Impact of Beauty Influencer Credibility and Emotional Attachment on Beauty Product Purchase Intention on Tiktok: The Moderating Role of Information Overload (A Case Study of TikTok Users in Denpasar, Bali)
DOI:
https://doi.org/10.38035/dijms.v7i3.6266Keywords:
Beauty Influencer Credibility, Emotional Attachment, Purchase Intention, Information Overload, TikTokAbstract
The digital marketing landscape in the beauty industry increasingly relies on the role of beauty influencers along with the rapid growth of the TikTok platform. This study aims to analyze the effect of beauty influencer credibility and emotional attachment on purchase intention for beauty products by examining the moderating role of information overload. This research employed a quantitative approach with active TikTok users in Denpasar City, Bali, as the research object. Data were collected through an online questionnaire distributed to 200 respondents selected using an accidental sampling technique. Data analysis was conducted using a variance-based structural equation modeling method. The results indicate that beauty influencer credibility and emotional attachment have a positive and significant effect on purchase intention. Furthermore, information overload was found to strengthen the influence of beauty influencer credibility and emotional attachment on purchase intention. These findings suggest that excessive information conditions encourage consumers to rely on trusted influencers when making purchasing decisions. Practically, this study recommends that the beauty industry position influencers as information guides who are able to deliver simplified, personalized, and authentic marketing messages.
References
Agnihotri, D., Chaturvedi, P., & Tripathi, V. (2024). The impact of social media influencer information overload on purchase avoidance: The role of customer confusion and prior product knowledge. Journal of Research in Interactive Marketing, ahead-of-print. https://doi.org/10.1108/JRIM-12-2023-0454
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alhamad, H., & Donyai, P. (2021). The validity of the theory of planned behaviour for understanding people’s beliefs and intentions toward reusing medicines. Pharmacy, 9(1), 58. https://doi.org/10.3390/pharmacy9010058
Al-Kumaim, N. H., Alhazmi, A. K., Hassan, S. H., & Almazroi, A. A. (2021). Information overload and social media fatigue: A systematic review. Journal of Business Research, 130, 394–409.
Andayani, N. P. (2024). Analisis strategi pemasaran The Face Shop Denpasar (Undergraduate thesis). Universitas Pendidikan Ganesha.
Appiah Kusi, G., Rumki, M. Z. A., Quarcoo, F. H., Otchere, E., & Fu, G. (2022). The role of information overload on consumers’ online shopping behavior. Journal of Business and Management Studies, 4(4), 162–178.
Arbia, M., Ertz, M., Horrich, A., & Bouzaabia, O. (2025). Influencing beauty perceptions: Role of TikTok influencer information adoption in shaping consumer views of cosmetic product quality. Administrative Sciences, 15(8), 294. https://doi.org/10.3390/admsci15080294
Astutik, Y., & Sukesti, R. (2023). Pengaruh viral marketing dan harga terhadap keputusan pembelian produk kosmetik. Jurnal Ekonomi dan Bisnis Islam, 10(1), 45–56.
Barry, L. (2024). Influencing beauty: The impact of TikTok influencers on Gen Z and the cosmetic industry (Master’s thesis). Bryant University.
Barta, A., Pak, M., & Kim, J. (2023). Peripheral cues and consumer trust: A TikTok study. Social Media + Society, 9(1), 1–10.
Barta, J. T., Ryu, J., & Kim, H. (2023). Peripheral processing in digital persuasion: The role of overload and influencer cues. Journal of Consumer Psychology, 33(2), 241–259.
Business of Apps. (2024). TikTok revenue and usage statistics. https://www.businessofapps.com/data/tik-tok-statistics/
Custinho, P., Gomes, C., & Teixeira, T. (2023). Credibility of social media influencers: Impact on purchase intention. Journal of Digital Marketing, 7(4), 220–233.
Dong, Y., Zhang, W., & Chen, L. (2024). Digital information overload and consumer decision-making: Insights from TikTok users. International Journal of Interactive Marketing.
Dong, X., Wang, C., & Li, M. (2024). Peripheral cues in short-video marketing: The case of TikTok. Computers in Human Behavior, 140, 107547.
Edmunds, A., & Morris, A. (2000). The problem of information overload in business organisations. International Journal of Information Management, 20(1), 17–28. https://doi.org/10.1016/S0268-4012(99)00051-1
Eppler, M. J., & Mengis, J. (2004). The concept of information overload. The Information Society, 20(5), 325–344. https://doi.org/10.1080/01972240490507974
Ferdinand, A. (2014). Metode penelitian manajemen. Badan Penerbit Universitas Diponegoro.
Fernández, C., Martínez, M., & Gómez, A. (2024). How social media influencers affect behavioural intentions. Journal of Marketing Theory and Practice, 32(1), 112–130.
Gary, J. (2024). Examining the interplay of information, emotions, and behavior: PLS-ANN analysis. Frontiers in Communication, 9, 1411870. https://doi.org/10.3389/fcomm.2024.1411870
Ge, K. (2025). Research on the impact of emotional interaction on consumer purchase intention in social commerce. International Journal of Sociologies and Anthropologies Science Reviews, 5(1).
Ghozali, I. (2016). Aplikasi analisis multivariate dengan program IBM SPSS 23. Badan Penerbit Universitas Diponegoro.
Grabowska, J., Jaciow, M., & Strzelecki, A. (2025). The impact of TikTok on consumers’ purchase intentions. Journal of Economics and Management, 47, 385–412. https://doi.org/10.22367/jem.2025.47.15
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE.
Hossain, M., Rahman, M., & Akter, S. (2025). The influence of celebrity credibility on purchase intention. Journal of Consumer Behaviour, 24(1), 23–41.
Ki, C.-W. C., Cuevas, L. M., Chong, S. M., & Lim, H. (2020). Influencer marketing. Journal of Retailing and Consumer Services, 55, 102133. https://doi.org/10.1016/j.jretconser.2020.102133
Kemeç, U., & Yüksel, H. F. (2021). Influencer credibility and purchase intention. Tüketici ve Tüketim Araştırmaları Dergisi, 13(1), 159–193.
Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson.
Moradi, M., & Zihagh, F. (2022). A meta-analysis of the elaboration likelihood model. International Journal of Consumer Studies, 46(5), 1900–1918. https://doi.org/10.1111/ijcs.12814
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., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 19, pp. 123–205). Academic Press.
Rahayu, N. M. P., & Widagda, I. G. N. A. (2025). Peran green trust memediasi green e-WOM. ResearchGate.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2024). Partial least squares structural equation modeling. Journal of Family Business Strategy, 15(1), 100511. https://doi.org/10.1016/j.jfbs.2023.100511
Thomson, M., MacInnis, D. J., & Park, C. W. (2005). The ties that bind. Journal of Consumer Psychology, 15(1), 77–91. https://doi.org/10.1207/s15327663jcp1501_10
Wahab, A., Hamzah, Z., & Idris, R. (2024). Social media stars. Journal of Consumer Behaviour, 23(2), 210–223.
Zhang, L., Tang, Y., & Huang, J. (2023). Examining the influence of information overload. Journal of Interactive Advertising, 23(1), 17–33.
Zhong, D., Wang, Y., Wang, L., Sun, Q., & Wang, M. (2025). Information overload in digital tourism marketing. Information Development. https://doi.org/10.1177/02666669251334136
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