QRIS Adoption by MSMEs in the UTAUT Perspective

  • wahyuningsih wahyuningsih Universitas Garut
  • Alam Avrianto Universitas Garut
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Keywords: SMEs, UTAUT, QRIS adoption, Financial Literacy


Abstract– In Indonesia, QRIS is presently a payment system that is gaining popularity. However, there are still a number of obstacles in the way of MSMEs using QRIS as a payment method. The purpose of this study is to use the UTAUT and TAM constructs to more thoroughly investigate the factors that influence MSMEs in the Garut Regency to adopt QRIS. Utilising a quantitative methodology, this investigation. The variables in this research consist of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), User Attitude (UA), adoption of QRIS (Adopt), and Financial Literacy (FL). The research results show that the factors that encourage increased financial literacy in MSMEs include Performance Expectancy, Social Influence, and User Attitude. Meanwhile, the factors that encourage the adoption of QRIS by MSMEs are Social Influence, User Attitude, and Financial Literacy.


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B. Badan Pusat Statistik, “DATA PDB Nasional,” 2021.

R. Ridwan, S. Abdullah, and F. Yusmita, “Implementation of Cashless Policy Strategies To Minimize Fraud in the Government Sector: Systemic Review,” J. Akunt., vol. 12, no. 3, pp. 181–201, 2022, doi: 10.33369/jakuntansi.12.3.181-201.

K. K. Kementerian Koperasi dan UKM Republik Indonesia, “Data UMKM Pengguna QRIS. Data Internal.” 2021.

G. A. F. Maulani and N. A. Hamdani, “Perencanaan Strategis Sistem Informasi pada Perguruan Tinggi Swasta di Indonesia ( Studi Kasus pada Institut Pendidikan Indonesia Garut ),” J. PETIK, vol. 4, no. September, pp. 162–166, 2018, doi: https://doi.org/10.31980/jpetik.v4i2.367.

E. Susanto, I. Solikin, and B. S. Purnomo, “a Review of Digital Payment Adoption in Asia,” Adv. Int. J. Business, Entrep. SMEs, vol. 4, no. 11, pp. 01–15, 2022, doi: 10.35631/aijbes.411001.

M. Rouidi, A. E. Elouadi, A. Hamdoune, K. Choujtani, and A. Chati, “TAM-UTAUT and the acceptance of remote healthcare technologies by healthcare professionals: A systematic review,” Informatics Med. Unlocked, vol. 32, no. June, p. 101008, 2022, doi: 10.1016/j.imu.2022.101008.

S. Singh, M. M. Sahni, and R. K. Kovid, “What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model,” Manag. Decis., vol. 58, no. 8, pp. 1675–1697, 2020, doi: 10.1108/MD-09-2019-1318.

E. A. Firmansyah, M. Masri, M. Anshari, and M. H. A. Besar, “Factors Affecting Fintech Adoption: A Systematic Literature Review,” FinTech, vol. 2, no. 1, pp. 21–33, 2022, doi: 10.3390/fintech2010002.

P. K. Chopdar, “Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator,” Heal. Policy Technol., vol. 11, no. 3, p. 100651, 2022, doi: 10.1016/j.hlpt.2022.100651.

W. H. Bommer, S. Rana, and E. Milevoj, “A meta-analysis of eWallet adoption using the UTAUT model,” Int. J. Bank Mark., vol. 40, no. 4, pp. 791–819, 2022, doi: 10.1108/IJBM-06-2021-0258.

A. F. Alkhwaldi, E. E. Alharasis, M. Shehadeh, I. A. Abu-AlSondos, M. S. Oudat, and A. A. Bani Atta, “Towards an Understanding of FinTech Users’ Adoption: Intention and e-Loyalty Post-COVID-19 from a Developing Country Perspective,” Sustain., vol. 14, pp. 1–23, 2022, doi: 10.3390/su141912616.

B. Setiawan, D. P. Nugraha, A. Irawan, R. J. Nathan, and Z. Zoltan, “User innovativeness and fintech adoption in indonesia,” J. Open Innov. Technol. Mark. Complex., vol. 7, no. 3, 2021, doi: 10.3390/joitmc7030188.

Fred D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of IT,” MIS Q., vol. 13, no. 3, pp. 319–340, 1989.

V. Venkatesh and F. D. Davis, “Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies,” Manage. Sci., vol. 46, no. 2, pp. 186–204, 2000, doi: 10.1287/mnsc.

M. M. Black, “Idiopathic Pigmentation of the Upper Back,” Arch. Dermatol., vol. 110, no. 3, pp. 463–464, 1974, doi: 10.1001/archderm.1974.01630090089029.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS Q. Manag. Inf. Syst., vol. 27, no. 3, pp. 425–478, 2003, doi: 10.2307/30036540.

R. Chan, I. Troshani, S. Rao Hill, and A. Hoffmann, “Towards an understanding of consumers’ FinTech adoption: the case of Open Banking,” Int. J. Bank Mark., vol. 40, no. 4, pp. 886–917, 2022, doi: 10.1108/IJBM-08-2021-0397.

A. D. Walle et al., “Intention to use wearable health devices and its predictors among diabetes mellitus patients in Amhara region referral hospitals, Ethiopia: Using modified UTAUT-2 model,” Informatics Med. Unlocked, vol. 36, no. December 2022, p. 101157, 2023, doi: 10.1016/j.imu.2022.101157.

A. Schmitz, A. M. Díaz-Martín, and M. J. Yagüe Guillén, “Modifying UTAUT2 for a cross-country comparison of telemedicine adoption,” Comput. Human Behav., vol. 130, no. January, 2022, doi: 10.1016/j.chb.2022.107183.

Vandana and H. P. Mathur, “Conceptual Development of Factors Driving Fintech Adoption by Farmers,” Purushartha, vol. 15, no. 1, pp. 39–50, 2022, doi: 10.21844/16202115103.

G. A. F. Maulani and N. A. Hamdani, Perencanaan Strategis Sistem Informasi Menggunakan Blue Ocean Strategy. Bandung: Penerbit widina, 2023. [Online]. Available: https://repository.penerbitwidina.com/publications/563016/perencanaan-strategis-sistem-informasi-menggunakan-blue-ocean-strategy

R. J. Nathan, B. Setiawan, and M. N. Quynh, “Fintech and Financial Health in Vietnam during the COVID-19 Pandemic: In-Depth Descriptive Analysis,” J. Risk Financ. Manag., vol. 15, no. 3, 2022, doi: 10.3390/jrfm15030125.

E. Kusmiati and V. Cahyani, “Analysis of Financial Literacy Factors for SMEs,” in Proceedings of International Conference on Sustainable Collaboration in Business , Technology, Information and Innovation (SCBTII), School of Economics and Business, Telkom University, 2022.

D. P. Nugraha, B. Setiawan, R. J. Nathan, and M. Fekete-Farkas, “Fintech Adoption Drivers for Innovation for SMEs in Indonesia,” J. Open Innov. Technol. Mark. Complex., vol. 8, no. 4, 2022, doi: 10.3390/joitmc8040208.

N. T. Matsepe and E. Van der Lingen, “Determinants of emerging technologies adoption in the South African financial sector,” South African J. Bus. Manag., vol. 53, no. 1, pp. 1–12, 2022, doi: 10.4102/sajbm.v53i1.2493.

B. J. Slazus and G. Bick, “Factors that Influence FinTech Adoption in South Africa: A Study of Consumer Behaviour towards Branchless Mobile Banking,” Athens J. Bus. Econ., vol. 8, no. 1, pp. 429–450, 2022, doi: 10.30958/ajbe.8-1-3.

B. Awwad, “FinTech Adoption in Palestine : Bank Customers’ Perspectives,” Int. J. E-bus. Res., vol. 19, no. 1, 2023, doi: 10.4018/IJEBR.318662.

J. W. Creswell, Research Design Qualitative, Quantitative, and Mixed Methods Approaches, 4th ed. United States of America: SAGE Publications Ltd., 2014.

Sugiyono., Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta, CV.

J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks. Thousand Oaks, CA, 2017.

william G. Cochran, Sampling Techniques, 3th ed. Wiley, New York, NY: Wiley, New York, NY, 1997.

J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” Eur. Bus. Rev., vol. 31, no. 1, pp. 2–24, 2019, doi: 10.1108/EBR-11-2018-0203.

S. Akter, S. Fosso Wamba, and S. Dewan, “Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality,” Prod. Plan. Control, vol. 28, no. 11–12, pp. 1011–1021, 2017, doi: 10.1080/09537287.2016.1267411.

M. I. Aguirre-Urreta and M. Rönkkö, “Statistical inference with PLSc using bootstrap confidence intervals1,” MIS Q. Manag. Inf. Syst., vol. 42, no. 3, pp. 1001–1020, 2018, doi: 10.25300/MISQ/2018/13587.

J. M. Becker, A. Rai, C. M. Ringle, and F. Völckner, “Discovering unobserved heterogeneity in structural equation models to avert validity threats,” MIS Q. Manag. Inf. Syst., vol. 37, no. 3, pp. 665–694, 2013, doi: 10.25300/MISQ/2013/37.3.01.

M. Bouteraa, B. Chekima, N. Lajuni, and A. Anwar, “Understanding Consumers’ Barriers to Using FinTech Services in the United Arab Emirates: Mixed-Methods Research Approach,” Sustain., vol. 15, 2023, doi: 10.3390/su15042931.

M. Zeebaree, M. Agoyi, and M. Aqel, “Sustainable Adoption of E-Government from the UTAUT Perspective,” Sustain., vol. 14, 2022, doi: 10.3390/su14095370.

M. F. Hamzah, T. M. T. A. Razak, C. K. H. C. K. Yahaya, Z. Shamsuddin, and S. N. A. Zahrin, “Adoption Factors of FinTech Products & Services in Islamic Banking Industry in Malaysia: A Literiture Review,” J. Posit. Sch. Psychol., vol. 6, no. 3, pp. 8883–8893, 2022.

How to Cite
wahyuningsih wahyuningsih and A. Avrianto, “QRIS Adoption by MSMEs in the UTAUT Perspective”, BIEJ, vol. 5, no. 4, pp. 258-266, Nov. 2023.