Can Virtual Influencers Be Trusted Like Humans? A Social-Psychological Study in Indonesia

Authors

  • Agung Stefanus Kembau Universitas Bunda Mulia
  • Christian Haposan Pangaribuan Universitas Bunda Mulia
  • Devi Yurisca Bernanda Universitas Bunda Mulia
  • Fidelia Novena Doa Universitas Bunda Mulia

DOI:

https://doi.org/10.25077/jip.9.2.149-171.2025

Keywords:

utilitarian collectivism, AIDUA model, anthropomorphism, virtual influencers, social influence, hedonic motivation

Abstract

. In Indonesia’s collectivistic yet mobile first marketplace, virtual influencers have evolved from eye catching avatars into algorithmic peers whose persuasive power rests on a blend of social conformity and personal enjoyment. Leveraging the Artificial Intelligence Device Use Acceptance (AIDUA) model, this study isolates primary (cognitive) and secondary (affective) appraisals to explain why users embrace—or recoil from—synthetic personae. A cross sectional online survey of 286 Indonesian social media users (aged18 35) tested a structural model linking social influence and hedonic motivation to performance expectancy, anthropomorphism to effort expectancy, and both cognitions to discrete positive and negative emotions. Variance based SEM (SmartPLS4) produced robust psychometrics and significant pathways: social influence (β=.34) and hedonic motivation (β=.46) jointly explained 45% of performance expectancy, while anthropomorphism sharply reduced perceived effort (β=.61; R²=.38). Performance expectancy amplified positive emotion (β=.48) and effort expectancy mitigated negative emotion (β=−.41), with the model accounting for 42% of positive and 29% of negative affect. These results uncover “utilitarian collectivism”—a dual cognitive–affective engine wherein peer validation and hedonic thrill sustain utilitarian value—and position anthropomorphism as a usability heuristic rather than a mere novelty cue.

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References

Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. https://doi.org/10.2307/3150783

Azzahra, J., & Christin, M. (2024). The hyperreality of virtual influencer Lentari Pagi on Instagram. International Journal Software Engineering and Computer Science, 4(1), 165–174. https://ijsecs.ubm.ac.id/index.php/ijsecs/article/view/214 (no DOI)

Belanche, D., Casaló, L. V., & Flavián, M. (2024). Human versus virtual influences: A comparative study. Journal of Business Research, 173, 114493. https://doi.org/10.1016/j.jbusres.2023.114493

Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022). Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms. Information Processing & Management, 59(3), 102940. https://doi.org/10.1016/j.ipm.2021.102940

Chi, N. T. K., & Hoang Vu, N. (2023). Investigating the customer trust in artificial intelligence: The role of anthropomorphism, empathy response, and interaction. CAAI Transactions on Intelligence Technology, 8(1),260–273. https://doi.org/10.1049/cit2.12085

Christanti, C., & Kembau, A. S. (2024). Pengaruh Strategi Pemasaran Konten Dan Afiliasi Terhadap Pembelian Impulsif: Peran Mediasi Pemasaran Viral Dan Kepercayaan. Modus, 36(2), 198-223. https://doi.org/10.24002/modus.v36i2.8787

Chi, O. H., Jia, S., Li, Y., & Gursoy, D. (2021). Developing a formative scale to measure consumers’ trust toward interaction with artificially intelligent (AI) social robots in service delivery. Computers in Human Behavior, 118, 106700. https://doi.org/10.1016/j.chb.2020.106700

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.

Dabiran, E., Farivar, S., Wang, F., & Grant, G. (2024). Virtually human: Anthropomorphism in virtual influencer marketing. Journal of Retailing and Consumer Services, 79, 103797. https://doi.org/10.1016/j.jretconser.2024.103797

Davlembayeva, D., Chari, S., & Papagiannidis, S. (2025). Virtual influencers in consumer behaviour: A social influence theory perspective. British Journal of Management, 36(1), 202–222. https://doi.org/10.1111/1467-8551.12775

Firellsya, G., Kembau, A. S., Bernanda, D. Y., & Christin, L. (2024). Tren belanja online wanita Gen-Z: Eksplorasi faktor-faktor di balik dominasi wanita Gen-Z pada platform Shopee menggunakan model UTAUT2. Jurnal Informatika Ekonomi Bisnis, 184–196.https://journal.ubm.ac.id/index.php/JIEB/article/view/3286

Fauzi, A. A., & Sheng, M. L. (2021). Ride-hailing apps' continuance intention among different consumer groups in Indonesia: the role of personal innovativeness and perceived utilitarian and hedonic value. Asia Pacific Journal of Marketing and Logistics, 33(5), 1195-1219.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Garson, G. D. (2016). Partial least squares: Regression and structural equation models. Statistical Associates Publishing.

Geisser, S. (1975). The predictive sample reuse method with applications. Journal of the American Statistical Association, 70(350), 320–328. https://doi.org/10.1080/01621459.1975.10479865

Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumer’s acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169. https://doi.org/10.1016/j.ijinfomgt.2019.03.008

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hamby, A., & Jones, N. (2022). The effect of affect: An appraisal theory perspective on emotional engagement in narrative persuasion. Journal of Advertising, 51(1), 116-131.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Huwaida, L. A., Yusuf, A., Satria, A. N., Darmawan, M. A., Ammar, M. F., Yanuar, M. W., ... & Yaiprasert, C. (2024). Generation Z and Indonesian Social Commerce: Unraveling key drivers of their shopping decisions. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100256.

Jhawar, A., Kumar, P., & Varshney, S. (2023). The emergence of virtual influencers: A shift in the influencer marketing paradigm. Young Consumers, 24(4), 468–484. https://doi.org/10.1108/YC-05-2022-1401

Kembau, A. S., Kolondam, A., & Mandey, N. H. J. (2024). Virtual influencers and digital engagement: Key insights from Indonesia’s younger consumers. Jurnal Manajemen Pemasaran, 18(2), 123–136. https://doi.org/10.9744/pemasaran.18.2.123-136

Kembau, A. S., & Lendo, F. B. (2025, May). Augmented Reality in Fashion and Beauty Product Marketing: A Preliminary Study of Immersive Marketing In Indonesian E-Commerce. In 12th Gadjah Mada International Conference on Economics and Business (GAMAICEB 2024) (pp. 379-395). Atlantis Press. 10.2991/978-94-6463-692-5_20

Kim, E., Shoenberger, H., Kim, D., Thorson, E., & Zihang, E. (2025). Novelty vs. trust in virtual influencers: exploring the effectiveness of human-like virtual influencers and anime-like virtual influencers. International Journal of Advertising, 44(3), 453-483.

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101

Laszkiewicz, A., & Kalinska-Kula, M. (2023). Virtual influencers as an emerging marketing theory: A systematic literature review. International Journal of Consumer Studies, 47(6), 2479–2494. https://doi.org/10.1111/ijcs.13044

Longoni, C., & Cian, L. (2022). Artificial intelligence in utilitarian vs. hedonic contexts: The “word-of-machine” effect. Journal of Marketing, 86(1), 91–108. https://doi.org/10.1177/0022242921997084

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Published

2026-02-25

How to Cite

Kembau, A. S., Pangaribuan, C. H., Bernanda, D. Y., & Doa, F. N. (2026). Can Virtual Influencers Be Trusted Like Humans? A Social-Psychological Study in Indonesia. Jurnal Ilmu Perilaku, 9(2), 149–171. https://doi.org/10.25077/jip.9.2.149-171.2025