Ana Diana Domuta – Department of Marketing and International Business, Oskar Morgenstern Platz 1, 1090 Vienna, Austria

Christine Strauss – Department of Marketing and International Business, Oskar Morgenstern Platz 1, 1090 Vienna, Austria

Keywords:
Mobile banking;
UTAUT;
Technology acceptance;
Trust;
Risk

DOI: https://doi.org/10.31410/LIMEN.S.P.2023.151

Abstract:Β The global surge in mobile banking, accelerated also by the COVΒ­ID-19 pandemic, has heightened competition in the banking sector, emphaΒ­sizing the need to understand mobile banking adoption across countries. However, cross-cultural research in this field appears to be limited, especialΒ­ly in Austria and Romania. This study uses the Unified Theory of Adoption and Use of Technology (UTAUT) to investigate factors influencing mobile banking acceptance in both countries. Data was collected from 425 particΒ­ipants in Austria and Romania. The results of the hierarchical multiple reΒ­gression analysis highlight that performance expectancy is the primary preΒ­dictor of mobile banking acceptance. Effort expectancy, facilitating condiΒ­tions, and trust show varied effects across countries. The findings suggest fiΒ­nancial institutions should prioritize performance, risk, and social approval in marketing mobile banking in both countries, with an additional focus on trust in Austria and ease of use in Romania.

 

Download file

LIMEN Conference

9th International Scientific-Business Conference – LIMEN 2023 – Leadership, Innovation, Management and Economics: Integrated Politics of Research – SELECTED PAPERS, Hybrid (Graz University of Technology, Graz, Austria), December 7, 2023

LIMEN Selected papers published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia

LIMEN Conference 2023 Selected papers: ISBN 978-86-80194-79-0, ISSN 2683-6149, DOI: https://doi.org/10.31410/LIMEN.S.P.2023

Creative Commons NonΒ Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.Β 

Suggested citation

DomuΘ›a, A. D., & Strauss, C. (2023). Mobile Banking Acceptance in Austria and Romania: An Empirical Study. In V. Bevanda (Ed.), International Scientific-Business Conference – LIMEN 2023: Vol 9. Selected papers (pp. 151-162). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/LIMEN.S.P.2023.151

References

Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R. e, Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. a. (2022). Continued Intention to Use of M-Banking in Jordan by InΒ­tegrating UTAUT, TPB, TAM and Service Quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 120. https://doi.org/10.3390/joitmc8030120

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of moΒ­bile banking by Jordanian bank customers: Extending UTAUT2 with trust. InternaΒ­tional Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j. ijinfomgt.2017.01.002

Al Tarawneh, M. A., Nguyen, T. P. L., Yong, D. G. F., & Dorasamy, M. A. P. (2023). DetermiΒ­nant of M-Banking Usage and Adoption among Millennials. Sustainability, 15(10), 8216. https://doi.org/10.3390/su15108216

Baltrusaitis, J. (2023). Digital banking app downloads surged 54% in 2022 exceeding 26 million. FinΒ­bold. Retrieved from https://finbold.com/digital-banking-app-downloads-2022-statistics/

Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acΒ­ceptance 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

Chan, R., Troshani, I., Rao Hill, S., & Hoffmann, A. (2022). Towards an understanding of conΒ­sumers’ FinTech adoption: the case of Open Banking. International Journal of Bank MarΒ­keting, 40(4), 886-917. https://doi.org/10.1108/ijbm-08-2021-0397

Chong, A. Y.-L., Chan, F. T. S., & Ooi, K.-B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34-43. https://doi.org/10.1016/j.dss.2011.12.001

Chu, X., Luo, X. R., & Chen, Y. (2019). A systematic review on cross-cultural information sysΒ­tems research: Evidence from the last decade. Information & Management, 56(3), 403-417. https://doi.org/10.1016/j.im.2018.08.001

The Culture Factor Group. (2024). Country comparison tool. Retrieved from https://www.hofΒ­stede-insights.com/country-comparison-tool

Deloitte. (2022). Digital Banking Maturity 2022. Closing the Gap to Fully Digital User ExΒ­perience in Banking. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/xe/Documents/technology/me_digital-banking-maturity-2022.pdfΒ 

Dilger, T., Bernardi, S., Ploder, C., Spieß, T., & Bernsteiner, R. (2023). Cash in the Trash? An Austrian Perspective on Mobile Payment Adoption. KnE Social Sciences. https://doi.org/10.18502/kss.v8i1.12657 

Domuta, A. D., & Strauss, C. (2024). Mobile Banking Behaviour of Austrians and Romanians – The Role of Espoused Cultural Values. In Proceedings of the 2nd International Workshop on SoΒ­cial Communication and Information Activity in Digital Humanities (SCIA 2023), 140–154.

Elhajjar, S., & Ouaida, F. (2020). An analysis of factors affecting mobile banking adopΒ­tion. International Journal of Bank Marketing, 38(2), 352–367. https://doi.org/10.1108/IJBM-02-2019-0055Β 

European Commission. (2022). The Digital Economy and Society Index (DESI) | Shaping EuΒ­rope’s digital future. Retrieved from https://digital-strategy.ec.europa.eu/en/policies/desiΒ 

Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facΒ­ets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. https://doi.org/10.1016/s1071-5819(03)00111-3Β Β 

Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. https://doi.org/10.1016/s0305-0483(00)00021-9Β 

Ha, K.-H., Canedoli, A., Baur, A. W., & Bick, M. (2012). Mobile banking β€” insights on its inΒ­creasing relevance and most common drivers of adoption. Electronic Markets, 22(4), 217- 227. https://doi.org/10.1007/s12525-012-0107-1Β 

Hanif, Y., & Lallie, H. S. (2021). Security factors on the intention to use mobile banking appliΒ­cations in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM – with perceived cyber security, risk, and trust. Technology in Society, 67, 101693. https://doi.org/10.1016/j.techsoc.2021.101693Β 

Hassan, H. E., & Wood, V. R. (2020). Does country culture influence consumers’ perceptions toward mobile banking? A comparison between Egypt and the United States. Telematics and Informatics, 46, 101312. https://doi.org/10.1016/j.tele.2019.101312

Ho, J. C., Wu, C.-G., Lee, C.-S., & Pham, T.-T. T. (2020). Factors affecting the behavioral inΒ­tention to adopt mobile banking: An international comparison. Technology in Society, 63, 101360. https://doi.org/10.1016/j.techsoc.2020.101360Β 

Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in the moΒ­bile banking literature: The moderating role of sample size and culture. Journal of BusiΒ­ness Research, 132, 354-372. https://doi.org/10.1016/j.jbusres.2021.04.052Β 

Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usΒ­age intentions of mobile banking. Information Systems Journal, 19(3), 283-311. https://doi.org/10.1111/j.1365-2575.2007.00269.xΒ Β 

Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar serΒ­vice innovations: The case of the Internet and mobile banking. Journal of Business ReΒ­search, 69(7), 2432-2439. https://doi.org/10.1016/j.jbusres.2016.01.013Β 

Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006Β 

Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. InformaΒ­tion & Management, 48(8), 393-403. https://doi.org/10.1016/j.im.2011.09.006Β 

Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891. https://doi.org/10.1016/j.chb.2004.03.003Β Β 

Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-facetΒ­ed risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222-234. https://doi.org/10.1016/j.dss.2010.02.008Β 

Majumdar, S., & Pujari, V. (2022). Exploring usage of mobile banking apps in the UAE: a categorical regression analysis. Journal of Financial Services Marketing, 27(3), 177-189. https://doi.org/10.1057/s41264-021-00112-1Β 

Malaquias, R. F., & Silva, A. F. (2020). Understanding the use of mobile banking in rural areas of Brazil. Technology in Society, 62, 101260. https://doi.org/10.1016/j.techsoc.2020.101260Β 

Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An Integrative Model of OrganizationΒ­al Trust. The Academy of Management Review, 20(3), 709. https://doi.org/10.2307/258792Β 

Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use moΒ­bile banking between Lebanese and British consumers: Extending UTAUT2 with seΒ­curity, privacy and trust. Technology in Society, 59, 101151. https://doi.org/10.1016/j.techsoc.2019.101151Β Β 

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.2.3.192Β 

Picoto, W. N., & Pinto, I. (2021). Cultural impact on mobile banking use – A multi-methΒ­od approach. Journal of Business Research, 124, 620-628. https://doi.org/10.1016/j.jbusres.2020.10.024Β Β 

Reiting, P., Mladenow, A., Strauss, C., & Kotsis, G. (2020). Drivers and influencing factors in mobile payment acceptance. Proceedings of the 10th Euro-American Conference on TeleΒ­matics and Information Systems. https://doi.org/10.1145/3401895.3402073Β 

Samartha, V., Shenoy Basthikar, S., Hawaldar, I. T., Spulbar, C., Birau, R., & Filip, R. D. (2022). A Study on the Acceptance of Mobile-Banking Applications in Indiaβ€”Unified Theory of Acceptance and Sustainable Use of Technology Model (UTAUT). Sustainability, 14(21), 14506. https://doi.org/10.3390/su142114506

Saprikis, V., Avlogiaris, G., & Katarachia, A. (2022). A Comparative Study of Users versus Non-Users’ Behavioral Intention towards M-Banking Apps’ Adoption. Information, 13(1), 30. https://doi.org/10.3390/info13010030Β 

Shankar, A., Jebarajakirthy, C., & Ashaduzzaman, M. (2020). How do electronic word of mouth practices contribute to mobile banking adoption? Journal of Retailing and Consumer SerΒ­vices, 52, 101920. https://doi.org/10.1016/j.jretconser.2019.101920Β 

Sharma, S. K., & Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International JourΒ­nal of Information Management, 44, 65-75. https://doi.org/10.1016/j.ijinfomgt.2018.09.013Β 

Thusi, P., & Maduku, D. K. (2020). South African millennials’ acceptance and use of retail moΒ­bile banking apps: An integrated perspective. Computers in Human Behavior, 111, 106405. https://doi.org/10.1016/j.chb.2020.106405Β 

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.46.2.186.11926Β Β 

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of InΒ­formation Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540Β 

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/10.2307/41410412Β 

Yu, C.-S. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the utaut model. Journal of Electronic Commerce Research, 13, 104–121.

Zhang, Y., Weng, Q., & Zhu, N. (2018). The relationships between electronic banking adoption and its antecedents: A meta-analytic study of the role of national culture. International JourΒ­nal of Information Management, 40, 76-87. https://doi.org/10.1016/j.ijinfomgt.2018.01.015Β 

Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013Β 

 

Connect with us

Association of Economists and Managers of the Balkans – UdEkoM Balkan
13/2 Dzona Kenedija St, 11070 Belgrade, Republic of Serbia

https://www.udekom.org.rs

Udekom Balkans isΒ a dynamic non-governmental and non-profit organization, established in 2014 with a mission to foster the growth of scientific knowledge within the Balkan region and beyond. Our primary objectives include advancing the fields of management and economics, as well as providing educational resources to our members and the wider public.

Who We Are: Our members include esteemed university professors from various scientific disciplines, postgraduate students, and experts from ministries, public administrations, private and public enterprises, multinational corporations, associations, and similar organizations.

Building Bridges Together: Over the course of ten years since our establishment, the Association of Economists and Managers of the Balkans has established impactful partnerships with more than 1,000 diverse institutions across the Balkans region and worldwide.

Stay up-to-date with our latest achievements, events, and insights by subscribing to our newsletterΒ  Β  Β  Β 

We don’t spam. Read ourΒ privacy policyΒ for more information.

LIMEN conference publications are licensed under aΒ Creative Commons Attribution-NonCommercial 4.0 International License.