Factors involved in adopting mobile banking for Sharia Banking Sector using UTAUT 2

Putri Dewi Yuliana, Atik Aprianingsih

Abstract


The technology development and covid 19 that hit in 2020 have triggered an increase in digital transactions in Indonesia in recent years. The condition of the Indonesian people, which is dominated by the productive age classified as digital savvy, further strengthens the opportunities and challenges for digital transformation in almost all industrial fields. This study was aimed at determining the important factors for consumers in behavioral intentions to adopt mobile banking. The model examining the factors in this study used constructs in the unified technology acceptance user technology (UTAUT) extension theory, UTAUT 2. The other constructs were perceived value for non-monetary value and perceived credibility, which was an additional construct to predict behavioral intentions. This study used a questionnaire involving 305 respondents randomly as a cross-generational sampling in Indonesia. Structural Equation Method (SEM) and smartPls 3.0 software were used to analyze the data. It was found that perceived value was the strongest predictor of an individual's behavioral intention to adopt mobile banking. Furthermore, performance expectancy, facilitating conditions, habit and perceived credibility (except effort expectancy, social influence and hedonic motivation) were also significant predictors of consumer behavioral intentions. This research is expected to shed insight into the adoption of mobile banking and can help the banking industry, in particular Sharia banking in Indonesia, in launching a strategy to increase market share through digitalization of banking, especially mobile banking services.

Keywords


Sharia banking; mobile banking; behavioral intention; mobile banking adoption; intention to open an online account; UTAUT 2

Full Text:

PDF

References


AbuShanab, E., & Pearson, J. M. (2007). Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Systems and Information Technology, 9(1), 78-97. http://dx.doi.org/10.1108/13287260710817700

Ahmed, Z., Kader, A., Ur Rashid, Md H., & Nurunnabi, M. (2017). User perception of mobile banking adoption: an integrated TTF-UTAUT model. Journal of Internet Banking and Commerce, 22(3). 1-19.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Lal, B. & Williams, M.D. (2015). Consumer adoption of internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20(2), 153-155. http://dx.doi.org/10.1057/fsm.2015.5

Anouze, A. L. M., & Alamro, A. S. (2020). Factors affecting intention to use e-banking in Jordan. The International Journal of Bank Marketing, 38 (1), 86-112. http://dx.doi.org/10.1108/IJBM-10-2018-0271

APJII. (2020). Laporan Survei Internet APJII.

Bank Indonesia. (2021, January 27). Laporan Perekonomian Indonesia Tahun 2020.

Bank Indonesia. (2021, March 31). LEKSI 2020: Bersinergi Membangun Ekonomi & Keuangan Syariah.

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

Brown, S. A. & Venkatesh, V. (2005). Model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 406.

Cabrera-Sánchez, J. P., Ramos-de-Luna, I., Carvajal-Trujillo, E., & Villarejo-Ramos, Á. F. (2020). Online Recommendation Systems: Factors Influencing Use in E-Commerce Sustainability, 12(21), 1-15. http://dx.doi.org/10.3390/su12218888

Chaouali, W., & Hedhli, K.E. (2019). Toward a contagion-based model of mobile banking adoption. The International Journal of Bank Marketing, 37(1), 69-96. http://dx.doi.org/10.1108/IJBM-05-2017-0096

Chen, Y. S., & Chang, C. H. (2012). Enhance green purchase intentions: The roles of green perceived value, green perceived risk, and green trust. Management Decision, 50(3), 505. http://dx.doi.org/10.1108/00251741211216250

Dasgupta, S., Paul, R., & Fuloria, S. (2011). Factors affecting behavioural intentions towards mobile banking usage: Empirical evidence from India. Romanian Journal of Marketing, (1), 22-23.

Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 320. https://doi.org/10.2307/ 249008.

Elhajjar, S., & Ouaida, F. (2019). An analysis of factors affecting mobile banking adoption. The International Journal of Bank Marketing, 38(2), 352-367. http://dx.doi.org/10.1108/IJBM-02-2019-0055

Farah, M. F., Hasni, M. J. S., & Abbas, A. K. (2018). Mobile-banking adoption: empirical evidence from the banking sector in Pakistan. The International Journal of Bank Marketing, 36(7), 1386-1413. http://dx.doi.org/10.1108/IJBM-10-2017-0215

Fedorko, I., Bačik, R., & Gavurova, B. (2021). Effort expectancy and social influence factors as main determinants of performance expectancy using electronic banking. Banks and Bank Systems, 16 2021(2), 27-37. http://dx.doi.org/10.21511/bbs.16(2).2021.03

Ghozali, I. (2014). Structural Equation Modeling, Metode Alternatif dengan Partial Least Square (Edisi Keempat). Semarang: Badan Penerbit Universitas Diponegoro.

Glavee-Geo, R., Shaikh, A. A., & Karjaluoto, H. (2017). Mobile banking services adoption in Pakistan: are there gender differences? The International Journal of Bank Marketing, 35(7), 1090-1114. http://dx.doi.org/10.1108/IJBM-09-2015-0142

Huang, Y. P. (2012). Diffusion Innovation, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Proceedings of the International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE), 7-8.

Huang, N., Wu, H., & Han, L. (2021). An Empirical Study on the factors affecting the Student’s Willingness to Use of Mobile Social E-commerce Based on UTAUT 2. IOP Conference Series. Earth and Environmental Science, 692(2), 1-7. http://dx.doi.org/10.1088/1755-1315/692/2/022046

Kaur, K., & Kumar, S. (2020). Technology acceptance model and social commerce sites usage: an impact of social influence and social capital. Academy of Marketing Studies Journal, 24(3), 1-20.

Kwateng, K. O., Atiemo, K. A. O., & Appiah, C. (2019). Acceptance and use of mobile banking: an application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118-151. http://dx.doi.org/10.1108/JEIM-03-2018-0055

Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly,31(4), 705.

Malhotra, N. K. (2010). Marketing Research an Applied Orientation (7th ed.). New Jersey, USA: Prentice Hall.

McGovern, P., Lambert, J., & Verrecchia, M. (2019). Mobile Banking Adoption: An exploration of the behavioural intention of consumers in Ireland. Journal of Accounting and Finance 19(8), 1-20. https://doi.org/10.33423/jaf.v19i8.2614

Mha, K. (2015): A mobile banking adoption model in the Jordanian market: An integration of tam with perceived risks and perceived benefits. Journal of Internet Banking and Commerce, 20(3), 1-36.

Moorthy, K., Ling, C. S., Fatt, Y. W., Yee, C. M., Yin, E.C.K., Yee, K.S. & Wei, L.K. (2017). Barriers of mobile commerce adoption intention: perceptions of generation X in Malaysia. Journal of Theoretical and Applied Electronic Commerce Research, 12(2), 37-53. http://dx.doi.org/10.4067/S0718-18762017000200004

Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., & Robres, E. (2019). User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2. Sustainability, 11(4). 1-25. http://dx.doi.org/10.3390/su11041210

Payne, E. M., Peltier, J. W., & Barger, V. A. (2018). Mobile banking and AI-enabled mobile banking: The differential effects of technological and non-technological factors on digital natives’ perceptions and behaviour. Journal of Research in Interactive Marketing, 12(3), 340-341. http://dx.doi.org/10.1108/JRIM-07-2018-0087

Purwanto, E., & Loisa, J. (2020). The Intention and Use Behaviour of the Mobile Banking System in indonesia: UTAUT Model. Technology Reports of Kansai University, 62(6), 2757-2767.

Rahi, S., & Abd Ghani, M. (2018) The role of UTAUT, DOI, perceived technology security and game elements in internet banking adoption. World Journal of Science, Technology and Sustainable Development, 15(4). 338-356. http://dx.doi.org/10.1108/WJSTSD-05-2018-0040

Rahi, S., Mansour, M. M. O., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 422-423. http://dx.doi.org/10.1108/JRIM-02-2018-0032

Raza, S. A., Shah, N., & Ali, M. (2019). Acceptance of mobile banking in Islamic banks: evidence from modified UTAUT model. Journal of Islamic Marketing, 10(1), 357-376. http://dx.doi.org/10.1108/JIMA-04-2017-0038

Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. The International Journal of Bank Marketing, 28(5), 328-341. http://dx.doi.org/10.1108/02652321011064872

Salimon, M. G., Yusoff, R. Z. B., Mohd Mokhtar, S. S. (2017). The mediating role of hedonic motivation on the relationship between adoption of e-banking and its determinants. The International Journal of Bank Marketing, 35(4), 558-582. http://dx.doi.org/10.1108/IJBM-05-2016-0060

Sarfaraz, J. (2017). Unified theory of acceptance and use of technology (UTAUT) model-mobile banking. Journal of Internet Banking and Commerce, 22(3), 1-20.

Savić, J., & Pešterac, A. (2019). Antecedents of mobile banking: utaut model. The European Journal of Applied Economics, 16(1), 20-29. https://doi.org/10.5937/ejae15-19381

Schiffman, L. G., & Wisenblit, J. L. (2015). Consumer Behaviour (8th ed.). Eleventh Edition. Harlow, England: Pearson Education.

Semiz, B. B., & Semiz, T. (2017). Examining consumer use of mobile health applications by the extended UTAUT model. Business & Management Studies: An International Journal, 9(1), 267-281. http://dx.doi.org/10.15295/bmij.v9i1.1773

Sripalawat, J., Thongmak, M., & Ngramyarn, A. (2011). M-banking in metropolitan bangkok and a comparison with other countries. The Journal of Computer Information Systems, 51 (3), 71-72.

Statistik, B.P. (2020, September). Jumlah Penduduk Menurut Kelompok Umur dan Jenis Kelamin.

Suhartanto, D. (2019). Predicting behavioural intention toward Islamic bank: a multi-group analysis approach. Journal of Islamic Marketing, 10(4), 1091-1103. http://dx.doi.org/10.1108/JIMA-02-2018-0041

Tai, Y. M., & Ku, Y. C. (2013). Will stock investors use mobile stock trading? A benefit-risk assessment based on a modified utaut model. Journal of Electronic Commerce Research, 14(1), 70.

Tak, P., & Panwar, S. (2017). Using UTAUT 2 model to predict mobile app based shopping: evidences from India. Journal of Indian Business Research, 9(3), 259. http://dx.doi.org/10.1108/JIBR-11-2016-0132

Tam, C., & Oliveira, T. (2017). Literature review of mobile banking and individual performance. The International Journal of Bank Marketing, 35(7), 1044-1067. http://dx.doi.org/10.1108/IJBM-09-2015-0143

The World Bank. (2021, June 30). Mobile cellular subscriptions.

The World Bank. (2021, June 30). Individuals using the Internet.

Venkatesh, V., Morris. M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 427-460. https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J.Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 6-33.

Wang, G., Novi, F., & Ahmad, N. F. (2017). Behavioral analysis of use personal service e-balance Indonesian social security. IOP Conference Series. Materials Science and Engineering. 237(1), 1-8. http://dx.doi.org/10.1088/1757-899X/237/1/012023

Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services. The Journal of Consumer Marketing. 27(3), 262-270. http://dx.doi.org/10.1108/07363761011038338

Yang, K., & Forney, J. C. (2013). The moderating role of consumer technology anxiety in mobile shopping adoption: Differential effects of facilitating conditions and social influences. Journal of Electronic Commerce Research,14(4), 336-337.

Yu, C. S. (2012). Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 108-117.




DOI: https://doi.org/10.26905/jkdp.v26i1.6858

Refbacks

  • There are currently no refbacks.




Jurnal Keuangan dan Perbankan (Journal of Finance and Banking)

Diploma Program of Banking and Finance, Faculty of Economics and Business, University of Merdeka Malang

Published by University of Merdeka Malang

Mailing Address:
2nd floor Finance and Banking Building, Jl. Terusan Raya Dieng No. 57 Malang, East Java, Indonesia
Phone: +62 813-3180-1534
Email: jkp@unmer.ac.id

This work is licensed under a Creative
Commons Attribution-ShareAlike 4.0