Analysis of User Acceptance of Bus Ticket Application Using a Modified UTAUT Model (Case Study: RedBus Application)
Abstract
The advancement of digital technology has driven the adoption of mobile-based transportation applications, such as RedBus—an online bus ticket booking platform. Despite experiencing significant growth, RedBus faces challenges in user acceptance, marked by a decline in positive reviews and an increase in user complaints during 2023–2024. Therefore, it is crucial to understand the factors that influence user acceptance and their decision to continue using the application. This study analyzes these factors using a modified UTAUT model by incorporating external variables such as Habit, Perceived Cost, Customer Satisfaction, and Repurchase Intention. A quantitative analysis was conducted using the PLS-SEM method with SmartPLS 3.0 software, involving 413 respondents selected through purposive sampling. The results show that nine hypotheses were accepted while four were rejected. The variables Performance Expectancy and Facilitating Conditions significantly influenced Trust, whereas Effort Expectancy and Social Influence did not. Performance Expectancy, Effort Expectancy, and Facilitating Conditions had a significant impact on Purchase Decision, while Social Influence did not. Trust was found to mediate the relationship between several variables and Purchase Decision, which in turn affected Customer Satisfaction. Perceived Cost and Customer Satisfaction influenced Repurchase Intention, while Habit had no significant effect. These findings highlight the importance of improving service quality, ease of access, and user trust to maintain customer loyalty toward the RedBus application.
Downloads
References
Simon Ke$mp, “Digital 2024: Indone$sia,” DataRe$portal. [Online$]. Available$: https://datare$portal.com/re$ports/digital-2024-indone$sia
D. R. Indah, A. P. Putra, and M. A. Firdaus, “Analysis of Use$r Acce$ptance$ Using UTAUT2 Mode$l in KAI Acce$ss Application,” J. Te$knol. Inf. dan Pe$ndidik., vol. 15, no. 2, pp. 85–95, 2023, doi: 10.24036/jtip.v15i2.553.
N. Anggraini, A., & Windasari, “Analysis of Custome$r ’ s Continuous Use$ of Maritime$ Transportation Mobile$ Ticke$ting Application,” J. Te$knol. Dan Sist. Inf. Bisnis, vol. 6, no. 4, pp. 629–638, 2024.
A. Mukti Khamid, A. Le$liana, and A. Rade$n Roro Siti Kuswati, “E$valuasi Ticke$ting MRT Jakarta Mobile$ Apss de$ngan Me$nggunakan Mode$l De$Lone$ dan McLe$an,” Cantile$ve$r J. Pe$ne$lit. dan Kaji. Bid. Te$k. Sipil, vol. 13, no. 1, pp. 65–72, 2024, doi: 10.35139/cantile$ve$r.v13i1.256.
E$rwin Prima, “Me$nge$nal re$dBus, Aplikasi Pe$san Tike$t Bus dan Shuttle$ Online$,” te$mpo.co. [Online$]. Available$: https://www.te$mpo.co/digital/me$nge$nal-re$dbus-aplikasi-pe$san-tike$t-bus-dan-shuttle$-online$-792086
V. Ve$nkate$sh, M. G. Morris, G. B. Davis, and F. D. Davis, “Use$r Acce$ptance$ of Information: Toward a Unifie$d Vie$w,” MIS Q., vol. 27, no. 3, pp. 425–478, 2003, [Online$]. Available$: https://www.jstor.org/stable$/30036540
R. D. Octaviani, Suche$rly, H. Prabowo, and D. Sari, “De$te$rminants of Indone$sian Ge$n Z’s purchase$ be$havior on online$ trave$l platforms: E$xte$nding UTAUT mode$l,” Innov. Mark., vol. 19, no. 4, pp. 54–65, 2023, doi: 10.21511/im.19(4).2023.05.
S. R. Min and S. M. Le$e$, “A study on the$ be$havior of the$ use$r according to the$ distribution de$ve$lopme$nt of online$ trave$l age$ncy,” J. Distrib. Sci., vol. 18, no. 6, pp. 25–35, 2020, doi: 10.15722/jds.18.6.202006.25.
S. Sharma, G. Singh, S. Pratt, and J. Narayan, “E$xploring consume$r be$havior to purchase$ trave$l online$ in Fiji and Solomon Islands? An e$xte$nsion of the$ UTAUT frame$work,” Int. J. Cult. Tour. Hosp. Re$s., vol. 15, no. 2, pp. 227–247, 2020, doi: 10.1108/IJCTHR-03-2020-0064.
Fe$rary. A., S., Pratama. A., Safitri. M., E$., “E$valuasi Adopsi Te$knologi Me$nggunakan Unifie$d The$ory of Acce$ptance$ and Use$ of Te$chnology Mode$l (Studi Kasus: Loke$t.com),” J. Ilm. Sain dan Te$knol., vol. 1, pp. 105–152, 2024.
L. Cai, K. F. Yue$n, and X. Wang, “E$xplore$ public acce$ptance$ of autonomous buse$s: An inte$grate$d mode$l of UTAUT, TTF and trust,” Trave$l Be$hav. Soc., vol. 31, no. Octobe$r 2022, pp. 120–130, 2023, doi: 10.1016/j.tbs.2022.11.010.
A. Urue$ña-Lópe$z, F. Pascual-Migue$l, and S. Igle$sias-Pradas, “Value$, quality, purchasing habits and re$purchase$ inte$ntion in B2C: Diffe$re$nce$s be$twe$e$n fre$que$nt and occasional purchase$r,” Dir. y Organ., vol. 47, pp. 70–80, 2012.
A.-Z. Kobat, A. R. Lubis, and S. Chan, “The$ role$ of pe$rce$ive$d value$ and we$bsite$ quality as de$te$rminants of online$ re$pe$at purchase$ inte$ntions mode$rate$d by habit: The$ case$ of buying Muslim clothing in a shope$e$ marke$t place$,” Int. J. Multidiscip. Re$s. Growth E$val., pp. 143–148, 2022.
Z. Zhang and C. Nuangjamnong, “The$ Impact Factors toward Online$ Re$purchase$ Inte$ntion: A case$ study of Taobao e$-Comme$rce$ platform in China,” Int. Re$s. E$-Journal Bus. E$con., vol. 7, no. 2, pp. 35–56, 2022.
M. E$fte$khari, M. Shaabani, and F. Lotfizade$h, “The$ E$ffe$ct of Pe$rce$ive$d Quality, Pe$rce$ive$d Cost and Re$purchase$ Inte$ntion in the$ Insurance$ Industry,” Int. J. Manag. Sci. Bus. Re$s., no. 11, pp. 1–10, 2015.
N. Hartanto, L. Mani, M. Jati, R. Jose$phine$, and Z. Hidayat, “Factors Affe$cting Online$ Purchase$ De$cision, Custome$r Satisfaction, and Brand Loyalty: An E$mpirical Study from Indone$sia’s Bigge$st E$-Comme$rce$,” J. Distrib. Sci., vol. 20, no. 11, pp. 33–45, 2022, doi: 10.15722/jds.20.11.202211.33.
R. Maulana, I. Akbar, I. B. Suryaningsih, and A. B. Susanto, “The$ Importance$ of Purchasing De$cisions in E$-Marke$ting Re$lationships and Online$ Store$ Custome$r Satisfaction,” J. Manag. Re$s., vol. 12, no. 2, pp. 208–227, 2023.
I. Djan and S. Rubbiah Adawiyyah, “The$ E$ffe$ct of Conve$nie$nce$ and Trust to Purchase$ De$cision and Its Impact to Custome$r Satisfaction,” Int. J. Bus. E$con. Re$s., vol. 9, no. 4, p. 269, 2020, doi: 10.11648/j.ijbe$r.20200904.23.
A. K. K. R. Jayathilaka, “Re$lationship be$twe$e$n Online$ Re$purchase$ Inte$ntion and E$-Satisfaction: Quantitative$ Re$se$arch Study Base$d on Young Pe$ople$ in We$ste$rn Province$ in Sri Lanka,” OALib, vol. 07, no. 12, pp. 1–10, 2020, doi: 10.4236/oalib.1107007.
L. Z. Abdullah, N. Apriliyanto, and S. Junianingrum, “De$te$rminants of re$purchase$ inte$ntion in the$ Indone$sian e$-comme$rce$ platforms,” J. E$nte$rp. De$v., vol. 5, no. Spe$cial Issue$ 2, pp. 402–416, 2023.
A. B. Pange$stu and A. Se$tiyaningrum, “Faktor-faktor pe$ne$ntu re$purchase$ inte$ntion pada produk shopping di e$-comme$rce$,” J. Manaj. Maranatha, vol. 23, no. 1, pp. 79–98, 2023, doi: 10.28932/jmm.v23i1.7701
Sugiyono, Me$tode$ pe$ne$litian kuantitatif kualitatif dan R&D. 2013.
S. Swarbrooke$, J. & Horne$r, Consume$r Be$haviour in tourism - Se$cond E$dition, vol. 3, no. 1. 2007.
U. Brawijaya, M. Fe$briani, A. Rachmadi, and A. D. He$rlambang, “Pe$ngaruh Golongan Usia Pe$ngguna dari Layanan Ride$-Hailing te$rhadap Faktor-Faktor Pe$nggunaan Te$knologi be$rdasarkan Unifie$d The$ory of Acce$ptance$ and Use$ of Te$chnology,” vol. 1, no. 1, pp. 2548–964, 2021.
M. Sarste$dt, C. M. Ringle$, and J. F. Hair, Partial Le$ast Square$s Structural E$quation Mode$ling, no. July. 2021. doi: 10.1007/978-3-319-57413-4_15.
Copyright (c) 2025 Bella Trinanda Sanni, Anita Wulansari, Rafika Rahmawati

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium. Users are allowed to read, download, copy, distribute, search, or link to full-text articles in this journal without asking by giving appropriate credit, provide a link to the license, and indicate if changes were made. All of the remix, transform, or build upon the material must distribute the contributions under the same license as the original.












