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THE INFLUENCE OF SOCIAL MEDIA PROMOTION AND BRAND IMAGE ON THE PURCHASE DECISION OF SCARLETT WHITENING BODY LOTION PRODUCTS ON TIKTOK Chairunnisa, Tsabita Dzikra; Scorita, Kurnia Budhy; Faisal, Bintang Akbar
Kinerja Vol 8 No 02 (2025): KINERJA : Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Ekonomi dan Bisnis Universitas Islam As-Syafi'iyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34005/kinerja.v8i02.5022

Abstract

This study aims to analyze the influence of Social Media Promotion and Brand Image on Purchase Decisions among Scarlett Whitening Body Lotion customers on TikTok. The method used is a quantitative approach with multiple linear regression analysis and classical assumption tests. The population in the study is customers of Scarlett Whitening Body Lotion on TikTok. This research uses a questionnaire as a data collection tool with a sample size of 150 respondents, and it employs the SPSS 25 program for data processing. The test results show that the data meet the classical assumptions and the regression model is significant. Social Media Promotion (β = 0.434) and Brand Image (β = 0.513) have a positive and significant effect on Repurchase Intention (Sig. < 0.05). The R² value of 0.764 indicates that the two variables explain 76.4% of the variation in Repurchase Intention, and the remaining 31.6% is influenced by other factors outside the model. The F-test also shows a significant simultaneous effect (F = 238.378; Sig. = 0.000). Thus, it can be concluded that Social Media Promotion and Brand Image, both partially and simultaneously, have a significant effect on Purchase Decisions among Scarlett Whitening Body Lotion customers on TikTok. This model can be used as a basis for decision-making in digital marketing strategies on social media platforms.
Assessing Consumer Perception in Muslim-made Cosmetics: A Relationship Quality Perspective Scorita, Kurnia Budhy; Handaru, Agung Wahyu; Wibowo, Setyo Ferry
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1016

Abstract

This study investigates the drivers of repurchase intention in the Muslim-made cosmetics market by examining the mediating roles of trust and satisfaction within a relationship quality framework. Grounded in Relationship Quality Theory and the Stereotype Content Model, the research integrates perceived product quality, brand image, and perceived AI warmth as key antecedents influencing consumer loyalty. A comparative analysis of two structural models (Model 1 and Model 2) is conducted to explore the directionality of the mutually reinforcing relationship between trust and satisfaction. Data were collected via structured online surveys from 439 Muslim consumers in Jakarta, Indonesia, and analyzed using PLS-SEM. Findings reveal that perceived AI warmth is the strongest predictor of both trust (t=7.587, p0.001) and satisfaction (t=8.874, p0.001). In Model 1, trust significantly precedes satisfaction (t=4.869, p0.001); conversely, in Model 2, satisfaction reciprocally enhances trust (t=5.280, p0.001), supporting a dynamic, co-evolutionary process. Perceived product quality significantly impacts trust (t=3.780, p0.001) but only affects satisfaction when satisfaction is modeled as an antecedent to trust (Model 2: t=1.984, p=0.048). Brand image exerts a strong effect on satisfaction (Model 1: t=4.235, p0.001; Model 2: t=4.855, p0.001) but loses its direct path to trust in Model 2. Both trust and satisfaction have significant direct effects on repurchase intention (Model 1, Trust t=4.577, p0.001, Satisfaction t=8.538, p0.001; Model 2, Trust: t=4.630, p0.001; Satisfaction t=8.130, p0.001). The study validates the dual mediating roles of trust and satisfaction in translating perceptions of product quality, brand symbolism, and AI-induced warmth into behavioral loyalty. Theoretically, it advances a reciprocal, experience-driven model of relationship quality, extending prior discussions of reciprocity beyond traditional unidirectional frameworks. Practically, it offers actionable insights for marketers seeking to leverage AI personalization and identity-based branding to cultivate long-term loyalty in culturally sensitive, value-driven markets.