A Quantitative Study on the Factors Affecting the Adoption of the Online-Banking in China
Abstract
From the review, this section has managed to show that previous literature supports the TAM model of technological acceptance which indicates that the adoption of new technologies is largely dependent on the customers’ perceived ease of use, perceived usefulness, prior computer experience and past consumption as well as the increased convenience. More so, consumers’ previous experience with other related technologies has been found to relate positively with the adoption of online banking.
Keywords
Full Text:
PDFReferences
Aldas-Manzano J., Lassala-Navarre C., Ruiz-Mafe C. and Sanz-Blas S, (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1), pp.53-75.
Afshan S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370-387.
Al-Jabri IM. and Sohail, MS., (2012). Mobile banking adoption: Application of diffusion of innovation theory. Journal of Electronic Commerce Research, 13(4), pp.379-391.
Arndt S, Clavenger J. & Meiskey L. (2012). Students ’ attitudes towards computers. Computers and the Social Sciences, 1, 181-190.
Cardon PW, & Marshall BA. (2008). National culture and technology acceptance: The impact of uncertainty avoidance. Issues in Information Systems, 9(2), 103-110.
Chaouali W, Yahia IB. and 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, pp.209-218.
Eriksson K, Kerem K. and Nilsson D, (2015). Customer acceptance of internet banking in Estonia. International Journal of Bank Marketing, 23(2), pp.200-216.
Gerrard P, Barton Cunningham, J, & Devlin JF. (2014). Why consumers are not using internet banking: a qualitative study., Journal of Services Marketing,20(3),160-168.
Hanafizadeh P, Keating BW, & Khedmatgozar HR. (2014). A systematic review of Internet banking adoption., Telematics and informatics, 31(3), pp. 492-510.
Hua G. (2014). An experimental investigation of online banking adoption in China. AMCIS (2008) Proceedings, 36(2), 34-45.
Harris M, Cox KC, Musgrove CF and Ernstberger KW, (2016). Consumer preferences for banking technologies by age groups. International Journal of Bank Marketing, 34(4).
Howard C. (2013).Strategic Adoption of Technological Innovations. New York: IGI Global.
Jahangir N. and Begum N, (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2(2), p.32.
Karjaluoto H, Mattila M. and Pento T, (2013). Factors underlying attitude formation towards online banking in Finland. International Journal of Bank Marketing, 20(6), pp.261-272.
Kesharwani, A., & Radhakrishna, G. (2013). Drivers and Inhibitors of Internet Banking Adoption in India, Journal of Internet Banking and Commerce, 18(3), 1-18.
Lee EJ, Kwon KN, & Schumann DW. (2014). Segmenting the non-adopter category in the diffusion of internet banking, ’ International Journal of Bank Marketing,23(5), pp. 414-437.
Lai LS, & To WM. (2015). The emergence of China in the Internet market, ’ IT professional, 2(3), 6-9.
Laforet S. and Li, X., (2015). Consumers' attitudes towards online and mobile banking in China. International journal of bank marketing, 23(5), pp.362-380.
Montazemi AR, & Qahri-Saremi H. (2015). Factors affecting adoption of online banking: A meta-analytic structural equation modeling study. Information & Management, 52(2), 210-226.
Mintel. (2016). Number of smartphone users worldwide from 2014 to 2019 (in millions). Available at: http://www.mintel.com/statistics/ 330695/number-of-smartphone-users-worldwide/ (Accessed 14th June 2016).
Pikkarainen T, Pikkarainen K, Karjaluoto, H. and Pahnila S, (2014). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14(3), pp.224-235.
Saleem, M. A., Zahra, S., Ahmad, R., & Ismail, H. (2016). Predictors of customer loyalty in the Pakistani banking industry: a moderated-mediation study. International Journal of Bank Marketing, 34(3), 411-430.
Saunders, M. L., & Lewis, P. and Thornhill, A. (2009). Research Methods for Business Students, London, Financial Times Prentice Hall Inc.
Teo, T.S., (2014). Demographic and motivation variables associated with Internet usage activities. Internet Research, 11(2), pp. 125-137.
Upadhyay, P., & Jahanyan, S. (2016). Analyzing user perspective on the factors affecting use intention of mobile based transfer payment. Internet Research, 26(1).
Vatanasombut, B., Igbaria, M., Stylianou AC. and Rodgers W, (2008). Information systems continuance intention of web-based applications customers: The case of online banking. Information & Management, 45(7), pp.419-428.
Venkatesh, A., (2016). Computers and other interactive technologies for the home. Communications of the ACM, 39(12), pp.47-54.
Wang, L., Luo, J., Gao, W . and Kong, J., (2012). The effect of Internet use on adolescents’ lifestyles: A national survey. Computers in Human Behavior,28(6), pp.(2007)-(2013).
Wei W, Li J, Cao L, Ou Y, & Chen J. (2013). Effective detection of sophisticated online banking fraud on extremely imbalanced data. World Wide Web, 16(4), 449-475.
Wang, X. (2013). Banking Reforms and Monetary Policy in the People's Republic of China: Is the Chinese Central Banking System Ready for Joining the WTO?, China Review International , 10(2), 399-403.
DOI: http://dx.doi.org/10.18686/fm.v7i4.4901
Refbacks
- There are currently no refbacks.