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All Journal Jurnal Ilmu Komputer dan Desain Komunikasi Visual JSAI (Journal Scientific and Applied Informatics) bit-Tech Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Riset Sistem Informasi
Virdha Rahma Aulia
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Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Other

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Journal : bit-Tech

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Evaluate the Intentions and Behaviors of Live Streaming Feature Users with the UTAUT Model Cahyono, Athallah Rafif; Arista Pratama; Virdha Rahma Aulia
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2632

Abstract

The rapid advancement of digital innovation in Indonesia's e-commerce industry has encouraged the widespread adoption of live streaming features such as Shopee Live, which enable real-time interaction between sellers and buyers. Despite the growing popularity of this feature, limited research has investigated the behavioral factors that drive its sustained use, particularly by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the construct of trust. This study aims to evaluate users’ behavioral intentions and actual usage of Shopee Live by applying the UTAUT model, extended with the trust variable to better capture the dynamics of live streaming-based commerce. A quantitative approach was employed through an online survey distributed to Shopee users with prior experience using the live feature. Using purposive sampling, a total of 215 valid responses were collected, with a response rate of 86%. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that Effort Expectancy, Social Influence, Price Value, Habit, and Trust significantly affect behavioral intention, while Performance Expectancy, Facilitating Conditions, and Hedonic Motivation do not. Furthermore, Habit, Trust, and Behavioral Intention significantly influence actual usage behavior. This study contributes to the e-commerce literature by extending the UTAUT framework with trust in the specific context of live streaming. The findings emphasize the stronger role of trust and social factors over utilitarian and entertainment considerations. E-commerce platforms should focus on strengthening user trust, promoting ease of use, and encouraging habitual usage to increase engagement with live commerce features.
User Satisfaction Analysis of Financial Technology Applications Using the End User Computing Satisfaction Model Ernawati, Ida Ayu; Asif Faroqi; Virdha Rahma Aulia
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2690

Abstract

The rapid evolution of digital technology has significantly transformed many sectors, especially financial services, with the rise of fintech innovations such as Flip. Flip offers interbank transfer services free of administrative fees, simplifying transactions like e-wallet top-ups, bill payments, and international money transfers, attracting a substantial user base. However, despite its popularity, users have raised concerns about transaction delays, slow customer service responses, and design issues, highlighting a gap between user expectations and actual service delivery. This study aims to evaluate user satisfaction with the Flip application using the End User Computing Satisfaction (EUCS) model, which assesses satisfaction across five key dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. Data from 415 respondents were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the factors influencing satisfaction. The findings reveal that user satisfaction with Flip is generally positive, with significant impacts from Content, Format, Ease of Use, and Timeliness. However, Accuracy, while positively related, had no statistically significant effect. These results emphasize the need for improving transaction timeliness and refining content and interface formats to enhance the user experience. The study provides essential insights for Flip developers to enhance service quality and offers a data-driven foundation for future research on fintech applications.
Co-Authors Arista Pratama Asif Faroqi Astri Purwitasari Cahyono, Athallah Rafif Divani Jane Forinda Putri Ernawati, Ida Ayu Iqbal Ramadhani Mukhlis Lano Putra Rajendra Najwa Nadia Rahma Prasasti Karunia Farista Ananto Rafika Rahmawati Rafika Rahmawati Rozan Syaikh Ash S P Sembilu, Nambi Sugata, Tri Luhur Indayanti Thomas Aquino Berno Doduk Tri Luhur Indayanti Sugata Tri Puspa Rinjeni