social triad with emotion sharing. Journal of personality and social psychology, 93(5), 780.Google Scholar
- Abosag, I., Ramadan, Z. B., Baker, T., & Jin, Z. (2020). Customers' need for uniqueness theory versus brand congruence theory: The impact on satisfaction with social network sites. Journal of Business Research, 117, 862-872.Google Scholar
- Bandura, A., & Walters, R. H. (1977). Social learning theory(Vol. 1). Prentice Hall: Englewood cliffs.Google Scholar
- Polis, G. A., Anderson, W. B., & Holt, R. D. (1997). Toward an integration of landscape and food web ecology: the dynamics of spatially subsidized food webs. Annual review of ecology and systematics, 289-316.Google Scholar
- Çelen, B., & Kariv, S. (2004). Distinguishing informational cascades from herd behavior in the laboratory. American Economic Review, 94(3), 484-498.Google Scholar
- Rashotte, L. (2007). Social influence. The Blackwell encyclopedia of sociology.Google Scholar
- Salganik, M. J., Dodds, P. S., & Watts, D. J. (2006). Experimental study of inequality and unpredictability in an artificial cultural market. science, 311(5762), 854-856.Google Scholar
- Watts, D. J., Peretti, J., & Frumin, M. (2007). Viral marketing for the real world (pp. 22-23). Boston: Harvard Business School Pub.Google Scholar
- Vargo, S. L., Akaka, M. A., & Wieland, H. (2020). Rethinking the process of diffusion in innovation: A service-ecosystems and institutional perspective. Journal of Business Research, 116, 526-534.Google Scholar
- Pugh, S. D. (2001). Service with a smile: Emotional contagion in the service encounter. Academy of management journal, 44(5), 1018-1027.Google Scholar
- Ashkanasy, N. M., & Humphrey, R. H. (2011). Current emotion research in organizational behavior. Emotion review, 3(2), 214-224.Google Scholar
- Lawler, E. J., & Thye, S. R. (1999). Bringing emotions into social exchange theory. Annual review of sociology, 217-244.Google Scholar
- Barsade, S. G., & Gibson, D. E. (2007). Why does affect matter in organizations?. Academy of management perspectives, 21(1), 36-59.Google Scholar
- Russell, J. A. (1980). A circumplex model of affect. Journal of personality and social psychology, 39(6), 1161.Google Scholar
- Watson, D., & Tellegen, A. (1985). Toward a consensual structure of mood. Psychological bulletin, 98(2), 219.Google Scholar
- Chakrabarti, R., & Berthon, P. (2012). Gift giving and social emotions: experience as content. Journal of Public Affairs, 12(2), 154-161.Google Scholar
- Rothman, J. (2009). Spirituality: What we can teach and how we can teach it. Journal of Religion & Spirituality in Social Work: Social Thought, 28(1-2), 161-184.Google Scholar
- Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1993). Emotional contagion. Current directions in psychological science, 2(3), 96-100.Google Scholar
- Barger, P. B., & Grandey, A. A. (2006). Service with a smile and encounter satisfaction: Emotional contagion and appraisal mechanisms. Academy of management journal, 49(6), 1229-1238.Google Scholar
- Du Plessis, C. (2017). The role of content marketing in social media content communities. South African Journal of Information Management, 19(1), 1-7.Google Scholar
- Barsade, S. G. (2002). The ripple effect: Emotional contagion and its influence on group behavior. Administrative science quarterly, 47(4), 644-675.Google Scholar
- Sutton, R. I., & Rafaeli, A. (1988). Untangling the relationship between displayed emotions and organizational sales: The case of convenience stores. Academy of Management journal, 31(3), 461-487Google Scholar
- Schoenewolf, G. (1990). Emotional contagion: Behavioral induction in individuals and groups. Modern Psychoanalysis, 15(1), 49-61.Google Scholar
- Kahneman, D., & Tversky, A. (1979). On the interpretation of intuitive probability: A reply to Jonathan Cohen.Google Scholar
- Hoang, T., & Chu, N. M. N. (2008). Analysis of research data with SPSS. Vietnam: Hong Duc Publishing House.Google Scholar
- Tho, N. D., & Trang, N. T. (2011). Enhancing relationship value between manufacturers and distributors through personal interaction: Evidence from Vietnam. Journal of Management Development, 30(4), 316-328.Google Scholar
- Nunnally, J. C. (1978). An overview of psychological measurement. Clinical diagnosis of mental disorders, 97-146.Google Scholar
- Kaiser-Meyer-Olkin, K. M. O., from Deforestation, R. R. E., & Areas, V. V. C. CDM Clean Development Mechanism CO2 Carbon dioxide ESS Ecosystem services EU European Union FAO. Expanding the Markets for Environmental Protection.Google Scholar
- Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review.Google Scholar
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