Main Article Content

Abstract

This research aims to analyze the factors affecting the intention to use digital wallets in Yogyakarta. By employing the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study examines the impact of performance expectancy, effort expectancy, social influence, and perceived risks on consumers’ behavioral intentions. Data were collected from a sample of digital wallet users in Yogyakarta through surveys, and multiple linear regression analysis was used to test the hypotheses. The findings reveal that performance expectancy, effort expectancy, social influence, and perceived risks positively influence the intention to use digital wallets. The results provide valuable insights for digital wallet service providers to enhance user adoption and satisfaction.

Keywords

performance expectancy effort expectancy social influence perceived risk behavioural intention

Article Details

How to Cite
Prawira, S. S., & Ridanasti, E. (2024). An Empirical Analysis of Factors Affecting The Intention of Using Digital Wallet in Yogyakarta. Selekta Manajemen: Jurnal Mahasiswa Bisnis & Manajemen, 2(6), 234–246. Retrieved from https://journal.uii.ac.id/selma/article/view/35629

References

  1. Ali, F., Nair, P.K. and Hussain, K. (2016) “An assessment of students’ acceptance and usage of computer supported collaborative classrooms in hospitality and tourism schools,” Journal of Hospitality, Leisure, Sport & Tourism Education, 18, pp. 51–60. Available at: https://doi.org/10.1016/j.jhlste.2016.03.002.
  2. Bùi, T.T.H. and Bùi, H.T. (2018) “GAMIFICATION IMPACT ON THE ACCEPTANCE OF MOBILE PAYMENT IN HO CHI MINH CITY, VIETNAM,” International Journal of Social Science and Economic Research, 3(9), pp. 4822–4837. Available at: https://ijsser.org/2018files/ijsser_03__334.pdf.
  3. Davis, F.D. (1989) “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, 13(3), pp. 319–340. Available at: https://doi.org/10.2307/249008.
  4. Featherman, M.S. and Pavlou, P.A. (2003) “Predicting e-services adoption: a perceived risk facets perspective,” International Journal of Human-Computer Studies, 59(4), pp. 451–474. Available at: https://doi.org/10.1016/S1071-5819(03)00111-3.
  5. Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
  6. Ghozali, I. (2016) Aplikasi Analisis Multivariete Dengan Program IBM SPSS 23. 8th ed. Semarang: Badan Penerbit Universitas Diponegoro Semarang.
  7. Handayani, T. and Novitasari, A. (2020) “Digital Wallet as a Transaction Media in The Community,” in IOP Conference Series: Materials Science and Engineering, Volume 879, 3rd International Conference on Informatics, Engineering, Science, and Technology (INCITEST 2020) 11 June 2020, Bandung, Indonesia. Bandung: IOP Publishing Ltd, p. 012001. Available at: https://doi.org/10.1088/1757-899X/879/1/012001.
  8. Hau, H.T., Nhung, D.T.H. and Trang, P.H. (2021) “An empirical analysis of factors affecting the intention of using digital wallets in Vietnam,” Journal of International Economics and Management, 21(1), pp. 86–107. Available at: https://www.researchgate.net/publication/350396014_An_empirical_analysis_of_factors_affecting_the_intention_of_using_digital_wallets_in_Vietnam.
  9. Hidayat, A. and Saputra, I.P. (2018) “IMPLEMENTATION VOICE OVER INTERNET PROTOCOL (VOIP) AS A COMMUNICATION MEDIA BETWEEN UNIT AT UNIVERSITY MUHAMMADIYAH METRO,” International Journal Information System and Computer Science (IJISCS), 2(2), pp. 59–66. Available at: https://jurnal.ftikomibn.ac.id/index.php/ijiscs/article/view/603.
  10. Hille, P., Walsh, G. and Cleveland, M. (2015) “Consumer Fear of Online Identity Theft: Scale Development and Validation,” Journal of Interactive Marketing, 30(1), pp. 1–19. Available at: https://doi.org/10.1016/j.intmar.2014.10.001.
  11. Levitin, A.J. (2017) “Pandora’s Digital Box: The Promise and Perils of Digital Wallets,” University of Pennsylvania Law Review, 166(2), pp. 1–90. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2899104.
  12. Liu, G.-S. and Tai, P.T. (2016) “A Study of Factors Affecting the Intention to Use Mobile Payment Services in Vietnam,” Economics World, 4(6), pp. 249–273. Available at: https://doi.org/10.17265/2328-7144/2016.06.001.
  13. Nguyen, C., Dinh, D. and Doan, T. (2018) “The Determinants of the Choices of Payment Methods for Goods and Services Transaction in Vietnam,” International Journal of Applied Science, 1(2), pp. 84–92. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3906109.
  14. Oktora, R. et al. (2022) Statistik eCommerce 2022. Edited by L. Anggraini. Badan Pusat Statistik.
  15. Parrett, E. (no date) What is Social Impact and How Do I Measure It?, Good Finance. Available at: https://www.goodfinance.org.uk/latest/post/what-social-impact-and-how-do-i-measure-it (Accessed: July 1, 2024).
  16. Sugiyono (2019) Metode Penelitian Pendidikan (Kuantitatif, Kualitatif, Kombinasi, R&D dan Penelitian Tindakan). 3rd ed. Edited by A. Nuryanto. Bandung: Alfabeta.
  17. Sugiyono (2022) Metode Penelitian Bisnis, Pendekatan Kuantitatif, Kualitatiff, Kombinasi, dan R&D. Bandung: CV Alfabeta.
  18. Taiwo, A.A., Mahmood, A.K. and Downe, A.G. (2012) “User acceptance of eGovernment: Integrating risk and trust dimensions with UTAUT model,” in 2012 International Conference on Computer & Information Science (ICCIS). Kuala Lumpur: IEEE, pp. 109–113. Available at: https://doi.org/10.1109/ICCISci.2012.6297222.
  19. Venkatesh, V. et al. (2003) “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, 27(3), pp. 425–478. Available at: https://doi.org/10.2307/30036540.
  20. Widodo, M., Irawan, M.I. and Sukmono, R.A. (2019) “Extending UTAUT2 to Explore Digital Wallet Adoption in Indonesia,” in 2019 International Conference on Information and Communications Technology (ICOIACT). Yogyakarta: IEEE, pp. 878–883. Available at: https://doi.org/10.1109/ICOIACT46704.2019.8938415.
  21. Won, J. and Kim, B.-Y. (2020) “The Effect of Consumer Motivations on Purchase Intention of Online Fashion - Sharing Platform,” Journal of Asian Finance, Economics and Business, 7(6), pp. 197–207. Available at: https://doi.org/10.13106/jafeb.2020.vol7.no6.197.
  22. Yang, K. and Forney, J.C. (2013) “The Moderating Role Of Consumer Technology Anxiety In Mobile Shopping Adoption: Differential Effects Of Facilitating Conditions And Social Influences,” Journal of Electronic Commerce Research, 14(4), pp. 334–347. Available at: http://www.jecr.org/sites/default/files/14_4_p04.pdf.
  23. Zou, Y. et al. (2018) “‘I’ve Got Nothing to Lose’: Consumers’ Risk Perceptions and Protective Actions after the Equifax Data Breach,” in Proceedings of the Fourteenth Symposium on Usable Privacy and Security. Baltimore: USENIX Association, pp. 197–216. Available at: https://www.usenix.org/conference/soups2018/presentation/zou.