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Technology Acceptance and Planned Behavior: How TikTok Impacts Digital Entrepreneurship Intention among University Students in Batam City Cindy Juliandry; Indasari Deu; Eryc
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3606

Abstract

TikTok application is changing the shape of the economy and how young people see it as an opportunity. This study investigates the impact of TikTok application on digital entrepreneurship intentions among university students in Batam City. Leveraging the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB), the research explores how perceived usefulness, perceived ease of use, attitudes, subjective norms, and perceived behavioral control influence students' entrepreneurial aspirations. A quantitative method with purposive sampling was used, targeting 460 respondents. The findings reveal that TikTok's user-friendly features and algorithmic design significantly affect digital entrepreneurship intentions, facilitating accessibility and fostering innovative business practices. The results underscore the importance of integrating digital tools into entrepreneurship, providing practical insights for educators, platform developers, and young people to enhance entrepreneurial engagement in the digital economy. Despite geographical limitations, this study contributes to the theoretical understanding of technology-driven entrepreneurship and highlights areas for future exploration.
Analysis Of The Influence Of Politics, Trust And Instagram Social Media Usage On The Political Habits Of Generation Z In Batam Eryc Eryc; Calvin Calvin; Indasari Deu
Community Engagement and Emergence Journal (CEEJ) Vol. 7 No. 4 (2026): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v7i4.10827

Abstract

The advancement of digital technology has made Instagram one of the media platforms with significant influence in the process of political communication, particularly among Generation Z. As a cohort born and raised in the digital era, Gen Z is highly engaged with political content through visual displays, interactive features, and internet-based social interactions, which indirectly shape their perspectives and political habits. This study aims to examine how political influence on Instagram, levels of trust, and social media usage contribute to the political habits of Generation Z as young voters in the Riau Islands region, particularly in Batam City. The study employs a quantitative method involving 146 respondents aged 18–25 who are active Instagram users. Data analysis was conducted using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) approach with the SmartPLS 4 application.
Analyzing Key Success Factors for Driving Repurchasing Conversion in E-CRM: Customer Insights on Gojek Application in Batam Mellberg Limanda; Eryc; Indasari Deu
J-INTECH ( Journal of Information and Technology) Vol 14 No 01 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i01.2248

Abstract

This study examines the determinants of repurchase intention in Gojek’s digital service environment by integrating the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), with Customer Relationship Management (CRM) serving as the contextual framework. In this study, CRM is not operationalized as an independent variable but provides the contextual setting for understanding user interactions with the platform. Using a sequential mixed-methods design, Qualitative findings reveal that price sensitivity is the most dominant factor influencing repurchase decisions for key drivers of repurchase intention, followed by usability, functional efficiency, and trust. Quantitative analysis via Partial Least Squares Structural Equation Modeling (PLS-SEM) confirmed that Perceived Ease of Use significantly influences Perceived Usefulness, which shapes Attitude, while Attitude and Perceived Behavioral Control strongly predict Repurchase Intention; Subjective Norms exert a weaker effect. By positioning CRM as a contextual environment rather than a measured construct, this study extends the application of the TAM–TPB framework in digital ride-hailing services and provides practical insights for strengthening customer retention strategies.