The role of digital payment benefits toward switching consumer behavior in the case of OVO application
Zaki Irfan Al Hafizh · Anas Hidayat
International Journal of Research in Business and Social Science · 2022 · Vol. 11 / Issue 7 · 23-34
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Abstract
The objective of this study is first to investigate the benefits of digital payment toward switching consumer behavior in using the OVO application as a tool for payment transactions. The involved variables are perceived usefulness, perceived ease of use, self-efficacy, security, and trust, switching intention. This study used the quantitative approach and study design used in this research, which is explanatory research. the population in this study consisted of university students who had previously used the OVO application for payment transactions in Yogyakarta. The sampling technique used was non-probability sampling, with the most significant number of samples being 300 people. The data collection technique uses a questionnaire that has been tested for validity and reliability. The data analysis technique used is Amos. Findings show that all hypotheses are accepted. It means all users believe that OVO digital payments benefit users in payment transactions. from the research conducted, the results showed that all relationships between hypotheses are positive and can be assessed from the minimum score if C.R showed a value more significant than 1.96 and less than 0.05 to the p-value, then there is a positive.
Keywords: {'name': 'Perceived Ease of Use, Perceived Usefulness, Behavior Intention, Security, and Trust.'}
Authors & affiliations
Zaki Irfan Al Hafizh
Affiliation not supplied
Anas Hidayat
Affiliation not supplied
Deposited references
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Adnyasuari, P. A. S., & Darma, G. S. (2017). Technology Acceptance Model and e- satisfaction in mobile banking. Jurnal Manajemen Bisnis, 14(2), 1-12.
Ahmed, Z., Gull, M., & Rafiq, U. (2015). Factors affecting consumer switching behavior: Mobile phone market in Manchester-United Kingdom. International Journal of Scientific and Research Publications, 5(7), 1-7.
DOI: 10.17512/pjms.2018.17.2.02
Amri, U. (2020). Perbandingan transaksi pembayaran sistem ovo dan cash. Pilar, 11(2), 15-26.
DOI: 10.1089/cyber.2015.0243
DOI: 10.1037/0022-3514.45.2.464
Bandura, A. (1977). Self-Efficacy: The Exercise of Control, NY: W. H. Freeman and Company.
DOI: 10.1177/0092070304267928
Banu, M. N., & Banu, S. M. (2013). A comprehensive study of phishing attacks. International Journal of Computer Science and Information Technologies, 4(6), 783-786.
DOI: 10.4324/9780429053047
DOI: 10.1080/10447318.2017.1403220
Bhasin, H. (2010). Factors Affecting Consumer Buying Behavior, 4 August.
DOI: 10.2307/3250921
DOI: 10.36713/epra4614
DOI: 10.36713/epra4614
DOI: 10.1111/isj.12030
Chinomona, R. (2013). The influence of perceived ease of use and perceived usefulness on trust and intention to use mobile social software: technology and innovation. African Journal for Physical Health Education, Recreation and Dance, 19(2), 258-273.
DOI: 10.2307/249688
DOI: 10.1080/095373203000136033
DOI: 10.2307/249008
DOI: 10.1287/mnsc.35.8.982
DOI: 10.1016/j.techfore.2018.09.018
DOI: 10.1111/j.1083-6101.2000.tb00110.x
DOI: 10.1109/HSI.2010.5514528
DOI: 10.33050/atm.v6i1.1680
DOI: 10.47201/jamin.v1i1.21
Ferahtia, A. (2021). See discussions, stats, and author profiles for this publication at: https://www. researchgate. net/publication/350567414.
DOI: 10.33633/tc.v16i4.1515
Floh, A. The Adoption of Public E-Payment Services. https://www.academia.edu/943361/The_Adoption_of_Public_E_Payment_Services?auto=citations&from=cover_page
DOI: 10.1007/978-3-642-16822-2_4
DOI: 10.1016/S0305-0483(00)00021-9
DOI: 10.2307/30036519
Ghozali, I. (2016). Aplikasi analisis multivariete IBM SPSS 23. Badan Penerbit Universitas Diponegoro, Semarang.
Ghozali, P. (2017). Model PersamaanStruktural Konsep dan Aplikasi Dengan Program AMOS 24 Update Bayesian SEM (Vol. Edisi Vll). Indonesia: Badan Penerbit Universitas Diponogoro.
Hameed, M. A., & Arachchilage, N. A. G. (2018). Understanding the influence of Individual's Self-efficacy for Information Systems Security Innovation Adoption: A Systematic Literature Review. arXiv preprint arXiv:1809.10890.
DOI: 10.1016/j.ijhm.2010.11.006
DOI: 10.1108/JEIM-06-2019-0179
Hapsari, R. R. T., & Triretno, R. (2017). Model Kepercayaan Individu: Studi Empiris Perilaku Transaksi Berbasis Online. Jurnal Ilmiah Mahasiswa FEB, 6(1).
Hidayati, S. (2006). Kajian Operasional E-Money. Jakarta : Bank Indonesia.
DOI: 10.1016/j.dss.2003.08.001
DOI: 10.1108/IJBM-03-2018-0072
Hurriyati, R., & Wibowo, L. A. Analysis of Information Technology User Behavior at Higher Education Institution holding BHMN status. International Journal Management Science and Business, 2(1). https://ejournal.upi.edu/index.php/msb/article/view/30355
DOI: 10.14710/jiab.2020.26225
DOI: 10.38043/jmb.v17i4.2713
Jin, L. Y., Osman, A. B., & Halim, M. S. B. A. (2014). Perceived usefulness and trust towards consumer behaviors: a perspective of consumer online shopping. Journal of Asian Scientific Research, 4(10), 541-546.
Jogiyanto, H. M. (2007). Sistem informasi keperilakuan. Yogyakarta: Andi Offset.
DOI: 10.1016/j.chb.2017.10.035
DOI: 10.1108/IJBM-04-2019-0155
DOI: 10.1108/13555851011062269
Kholid, M. K. A. (2015). Hubungan Antara Dukungan Sosial dengan Self Efficacy Mahasiswa dalam menyelesaikan Skripsi (Studi Pada Mahasiswa angkatan 2009 sampai dengan 2011 Fakultas Dakwah dan Komunikasi Universitas Islam Negeri Sunan Kalijaga Yogyakarta). Uin Sunan Kalijaga, 12.
DOI: 10.1016/j.tele.2019.02.003
DOI: 10.1080/02642069.2015.1043278
DOI: 10.1108/10662241211271554
DOI: 10.1111/j.1540-5915.1980.tb01130.x
DOI: 10.4018/jhisi.2007070105
DOI: 10.1016/j.asr.2016.02.014
DOI: 10.36713/epra4022
DOI: 10.1108/08876041311296347
Malhotra, N. K., Nunan, D., & Birsk, D. F. (2017). Marketing Research an Applied Approach Fith Edition. Slovakia: Pearson Education Limited.
DOI: 10.1016/j.techsoc.2017.12.001
Mentari, A. C., & Bendesa, I. K. G. (2018). Analisis faktor-faktor yang mempengaruhi minat dalam menggunakan uang elektronik di Kota Denpasar, Provinsi Bali. E-Jurnal EP Unud, 7(4), 646-676.
DOI: 10.1016/j.sbspro.2014.07.546
DOI: 10.3390/su13179567
DOI: 10.1108/IJBM-06-2021-0284
Nst, M. Y. S. (2020). Pengaruh Perceived Ease of Use dan Perceived Usefulness Terhadap Behavior Intention Digital Payment OVO (Studi pada Pengguna OVO di Kota Medan).
DOI: 10.24912/jmk.v2i3.9584
DOI: 10.24843/EJA.2019.v27.i02.p04
DOI: 10.20885/jsb.vol21.iss1.art6
DOI: 10.1016/0022-0531(75)90006-X
DOI: 10.1016/j.cose.2009.05.008
DOI: 10.1016/j.ijhcs.2006.01.003
DOI: 10.1111/j.1559-1816.1996.tb02734.x
DOI: 10.24252/minds.v6i2.11274
Seetharaman, A., Kumar, K. N., Palaniappan, S., & Weber, G. (2017). Factors influencing behavioural intention to use the mobile wallet in Singapore. Journal of Applied Economics and Business Research, 7(2), 116-136.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. john wiley & sons.
Setyowati, D. (2019). Riset: Kalahkan OVO, GoPay Paling Banyak Digunakan Tahun Ini. From Katadata. co. id: https://katadata. co. id/desysetyowati/digital/5e9a4c5442912/riset-kalahkan-ovo-gopay-paling-banyak- digunakan-tahun-ini.
DOI: 10.1007/s10916-016-0591-5
DOI: 10.5220/0009964400890093
Teoh, W. M. Y., Chong, S. C., Lin, B., & Chua, J. W. (2013). Factors affecting consumers’ perception of electronic payment: an empirical analysis. Internet Research.
Thirupathi, M., Vinayagamoorthi, G., & Mathiraj, S. P. (2019). Effect Of cashless payment methods: A case study perspective analysis. International Journal of scientific & technology research, 8(8), 394-397.
DOI: 10.2307/249443
DOI: 10.1016/j.ijhcs.2006.05.001
DOI: 10.1016/j.sbspro.2016.05.390
DOI: 10.1080/014492999119039
DOI: 10.1109/TEM.1982.6447463
DOI: 10.1016/j.ijinfomgt.2019.03.003
DOI: 10.1016/j.im.2012.04.002
DOI: 10.15240/tul/001/2017-4-010
DOI: 10.1108/09564230310500192
Wang, Z., & Li, H. (2016). Factors Influencing Usage of Third Party Mobile Payment Services in China: An Empirical Study.
DOI: 10.3390/asi1030036
Widiyati, S., Listyani, T. T., Rikawati, R., & Rois, M. (2022). Kajian Switching Behavior Terhadap Pembayaran Cashless Pada Masyarakat Di Jawa Tengah. In Prosiding Seminar Hasil Penelitian dan Pengabdian Masyarakat (Vol. 4, No. 1).
Wirth, J., & Maier, C. (2017). Why individuals switch to using mobile payment: A migration- theoretic, empirical study.
Woon, I., Tan, G. W., & Low, R. (2005). A protection motivation theory approach to home wireless security.
DOI: 10.24127/akuntansi.v1i1.335
DOI: 10.17705/1CAIS.02835
DOI: 10.1002/dir.10008
Yunita, D., & Rosa, A. (2016). Pengaruh Mencari Variasi, Ketidakpuasan Dan Ketidak Tersediaan Produk Terhadap Perpindahan Merek. Jurnal Manajemen dan Bisnis Sriwijaya, 14(4), 539-558.
DOI: 10.3390/ijerph18031016
DOI: 10.1177/0266666911424075