Exploring Intention to Adopt Mobile Banking Amongst Indian Youth
Authors
- Renu AggarwalYMCA, Faridabad, India
- Monica BhardwajFortune Institute of International Business, New Delhi, India.
Keywords
Banking, Mobile Banking, Adoption, India, Youth
Abstract
The purpose of the present study is to investigate the major factors that influence the intention to adopt mobile banking. It explores the adoption factors using technology acceptance (TAM) and diffusion of innovation (DIT) theory. Major focus of the study is on the young consumer group that is more likely to adopt mobile banking. Analysis of the study is based on responses from college students in the national capital territory (NCT) of Delhi. Data is analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results indicate that constructs viz., perceived usefulness (PU), perceived ease of use (PEOU), compatibility; trust and attitude are significant factors to be considered for determination of intention to adoption mobile banking. The study includes implications for researchers and practitioners in terms of identifying the key indicators of adoption of emerging technologies pertaining to mobile banking. It forms a base for future research to predict technology adoption in the context of developing countries.
References
- Akturan, U. and Tezcan, N. (2012) âMobile banking adoption of the youth market: Perceptions and intentionsâ, Marketing Intelligence and Planning, 30:4, pp. 444-459. Chen, C. (2013) âPerceived risk, usage frequency of mobile banking servicesâ, Managing Service Quality, 23:5, pp. 410-436.
- Chiu, C. M., Lin, H. Y., Sun, S. Y., and Hsu, M. H. (2009) âUnderstanding customersâ loyalty intentions towards online shopping: an integration of technology acceptance model and fairÂŹness theoryâ, Behaviour and Information Technology, 28:4, pp. 347-360.
- Conway, J. M. and Huffcutt, A. I. (2003) âA review and evaluation of exploratory factor analysis practices in organizational researchâ, Organizational Research Methods, 6:2, pp.147-168.
- Crabbe, M., Standing, C., Standing, S. and Karjaluoto, H. (2009) âAn adoption model for mobile banking in Ghanaâ, International Journal of Mobile Communications, 7:5, pp. 515-543.
- Cruz, P., Neto, L. B. F., Muñoz-Gallego, P. and Laukkanen, T. (2010) âMobile banking rollout in emerging markets: evidence from Brazilâ, International Journal of Bank Marketing, 28:5,pp 342-371.
- Davis, F. D. (1989) âPerceived usefulness, perceived ease of use, and user acceptance of informaÂŹtion technologyâ, MIS Quarterly, 13:3, pp. 319-340.
- Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989) âUser acceptance of computer technology: A comparison of two theoretical modelsâ, Management Science, 35:8, pp. 982-1003.
- Fornell, C. and Larcker, D.F. (1981) âEvaluating structural equation models with unobservable variables and measurement errorâ, Journal of Marketing Research, 18:1, pp. 39-50.
- Gu, J. C., Lee, S. C. and Suh, Y. H. (2009) ââDeterminants of behavioral intention to mobile banking.â, Expert Systems with Applicationsâ, 36:9, pp. 11605-11616.
- Hsu, C. L., and Lu, H. P. (2004) âWhy do people play on-line games? An extended TAM with social influences and flow experienceâ, Information & Management, 41:7, pp. 853-868.
- Karjaluoto, H., Mattila, M. and Pento, T. (2002) âFactors underlying attitude formation towards online banking in Finlandâ, International Journal of Bank Marketing, 20:6, pp 261-272.
- King, W.R. and He, J. (2006) âA meta-analysis of the technology acceptance modelâ, Information & Managementâ, 43:6, pp. 740â755.
- Koenig-Lewis, N., Palmer, A. and Moll, A. (2010) âPredicting young consumersâ take up of moÂŹbile banking servicesâ, International Journal of Bank Marketing, 28:5, pp. 410-432.
- Legris, P. Ingham, J. and Collerette, P. (2003) âWhy do people use information technology? A critical review of the technology acceptance modelâ, Information & Management, 40:3, pp.191â204.
- Lin, H. F. (2011) âAn empirical investigation of mobile banking adoption: the effect of innovation attributes and knowledge-based trustâ, International Journal of Information Management, 31:3, pp. 252-260.
- Lin, H. F. (2013) âDetermining the relative importance of mobile banking quality factorsâ, Com-puter Standards & Interfaces, 35:2, pp. 195-204.
- Luarn, P. and Lin, H. H. (2005) âToward an understanding of the behavioral intention to use mobile bankingâ, Computers in Human Behavior, 21:6, pp. 873-891.
- Luo, X., Li, H., Zhang, J. and Shim, J. P. (2010) âExamining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking servicesâ, Decision Support Systems, 49:2, pp. 222-234.
- Mallat, N., Rossi, M., Tuunainen, V. K. and Oorni, A. (2006) âThe impact of use situation and mobility on the acceptance of mobile ticketing servicesâ, System Sciences,. HICSSâ06. ProÂŹceedings of the 39th Annual Hawaii International Conference on (Vol. 2, pp. 42b-42b). IEEE.
- Mathieson, K. (1991) âPredicting user intentions: comparing the technology acceptance model with the theory of planned behaviorâ, Information Systems Research, 2:3, pp. 173-191.
- Mukherjee, A. and Nath, P. (2003) âA model of trust in online relationship bankingâ, International Journal of Bank Marketing, 21:1, pp. 5-15.
- Mukherjee, A. and Nath, P. (2007) âRole of electronic trust in online retailing: a re-examination of the commitment-trust theoryâ, European Journal of Marketing, 41:9-10, pp. 1173-1202
- Riquelme, H. E. and Rios, R. E. (2010) âThe moderating effect of gender in the adoption of mobile bankingâ, International Journal of Bank Marketing, 28:5, pp. 328-341.
- Sulaiman, A., Jaafar, N. I. and Mohezar, S. (2007) âAn overview of mobile banking adoption among the urban communityâ, International Journal of Mobile Communications, 5:2, pp 157-168.
- Taylor, S. and Todd, P. (1995) âDecomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentionsâ, International Journal of Research in Marketing, 12:2, pp. 137-155.
- Venkatesh, V. (1999) âCreation of favorable user perceptions: exploring the role of intrinsic moti-vationâ, MIS quarterly, 23:2, pp 239-260.
- Venkatesh, V. and Davis, F. D. (1996) â A model of the antecedents of perceived ease of use: De-velopment and testâ, Decision sciences, 27:3,pp 451-481.
- Venkatesh, V. and Davis, F. D. (2000) âA theoretical extension of the technology acceptance modÂŹel: four longitudinal field studiesâ, Management science, 46:2, pp 186-204.
- Zhou, T. (2011) âAn empirical examination of initial trust in mobile banking.â, Internet Research, 21:5, pp. 527-540.
How to Cite
Renu Aggarwal, Monica Bhardwaj. Exploring Intention to Adopt Mobile Banking Amongst Indian Youth.
J.Technol. Manag. Grow. Econ.. 2014, 05, 33-47