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Mobile Banking Adoption in a Developing Country Like India


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1 Symbiosis Centre for Management and Human Resource Development, Symbiosis International University, Symbiosis Infotech Campus, Pune, Maharashtra, India
     

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Mobile banking, or banks providing banking services through mobile phones, has received a positive response since its launch. However, the penetration of Mobile Banking is still low because of several reasons. In this study, the different factors that affect the adoption of Mobile Banking services have been analyzed. Behaviour of 120 customers, who use different mobile banking services, was studied to ascertain, what motivates/discourages them to use mobile banking services. The output of Exploratory Factor Analysis was taken as an input to Hypothesis Testing using Multiple regression. The study revealed that Perceived usefulness, Perceived Relative advantage, Perceived risk, Social impact and Perceived cost impact the adoption of mobile banking in India. From a practical implication point of view, this study can encourage banks and prompt them to take necessary care while implementing mobile banking, because mobile banking adoption parameters has an impact on adoption of the technology. Based on this result, banks will have to make an extra effort to ensure that they design a mobile banking platform that is free from errors and electronic threats and portrays usefulness and relative advantage of using the technology.

Keywords

Mobile Banking, Perceived Usefulness, Relative Advantage, Perceived Risk, Social Impact, Perceived Cost, India.
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  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
  • Sathye, M. (1999). Adoption of internet banking by Australian consumers: An empirical investigation. International Journal of Bank Marketing, 17(7), 324-334.
  • Rogers, E. (2003). Diffusion of innovations, New York, Free Press.
  • Poon, W. C. (2008). Users’ adoption of e-banking services: The Malaysian perspective. Journal of Business and Industrial Marketing, 23(1), 59-69.
  • Park, Y., & Chen, J. (2007). Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems, 107(9), 1349-1365.
  • Chen, L. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52.
  • Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-29.
  • Rogers, E. M. (2002). Diffusion of preventive innovations. Addictive Behaviours, 27(6), 989-993.
  • Karahana, E., & Limayem, M. (2000). E-mail and v-mail usage: Generalising across technologies. Journal of Organizational Computing and Electronic Commerce, 10(1), 49-66.
  • Kleijnen, M., Wetzels, M., & de Ruyter, K. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206-17.
  • 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, 2010.
  • Kleijnen, M., Wetzels, M., & Ruyter, K. D. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206-17.
  • Sohail, M. S., & Shanmugham, B. (2003). E-banking and customer preferences in Malaysia: An empirical investigation. Information sciences, 150(3), 207-217.
  • Pousttchi, K., & Schurig, M. (2004, January). Assessment of today’s mobile banking applications from the view of customer requirements. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on (pp. 10-pp). IEEE.
  • Moutinho, L., & Smith, A. (2000). Modelling bank customer satisfaction through mediation of attitudes towards human and automated banking. International Journal of Bank Marketing, 18(3), 124-134.
  • Barnes, S. J., & Corbitt, B. (2003). Mobile banking: concept and potential. International Journal of Mobile Communications, 1(3), 273-288.
  • Gressgard, L. J., & Stensaker, I. (2006). The mobile service industry: Strategic challenges and future business models. International Journal of Mobile Communications, 4(5), 509-531.
  • Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311.
  • Pedersen, P. E., & Ling, R. (2002). Mobile end-user service adoption studies: A selective review. Scandinavian Journal of Information Systems, 14(1), 3-17.
  • Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5-14.
  • Gewald, H., Wüllenweber, K., & Weitzel, T. (2006). The influence of perceived risks on banking managers’ intention to outsource business processes: A study of the German banking and finance industry. Journal of Electronic Commerce Research, 7(2), 78.
  • 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.
  • 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.
  • 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.
  • 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.
  • Hair, J. F. (2010). Multivariate data analysis. Pearson College Division.

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  • Mobile Banking Adoption in a Developing Country Like India

Abstract Views: 392  |  PDF Views: 2

Authors

Aradhana Gandhi
Symbiosis Centre for Management and Human Resource Development, Symbiosis International University, Symbiosis Infotech Campus, Pune, Maharashtra, India
Pratima Sheorey
Symbiosis Centre for Management and Human Resource Development, Symbiosis International University, Symbiosis Infotech Campus, Pune, Maharashtra, India

Abstract


Mobile banking, or banks providing banking services through mobile phones, has received a positive response since its launch. However, the penetration of Mobile Banking is still low because of several reasons. In this study, the different factors that affect the adoption of Mobile Banking services have been analyzed. Behaviour of 120 customers, who use different mobile banking services, was studied to ascertain, what motivates/discourages them to use mobile banking services. The output of Exploratory Factor Analysis was taken as an input to Hypothesis Testing using Multiple regression. The study revealed that Perceived usefulness, Perceived Relative advantage, Perceived risk, Social impact and Perceived cost impact the adoption of mobile banking in India. From a practical implication point of view, this study can encourage banks and prompt them to take necessary care while implementing mobile banking, because mobile banking adoption parameters has an impact on adoption of the technology. Based on this result, banks will have to make an extra effort to ensure that they design a mobile banking platform that is free from errors and electronic threats and portrays usefulness and relative advantage of using the technology.

Keywords


Mobile Banking, Perceived Usefulness, Relative Advantage, Perceived Risk, Social Impact, Perceived Cost, India.

References