Adoption of Mobile Banking Services in Croatia: A Unified Theory of Acceptance and Use of Technology (UTAUT) Perspective
By: Dragan Benazić, Matko Biuk and Marko Paliaga
References
- Abegão Neto, F. L., & Figueiredo, J. C. B. de. (2023). Effects of age and income moderation on adoption of mobile payments in Brazil. Innovation & Management Review, 20(4), 353–364. https://doi.org/10.1108/INMR-06-2021-0109
- Ahmed, Z., Kader, A., Rashid, H. U., & Nurunnabi, M. (2017). User perception of mobile banking adoption: An integrated TTF-UTAUT model. Journal of Internet Banking and Commerce, 22(3), 1–19.
- Ajzen, I. (1991). The Theory of Planned Behavior. Organization Behavior and Human Decision Processes, Academic Press, Inc., Cambridge, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
- Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence & Planning, 30(4), 444–459. https://doi.org/10.1108/02634501211231928
- Alawadhi, S. & Morris, A. (2008). The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait. Proceedings of the 41st Hawaii International Conference on System Sciences, 219. 10.1109/HICSS.2008.452.
- Albashrawi, M., Kartal, H., Oztekin, A., & Motiwalla, L. (2019). Self-Reported and Computer-Recorded Experience in Mobile Banking: A Multi-Phase Path Analytic Approach. Inf. Syst. Front., 21, 773-790.
- Al Mashagba, F.F. & Nassar, M.O. (2012). Modified UTAUT Model to Study the Factors Affecting the Adoption of Mobile Banking in Jordan. International Journal of Sciences: Basic and Applied Research (IJSBAR), 6(1), 83–94.
- Ashique Ali, K.A. & Subramanian, R. (2022). Current Status of Research on Mobile Banking: An Analysis of Literature. Vision: The Journal of Business Perspective, 28, 097226292110732. 10.1177/09722629211073268.
- Antonijević, M., Ivanović, Đ., & Simović, V. (2021). Adoption of Mobile Banking in the Republic of Serbia. U Finance, Innovation and Technology: new models and structures (str. 76-95). Institute of Economics - Ss. Cyril & Methodius University, Skopje. ISBN 978-608-4519-23-2.
- Apau, R., Titis, E., & Lallie, H. S. (2025). Towards a Better Understanding of Mobile Banking App Adoption and Use: Integrating Security, Risk, and Trust into UTAUT2. Computers, 14(4), 144. https://doi.org/10.3390/computers14040144
- Armansyah, R. F. (2021). Herd behavior in using mobile payment with unified theory of acceptance and use of technology (utaut2). Jurnal Manajemen Dan Kewirausahaan, 23(2), 111-128. https://doi.org/10.9744/jmk.23.2.111-128
- 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. https://doi.org/10.1016/j.ijinfomgt.2018.09.002.
- Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430. https://doi.org/10.1016/j.chb.2015.04.024.
- Baig, A. (2019). Factors of Mobile Banking Adoption in Mozambique: A study for Barclays Bank Mozambique.
- Bayaga, A. & du Plessis, A. (2023). Ramifications of the Unified Theory of Acceptance and Use of Technology (UTAUT) among developing countries’ higher education staffs. Education and Information Technology, 29, 9689–9714 (2024). https://doi.org/10.1007/s10639-023-12194-6
- Balakrishnan, V. & Shuib, N. (2021). Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia. Technology in Society, 65, 101554. 10.1016/j.techsoc.2021.101554.
- Bhatiasevi, V. (2015). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32. 10.1177/0266666915570764.
- Carlsson, C., Carlsson, J., Hyvönen, K., Puhakainen, J., & Walden, P. (2006). Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT. Proceedings of the Annual Hawaii International Conference on System Sciences, 6, 132a-132a. 10.1109/HICSS.2006.38.
- Chandran, R. (2014). Pros and cons of Mobile banking. International Journal of Scientific and Research Publications, 4(10). ISSN 2250-3153.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
- Crabbe, M., Standing, C., Standing, S., & Karjaluoto, H. (2009). An adoption model for mobile banking in Ghana. IJMC, 7, 515-543. 10.1504/IJMC.2009.024391.
- Dash, M., Bhusan, P.B., & Samal, S. (2014). Determinants of customers’ adoption of mobile banking: An empirical study by integrating diffusion of innovation with attitude. Journal of Internet Banking and Commerce, 19, 1-21.
- Davis, F., Bagozzi, R., & Warshaw, P. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35, 982-1003. 10.1287/mnsc.35.8.982.
- Dendrinos, K., Spais, G. (2024) An investigation of selected UTAUT constructs and consumption values of Gen Z and Gen X for mobile banking services and behavioral intentions to facilitate the adoption of mobile apps. J Market Anal 12, 492–522.https://doi.org/10.1057/s41270-023-00271-1
- Dwivedi, Y.K., Rana, P.R., Jeyaraj, A., Clement, M., & Williams, M.D. (2019). Re-examing the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Inf. Syst. Front., 21, 719-734.
- Etikan, İ. (2016). Comparision of snowball sampling and sequential sampling technique. Biometrics & Biostatistics International Journal, 3(1). https://doi.org/10.15406/bbij.2016.03.00055
- Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18, 382-388. http://dx.doi.org/10.2307/3150980
- García de Blanes Sebastián, M., Sarmiento Guede, J.R., & Antonovica, A. (2022). Tam versus utaut models: a contrasting study of scholarly production and its bibliometric analysis. TECHNO review, 11(Monográfico):1-27. doi: 10.37467/revtechno.v11.4445
- Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services: A comparative analysis of four competing theoretical models. International Journal of Bank Marketing, 37(5), 1165–1189. https://doi.org/10.1108/IJBM-08-2018-0200
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage. https://doi.org/10.1007/978-3-030-80519-7.
- Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12. https://doi.org/10.1016/j.lrp.2013.01.001
- Hilal, A. & Varela-Neira, C. (2022). Understanding Consumer Adoption of Mobile Banking: Extending the UTAUT2 Model with Proactive Personality. Sustainability, 14(22), 14708. https://doi.org/10.3390/su142214708.
- Islam, M. S., Karia, N., Khaleel, M., Fauzi, F. B. A., Soliman, M. S. M., Khalid, J., Bhuiyan, M. Y. A., & Mamun, M. A. A. (2019). Intention to adopt mobile banking in Bangladesh: An empirical study of an emerging economy. International Journal of Business Information Systems, 31(1), 1–22. https://doi.org/10.1504/IJBIS.2019.10020838
- Jafri, J. A., Amin, S. I. M., Abdul-Rahman, A., Nor, S. M., & Fachrudin, K. A. (2024). Determinants of consumers’ intention to use mobile banking in malaysia: the moderating role of education. Malaysian Journal of Consumer and Family Economics, 32(1), 550-573. https://doi.org/10.60016/majcafe.v32.21
- Jaradat, M.I. & Twaissi, N. (2010). Assessing the Introduction of Mobile Banking in Jordan Using Technology Acceptance Model. International Journal of Interactive Mobile Technologies (iJIM), 4. 10.3991/ijim.v4i1.1057.
- Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218. https://doi.org/10.1086/376806sociates.
- Kim, G., Shin, B., & Lee, G.H. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Inf. Syst. J., 19, 283-311. 10.1111/j.1365-2575.2007.00269.x.
- Kumar, R., Singh, R., Kumar, K., Khan, S., & Corvello, V. (2023). How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India. Sustainability, 15(5), 4053. https://doi.org/10.3390/su15054053
- Lazarevic, J. & Vasić, A. (2019). Antecedents of mobile banking: UTAUT model. The European Journal of Applied Economics, 16, 20-29. 10.5937/EJAE15-19381.
- Le, H. B. H., Ngo, C. T., Trinh, T. T. H., & Nguyen, T. T. P. (2020). Factors affecting customers’ decision to use mobile banking service: A case of Thanh Hoa Province, Vietnam. The Journal of Asian Finance, Economics and Business, 7(2), 205–212. https://doi.org/10.13106/JAFEB.2020.VOL7.NO2.205
- Luarn, P. & Lin, H.H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21, 873-891. 10.1016/j.chb.2004.03.003.
- Lukić, V., Čolić, L., & Prica, I. (2019). Perspectives and adoption of mobile banking in Serbia: The case of young adults. Ekonomika preduzeća, 67, 334-344. https://doi.org/10.5937/EKOPRE1906334L.
- 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. 10.1016/j.techsoc.2019.101151.
- Marikyan, D.& Papagiannidis, S. (2025) Unified Theory of Acceptance and Use of Technology: A review. In S. Papagiannidis (Ed), TheoryHub Book. Available at https://open.ncl.ac.uk/ (Accessed: 11.9.2025)
- Mohammadi, H. (2015). A study of mobile banking loyalty in Iran. Computers in Human Behavior, 44, 35-47. https://doi.org/10.1016/j.chb.2014.11.015.
- Mukarromah, L. & Setyono, J. (2024). Mobile banking adoption: development of the unified theory of acceptance and use of technology 2 (utaut 2) on BSI customers in Riau province. Journal Bisnis Strategi, 33(2), 158-172. https://doi.org/10.14710/jbs.33.2.158-172
- Nguyen, X.H., Nguyen, H.D., Le, B.T.H., Tran, T.T.M., & Nguyen, T.M.P. (2023). Factors Affecting Mobile Payment Adoption: A Systematic Literature Review and Some Future Research Directions. International Journal of Research and Review, 10(4). E-ISSN: 2349-9788; P-ISSN: 2454-2237.
- Ntsiful, A., Kwarteng, M.A., Jibril, A.B., Popesko, B., Pilik, M. (2020). Factors Driving the Adoption of Mobile Banking App: An Empirical Assessment in the Less Digitalized Economy. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds) Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020. IFIP Advances in Information and Communication Technology, vol 618. Springer, Cham. https://doi.org/10.1007/978-3-030-64861-9_11
- Nur, T. & Panggabean, R. R. (2021). Factors influencing the adoption of mobile payment method among generation z: the extended utaut approach. Journal of Accounting Research, Organization and Economics, 4(1), 14-28. https://doi.org/10.24815/jaroe.v4i1.19644
- Orehovački, T., Blašković, L., & Kurevija, M. (2023). Evaluating the Perceived Quality of Mobile Banking Applications in Croatia: An Empirical Study. Future Internet, 15, 1-8.
- Oliveira, T., Faria, M., Thomas, M., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34, 689–703. 10.1016/j.ijinfomgt.2014.06.004.
- Purohit, S., Kaur, J., & Chaturvedi, S. (2022). Mobile payment adoption among youth: generation z and developing country perspective. Journal of Content Community and Communication, (8), 194-209. https://doi.org/10.31620/jccc.06.22/14
- Rachmawati, I., Bukhori, M., Majidah, Y., Hidayatullah, S., & Waris, A. (2020). Analysis Of Use Of Mobile Banking With Acceptance And Use Of Technology (UTAUT). International Journal of Scientific & Technology Research, 9, 534-540.
- Rahi, S., Ghani, M., Alnaser, F., & Ngah, A. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 8, 173-186. 10.5267/j.msl.2018.1.001.
- Rahman, M., Yee, H. P., Masud, M. A. K., & Uzir, M. U. H. (2024). Examining the dynamics of mobile banking app adoption during the COVID-19 pandemic: A digital shift in the crisis. Digital Business, 4(1), 100088. https://doi.org/10.1016/j.digbus.2024.100088
- Lopez-Rodríguez, C., & Cardozo-Munar, C. (2023). Current global overview of perceptions of mobile banking usage: a bibliometric analysis and systematic literature review. Journal of Internet Banking and Commerce, 15, 395-409.
- Saxena, N., Gera, N., & Taneja, M. (2023). Factors influencing mobile banking adoption in india: the role of government support as a mediator. The Electronic Journal of Information Systems in Developing Countries, 89(6). https://doi.org/10.1002/isd2.12287
- Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 103315. https://doi.org/10.1016/J.JBI.2019.103315
- Shaikh, A. & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32, 129-142.
- Statista. (2024). Share of online/mobile banking users in 56 countries & territories worldwide. https://www.statista.com/forecasts/1452621/share-of-online-mobile-banking-users-in-selected-countries-worldwide (Preuzeto 1.10.2024).
- Sharma, S. (2024). Examining impact of perceived utility, ease of use, credibility, self efficacy and financial cost on behavioral intention to use mobile banking. International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/irjmets52976
- Shetu, S., Islam, M.M., Tuhin, M., Hoque, M., & Hassan, M. (2024). Continuance Usage Intention of Mobile Financial Services in Bangladesh during the COVID-19 Pandemic and Beyond: An Empirical Study. International Journal of Business Technology, 14, 263-282. 10.58915/ijbt. v14i3.776.
- Sulistyowati, W.A., Alrajawy, I., Isaac, O. & Ameen, A. (2021). Mobile Banking Adoption—Extending Technology Acceptance Model with Transaction Convenience and Perceived Risk: A Conceptual Framework. In: Peng, SL., Hsieh, SY., Gopalakrishnan, S., Duraisamy, B. (eds) Intelligent Computing and Innovation on Data Science. Lecture Notes in Networks and Systems, vol 248. Springer, Singapore. https://doi.org/10.1007/978-981-16-3153-5_25
- Tan, M., Mohd Ashhari, Z., & Hirnissa, M.T. (2021). The Application of UTAUT Theory to Determine Factors Influencing Malaysian Adoption Mobile Banking. International Journal of Academic Research in Business and Social Sciences, 11. 10.6007/IJARBSS/v11-i1/8448.
- Tan, E. &Lau, J. L. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18-31. https://doi.org/10.1108/yc-07-2015-00537.
- Tamilmani K., Rana N. P., Fosso Wamba, S. & Dwivedi, R . (2021). The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): Asystematic literature review and theory evaluation. International Journal of Information Management. 57: 102269. https://doi.org/10.1016/j.ijinfomgt.2020.102269
- Varma, A. (2018). Mobile Banking Choices of Entrepreneurs: A Unified Theory of Acceptance and Use of Technology (UTAUT) Perspective. Theoretical Economics Letters, 8(14).
- Venkatesh, V. & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186-204. 10.1287/mnsc.46.2.186.11926.
- Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425-478. 10.2307/30036540.
- Vlašić, G., Keleminić, K., & Šubić, R. (2022). Understanding drivers of consumer loyalty in the banking industry: A comparative study of generation Z individuals exhibiting high vs. low financial literacy. Management: Journal of Contemporary Management Issues, 27(1). https://doi.org/10.30924/mjcmi.27.1.12.
- Wadie, N., Ibrahim, S., & Hasaballah, A.H. (2015). The moderating effect of situational factors and key factors influencing mobile banking adoption. International Journal of Management and Economics Invention, 1, 452-464. 10.12816/0011900.
- Wang, Y.S., Wang, Y.M., Lin, H.H., & Tang, T.I. (2003). Determinants of User Acceptance of Internet Banking: An Empirical Study. International Journal of Service Industry Management, 14, 501-519. 10.1108/09564230310500192.
- Wu, J.H. & Wang, S.C. (2005). What Drives Mobile Commerce?: An Empirical Evaluation of the Revised Technology Acceptance Model. Information & Management, 42, 719-729. 10.1016/j. im.2004.07.001.
- Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26, 760-767. 10.1016/j.chb.2010.01.013.
- Hrvatska narodna banka (2023), https://www.hnb.hr/-/mobitel-sve-vise-postaje-prvi-izbor-pri-odabiru-uredaja-za-iniciranje-elektronickih-transakcija
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Published on: Jun 6, 2026
Published by: University of Zagreb, Faculty of Economics & Business
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© 2026 Dragan Benazić, Matko Biuk, Marko Paliaga, published by University of Zagreb, Faculty of Economics & Business
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