A COMPARATIVE STUDY OF CONSUMER TRUST IN PRODUCTS ENDORSED BY AI INFLUENCERS VERSUS HUMAN INFLUENCERS ON SOCIAL MEDIA
Keywords:
Comparative, AI Influencers, Human Influencers, Social Media, Consumer TrustAbstract
This study investigates the impact of multiple marketing strategies—Content Quality, Special Holiday Promotions, Influencer Marketing Type (AI vs. Human), Viral Marketing Potential, and Livestreaming Engagement—on consumer purchase intention within social media platforms, focusing on the Gen Z market in Indonesia. Given the growing influence of digital marketing and the increasing presence of AI-generated personas, this research addresses the gap in understanding how different influencer types and engagement strategies affect consumer behavior in a rapidly evolving digital marketplace. A quantitative correlational approach was employed, with data collected from a sample of 424 Gen Z respondents using a structured questionnaire featuring 5-point Likert scale items. Data were analyzed using SPSS version 26, involving validity testing (Pearson correlation r > 0.195), reliability testing (Cronbach’s Alpha > 0.70), and classical assumption tests including normality, heteroscedasticity, and multicollinearity diagnostics. Multiple regression analysis revealed that Content Quality had the strongest positive effect on purchase intention (β = 0.34, t = 6.82, p < 0.001), followed by Viral Marketing Potential (β = 0.22, t = 5.50, p < 0.001), Livestreaming Engagement (β = 0.19, t = 3.18, p = 0.001), and Special Holiday Promotions (β = 0.16, t = 3.21, p = 0.002). Influencer Marketing Type showed a significant moderating effect (β = -0.18, t = -3.01, p = 0.001), indicating human influencers generally foster greater trust than AI counterparts. The overall model was statistically significant (F = 37.82 > F-table = 2.23, p < 0.001), explaining 31.4% of the variance in purchase intention. The findings contribute theoretically to social commerce by extending the understanding of trust dynamics in AI-human influencer contexts, offer practical insights for marketers seeking effective influencer deployment strategies, and establish a foundation for future research into long-term consumer responses to AI-driven endorsements.Comparative
References
Arma, O. (2022). THE IMPACT OF VIRTUAL ANCHOR PERCEIVED WARMTH AND COMPETENCE ON CONSUMER PURCHASE INTENTION IN DIGITAL MARKETING. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Ingriana, A., Prajitno, G. G., & Rolando, B. (2024). THE UTILIZATION OF AI AND BIG DATA TECHNOLOGY FOR OPTIMIZING DIGITAL MARKETING STRATEGIES. International Journal of Economics And Business Studies, 1(1), 21–42. https://doi.org/10.1234/IJEBS.V1I1.1
Maha, V. A., Hartono, S. D., Prajitno, G. G., & Hartanti, R. (2025). E-COMMERCE LOKAL VS GLOBAL: ANALISIS MODEL BISNIS DAN PREFERENSI KONSUMEN. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 21–44. https://doi.org/10.1234/JUMDER.V1I1.9
Mardhiyah, A. S. (2022). TECHNOLOGY’S ROLE IN RESHAPING THE E-COMMERCE LANDSCAPE. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Mulyono, H. (2024). Pengaruh Diskon Tanggal Kembar Pada E-Commerce Terhadap Keputusan Pembelian | International Journal of Economics And Business Studies. International Journal of Economics And Business Studies (IJEBS), 1(1), 1–20. https://journal.dinamikapublika.id/index.php/IJEBS/article/view/2
Mulyono, H., Hartanti, R., & Rolando, B. (2025). SUARA KONSUMEN DI ERA DIGITAL: BAGAIMANA REVIEW ONLINE MEMBENTUK PERILAKU KONSUMEN DIGITAL. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 1–20. https://doi.org/10.1234/JUMDER.V1I1.10
Putri, L. W. B. (2022). TRACING THE DEVELOPMENT OF MARKETING IN THE AI ERA: A COMPREHENSIVE LITERATURE ANALYSIS. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Rahardja, B. V., Rolando, B., Chondro, J., & Laurensia, M. (2025). MENDORONG PERTUMBUHAN E-COMMERCE: PENGARUH PEMASARAN MEDIA SOSIAL TERHADAP KINERJA PENJUALAN. JUMDER: Jurnal Bisnis Digital Dan Ekonomi Kreatif, 1(1), 45–61. https://doi.org/10.1234/JUMDER.V1I1.6
Rolando, B. (2024). CULTURAL ADAPTATION AND AUTOMATED SYSTEMS IN E-COMMERCE COPYWRITING: OPTIMIZING CONVERSION RATES IN THE INDONESIAN MARKET. International Journal of Economics And Business Studies, 1(1), 57–86. https://doi.org/10.1234/IJEBS.V1I1.4
Rolando, B., & Ingriana, A. (2024). SUSTAINABLE BUSINESS MODELS IN THE GREEN ENERGY SECTOR: CREATING GREEN JOBS THROUGH RENEWABLE ENERGY TECHNOLOGY INNOVATION. International Journal of Economics And Business Studies, 1(1), 43–56. https://doi.org/10.1234/IJEBS.V1I1.3
Rolando, B., Ariyanto, K., Alexia, K. R., & Hartanti, R. (2022). PERAN AI DAN BIG DATA DALAM MENGOPTIMALKAN STRATEGI PEMASARAN DIGITAL. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Rolando, B., Chandra, C. K., & Widjaja, A. F. (2025). TECHNOLOGICAL ADVANCEMENTS AS KEY DRIVERS IN THE TRANSFORMATION OF MODERN E-COMMERCE ECOSYSTEMS. 1(2). https://journal.dinamikapublika.id/index.php/Jumder
Rolando, B., Widjaja, A. F., & Chandra, C. K. (2025). UNDERSTANDING FASHION PURCHASING DECISIONS: A SYSTEMATIC REVIEW OF CONSUMER BEHAVIOR IN RETAIL (Vol. 1, Issue 1). https://journal.dinamikapublika.id/index.php/mosaic
Setiawan, B. L. T. (2022). ANALISIS PERAN AUGMENTED REALITY (AR) DALAM PEMASARAN DAN DAMPAKNYA PADA PERILAKU KONSUMEN. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Tan, D. M. (2022). A SYSTEMATIC REVIEW OF THE AI-POWERED MARKETING REVOLUTION: FROM TRADITIONAL TO DATA-DRIVEN APPROACHES. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
Widjaja, A. F. (2025). FACTORS INFLUENCING PURCHASE INTENTION IN E-COMMERCE: AN ANALYSIS OF BRAND IMAGE, PRODUCT QUALITY, AND PRICE. 1(3). https://journal.dinamikapublika.id/index.php/Jumder
Wijaya, A. J. (2022). PERAN DAN IMPLEMENTASI TEKNOLOGI KECERDASAN BUATAN DALAM PENGALAMAN KONSUMEN E-COMMERCE: SEBUAH TINJAUAN SISTEMATIS. Artificial Intelligence Research and Applied Learning, 1(1). https://journal.dinamikapublika.id/index.php/aira
Winata, V. (2022). OPTIMIZING BIG DATA PROCESSING THROUGH ARTIFICIAL INTELLIGENCE: A SYSTEMATIC LITERATURE REVIEW. Artificial Intelligence Research and Applied Learning, 1(2). https://journal.dinamikapublika.id/index.php/aira
