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Ariyani Alisah
Alfitman Alfitman
Eri Besra


The aim of this research is to examine the reuse intention of  Honda e-Care application with an extended TAM. Reuse intention is a customer's tendency to use a company's services or certain products repeatedly in the future. The population in this study was 311 consumers of the Honda Gajah Motor Bypass, Padang City who had registered and used the Honda e-Care application in 2023. The sample was 175 consumers of the Honda Gajah Motor Bypass, Padang City who had registered and used the Honda e-Care application in 2023. 2023. The analysis method used is descriptive statistical analysis and description analysis using SmartPLS 4.0. The research results show that Habit has a positive and significant effect on the perceived usefulness and perceived ease of use of using the Honda e-Care application. System Quality has a positive and significant effect on the perceived ease of use and the perceived usefulness of using the Honda e-Care application. Perceived ease of use has a positive and significant effect on the perceived usefulness of using the Honda e-Care application. Perceived ease of use and Perceived usefulness has a positive and significant effect on consumers' reuse intention on the Honda e-Care application


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Alisah, A. ., Alfitman, A. and Besra, E. . (2024) “The reuse intention of honda e-care application with an extended TAM”, Jurnal Mantik, 8(1), pp. 404-413. doi: 10.35335/mantik.v8i1.4946.
Agag, G., & El-Masry, A. A. (2016). Understanding the determinants of hotel booking intentions and moderating role of habit. International Journal of Hospitality Management, 54, 52–67.
Aharony, N. (2014). Mobile libraries: Librarians’ and students’ perspectives. College and Research Libraries, 75(2), 202–217.
Al-Jabri, I. M. (2015). The intention to use mobile banking: Further evidence from Saudi Arabia. South African Journal of Business Management, 46(1), 23–34.
Chang, S.-S., Lou, S.-J., Cheng, S.-R., & Lin, C.-L. (2015). Exploration of usage behavioral model construction for university library electronic resources. The Electronic Library, 33(2), 292–307.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003.
Djaali, H. (2021). Psikologi pendidikan (1st ed.). Bumi Aksara.
Ho, J. C., Wu, C. G., Lee, C. S., & Pham, T. T. T. (2020). Factors affecting the behavioral intention to adopt mobile banking: An international comparison. Technology in Society, 63, 1–9.
Hubert, M., Blut, M., Brock, C., Backhaus, C., & Eberhardt, T. (2017). Acceptance of Smartphone?Based Mobile Shopping: Mobile Benefits, Customer Characteristics, Perceived Risks, and the Impact of Application Context. Psychology & Marketing, 34(2), 175–194.
Jeong, H. (2011). An investigation of user perceptions and behavioral intentions towards the e-library. Library Collections, Acquisitions, & Technical Services, 35(2–3), 45–60.
Joo, S., & Choi, N. (2015). Factors affecting undergraduates’ selection of online library resources in academic tasks. Library Hi Tech, 33(2), 272–291.
Khan, A., & Qutab, S. (2016). Understanding research students’ behavioural intention in the adoption of digital libraries. Library Review, 65(4/5), 295–319.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741–755.
Limayem, Hirt, & Cheung. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quarterly, 31(4), 705.
Martinis, Y. (2017). Strategi dan metode dalam model pembelajaran (I. Syaiful (ed.); Cetakan 1). Referensi.
Mawardi, R., Yeni, Y. H., & Pujani, V. (2022). Determinant of Behavioral Intention to Use E-wedding Gifts. Jurnal Manajemen Universitas Bung Hatta, 17(2), 141–156.
Muhibbin, S. (2017). Psikologi Pendidikan; Dengan Pendekatan Baru. PT Remaja Rosdakarya Bandung.
Muñoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinantes de la intención de uso de las aplicaciones de banca para móviles: una extensión del modelo TAM clásico. Spanish Journal of Marketing - ESIC, 21(1), 25–38.
Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM). Computers and Education, 145.
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30.
Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44–65.
Sheikhshoaei, F., & Oloumi, T. (2011). Applying the technology acceptance model to Iranian engineering faculty libraries. The Electronic Library, 29(3), 367–378.
Tsai, W.-C. (2012). A study of consumer behavioral intention to use e-books: the Technology Acceptance Model perspective. Innovative Marketing, 8(4), 55–66.
Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157.
Wallace, L. G., & Sheetz, S. D. (2014). The adoption of software measures: A technology acceptance model (TAM) perspective. Information & Management, 51(2), 249–259.
Wicaksono, S. R. (2022). Teori Dasar Technology Acceptance Model (Issue December 2022).
Widanengsih, E. (2021). Technology Acceptance Model to Measure Customer’S Interest to Use Mobile Banking. Journal of Industrial Engineering & Management Research, 2(1), 73–82.
Xu, Y., Gan, L., & Yan, D. (2010). Study on Influence Factors Model of Technology Acceptance in Digital Library Based on User Cognition and TAM. 2010 International Conference on Management and Service Science, 1–3.
Yoon, H.-Y. (2016). User Acceptance of Mobile Library Applications in Academic Libraries: An Application of the Technology Acceptance Model. The Journal of Academic Librarianship, 42(6), 687–693.
Zha, X., Zhang, J., & Yan, Y. (2015). Comparing digital libraries in the web and mobile contexts from the perspective of the digital divide. Journal of Librarianship and Information Science, 47(4), 330–340.
Zhang, X., Park, Y., & Park, J. (2023). The effect of personal innovativeness on customer journey experience and reuse intention in omni-channel context. Asia Pacific Journal of Marketing and Logistics.
Zhao, Y., Deng, S., & Zhou, R. (2015). Understanding Mobile Library Apps Continuance Usage in China: A Theoretical Framework and Empirical Study. Libri, 65(3).