A Study of Factors Influencing Customers’ Adoption of Mobile Banking in Oman
DOI:
https://doi.org/10.14738/assrj.95.12121Keywords:
Mobile Banking, Customers, Adoption, Online Banking, Ease of Use, Observability, Intention, Oman.Abstract
The commercial banking sector in Oman is a dynamic sector with a large number of banking service users. However, the customers’ adoption of technology in terms of online banking and mobile banking remains less due to the various socio-demographic factors. Given the cost and operational benefits of mobile banking, there is a need to understand how commercial banks can motivate non-mobile banking users to adopt mobile banking in this context. Thus, the current study is conducted with a view to understand customers’ adoption of mobile banking using the Perceived Characteristics of Innovation model. The data is collected from the commercial bank account holders who are non-users of mobile banking (n=80). The key findings are that perceived ease of use (β=.487, P<.05); and observability (β=.530, P<.05) positively and significantly influence customers intention to use mobile banking; whereas, relative advantage (β=-.068, P>.05); compatibility (β=-.413, P>.05); and trialabiltiy (β=.371, P>.05) exert insignificant influence on customers intention to use mobile banking. Based on these findings, it can be concluded that perceived ease of use and observability are key factors which commercial banks need to focus to encourage customers to adopt mobile banking.
References
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, New Jersey: Prentice-Hall.
Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory. Journal of Electronic Commerce Research, 13(4), 379-391.
Barnes, S. J., & Corbitt, B. J. (2003). Mobile banking: Concept and potential. IJMC, 1(3), 273–288.
Bartlett, J., Kotrlik, J.W., & Higging, C.C. (2001). Organizational Research: Determining Appropriate Sample Size in Survey Research. Information Technology, Learning, and Performance Journal, 19(1).
Carmi, G., & Drezner, N. J. (2019). Adoption of mobile banking. International Conferences ICT, Society, and Human Beings 2019;
Changchun, G., Haider, M. J., & Akram, T. (2017). Investigation of the effects of task technology fit, attitude and trust on intention to adopt mobile banking: Placing the mediating role of trialability. International Business Research, 10(4), 77-91. URL: http://dx.doi.org/10.14738/assrj.95.12121 9
Cyr, D., Head, M., & Ivanov, A. (2009). Perceived interactivity leading to e-loyalty: development of a model for cognitive-affective user responses. International Journal of Human-Computer Studies, 67(10), 850-869.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quarterly, 13(3), 319–340. doi:10.2307/24900
Deloitte, G. S. M. A. (2012). What is the impact of mobile telephony on economic growth? A report for the G.S.M. Association
Elsaleh, I. (2020). An analysis of mobile banking adoption by Lebanese customers.
Glavee-Geo, R., Shaikh, A. A., & Karjaluoto, H. (2017). Mobile banking services adoption in Pakistan: Are there gender differences? International Journal of Bank Marketing, 35(7), 1088–1112. doi:10.1108/IJBM-09-2015-0142
Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62–78.
Imtiyaz, A.S. & Molla, A. (2004). Adoption and Use ofmz Internet Banking in the Sultanate of Oman: An Exploratory Study. Journal of Internet Banking and Commerce. 9.
Iskandar, M., Hartoyo, H., & Hermadi, I. (2020). Analysis of Factors Affecting Behavioral Intention and Use of Behavioral of Mobile Banking Using Unified Theory of Acceptance and Use of Technology 2 Model Approach. International Review of Management and Marketing, 10(2), 41.
Karjaluoto, H., Laukkanen, T., & Kiviniemi, V. (2010). The role of information in mobile banking resistance. International Journal of Bank Marketing, 28(5), 372–388
Koenig-Lewis, N., Palmer, A., Moll, A. (2010). Predicting young consumers’ take up of mobile banking services. International Journal of Bank Marketing, 28(5), 410-432.
Lin, H. F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252–260.
Mäenpää, K., Kale, S. H., Kuusela, H., & Mesiranta, N. (2008). Consumer perceptions of Internet banking in Finland: The moderating role of familiarity. Journal of Retailing and Consumer Services, 15(4), 266-276.
Makanyeza, C. (2017). Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing, 35(6), 997-1017. https://doi.org/10.1108/IJBM-07-2016-0099
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.
Munoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing-ESIC, 21(1), 25–38.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Explaining intention to use mobile chat services: Moderating effects of gender. Journal of Consumer Marketing, 22(5), 247–256. doi:10.1108/07363760510611671
Odumeru, J. A. (2013). Going cashless: Adoption of mobile banking in Nigeria. Nigerian Chapter of Arabian Journal of Business and Management Review, 62(1085), 1-9.
Owusu, G. M. Y., Bekoe, R. A., Addo-Yobo, A. A., & Otieku, J. (2021). Mobile banking adoption among the Ghanaian youth. Journal of African Business, 22(3), 339-360.
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 behavior. Journal of Research in Interactive Marketing.
Rogers, E. (2003). Diffusion of Innovations, New York, Free Press.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons. 10
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142.
Sharma, S.K., Govindaluri, S.M., Al-Muharrami, S. and Tarhini, A. (2017). A multi-analytical model for mobile banking adoption: a developing country perspective. Review of International Business and Strategy, 27(1), 133-148. https://doi.org/10.1108/RIBS-11-2016-0074
Sitorus, H. M., Govindaraju, R., Wiratmadja, I. I., & Sudirman, I. (2019). Examining the role of usability, compatibility and social influence in mobile banking adoption in Indonesia. International Journal of Technology, 10(2), 351-362.
Sulthana, N. (2018). Adoption of mobile banking in Oman.
Tan, M., & Teo, T.S.H. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information System, 1(5), 1-42
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(5), 501-519.
Wu, H. Y., Lin, C. C., Li, O., & Lin, H. H. (2010). A study of bank customers’ perceived usefulness of adopting online banking. Global Journal of Business Research, 4(3), 101-108.
Yu, C.S., & Lo, Y. F. (2007). Factors encouraging people to adopt online banking and discouraging adopters to use online banking services. Proceeding of the Conference on Business and Information. Tokyo, Japan: International Conference on Business and Information.
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