Determinants of Online Transportation Adoption: An Extended UTAUT2 Model with Loyalty Program
Main Article Content
Abstract
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
How to Cite
References
Alomari, A. S. A., & Abdullah, N. L. (2023). Factors influencing the behavioral intention to use cryptocurrency among saudi arabian public university students: moderating role of financial literacy. Cogent Business & Management, 10(1). https://doi.org/10.1080/23311975.2023.2178092
An, X., Chai, C. S., Li, Y., Zhou, Y., Shen, X., Zheng, C., & Chen, M. (2023). Modeling english teachers’ behavioral intention to use artificial intelligence in middle schools. Education and Information Technologies, 28(5), 5187–5208. https://doi.org/10.1007/S10639-022-11286-Z/FIGURES/2
Arts, I., Fischer, A., Duckett, D., & van der Wal, R. (2021). Information technology and the optimisation of experience – the role of mobile devices and social media in human-nature interactions. Geoforum, 122, 55–62. https://doi.org/10.1016/J.GEOFORUM.2021.03.009
Ashari, D. S., Irawan, B., & Setianingsih, C. (2021). Sentiment analysis on online transportation services using convolutional neural network method. International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2021-October, 335–340. https://doi.org/10.23919/EECSI53397.2021.9624261
Bu, F., Wang, N., Jiang, B., & Jiang, Q. (2021). Motivating information system engineers’ acceptance of privacy by design in china: an extended utaut model. International Journal of Information Management, 60, 102358. https://doi.org/10.1016/J.IJINFOMGT.2021.102358
Chen, Y., Mandler, T., & Meyer-Waarden, L. (2021). Three decades of research on loyalty programs: a literature review and future research agenda. Journal of Business Research, 124, 179–197. https://doi.org/10.1016/J.JBUSRES.2020.11.057
Chung, S. H. (2021). Applications of smart technologies in logistics and transport: a review. Transportation Research Part E: Logistics and Transportation Review, 153, 102455. https://doi.org/10.1016/J.TRE.2021.102455
Erjavec, J., & Manfreda, A. (2022). Online shopping adoption during covid-19 and social isolation: extending the utaut model with herd behavior. Journal of Retailing and Consumer Services, 65, 102867. https://doi.org/10.1016/J.JRETCONSER.2021.102867
Ginting, T. W., Panjaitan, E. S., & Yunis, R. (2023). Peran variabel keakraban dalam penggunaan e-commerce pada model utaut. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 10(2), 105–116. https://doi.org/10.35957/JATISI.V10I2.3752
Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps?: an analysis based on the utaut-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 48–62. https://doi.org/10.1108/JHTT-02-2017-0013/FULL/XML
Hwang, J., & Choi, L. (2020). Having fun while receiving rewards?: exploration of gamification in loyalty programs for consumer loyalty. Journal of Business Research, 106, 365–376. https://doi.org/10.1016/J.JBUSRES.2019.01.031
Khatimah, H., Susanto, P., & Abdullah, N. L. (2019). Hedonic motivation and social influence on behavioral intention of e-money: the role of payment habit as a mediator.
Osei, H. V., Kwateng, K. O., & Boateng, K. A. (2022). Integration of personality trait, motivation and utaut 2 to understand e-learning adoption in the era of covid-19 pandemic. Education and Information Technologies, 27(8), 10705–10730. https://doi.org/10.1007/S10639-022-11047-Y/TABLES/6
Panjaitan, E. S., & Budiarto, R. (2019). The role of intelligence in e-learning usage: an extension of utaut model. International Journal of Advanced Trends in Computer Science and Engineering, 8(6). https://doi.org/10.30534/ijatcse/2019/79862019
Purwanto, E., & Loisa, J. (2020). The intention and use behaviour of the mobile banking system in indonesia: utaut model.
Rooshenas, L., Paramasivan, S., Jepson, M., & Donovan, J. L. (2019). Intensive triangulation of qualitative research and quantitative data to improve recruitment to randomized trials: the quintet approach., 29(5), 672–679. https://doi.org/10.1177/1049732319828693
Saragih, Y. M., Panjaitan, E. S., & Yunis, R. (2023). Peran interaktivitas dalam penggunaan e-learning: perluasan model utaut. Jurnal Teknologi Informasi Dan Ilmu Komputer, 10(1), 123–130. https://doi.org/10.25126/JTIIK.20231015877
Sinaga, J. N., Panjaitan, E. S., & Nurjanah, S. (2024). Analysis of factors affecting the use of chatgpt at mikroskil university: a study based on the extended utaut2 model. Brilliance: Research of Artificial Intelligence, 4(1), 151–161. https://doi.org/10.47709/BRILLIANCE.V4I1.3862
Siswadi, S., Jumaizi, J., Supriyanto, S., & Dewa, A. L. (2023). Indonesian online transportation (go-jek) customers satisfaction and loyalty: how the role of digital marketing, word of mouth, perceived value and perceived quality? Journal of Law and Sustainable Development, 11(2), e362. https://doi.org/10.55908/sdgs.v11i2.362
Syamsudin, Meiyanti, R., Satria, D., Wahyuni, R., & Sensuse, D. I. (2018). Exploring factors influence behavioral intention to use e-government services using unified theory of acceptance and use of technology 2 (utaut2). 2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018, 237–242. https://doi.org/10.1109/ISRITI.2018.8864474
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412
Yu, C. W., Chao, C. M., Chang, C. F., Chen, R. J., Chen, P. C., & Liu, Y. X. (2021). Exploring behavioral intention to use a mobile health education website: an extension of the utaut 2 model. SAGE Open, 11(4). https://doi.org/10.1177/21582440211055721/ASSET/IMAGES/LARGE/10.1177_21582440211055721-FIG2.JPEG
Zaid Kilani, A. A. H., Kakeesh, D. F., Al-Weshah, G. A., & Al-Debei, M. M. (2023). Consumer post-adoption of e-wallet: an extended utaut2 perspective with trust. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100113. https://doi.org/10.1016/J.JOITMC.2023.100113