Analysis of Customer’s Continuous Use of Maritime Transportation Mobile Ticketing Application
Abstract
With the rise of smartphones and internet connectivity, travellers have been increasingly seeking quicker and smoother purchasing processes. To address this behaviour, a passenger shipping company, launched their mobile ticketing app in 2018. However, despite closing offline ticketing booths in late 2023, the app adoption remains low. This research investigates factors influencing user adoption and usage of the app, employing a modified UTAUT model. A mixed-method approach utilizes questionnaires, data analysis using SPSS and PLS-SEM, and cluster analysis to identify user segments and pain points. The research analysis finds that only performance expectancy, social influence, voluntariness of use, system quality, and system quality with a moderating variable frequency of app use impact the user’s intention to continue using the app. These results are further clustered into four categories based on the DOI theory. These findings can be used by the company and other maritime transportation companies seeking to leverage mobile technology for improved customer experience and ticketing efficiency.
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References
Omol, Edwin. (2023). Organizational digital transformation: from evolution to future trends. Digital Transformation and Society. 10.1108/DTS-08-2023-0061.
Benamara, Hassiba & Hoffmann, Jan & Youssef, Frida. (2019). Maritime Transport: The Sustainability Imperative: A Cross-Disciplinary View. 10.1007/978-3-030-04330-8_1.
Nurcahyo, Aldian & Fajar, Ahmad & Qomariyah, Nunung. (2020). Online Travel Agent for Tourism System Using Big Data and Cloud. Journal of Environmental Management and Tourism. 11. 42. 10.14505//jemt.11.2(42).18.
BPS-Statistics Indonesia. (2023, October 23). Growth of Transport in Indonesia August 2023. Retrieved on January 20, 2024, from https://www.bps.go.id/en/pressrelease/2023/ 10/02/2043/perkembangan-transportasi-nasional-agustus-2023.html
Balido, A.Z., & Agus Setiono, B. (2023). Analisis Prosedur Pelayanan Penjualan Tiket Kapal Terhadap Kepuasan Penumpang Pada PT. Pelayaran Nasional Indonesia (PELNI) Cabang Surabaya. JURNAL APLIKASI PELAYARAN DAN KEPELABUHANAN.
Maulana, M., S., & Taurusta, C. (2024). Sistem Informasi Layanan Tiketing yang Responsif dan Adaptif Berbasis Online. Jurnal Teknologi Dan Sistem Informasi Bisnis, 6(2), 422-430. https://doi.org/10.47233/jteksis.v6i2.1229
Kusuma, Dennish & Fauzi, Muhammad & Rifdi, Muhamad & Sundjaja, Arta. (2021). The Determinant Factors of User Satisfaction on Ferry E-Ticket Purchase (Ferizy): Integration Of The UTAUT and IS Success Model. 1-7. 10.1109/ICORIS52787.2021.9649590.
Gutiérrez, Héctor & Herrero-Crespo, Ángel. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management - TOURISM MANAGE. 33. 10.1016/j.tourman.2011.04.003.
Indrawati, & Yusliansyah, S. (2017). Adoption factors of online-web railway ticket reservation service (A case from Indonesia). 2017 5th International Conference on Information and Communication Technology (ICoIC7), 1-6.
Prasetio, A., & Nursandi, W. (2022). Analisis Minat Pengguna Layanan Online Travel Agent (OTA) Pada Tiket.com di Indonesia Mengggunakan Model Pendekatan Modifikasi UTAUT 2. Jurnal Manajemen Dan Keuangan, 11(1), 36-54. https://doi.org/10.33059/jmk.v11i2.3432
Jufri, M. (2022). Analisis Faktor-Faktor Yang Mempengaruhi Keinginan Wajib Pajak Dalam Menggunakan E-Filing Di Kota Batam. Jurnal Teknologi Dan Sistem Informasi Bisnis, 4(1), 107-115. https://doi.org/10.47233/jteksis.v4i1.384
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Kurniawan, Johanes. (2020). Pengaruh Efektivitas Implementasi Dan Layanan Digital Pelni Mobile Terhadap Perspektif Pelanggan Selama New Normal Pandemic Covid-19. Jurnal Teknologi Industri dan Rekayasa (JTIR). 1. 34-42. 10.53091/jtir.v1i1.10.
Garone, A., Pynoo, B., Tondeur, J., Cocquyt, C., Vanslambrouck, S., Bruggeman, B., & Struyven, K. (2019). Clustering university teaching staff through UTAUT: Implications for the acceptance of a new learning management system. British Journal of Educational Technology. doi:10.1111/bjet.12867
Churchill, G. A., & Iacobucci, D. (2006). Marketing research: methodological foundations (Vol. 199, No. 1). New York: Dryden Press.
Ali Ashraf et al (2021). A Study on the Service Quality of Launch Terminal Based on Passengers’ Satisfaction at Sadarghat Dhaka. Saudi J Civ Eng, 5(5): 104-115.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
Escobar-Rodríguez, T. & Carvajal-Trujillo, Elena. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management. 43. 70–88. 10.1016/j.tourman.2014.01.017.
Zuiderwijk, A., Janssen, M., & Dwivedi, Y. K. (2015). Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly, 32(4), 429–440. 10.1016/j.giq.2015.09.005
Hanif, Muhammad. (2023). Faktor-Faktor Yang Memengaruhi Penerimaan Sistem Mobile Public Transportation di Jabodetabek. (Thesis, UIN Syarif Hidayatullah Jakarta).
Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 46(3), 159–166. 10.1016/j.im.2008.12.006
Wu, Jen-Her & Wang, Shu-Ching. (2005). What Drives Mobile Commerce?: An Empirical Evaluation of the Revised Technology Acceptance Model. Information & Management. 42. 719-729. 10.1016/j.im.2004.07.001.
Chin, Wynne & Marcoulides, G.. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research. 8.
Kusuma, T. A. H., Sandhyaduhita, P., & Shihab, M. R. (2017). Factors influencing continuance intention of travel agency information system use: A case study of Powersuite. 2017 Second International Conference on Informatics and Computing (ICIC). doi:10.1109/iac.2017.8280644
Tian Z, Shi Z, Cheng Q. (2021). Examining the antecedents and consequences of mobile travel app engagement. PLoS ONE 16(3): e0248460. https://doi.org/10.1371/journal.pone.0248460
Fang, J., Zhao, Z., Wen, C., & Wang, R. (2017). Design and performance attributes driving mobile travel application engagement. International Journal of Information Management, 37(4), 269–283. doi:10.1016/j.ijinfomgt.2017.03.003
Rogers, E. M. (1962). Diffusion of innovations. New York, Free Press of Glencoe.
Garone, Anja & Pynoo, Bram & Tondeur, Jo & Cocquyt, Celine & Vanslambrouck, Silke & Bruggeman, Bram & Struyven, Katrien. (2019). Clustering university teaching staff through UTAUT: Implications for the acceptance of a new learning management system. British Journal of Educational Technology. 50. 10.1111/bjet.12867.
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