THE IMPACT OF THE TECHNOLOGY ACCEPTANCE MODEL ON THE USE OF QR CODE PAYMENT AS A DIGITAL PAYMENT METHOD AMONG MSME ENTREPRENEURS IN THE CULINARY TOURISM CENTER OF SURABAYA
Universitas Surabaya
Universitas Surabaya
DOI:
https://doi.org/10.56943/joe.v4i1.692Bank Indonesia introduced Quick Response Indonesian Standard (QRIS) to enhance digital transaction convenience, security, and efficiency, particularly to support MSMEs in boosting Indonesia's economy, although its adoption in the food and beverage industry remains limited. This research concentrates on the aspects that impact the willingness to use QRIS among MSME business owners in the Culinary Tourism Center of Surabaya, Indonesia through the lens of the Technology Acceptance Model (TAM). This causal study collected data from 50 MSME merchants over the age of 50 who had used QRIS as a payment method for more than a month. Using SEM-PLS analysis on SmartPLS 4.1, the research found that perceived usefulness significantly impacts the intention to use QRIS, leading to increased business productivity by enhancing transaction efficiency, reducing direct contact with clients, and improving payment security. The study also revealed that perceived ease of use does not directly influence the intention to use QRIS but affects it indirectly by enhancing perceived usefulness. The findings highlight the crucial role of perceived ease of use in shaping utility perception. The research contributes to the understanding of digital payment adoption among MSMEs in Indonesia, particularly in the food and beverage sector, by providing insights into the relationship between TAM variables. It emphasizes the need for targeted training and support to boost QRIS adoption, enabling MSME merchants to remain competitive in the digital economy. The study offers valuable recommendations for policymakers, financial institutions, and technological stakeholders to facilitate Indonesia’s economic digitalization through increased QRIS usage.
Keywords: Digital Payment MSMEs Quick Response Indonesian Standard Technology Acceptance Model
Alsyouf, A., Lutfi, A., Alsubahi, N., Alhazmi, F. N., Al-Mugheed, K., Anshasi, R. J., Alharbi, N. I., & Albugami, M. (2023). The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability. International Journal of Environmental Research and Public Health, 20(2), 1347. https://doi.org/10.3390/ijerph20021347
Altounjy, R., Alaeddin, O., Hussain, H. I., & Kot, S. (2020). Moving from Bricks to Clicks: Merchants’ Acceptance of the Mobile Payment in Malaysia. International Journal of EBusiness and EGovernment Studies, 12(2), 136–150. https://doi.org/10.34111/ijebeg.202012204
Altwairesh, R., & Aloud, M. (2021). Mobile Payments from Merchants’ Perspective: An Empirical Study Using the TAM Model in Saudi Arabia. IJCSNS International Journal of Computer Science and Network Security, 21(8), 317. https://doi.org/10.22937/IJCSNS.2021.21.8.41
Amin, M. K., Azhar, A., Amin, A., & Akter, A. (2015). Applying the technology acceptance model in examining Bangladeshi consumers’ behavioral intention to use mobile wallet: PLS-SEM approach. 2015 18th International Conference on Computer and Information Technology (ICCIT), 93–98. https://doi.org/10.1109/ICCITechn.2015.7488049
ASPI. (2023). Buletin Statistik ASPI Q3 2023 Umum Final. https://www.aspi-indonesia.or.id/buletin-statistik-aspi-triwulan-3-2023/
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931–944. https://doi.org/10.1016/j.techfore.2018.09.018
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/https://doi.org/10.2307/3150980
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. In Practical Assessment, Research and Evaluation (Vol. 21, Issue 1). https://link.springer.com/book/10.1007/978-3-030-80519-7
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
Hendrawan, M. R. N. A., Marits, S. A., & Herman, S. (2023). Development of Digital Payment Systems in Indonesia. Jurnal Ilmiah Manajemen Kesatuan, 11(3 SE-Articles), 1335–1344. https://jurnal.ibik.ac.id/index.php/jimkes/article/view/2328
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Husrizal Syah, D., Rahman Dongoran, F., Wahyu Nugrahadi, E., & Aditia, R. (2022). Understanding the technology acceptance model in the QRIS usage: Evidence from SMEs in Indonesia. International Journal of Research in Business and Social Science (2147- 4478), 11(6), 12–19. https://doi.org/10.20525/ijrbs.v11i6.1917
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755. https://doi.org/10.1016/j.im.2006.05.003
Kusumayani, K. L., Paramitha, A. A. I. I., & Yupita, L. (2023). FINTECH ANALYSIS OF QRIS PAYMENT TRANSACTIONS USING TAM METHOD IN MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMEs) IN BANGLI, BALI. Jurnal TAM (Technology Acceptance Model), 14(1), 103. https://doi.org/10.56327/jurnaltam.v14i1.1409
Kwabena, G.-Y., Qiang, M., Wenyuan, L., Qalati, S. A., & Erusalkina, D. (2019). EFFECTS OF THE DIGITAL PAYMENT SYSTEM ON SMES PERFORMANCE IN DEVELOPING COUNTRIES; A CASE OF GHANA. EPRA International Journal of Economic and Business Review, 79–87. https://doi.org/10.36713/epra2997
Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. J. (2015). User behaviour in QR mobile payment system: the QR Payment Acceptance Model. Technology Analysis & Strategic Management, 27(9), 1031–1049. https://doi.org/10.1080/09537325.2015.1047757
Mahyuni, L. P., & Setiawan, I. W. A. (2021). Bagaimana QRIS menarik minat UMKM ? sebuah model untuk memahani intensi UMKM menggunakan QRIS. Forum Ekonomi, 23(4), 735–747. https://journal.feb.unmul.ac.id/index.php/FORUMEKONOMI/article/view/10158
Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95. https://doi.org/10.1007/s10209-014-0348-1
Montano, D., & Kasprzyk, D. (2015). Theory of Reasoned Action, Theory of Planned Behavior, and the Integrated Behavioral Model. In Health Behavior and Health Education: Theory, Research, and Practice (Vol. 4, pp. 95–124).
Morosan, C. (2014). Toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel. International Journal of Contemporary Hospitality Management, 26(2), 246–271. https://doi.org/10.1108/IJCHM-11-2012-0221
Moslehpour, M., Pham, V., Wong, W.-K., & Bilgiçli, İ. (2018). e-Purchase Intention of Taiwanese Consumers: Sustainable Mediation of Perceived Usefulness and Perceived Ease of Use. Sustainability, 10(1), 234. https://doi.org/10.3390/su10010234
Mufarih, M., Jayadi, R., & Sugandi, Y. (2020). Factors Influencing Customers to Use Digital Banking Application in Yogyakarta, Indonesia. The Journal of Asian Finance, Economics and Business, 7(10), 897–907. https://doi.org/10.13106/jafeb.2020.vol7.no10.897
Mustapha, S. A. (2018). E-Payment Technology Effect on Bank Performance in Emerging Economies–Evidence from Nigeria. Journal of Open Innovation: Technology, Market, and Complexity, 4(4), 43. https://doi.org/10.3390/joitmc4040043
Najib, M., & Fahma, F. (2020). Investigating the Adoption of Digital Payment System through an Extended Technology Acceptance Model: an Insight from the Indonesian Small and Medium Enterprises. International Journal on Advanced Science, Engineering and Information Technology, 10(4), 1702–1708. https://doi.org/10.18517/ijaseit.10.4.11616
Nazir, M. (2014). Metode Penelitian. Ghalia Indonesia. https://inlislite.uin-suska.ac.id/opac/detail-opac?id=16001
Neuman, W. (2014). Social Research Methods: Qualitative and Quantitative Approaches. Pearson.
Pham, T.-T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159–172. https://doi.org/10.1016/j.techsoc.2015.05.004
Priambodo, S., & Prabawani, B. (2016). PENGARUH PERSEPSI MANFAAT, PERSEPSI KEMUDAHAN PENGGUNAN, DAN PERSEPSI RISIKO TERHADAP MINAT MENGGUNAKAN LAYANAN UANG ELEKTRONIK (Studi Kasus pada Masyarakat di Kota Semarang). Jurnal Ilmu Administrasi Bisnis, 5(2). https://doi.org/10.14710/jiab.2016.11294
Puspita, Y. C. (2019). Analisis Kesesuaian Teknologi Penggunaan Digital Payment Pada Aplikasi OVO. Jurnal Manajemen Informatika, 9(2), 121–128. https://ejournal.unesa.ac.id/index.php/jurnal-manajemen-informatika/article/view/29471
Rafferty, N. E., & Fajar, A. N. (2022). Integrated QR Payment System (QRIS) : Cashless Payment Solution in Developing Country from Merchant Perspective. Asia Pacific Journal of Information Systems, 32(3), 630–655. https://doi.org/10.14329/apjis.2022.32.3.630
Ramayanti, R., Rachmawati, N. A., Azhar, Z., & Nik Azman, N. H. (2024). Exploring intention and actual use in digital payments: A systematic review and roadmap for future research. Computers in Human Behavior Reports, 13, 100348. https://doi.org/10.1016/j.chbr.2023.100348
Sholihah, E., & Nurhapsari, R. (2023). Percepatan Implementasi Digital Payment Pada UMKM: Intensi Pengguna QRIS Berdasarkan Technology Acceptance Model. Nominal Barometer Riset Akuntansi Dan Manajemen, 12(1), 1–12. https://doi.org/10.21831/nominal.v12i1.52480
Sihaloho, J. E., Ramadani, A., & Rahmayanti, S. (2020). Implementasi Sistem Pembayaran Quick Response Indonesia Standard Bagi Perkembangan UMKM di Medan. Jurnal Manajemen Bisnis, 17(2), 287. https://doi.org/10.38043/jmb.v17i2.2384
Sindarta, F., & Santoso, T. (2022). Pengaruh Perceived Ease of Use Terhadap Intention to Use Melalui Perceived Usefulness Aplikasi Pemutar Musik Spotify Di Kalangan Pengguna Smartphone Berbasis Android. Agora, 10(1).
Singh, N., & Sinha, N. (2020). How perceived trust mediates merchant’s intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52, 101894. https://doi.org/10.1016/j.jretconser.2019.101894
Su, P., Wang, L., & Yan, J. (2018). How users’ Internet experience affects the adoption of mobile payment: a mediation model. Technology Analysis & Strategic Management, 30(2), 186–197. https://doi.org/10.1080/09537325.2017.1297788
Suebtimrat, P., & Vonguai, R. (2021). An Investigation of Behavioral Intention Towards QR Code Payment in Bangkok, Thailand. Journal of Asian Finance, Economics and Business, 8, 939–950. https://api.semanticscholar.org/CorpusID:237965134
Syafika, Y. Z., & Antonio, G. R. (2024). IMPACTS OF THE TECHNOLOGY ACCEPTANCE MODEL (TAM) ON THE USE OF THE TIKTOK E-COMMERCE APPLICATION AMONG INDONESIAN STUDENTS. UTSAHA: Journal of Entrepreneurship, 3(2), 47–64. https://doi.org/10.56943/joe.v3i2.591
Tarantang, J., Awwaliyah, A., Astuti, M., & Munawaroh, M. (2019). PERKEMBANGAN SISTEM PEMBAYARAN DIGITAL PADA ERA REVOLUSI INDUSTRI 4.0 DI INDONESIA. JURNAL AL-QARDH, 4(1), 60–75. https://doi.org/10.23971/jaq.v4i1.1442
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Wardhani, R. A., Arkeman, Y., & Ermawati, W. J. (2023). The Impact of Quick Response Adoption of Payment Code on MSMEs’ Financial Performance in Indonesia. International Journal of Social Service and Research, 3(3), 869–878. https://doi.org/10.46799/ijssr.v3i3.294
Wicaksono, S. (2022). Teori Dasar Technology Acceptance Model. https://doi.org/10.5281/zenodo.7754254
Widowati, N., & Khusaini, M. (2022). Adopsi Pembayaran Digital Qr Code Indonesian Standard Pada Umkm Berdasarkan Technology Acceptance Model (Studi Di Wilayah Malang Raya) [Universitas Brawijaya]. http://repository.ub.ac.id/id/eprint/191930
