Understanding and Predicting Behavioral Intention to Adopt Mobile Banking
Tóm tắt
Although mobile banking provides cost-saving opportunities as well as convenient banking experience for customers, today's banks still face challenges when deploying the technology because a good number of customers are reluctant to use mobile banking for personal reasons. This article is an empirical investigation of the determinants of the intention to use mobile banking services. The determinants are grouped into two categories including personal factors and social influence factors. The authors conducted an empirical analysis using 751 survey responses collected from present users of mobile banking services. The results of the analysis reveal that all the personal factors have positive relationships with the intention to use mobile banking services. On the other hand, it was found that of the social influence factors, perceived herding behavior has a significantly positive relationship with the intention to use mobile banking services, whereas subjective norm is not significantly related to the intention. The authors provide practical as well as academic implications of the research findings.
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Tài liệu tham khảo
I.Ajzen, 1980, Understanding attitudes and predicting social behavior
A.Bandura, 1986, Social Foundations of Thoughts and Action: A Social Cognitive Theory
A.Bandura, 1997, Self-Efficacy: The Exercise of Control
Colman, A. M. (Ed.). (2014) Oxford Dictionary of Psychology (4th ed.). New York: Oxford University Press.
Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information System: Theory and Results [Doctoral Dissertation]. MIT.
F. D.Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology., Management Information Systems Quarterly, 13, 319, 10.2307/249008
Dineshwar, R., & Steven, M. (2013, February 25 - 26). An Investigation on Mobile Banking Adoption and Usage: A Case Study of Mauritius. Paper presented at the3rd Asia-Pacific Business Research Conference, Kuala Lumpur, Malaysia.
M.Fishbein, 1975, Belief, attitude, intention and behavior: an introduction to theory and research
J. F.Hair, 2006, Multivariate Data Analysis
Juniper Research. (2018). Retail Banking: Digital Transformation & Disruptor Opportunities 2018-2022. Retrieved from http://www.business-standard.com/article/specials/digital-banking-users-to-reach-2-billion-this-year-says-juniper-research-118022801299_1.html
Nunnally, J. C., & Bernstein, I. (1994). Psychometric Theory (3rd ed.). New York: McGraw-Hill.
E. M.Rogers, 1995, Definition of Innovation
V. L.Saga, 1994, The Nature and Determinants of IT Acceptance, Routinization and Infusion
V.Swaminathan, 1999, Browsers or Buyers in Cyberspace? An Investigation of Factors Influencing Electronic Exchange., Journal of Computer-Mediated Communication, 5, 10.1111/j.1083-6101.1999.tb00335.x
G.Zaltman, 1973, Innovation and Organizations