skip to main content

Assessing User Experience in Indonesian Fashion Mobile Applications Using a Usability Testing Approach

*Maryani - Maryani orcid scopus publons  -  Information System Department, Bina Nusantara University, Indonesia
Open Access Copyright (c) 2026 Jurnal Sistem Informasi Bisnis

Citation Format:
Abstract
The rapid growth of mobile applications in the fashion industry has transformed how consumers interact with brands, browse products, and make purchasing decisions. While previous studies have examined consumer attitudes and behaviors toward fashion mobile applications, limited attention has been given to measuring and quantifying the overall user experience (UX), particularly in emerging markets such as Indonesia. This study aims to address this research gap by assessing the user experience of fashion mobile applications through a questionnaire-based usability evaluation. The research employs design principles and user interface (UI) elements as analytical frameworks to evaluate how effectively fashion mobile app designs influence engagement, ease of navigation, and purchase intention among Indonesian users. Data was collected from a sample of active fashion app users and analyzed to identify key usability factors that contribute to positive or negative user experiences. The findings reveal that interface aesthetics, interaction simplicity, and personalized recommendations have a significant impact on user satisfaction and in-app purchasing behavior. The results underscore the importance of user-centered design in developing fashion mobile applications tailored to the expectations and digital habits of Indonesian consumers. This study contributes to the growing body of literature on UX evaluation in mobile commerce by providing insights into how design-driven usability influences user engagement and business outcomes in the fashion retail context
Fulltext Email colleagues
Keywords: User Experience; fashion Mobile App; User.

Article Metrics:

  1. A. L. P., -, M. H., Prasanna, Mrs. S. G., & Yadav, D. (2023). A study on artificial intelligence in marketing. International Journal For Multidisciplinary Research, 5(3)
  2. 7. Lynn, N. D., Islam, A., & Budiyanto, D. (2020). Increasing user satisfaction of mobile commerce using usability. International Journal of Advanced Computer Science and Applications, 11(8), 1–8
  3. Almaqtari, F. A., Farhan, N. H. S., Al‐Hattami, H. M., Elsheikh, T., & Al-Dalaien, B. O. A. (2024). The impact of artificial intelligence on information audit usage: Evidence from developing countries. Journal of Open Innovation Technology Market and Complexity, 10(2), 100298. Springer Science+Business Media
  4. Bobadilla, J., Alonso, S., & Hernando, A. (2020). Deep learning architecture for collaborative filtering recommender systems. Applied Sciences, 10(7), 2441. Multidisciplinary Digital Publishing Institute
  5. Cheung, C. M., Lee, M. K., & Rabjohn, N. (2020). The impact of electronic word-of-mouth communication: A literature analysis and integration. Decision Support Systems, 44(1), 63-75
  6. Deldjoo, Y., Nazary, F., Ramisa, A., McAuley, J., Pellegrini, G., Bellogín, A., & Noia, T. D. (2022). A review of modern fashion recommender systems. arXiv (Cornell University)
  7. Dibak, M., Власов, В. И., Karessli, N., Dedik, D., Malykh, E., Wasilewski, J., Torres, T., & Ramallo, A. P. (2023). UNICON: A unified framework for behavior-based consumer segmentation in e-commerce. arXiv (Cornell University)
  8. Ding, Y., Lai, Z., Mok, P. Y., & Chua, T. (2023). Computational technologies for fashion recommendation: A survey. arXiv (CornellUniversity)
  9. El-Seoud, S. A., & Taj-Eddin, I. (2019). An Android augmented reality application for retail fashion shopping. International Journal of Interactive Mobile Technologies (iJIM), 13(1), 4. Kassel University Press
  10. Goić, M., Rojas, A., & Saavedra, I. (2021). The effectiveness of triggered email marketing in addressing browse abandonments. Journal of Interactive Marketing, 55(1), 118. SAGE Publishing
  11. Hinderks, A., Mayo, F. J. D., Thomaschewski, J., & Escalona, M. J. (2022). Approaches to manage the user experience process in agile software development: A systematic literature review. Information and Software Technology, 150, 106957. Elsevier BV
  12. Immersive experiences in retail: Driving sales via engagement. (2023)
  13. Juliana, J., Limayurid, A. S., Adirestuty, F., Ridlwan, A. A., Rusmita, S. A., & Ismail, S. (2024). Intention to buy halal food through the ShopeeFood application on Generation Z Muslims. Journal of Islamic Accounting and Business Research. Emerald Publishing Limited
  14. Kim, J., & Ha, J. (2021). User experience in VR fashion product shopping: Focusing on tangible interactions. Applied Sciences, 11(13), 6170. Multidisciplinary Digital Publishing Institute
  15. Ko, W. L., Kim, S. Y., Lee, J. H., & Song, T. H. (2020). The Effects Of Strategic Alliance Emphasis And Marketing Efficiency On Firm Value Under different Technological environments. Journal Of Business Research, 120, 53–461. Https://Doi.Org/10.1016/J.Jbusres.2020.02.019
  16. Kim, Y. (2021). Revitalization of offline fashion stores: Exploring strategies to improve the smart retailing experience by applying mobile technology. Sustainability, 13(6), 3434. Multidisciplinary Digital Publishing Institute
  17. Lau, O., & Key, C. (2021). Can consumers' gamified, personalized, and engaging experiences with VR fashion apps increase in-app purchase intention by fulfilling needs? Fashion and Textiles, 8(1). Springer Nature
  18. Lee, J. H., & Kwon, H. (2020). Fashion retail apps: Evaluating usability and functionality for increased user satisfaction. International Journal of Mobile Communications, 18(2), 144-160
  19. Li, X., Su, X., & Wang, Y. (2020). Experiential branded app engagement and brand loyalty: An empirical study in the context of a festival. Journal of Psychology in Africa, 30(5), 417. Taylor & Francis
  20. Lubis, M., Sutoyo, E., Azuddin, M., & Handayani, D. (2019). User experience in mobile application design: Utility-defined context of use. Journal of Physics Conference Series, 1361(1), 12043. IOP Publishing
  21. Ma, N., Kim, J., & Lee, J. H. (2022). Exploring personalized fashion design process using an emotional data visualization method. Fashion and Textiles, 9(1). Springer Nature
  22. Mustofa, R. H., Prestianawati, S. A., Sari, D. E., Riyanti, H., & Setiawan, A. (2024). Celebrity endorsements and promotions: Enhancing young Muslim online shoppers' satisfaction. Human Behavior and Emerging Technologies, 2024(1). Wiley
  23. Nugraha, I., & Fatwanto, A. (2021). User experience design practices in industry: Case study from Indonesian information technology companies. Elinvo (Electronics Informatics and Vocational Education), 6(1), 49. Yogyakarta State University
  24. Pereira, P. M., Ferreira, D. A., & Nascimento, A. F. (2021). Usability and user experience in fashion apps: A case study in mobile commerce. Journal of Retailing and Consumer Services, 58, 102313
  25. Personalization and recommendation systems in mobile fashion apps: Impacts on user engagement and purchase intentions. Journal of Interactive Marketing, 49, 27–38
  26. Pratama, M. A. T., & Cahyadi, A. T. (2020). Effect of user interface and user experience onapplication sales. IOP Conference Series Materials Science and Engineering, 879(1), 12133. IOP Publishing
  27. Rieger, C., Lucrédio, D., Fortes, R. P. de M., Kuchen, H., Dias, F. S., & Duarte, L. M. C. (2020). A model-driven approach to cross- platform development of accessible business apps
  28. Sudirman, S., Lase, D., Syafriyandi, S., & Gobal, R. (2024). Development of event management system in professional organization of Indonesian professional assessors association (IASPRO) using user-centered design method. KnE Engineering
  29. Suzianti, A., & Belahakki, A. (2020). Redesigning user interface of MRT Jakarta's mobile application using usability testing approach
  30. Teangsompong, T., & Sawangproh, W. (2024). Understanding online purchase intention of plant- based foods: Exploring causal factors and moderating role of self-efficacy within the SOR theory. Heliyon, 10(10)
  31. Tian, Y., Zhou, K., & Pelleg, D. (2021). What and how long: Prediction of mobile app engagement. ACM Transactions on Office Information Systems, 40(1), 1. Association for Computing Machinery
  32. Zhou, H., Lan, T., & Venkataramani, G. (2021). PT-VTON: An image-based virtual try-on network with progressive pose attention transfer. arXiv (Cornell University)
  33. Ziccardi, G. (2020). Wearable technologies and smart clothes in the fashion business: Some issues concerning cybersecurity and data protection. Laws, 9(2), 12. Multidisciplinary Digital Publishing Institute

Last update:

No citation recorded.

Last update: 2026-07-15 08:21:51

No citation recorded.