Success Analysis of Flip: A Free Interbank Funds Transfer Mobile Application Using the UTAUT2 Model

Authors

  • Madek Jeani Purnama Universitas Udayana
  • Ni Putu Sri Harta Mimba
  • Maria M. Ratna Sari
  • Dodik Ariyanto

DOI:

https://doi.org/10.23887/jia.v8i2.65454

Keywords:

UTAUT2, perceived risk, perceived trust, self-efficacy, Flip application

Abstract

 

 The COVID-19 pandemic has profoundly influenced consumer behavior, leading to a surge in online transactions, particularly through social media platforms. However, transactions involving money transfers between different banks often incur fees, posing a challenge. The Flip application emerges as a viable solution, offering a novel approach to such transactions within the e-commerce landscape. Despite its relative novelty, the Flip application plays a significant role in addressing this challenge. Notably, there is a paucity of studies analyzing the success of this digital platform within the e-commerce domain. This research aims to bridge this gap by adopting the UTAUT2 model, extending it with the variables PR, PT, and SE. Employing accidental sampling, data were collected and analyzed using SEM-PLS. The study reveals that PE, SI, PV, and HAB significantly influence the intention to use Flip. These findings suggest that improving services in these areas can contribute to increasing the user base of the Flip application. This research not only adds to the understanding of digital application success but also provides actionable insights for Flip application system providers seeking to enhance user engagement. 

References

Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behaviour. From Cognition to Behaviour (pp. 11–39): Actionocontrol.

Alalwan, A. A. (2018). Investigating the Impact of Social Media Advertising Features on Customer Purchase Intention. International Journal of Information Management, 42, 65–77. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2018.06.001

Alalwan, A. A. (2020). Mobile Food Ordering Apps: An Empirical Study of the Factors Affecting Customer E-Satisfaction and Continued Intention to Reuse. International Journal of Information Management, 50, 28–44. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.04.008

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors Influencing Adoption of Mobile Banking by Jordanian Bank Customers: Extending UTAUT2 with Trust. International Journal of Information Management, 37(3), 99–110.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining Factors Influencing Jordanian Customers’ Intentions and Adoption of Internet Banking: Extending UTAUT2 With Risk. Journal of Retailing and Consumer Services, 40, 125–138. https://doi.org/https://doi.org/10.1016/j.jretconser.2017.08.026

Alkhowaiter, W. A. (2022). Use and Behavioural Intention of M-Payment in GCC Countries: Extending Meta-UTAUT With Trust and Islamic Religiosity. Journal of Innovation & Knowledge, 7 (4)(100240), 1–12.

Al-Okaily, M., Alalwan, A. A., Al-Fraihat, D., Alkhwaldi, A. F., Rehman, S. U., & Al-Okaily, A. (2022). Investigating Antecedents of Mobile Payment Systems’ Decision-Making: a Mediated Model. Global Knowledge, Memory and Communication, ahead-of-print.

Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a General Extended UTAUT Model for M-payment Adoption. Technology in Society, 62, 101293, 1–10.

Andrianto, A. (2020). Faktor yang Mempengaruhi Behavior Intention Untuk Penggunaan Aplikasi Dompet Digital Menggunakan Model UTAUT2. Jurnal Ilmiah Ekonomi Bisnis, 25(2), 111–122.

Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer Use of Mobile Banking (M-Banking) in Saudi Arabia: Towards an Integrated Model. International Journal of Information Management, 44, 38–52.

Bandura, A. (1977). Social Cognitive Theory. Englewood Cliff. NJ: Prentice Hall.

Bandura, A., & Walters, R. H. (1977). Social Learning Theory (Vol. 1). Englewood cliffs Prentice Hall.

Boonsiritomachai, W., & Pitchayadejanant, K. (2019). Determinants Affecting Mobile Banking Adoption by Generation Y Based on The Unified Theory of Acceptance and Use of Technology Model Modified by the Technology Acceptance Model Concept. Kasetsart Journal of Social Sciences, 40(2), 349–358.

BPS. (2022). Statistik eCommerce 2022. Badan Pusat Statistik. https://www.bps.go.id/publication/2022/12/19/d215899e13b89e516caa7a44/statistik-e-commerce-2022.html

Brown, S. A., & Venkatesh, V. (2005). A Model of Adoption of Technology in The Household: A Baseline Model Test and Extension Incorporating Household Life Cycle. Management Information Systems Quarterly, 29(3), 11.

Gupta, K., & Arora, N. (2020). Investigating Consumer Intention to Accept Mobile Payment Systems Through Unified Theory of Acceptance Model: An Indian Perspective. South Asian Journal of Business Studies, 9(1), 88–114.

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Factor Analysis. Multivariate Data Analysis. NJ Prentice-Hall, 3, 98–99.

Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2018). M-Payment Adoption for Bottom of Pyramid Segment: An Empirical Investigation. International Journal of Bank Marketing, 362–381.

Karjaluoto, H., Shaikh, A. A., Leppäniemi, M., & Luomala, R. (2019). Examining Consumers’ Usage Intention of Contactless Payment Systems. International Journal of Bank Marketing, 38(2), 332–351.

Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and Social influence: Predicting Mobile Payment Adoption. The Service Industries Journal, 35(10), 537–554.

Kurnia, F. (2021). Pengembangan Niat Adopsi Mobile Wallet: Integrasi Model UTAUT2 dengan Social Connectedness dan Culture. Jurnal Rekayasa Sistem Industri, 10(2), 145–160.

Liébana-Cabanillas, F., Molinillo, S., & Ruiz-Montañez, M. (2019). To Use or Not to Use, That Is the Question: Analysis of The Determining Factors for Using NFC Mobile Payment Systems In Public Transportation. Technological Forecasting and Social Change, 139, 266–276.

Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quarterly, 705–737.

Malarvizhi, C. A., Al Mamun, A., Jayashree, S., Naznen, F., & Abir, T. (2022). Predicting the Intention and Adoption of Near Field Communication Mobile Payment. Frontiers in Psychology, 13.

Merhi, M., Hone, K., & Tarhini, A. (2019). A Cross-Cultural Study of The Intention to Use Mobile Banking Between Lebanese and British Consumers: Extending UTAUT2 with Security, Privacy and Trust. Technology in Society, 59, 101151. https://doi.org/https://doi.org/10.1016/j.techsoc.2019.101151

Mimba, N. P. S. H., Pramartha, C. R. A., & Andini, N. P. E. L. (2021). Desain Digital Complementary Marketing Pada Perberdayaan Social Entrepreneurs Berbasis Kearifan Lokal Bali. Progress Conference, 4(1), 138–144.

Mustaqim, R. N., Kusyanti, A., & Aryadita, H. (2018). Analisis Faktor-Faktor yang Memengaruhi Niat penggunaan E-Commerce XYZ Menggunakan Model UTAUT (Unified Theory Acceptance and Use of Technology). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer E-ISSN, 2548, 2584–2593.

Pavlou, P. A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with The Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101–134.

Pertiwi, N. W. D. M. Y., & Ariyanto, D. (2017). Penerapan Model UTAUT2 Untuk Menjelaskan Minat dan Perilaku Penggunaan Mobile Banking di Kota Denpasar. E-Jurnal Akuntansi, 18(2), 1369–1397.

Prabowo, R. S. H., & Widodo, T. (2021). Analisis Penerapan Model Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Pada Adopsi Penggunaan Mobile Payment Jenius (Studi Kasus Di Kota Bandung). EProceedings of Management, 8(5), 4323–4339.

Purnama, M. J., Mimba, N. P. S. H., Sari, M. M. R., & Ariyanto, D. (2023). Transaksi E-Commerce: A Business Process Modelling. SENADA (Seminar Nasional Manajemen, Desain Dan Aplikasi Bisnis Teknologi), 6, 266–271.

Purnamasari, A., Pranastara, F., Rosa, I. S., Riana, D., & Hadianti, S. (2022). Analysis of the Effect of DTPB on User Intention to Keep Using the Flip Application. Sistemasi: Jurnal Sistem Informasi, 11(1), 108–120.

Putra, R. D., & Prehanto, D. R. (2021). Analisis Kepuasan Pengguna Aplikasi Flip. id menggunakan Metode Technology Acceptance Model (TAM) dan End User Computing Satisfaction (EUCS). Journal of Emerging Information System and Business Intelligence (JEISBI), 2(4), 19–26.

Putri, N. K. R. D., & Suardikha, I. M. S. (2020). Penerapan Model UTAUT 2 Untuk Menjelaskan Niat dan Perilaku Penggunaan E-Money di Kota Denpasar. E-Jurnal Akuntansi, 30(2), 540–555.

Saragih, Y. W., & Rikumahu, B. (2022). Analisis Faktor Adopsi E-wallet GOPAY, OVO, DAN DANA Dengan Model UTAUT2 Pada Masyarakat Jawa Barat. Nominal: Barometer Riset Akuntansi Dan Manajemen, 11(1), 98–121.

Sari, M. M. R. (2009). Pengaruh Efektivitas Penggunaan dan Kepercayaan terhadap Teknologi Sistem Informasi Akuntansi terhadap Kinerja Individual pada Pasar Swalayan di Kota Denpasar. Jurnal Ilmiah Akuntansi Dan Bisnis, 4(1), 56–72.

Sari, M. M. R., & Suryanawa, I. K. (2021). The Influence of Academic Self-Efficacy and Self-Esteem on Academic Achievement: A Study on Accounting Students. E-Jurnal Akuntansi, 32(3), 617–628.

Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining Factors in the Adoption and Recommendation of Mobile Wallet Services in India: Analysis of the Effect of Innovativeness, Stress to Use and Social Influence. International Journal of Information Management, 50, 191–205. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.05.022

Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2015). Exploring Consumer Adoption of Proximity Mobile Payments. Journal of Strategic Marketing, 23(3), 209–223.

Syahra, I. (2022). Analisis Faktor yang Mempengaruhi Persepsi Mahasiswa UMY terhadap Minat Penggunaan Aplikasi Flip [Skripsi]. Universitas Muhammadiyah Yogyakarta.

Tam, C., Santos, D., & Oliveira, T. (2020). Exploring The Influential Factors of Continuance Intention to Use Mobile Apps: Extending The Expectation Confirmation Model. Information Systems Frontiers, 22(1), 243–257. https://doi.org/10.1007/s10796-018-9864-5

Tandon, U., Kiran, R., & Sah, A. N. (2016). Understanding Online Shopping Adoption in India: Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with Perceived Risk Application. Service Science, 8(4), 420–437.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward A Unified View. MIS Quarterly, 425–478.

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, 36(1), 157–178. https://doi.org/10.2307/41410412

Wintarsih, E., Cahyadi, R., Irfandi, Z., Nazri, M., Shihab, M. R., & Budi, N. F. A. (2019). Reducing Interbank Money Transfer Cost for Personal and Small Businesses using Rational Consumer Behavior Analysis: Case Study of Flip. id. 2019 International Conference on Information Management and Technology (ICIMTech), 1, 613–617.

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2023-12-31

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