Exploring the Factors Influencing the Customers’Preference for Cashless Transactions: AnEmpirical Study on Dhaka End Users

Main Article Content

Ismat Ara Khatun
Sadman Kabir
Sajedur Rahman
Dr. Md. Nokir Uddin

Abstract

This study investigates the determinants of customer preferences for cashless transactions among Dhaka end users, with a focus on “Perceived Usefulness”,“Perceived Ease of Use”, “Perceived Trust”, and “Perceived Risk” as independent variables, and “Preference to Use” as the dependent variable. The research employed a quantitative approach, collecting primary data through questionnaires and supplementing it with secondary data from various sources. The importance of enhancing system functionality and usability was highlighted by key findings indicating "Perceived Usefulness" and "Perceived Ease of Use" strongly influenced customer preferences for cashless transactions. Even though "Perceived Trust" and "Perceived Risk" did not significantly correlate, addressing security issues and fostering trust are still crucial for long-term involvement. Drawing from previous studies, the report recommends strategies to simultaneously improve perceived usefulness and trust, streamline user experience for higher preference, and strengthen trust through visible security measures and user education. This study offers valuable insights for marketers and service providers to optimize cashless transaction systems and cater to the evolving preferences of Dhaka's urban consumers.

Article Details

Section

Original Article

How to Cite

Exploring the Factors Influencing the Customers’Preference for Cashless Transactions: AnEmpirical Study on Dhaka End Users. (2024). International Journal of Business, Arts and Scientific Study, 5(1), 68-88. https://doi.org/10.70818/ijbass.2024.v05i01.0057

References

• Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.

• Anderson, J. C., & Gerbing, D. W. (1991). Predicting the performance of measures in a confirmatory factor analysis with a pretest assessment of their substantive validities. Journal of Applied Psychology, 76(5), 732-740.

• Cho, S., & Kim, S. (2012). Impact of trust on Korean consumers' decision-making process in online apparel shopping. International Journal of Consumer Studies, 36(5), 523-529.

• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388

• Gao, L., & Bai, X. (2014). Perceived risk and consumer decision-making: A double- edged sword in the context of green products. Management Decision, 52(1), 45-62.

• Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: Experiments in e-Products and e-Services. Omega, 32(6), 407-424.

• Hair, J. F., Jr., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.

• Kim, D. J., Ferrin, D. L., & Rao, H. R. (2009). Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration. Information Systems Research, 20(2), 237-257.

• 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.

• Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the technology acceptance model: The influence of perceived user resources. The DATA BASE for Advances in Information Systems, 32(3), 86-112.

• Teo, T. S., & Yu, K. L. (2005). Perceived critical mass effect on groupware acceptance. European Journal of Information Systems, 14(4), 366-373Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.