INTENTION TO USE M-WALLET APPLICATION: AN ADJUSTED MEASUREMENT OF FACILITATING CONDITIONS

Hendrick Hernando; Suryo Hadi Wira Prabowo; Farida Tri Hastuti

doi:10.20473/jeba.V34I22024.229-239

Authors

Hendrick Hernando
hernando@pnm.ac.id
Department of Business Administration, Politeknik Negeri Madiun https://orcid.org/0000-0002-4621-9556
Suryo Hadi Wira Prabowo Department of Management, Universitas Negeri Malang https://orcid.org/0000-0002-6433-841X
Farida Tri Hastuti Department of Business Administration, Politeknik Negeri Madiun https://orcid.org/0009-0008-4155-7266

Vol. 34 No. 2 (2024): JURNAL EKONOMI DAN BISNIS AIRLANGGA

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November 30, 2024

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Introduction: M-wallets have become the most prominent financial technology in Indonesia. Thus, discerning the behavioral intention of using m-wallet apps and the related determinants is essential. This study proposes an extended indicator for facilitating conditions to fill the identified gap in previous studies. The influence of facilitating conditions on usage intention is also examined.

Methods: This study employed PLS-SEM to validate our proposed indicator and research hypothesis. 122 m-wallet users in Madiun participated as the research respondents. Data from the respondents was analyzed through reflective and structural assessments.

Results: The findings identified that the QR code policy was valid and reliable as an indicator for facilitating conditions. Through the structural model assessment, the impact of facilitating conditions on usage intention was found to be significant.

Conclusion and suggestion: As a novel contribution, this study has provided the QR code policy as an extended indicator. In this situation, the government plays a consequential role in increasing m-wallet penetration. Moreover, m-wallet providers are suggested to take into consideration facilitating conditions, including user guidance and smartphone compatibility.

Hernando, H., Prabowo, S. H. W., & Hastuti, F. T. (2024). INTENTION TO USE M-WALLET APPLICATION: AN ADJUSTED MEASUREMENT OF FACILITATING CONDITIONS. Jurnal Ekonomi Dan Bisnis Airlangga, 34(2), 229–239. https://doi.org/10.20473/jeba.V34I22024.229-239

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Abdul-Halim, N.-A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., & Nawaser, K. (2022). Understanding the determinants of e-wallet continuance usage intention in Malaysia. Quality & Quantity, 56(5), 3413–3439.

https://doi.org/10.1007/s11135-021-01276-7

Albayati, H., Kim, S. K., & Rho, J. J. (2020). Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach. Technology in Society, 62, 101320. https://doi.org/10.1016/j.techsoc.2020.101320

Anshari, M., Almunawar, M. N., & Masri, M. (2020). An Overview of Financial Technology in Indonesia. In M. Anshari, M. N. Almunawar, & M. Masri (Eds.), Advances in Finance, Accounting, and Economics (pp. 216–224). IGI Global.

https://doi.org/10.4018/978-1-5225-9183-2.ch012

Bohari, S. A., Rahim, R. A., & Aman, A. (2022). Role of comparative economic benefits on intention to use e-wallet: The case in Malaysia. International Journal of Electronic Finance, 11(4), 364. https://doi.org/10.1504/IJEF.2022.126476

Chang, V., Chen, W., Xu, Q. A., & Xiong, C. (2021). Towards the Customers’ Intention to Use QR Codes in Mobile Payments. Journal of Global Information Management, 29(6), 1–21. https://doi.org/10.4018/JGIM.20211101.oa37

Chawla, D., & Joshi, H. (2020). The moderating role of gender and age in the adoption of mobile wallet. Foresight, 22(4), 483–504.

https://doi.org/10.1108/FS-11-2019-0094

CNBC. (2023). Southeast Asia is on the cusp of a ‘supercharged’ digital payment revolution, PwC says. https://www.cnbc.com

Dhingra, S., & Gupta, S. (2020). Behavioural Intention to Use Mobile Banking: An Extension of UTAUT2 Model. International Journal of Mobile Human Computer Interaction, 12(3), 1–20. https://doi.org/10.4018/IJMHCI.2020070101

Duy, N. B. P., & Giang, N. T. P. (2022). Contactless Payments through E-wallets on Mobile Devices in the Context of Covid 19 at VietNam. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), 0385–0392.

https://doi.org/10.1109/CCWC54503.2022.9720868

Ediputra, M. R., & Amalyah, A. A. (2022). Analysis Factors Affecting Consumer Preferences in using Qris Payment In-Store. 2022 5th International Conference of Computer and Informatics Engineering (IC2IE), 29–34.

https://doi.org/10.1109/IC2IE56416.2022.9970086

Esawe, A. T. (2022). Understanding mobile e-wallet consumers’ intentions and user behavior. Spanish Journal of Marketing - ESIC, 26(3), 363–384.

https://doi.org/10.1108/SJME-05-2022-0105

Farzin, M., Sadeghi, M., Yahyayi Kharkeshi, F., Ruholahpur, H., & Fattahi, M. (2021). Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter? Asian Journal of Economics and Banking, 5(2), 136–157.

https://doi.org/10.1108/AJEB-10-2020-0085

George, A., & Sunny, P. (2021). Developing a Research Model for Mobile Wallet Adoption and Usage. IIM Kozhikode Society & Management Review, 10(1), 82–98.

https://doi.org/10.1177/2277975220965354

Guenther, P., Guenther, M., Ringle, C. M., Zaefarian, G., & Cartwright, S. (2023). Improving PLS-SEM use for business marketing research. Industrial Marketing Management, 111, 127–142. https://doi.org/10.1016/j.indmarman.2023.03.010

Hair, J. F., Hult, T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (2nd ed.). Sage.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

https://doi.org/10.1108/EBR-11-2018-0203

Ifada, A. B., & Abidin, Z. (2022). Factor Analysis of Continuance Intention to Use QR Code Mobile Payment Services: An Extended Expectation-Confirmation Model (ECM). Journal of Advances in Information Systems and Technology, 4(2), 222–235.

https://doi.org/10.15294/jaist.v4i2.61468

Jameel, A. S., Rahman Ahmad, A., & Alheety, A. S. (2022). Behavioural Intention to Use e-Wallet: The Perspective of Security and Trust. 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA), 1–5.

https://doi.org/10.1109/eSmarTA56775.2022.9935423

Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227-261. https://doi.org/10.1111/isj.12131

Katadata. (2022). Dompet Digital Makin Diminati. https://katadata.co.id/639fe20e7f7e1

Ly, H. T. N., Khuong, N. V., & Son, T. H. (2022). Determinants affect mobile wallet continuous usage in COVID 19 pandemic: Evidence from vietnam. Cogent Business & Management, 9(1), 2041792. https://doi.org/10.1080/23311975.2022.2041792

Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192

Nam, G. (2021). Bringing the QR Code to Canada: The Rise of AliPay and WeChatPay in Canadian e-Commerce Markets. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3 (Vol. 1290, pp. 622–628). Springer International Publishing.

https://doi.org/10.1007/978-3-030-63092-8_42

Nawi, N. C., Mamun, A. A., Hayat, N., & Seduram, L. (2022). Promoting Sustainable Financial Services Through the Adoption of eWallet Among Malaysian Working Adults. SAGE Open, 12(1), https://doi.org/10.1177/21582440211071107

Ojo, A. O., Fawehinmi, O., Ojo, O. T., Arasanmi, C., & Tan, C. N.-L. (2022). Consumer usage intention of electronic wallets during the COVID-19 pandemic in Malaysia. Cogent Business & Management, 9(1), 2056964.

https://doi.org/10.1080/23311975.2022.2056964

Populix. (2022). Consumer Preference Towards Banking and E-Wallet Apps.

Puspitasari, A. A., & Salehudin, I. (2022). Quick Response Indonesian Standard (QRIS): Does Government Support Contribute to Cashless Payment System Long-term Adoption? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4076192

Rosli, M. S., Saleh, N. S., Ali, A. Md., & Bakar, S. A. (2023). Factors Determining the Acceptance of E-Wallet among Gen Z from the Lens of the Extended Technology Acceptance Model. Sustainability, 15(7). https://doi.org/10.3390/su15075752

Saripudin, S., Yuniarti, R., & Ernawati, D. (2023). Exploring the Factors Influencing the Adoption of QRIS as a Digital Payment in Indonesia. The Journal of Management Theory and Practice, 4(1), 53–59. https://doi.org/10.37231/jmtp.2023.4.1.322

Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035–1064.

https://doi.org/10.1002/mar.21640

Senali, M. G., Iranmanesh, M., Ismail, F. N., Rahim, N. F. A., Khoshkam, M., & Mirzaei, M. (2023). Determinants of Intention to Use e-Wallet: Personal Innovativeness and Propensity to Trust as Moderators. International Journal of Human–Computer Interaction, 39(12), 2361–2373. https://doi.org/10.1080/10447318.2022.2076309

Shane, J. M. S. S., Chan, T. J., & Mohan, Y. M. (2022). Factors Affecting the Intention to Adopt E-Wallet Services During Covid-19 Pandemic. Journal of Arts & Social Sciences, 5(2), 28–40.

Syifa, N., & Tohang, V. (2020). The Use Of E-Wallet System. 342–347.

Taherdoost, H. (2016). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. SSRN Electronic Journal.

https://doi.org/10.2139/ssrn.3205035

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 125.

https://doi.org/10.2307/249443

Tun, P. M. (2020). An Investigation of Factors Influencing Intention to Use Mobile Wallets of Mobile Financial Services Providers in Myanmar. The Asian Journal of Technology Management (AJTM), 13(2), 129–144.

https://doi.org/10.12695/ajtm.2020.13.2.3

Tusyanah, T., Wahyudin, A., & Khafid, M. (2021). Analyzing Factors Affecting the Behavioral Intention to Use e-Wallet with the UTAUT Model with Experience as Moderating Variable. Journal of Economic Education, 10(2), 113–123.

https://doi.org/10.15294/jeec.v9i2.44824

Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425.

https://doi.org/10.2307/30036540

Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412

Visa. (2024). Budaya cashless marak di Indonesia seiring penggunaan uang tunai yang terus menurun. https://www.visa.co.id/about-visa/newsroom/press-releases/nr-id-240319.html

Yang, M., Mamun, A. A., Mohiuddin, M., Nawi, N. C., & Zainol, N. R. (2021). Cashless Transactions: A Study on Intention and Adoption of e-Wallets. Sustainability, 13(2), 831. https://doi.org/10.3390/su13020831

Zhong, Y., & Moon, H.-C. (2022). Investigating Customer Behavior of Using Contactless Payment in China: A Comparative Study of Facial Recognition Payment and Mobile QR-Code Payment. Sustainability, 14(12), 7150.

https://doi.org/10.3390/su14127150