Li Cheng-Gang
Faculty of Finance, Guizhou University of Finance and Economics, Guiyang, Guizhou, 550025, China
Li Xiao-lin
Business School, Sichuan Agriculture University, Chengdu, 600007, Sichuan, China
ABSTRACT
Studying the influence factors of electronic banking has important practical significance for the development of city commercial banks. Taking electronic banking of city commercial banks in western China as the research object, this study uses Group Method of Data Handling (GMDH) to objectively and automatically screen the main influence factors of the commercial bank electronic banking development and to seek the non-linear relationship between the influence factors and the development of electronic banking. The results show that electronic banking transaction volume growth, product planning, internet marketing and e-commerce development are the main factors of the electronic banking development. The impact of electronic bank transaction volume growth and product planning on the development of electronic banking is very large. The impact duration of network marketing on electronic banking is very long and the impact of its interaction with product planning is big. E-commerce impacts the development of electronic banking by its interaction with the pre-electronic banking growth. The conclusions and suggestions of this study are conducive to city commercial banks in western China better develop their electronic banking.
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How to cite this article
Li Cheng-Gang and Li Xiao-lin, 2013. Screen the Influence Factors of Electronic Banking of City Commercial Banks in Western China Based on GMDH Algorithm. Information Technology Journal, 12: 5122-5127.
DOI: 10.3923/itj.2013.5122.5127
URL: https://scialert.net/abstract/?doi=itj.2013.5122.5127
DOI: 10.3923/itj.2013.5122.5127
URL: https://scialert.net/abstract/?doi=itj.2013.5122.5127
REFERENCES
- Maiyaki, A.A. and S.S.M. Mokhtar, 2010. Effects of electronic banking facilities, employment sector and age-group on customers' choice of banks in Nigeria. J. Internet Banking Commerce, 15: 1-8.
Direct Link - Ajzen, I., 1991. The theory of planned behavior. Organiz. Behav. Hum. Decis. Process., 50: 179-211.
CrossRefDirect Link - Al-Somali, S.A., R. Gholami and B. Clegg, 2009. An investigation into the acceptance of online banking in Saudi Arabia. Technovation, 29: 130-141.
CrossRef - Jaruwachirathanakul, B. and D. Fink, 2005. Internet banking adoption strategies for a developing country: The case of Thailand. Internet Res., 15: 295-311.
CrossRef - Joshua, A.J. and M.P. Koshy, 2011. Usage patterns of electronic banking services by urban educated customers: Glimpses from India. J. Internet Banking Commerce, 16: 1-12.
Direct Link - Maddux, J.E. and R.W. Rogers, 1983. Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. J. Exp. Social Psychol., 19: 469-479.
CrossRef - Hernandez-Murillo, R., G. Llobet and R. Fuentes, 2010. Strategic online banking adoption. J. Banking Finance, 34: 1650-1663.
CrossRef - Salehi, M. and M. Alipour, 2010. E-Banking in emerging economy: Empirical evidence of Iran. Inter. J. Econ. Finance, 2: 201-209.
Direct Link - Shih, Y.Y. and K. Fang, 2004. The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Int. Res., 14: 213-223.
CrossRef - Tan, M. and T.S.H. Teo, 2000. Factors influencing the adoption of internet banking. J. Assoc. Inform. Syst., 1: 1-44.
Direct Link