The Influence of Social Influencers on Awareness of ‘Don’t Drink and Drive’ Social Marketing Campaigns among Thai Youth

Main Article Content

Kessara Kanchanapoom
Phuangpornphat Viriya

บทคัดย่อ

This study examines the influence of social influencer credibility on awareness of the "Don't Drink and Drive" (DDD) social marketing campaign among Thai youth. Drunk driving remains a major public safety concern in Thailand, particularly among young adults who are highly active on social media platforms. Grounded in the Source Credibility Model, this research investigates how three influencer attributes—attractiveness, expertise, and trustworthiness affect campaign awareness. A quantitative cross-sectional survey was conducted with 450 respondents aged 18–24 in Bangkok and Nakhon Ratchasima, Thailand. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that all hypothesized relationships are supported. Expertise emerged as the strongest predictor of trustworthiness (β = 0.526) and also showed the strongest direct effect on DDD campaign awareness (β = 0.267). In addition, trustworthiness significantly mediates the relationships between both attractiveness and expertise with campaign awareness. The findings extend the Source Credibility Model to a prosocial communication context and provide practical insights for policymakers and social marketing practitioners in designing effective influencer-based road safety campaigns targeting young audiences.

Article Details

รูปแบบการอ้างอิง
Kanchanapoom, K., & Viriya, P. (2026). The Influence of Social Influencers on Awareness of ‘Don’t Drink and Drive’ Social Marketing Campaigns among Thai Youth. Journal of Business, Innovation and Sustainability (JBIS), 21(2). https://doi.org/10.71185/jbis.2026.285126
ประเภทบทความ
บทความวิจัย (Research article)

เอกสารอ้างอิง

AlFarraj, O., Alalwan, A. A., Obeidat, Z. M., Baabdullah, A., Aldmour, R. and Al-Haddad, S. (2021). Examining the impact of influencers' credibility dimensions: Attractiveness, trustworthiness and expertise on the purchase intention in the aesthetic dermatology industry. Review of International Business and Strategy, 31(3), 355–374.

Alghizzawi, M. (2019). A survey of the role of social media platforms in viral marketing: The influence of eWOM. International Journal of Information Technology and Language Studies, 3(2), 54–60.

Andreasen, A. R. (1994). Social marketing: Its definition and domain. Journal of Public Policy & Marketing, 13(1), 108–114.

Argyris, Y. A., Wang, Z., Kim, Y. and Yin, Z. (2020). The effects of visual congruence on increasing consumers' brand engagement: An empirical investigation of influencer marketing on Instagram using deep learning convolutional neural network. Computers in Human Behavior, 112, 106443.

Aw, E. C.-X. and Labrecque, L. I. (2020). Celebrity endorsement in social media contexts: Understanding the role of parasocial interactions and the need to belong. Journal of Consumer Marketing, 37(7), 895–908.

Chapple, C. and Cownie, F. (2017). An investigation into viewers' trust in and response towards disclosed paid-for-endorsements by YouTube lifestyle vloggers. Journal of Promotional Communications, 5(2), 110–136.

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.

DataReportal. (2024). Digital 2024: Thailand. Retrieved May 13, 2026, from https://datareportal. com/reports/digital-2024-thailand

Department of Disease Control. (2023). Annual report on road traffic injury surveillance in Thailand. Bangkok: Ministry of Public Health.

De Veirman, M., Cauberghe, V. and Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828.

Dijkstra, T. K. and Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316.

Djafarova, E. and Rushworth, C. (2017). Exploring the credibility of online celebrities' Instagram profiles in influencing the purchase decisions of young female users. Computers in Human Behavior, 68, 1–7.

Electronic Transactions Development Agency. (2023). Thailand internet user behavior 2023. Retrieved May 13, 2026, from https://www.etda.or.th

Flanagin, A. J. and Metzger, M. J. (2007). The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media & Society, 9(2), 319–342.

Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River, NJ: Pearson Education.

Hair, J. F., Jr., Howard, M. C. and Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110.

Hair, J. F., Ringle, C. M. and Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12.

Hair, J. F., Jr., Risher, J. J., Sarstedt, M. and Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

Hovland, C. I., Janis, I. L. and Kelley, H. H. (1953). Communication and persuasion: Psychological studies of opinion change. New Haven, CT: Yale University Press.

Ismagilova, E., Dwivedi, Y. K., Slade, E. and Williams, M. D. (2020). Electronic word of mouth (eWOM) in the marketing context: A state of the art analysis and future directions. Cham: Springer.

Jin, S. V., Muqaddam, A. and Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence & Planning, 37(5), 567–579.

Kamins, M. A. (1990). An investigation into the "match-up" hypothesis in celebrity advertising: When beauty may be only skin deep. Journal of Advertising, 19(1), 4–13.

Kemp, S. (2024). Digital 2024: Global overview report. Retrieved from https://datareportal.com/reports/digital-2024-global-overview-report

Ki, C. W., Cuevas, L. M., Chong, S. M. and Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services, 55, 102133.

Kim, D. Y. and Kim, H.-Y. (2021). Trust me, trust me not: A nuanced view of influencer marketing on social media. Journal of Business Research, 134, 223–232.

Lee, N. R. and Kotler, P. (2019). Social marketing: Behavior change for good (6th ed.). SAGE Publications.

Lou, C. and Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58–73.

MacCallum, R. C., Browne, M. W. and Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149.

McGuire, W. J. (1985). Attitudes and attitude change. In G. Lindzey and E. Aronson (Eds.), Handbook of social psychology (3rd ed., Vol. 2, pp. 233–346). New York: Random House.

Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52.

Petty, R. E. and Cacioppo, J. T. (1986). Communication and persuasion: Central and peripheral routes to attitude change. New York: Springer.

Rundle-Thiele, S., David, P., Willmott, T., Pang, B., Eagle, L. and Hay, R. (2019). Social marketing theory development goals: An agenda to drive change. Journal of Marketing Management, 35(1–2), 160–181.

Schouten, A. P., Janssen, L. and Verspaget, M. (2020). Celebrity vs. influencer endorsements in advertising: The role of identification,credibility, and product-endorser fit. International Journal of Advertising, 39(2), 258–281.

Schumacker, R. E. and Lomax, R. G. (2004). A beginner's guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

Simeon, R., Dewidar, O., Trawin, J., Duench, S., Manson, H., Pardo Pardo, J., Petkovic, J., Hatcher Roberts, J., Tugwell, P., Yoganathan, M., Presseau, J. and Welch, V. (2020). Behavior change techniques included in reports of social media interventions for promoting health behaviors in adults: Content analysis within a systematic review. Journal of Medical Internet Research, 22(6), e16002.

Sokolova, K. and Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742.

Till, B. D. and Busler, M. (2000). The match-up hypothesis: Physical attractiveness, expertise, and the role of fit on brand attitude, purchase intent and brand beliefs. Journal of Advertising, 29(3), 1–13.

Wakefield, M. A., Loken, B. and Hornik, R. C. (2010). Use of mass media campaigns to change health behaviour. The Lancet, 376(9748), 1261–1271.

World Health Organization. (2023). Global status report on road safety 2023. Retrieved from https://www.who.int/publications/i/item/9789240086517.