Mobile Banking in Motion: An Analytical Study of Consumer Behavior in Porbandar District
Dr. Abhishek Abhani
Shree Swaminarayan Institute of Management & IT, Gujarat, India
DOI – http://doi.org/10.37502/IJSMR.2025.81003
Abstract
This study investigates the multidimensional nature of consumer behaviour towards mobile banking services and its influence on the intention to adopt such platforms. Employing a structured questionnaire, data were collected from a representative sample of banking customers and analysed using Exploratory Factor Analysis (EFA) and Ordinary Least Squares (OLS) multiple regression. EFA revealed seven distinct behavioural dimensions—perceived ease of use, perceived economy, perceived efficiency, perceived security, perceived assurance, perceived trust, and perceived support—demonstrating strong construct validity and reliability. The subsequent regression model exhibited high explanatory power, indicating that these dimensions collectively account for a substantial proportion of the variance in consumers’ intention to use mobile banking. All dimensions exerted a statistically significant and positive influence, with perceived trust, support, and efficiency emerging as particularly impactful. The findings underscore the critical role of enhancing these behavioural determinants to foster adoption, retention, and deeper engagement with mobile banking services.
Keywords: Mobile Banking Adoption, Consumer Behaviour, Perceived Trust, Digital Financial Services, Technology Acceptance.
References
- Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence & Planning.
- Alafeef, M., Singh, D., & Ahmad, K. (2011). Influence of demographic factors on the adoption level of mobile banking applications in Jordan. Research Journal of Applied Sciences, 6(6), 373-377.
- Amin, H., Ghazali, M., & Supinah, R. (2010). Determinants of Qardhul Hassan financing acceptance among Malaysian bank customers: An empirical analysis. International Journal of Business and Society, 11(1), 1.
- Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: predictors of adoption in South Africa—an exploratory study. International journal of information management, 23(5), 381-394.
- Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
- Cruz, P., Neto, L. B. F., Muñoz‐Gallego, P., & Laukkanen, T. (2010). Mobile banking rollout in emerging markets: evidence from Brazil. International Journal of bank marketing.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
- Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Information systems research, 13(3), 316-333.
- Donner, J., & Tellez, C. A. (2008). Mobile banking and economic development: Linking adoption, impact, and use. Asian journal of communication, 18(4), 318-332.
- Dunphy, S., & Herbig, P. A. (1995). Acceptance of innovations: the customer is the key!. The Journal of High Technology Management Research, 6(2), 193-209.
- Fain, D., & Roberts, M. L. (1997). Technology vs. consumer behavior: the battle for the financial services customer. Journal of Direct Marketing, 11(1), 44-54.
- Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.
- Gerrard, P., Cunningham, J. B., & Devlin, J. F. (2006). Why consumers are not using internet banking: a qualitative study. Journal of services Marketing.
- Hair Jr, J., Page, M., & Brunsveld, N. (2019). Essentials of business research methods. Routledge.
- Harma, M. K., & Dubey, R. (2009, April). Prospects of technological advancements in banking sector using mobile banking and position of India. In 2009 International Association of Computer Science and Information Technology-Spring Conference(pp. 291-295). IEEE.
- Ivatury, G., & Mas, I. (2008). The early experience with branchless banking. CGAP Focus Note, (46).
- Kaur, S., & Arora, S. (2021). Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator. Journal of Asia Business Studies, 15(1), 1-30.
- Kay, R. H. (1993). An exploration of theoretical and practical foundations for assessing attitudes toward computers: The computer attitude measure (CAM). Computers in human behavior, 9(4), 371-386.
- Kline, R. (2013). Exploratory and confirmatory factor analysis. In Applied quantitative analysis in education and the social sciences(pp. 171-207). Routledge.
- Kuisma, T., Laukkanen, T., & Hiltunen, M. (2007). Mapping the reasons for resistance to Internet banking: A means-end approach. International journal of information management, 27(2), 75-85.
- Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean’s model perspective. Interacting with computers, 21(5-6), 385-392.
- Lee, M. K., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of electronic commerce, 6(1), 75-91.
- 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.
- Masrek, M.N., Omar, N., Uzir, N.A., Khairuddin, I.E., 2012. The impact of technology trust on mobile banking utilization. Sci. Ser. Data Rep. 4 (12), 27–36.
- Mattila, M., Karjaluoto, H., & Pento, T. (2003). Internet banking adoption among mature customers: early majority or laggards?. Journal of services marketing.
- Omarini, A. (2022). The changing landscape of retail banking and the future of digital banking. In The Future of Financial Systems in the Digital Age: Perspectives from Europe and Japan(pp. 133-158). Singapore: Springer Singapore.
- Pallant, J. (2010). SPSS Survival Manual, The McGraw-Hill
- Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: the marketing problem and its solutions. Journal of consumer marketing, 6(2), 5-14.
- REDDY, S. (2018). Announcement of payment banks and stock performance of commercial banks in India. Journal of Internet Banking and Commerce, 23(1) , 1-12.
- Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and informatics, 32(1), 129-142.
- Srivastava, R. K., Singh, S., & Srivastava, V. (2013). The role of trust and technology acceptance model (TAM) on customer acceptance of mobile banking: an integrated model to improve mobile banking in banking sector-a conceptual paper. International Journal of Asian Business and Information Management (IJABIM), 4(1), 31-43.
- Turban, E., King, D., Viehland, D., & Lee, J. (2006). Electronic commerce 2006: A managerial perspective. New Jersey: Pearson Education.
Laukkanen, T., & Lauronen, J. (2005). Consumer value creation in mobile banking services. International journal of mobile Communications, 3(4), 325-338. - 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, 157-178.
- Wang, Y. S., Lin, H. H., & Luarn, P. (2006). Predicting consumer intention to use mobile service. Information systems journal, 16(2), 157-179.
- Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.
- Wu, J., & Liu, D. (2007). The effects of trust and enjoyment on intention to play online games. Journal of electronic commerce research, 8(2).
- Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 21(5), 527-540.