Journal Press India^®

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The study aims to examine the factors influencing mobile banking adoption behaviour in Bangladesh. A structured questionnaire had been formed and circulated among 150 mobile banking service users from different banks in Dhaka city. Primary data are collected by convenience sampling method. Four hypotheses are proposed and tested by multiple regression analysis. The findings reveal that performance expectancy, effort expectancy, and social influence are the most substantial predictors in determining individual intention to adopt mobile banking in Bangladesh. It is also shown that performance expectancy is the leading predictor among the three substantial predictors. Moreover, facilitating conditions do not demonstrate to have any significant impact on mobile banking intention. The study can help bank marketers highlight the different value propositions of mobile banking such as effortless, time-saving banking methods which will attract people. This will enhance productivity as well as create positive word of mouth regarding mobile banking services.

Keywords

Performance expectancy; Effort expectancy; Social influence; Facilitating conditions; Mobile banking; Bangladesh.

1. Abbas, S. K., Hassan, H. A., Asif, J., Junaid, H. M., & Zainab, F. (2018). What are the key determinants of mobile banking Adoption in Pakistan? International Journal of Scientific & Engineering Research, 9(2), 841-848.
2. Alam, M. M. (2014). Factors affecting consumers’ adoption of mobile banking in Bangladesh: an empirical study. TNI Journal of Business Administration and Languages, 2(2), 31-37.
3. Amin, H., Hamid, M. R. A., Lada, S., & Anis, Z. (2008). The adoption of mobile banking in Malaysia: The case of Bank Islam Malaysia Berhad (BIMB). International Journal of Business and Society, 9(2), 43.
4. Anckar, B., & D'incau, D. (2002). Value creation in mobile commerce: Findings from a consumer survey. Journal of Information Technology Theory and Application (JITTA), 4(1), 8.
5. Angelia, A., Panjaitan, E. S., & Yunis, R. (2021). Effect of attitude on mobile banking acceptance using extended UTAUT model. Jurnal Mantik, 5(2), 1006-1013.
6. Azad, M. A. K. (2016). Predicting mobile banking adoption in Bangladesh: A neural network approach. Transnational Corporations Review, 8(3), 207-214.
7. Bangladesh Bank (2021). Mobile financial services. Retrieved from https://www.bb.org.bd/fnansys/paymentsys/mfsdata.php.
8. Barnes, S. J., & Corbitt, B. (2003). Mobile banking: Concept and potential. International Journal of Mobile Communications, 1(3), 273-288.
9. Bhatiasevi, V. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799-814.
10. BTRC (2021). Internet subscribers in Bangladesh. Retrieved from http://www.btrc.gov.bd/content/internet-subscribers-bangladesh-june-2021/
11. BTRC (2021). Mobile phone subscribers in Bangladesh. Retrieved from http://www.btrc.gov.bd/content/mobile-phone-subscribers-bangladesh-june-2021/
12. Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209-218.
13. Elkhodr, M., Shahrestani, S., & Kourouche, K. (2012). A proposal to improve the security of mobile banking applications. In 2012 Tenth International Conference on ICT and Knowledge Engineering (pp. 260-265). IEEE.
14. Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: an application of UTAUT model. International Journal of Business and Management, 6(4), 161-167.
15. GSMA. (2018). Country overview: Bangladesh mobile industry driving growth and enabling digital inclusion. Retrieved from https://data.gsmaintelligence.com/api-web/v2/research-file-download?id=30933394&file=Country%20overview%20 Bangladesh.pdf/
16. Hasan, M. T. (2020). M-banking: The transaction revolution in Bangladesh. Science Research, 8(4), 98-107.
17. Hong, S. J., Thong, J. Y., Moon, J. Y., & Tam, K. Y. (2008). Understanding the behavior of mobile data services consumers. Information Systems Frontiers, 10(4), 431-445.
18. Islam, M. M., & Hossain, M. E. (2014). Consumers’ attitudes towards mobile banking in Bangladesh. In The Second International Conference on E-Technologies and Business on the Web (EBW2014) (pp. 31-45).
19. Islam, M. S., Karia, N., Khaleel, M., Fauzi, F. B. A., Soliman, M. S. M., Khalid, J., & Mamun, M. A. A. (2019). Intention to adopt mobile banking in Bangladesh: An empirical study of emerging economy. International Journal of Business Information Systems, 31(1), 136-151.
20. 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.
21. Liza, F. Y. (2014). Factors influencing the adoption of mobile banking: Perspective Bangladesh. Global Disclosure of Economics and Business, 3(2), 199-220.
22. 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.
23. Malaquias, R. F., & Hwang, Y. (2016). An empirical study on trust in mobile banking: A developing country perspective. Computers in Human Behavior, 54, 453-461.
24. Malhotra, N. K.,& Dash, S.(2011). Marketing Research: An Applied Orientation, 6th ed., Pearson: Delhi.
25. Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
26. Mishra, V., & Bisht, S. S. (2013). Mobile banking in a developing economy: A customer-centric model for policy formulation. Telecommunications Policy, 37(6-7), 503-514.
27. Morosan, C., & DeFranco, A. (2016). It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17-29.
28. Nasri, W. (2021). Acceptance of internet banking in Tunisian Banks: Evidence from modified UTAUT model. International Journal of E-Business Research (IJEBR), 17(3), 22-41.
29. Nunally, J. C. (1978). Psychometric Theory (2nd ed.). New York: McGraw Hill.
30. Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703.
31. 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(06), 2757-2767.
32. Rahi, S., Ghani, M., & Ngah, A. (2018). A structural equation model for evaluating user’s intention to adopt internet banking and intention to recommend technology. Accounting, 4(4), 139-152.
33. Rahi, S., Mansour, M. M. O., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context. Journal of Research in Interactive Marketing, 13(3), 411-435.
34. Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing, 28(5), 328-41.
35. 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.
36. Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142.
37. Sharma, S. K., Govindaluri, S. M., Al-Muharrami, S., & Tarhini, A. (2017). A multi-analytical model for mobile banking adoption: A developing country perspective. Review of International Business and Strategy, 27(10), 133-148.
38. Suoranta, M., & Mattila, M. (2004). Mobile banking and consumer behaviour: New insights into the diffusion pattern. Journal of Financial Services Marketing, 8(4), 354-366.
39. Susilowati, A. (2021). Effects of UTAUT 2 model on the use of BCA mobile banking in Indonesia. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(3), 5378-5387.
40. Tam, C., & Oliveira, T. (2016). Understanding the impact of M-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior, 61, 233-244.
41. Tosuntaş, Ş. B., Karadağ, E., & Orhan, S. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology. Computers & Education, 81, 169-178.
42. Trinh, T., Le, H., & Nguyen, N. (2020). Factors affecting private customers in adopting mobile banking in Vietnam. Management Science Letters, 10(12), 2769-2780.
43. Vaidya, S. R. (2011). Emerging trends on functional utilization of mobile banking in developed markets in next 3-4 Years. International Review of Business Research Papers, 7(1), 301-312.
44. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
45. 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.
46. Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-376.
47. Widyanto, H. A., Kusumawardani, K. A., & Yohanes, H. (2021). Safety first: Extending UTAUT to better predict mobile payment adoption by incorporating perceived security, perceived risk and trust. Journal of Science and Technology Policy Management, (Ahead of print).
48. Yang, A. S. (2009). Exploring adoption difficulties in mobile banking services. Canadian Journal of Administrative Sciences, 26(2), 136-149.
49. Yu, C. S. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2), 104-121.
50. 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.
51. Zikmund, W. G., Babin, B. J.,Carr, J. C., Adhikari. A., & Griffin, M. (2007). Business Research Method: South Asian Perspective, (8th ed.). Cengage Learing India Pvt.Ltd.