Science Journal of Business and Management
Volume 3, Issue 6, December 2015, Pages: 235-241
Received: Oct. 6, 2015;
Accepted: Oct. 19, 2015;
Published: Nov. 17, 2015
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Chen Xinhui, School of Economics and Management, North China University of Technology, Beijing, PR China; School of Business and Management, North China Electric Power University, Beijing, PR China
Ji Xiangxiang, School of Economics and Management, North China University of Technology, Beijing, PR China
Zhang Xinrui, School of Economics and Management, North China University of Technology, Beijing, PR China
Mobile banking has become a new field that bank industry because of its advantages of convenience, openness, real-time as a new e-commerce bank, promoting the users intention is one of the issues of development. First of all, the paper establishes the relationship model that affects the mobile bank user’s intention on the base of Technology Acceptance Model and Theory of Planned behavior. Secondly, the paper carries out questionnaire survey on Beijing mobile bank users and gets 136 effective samples. In the end, the paper conducts empirical research using structural equation model and gets a conclusion that perceived usefulness and perceived risk have significant impact on users intention, especially subjective norms not only has a direct impact but also an indirect effect on user intention .The results indicate subject norm has significant impact on user intention and Perceived Ease of Use has significant impact on user intention by the mediating of subject norm. Therefore, strengthening the safety and external publicity of mobile phone bank is the key to win the customers.
On the Users’ Intention to Adopt Mobile Banking: The Role of Subject Norm, Science Journal of Business and Management.
Vol. 3, No. 6,
2015, pp. 235-241.
Iresearch.2014 China mobile banking user survey report[OL]. [2014-09-30]. http://www.iresearch.com.cn/Repott/.
Davis, F.D. A Technology Acceptance Model for Empirically Testing New End-user Information Systems: Theory and Results, Cambridge, MA, MIT Sloan School of Management, 1986.
NAMBO C. The moderating effects of psychological reactance and product involvement on online shopping recommendation mechanisms based on a causal map. Electronic Commerce Research and Applications, 2010, (9): 522-536.
KLEIJNEN M. et al. Consumer Acceptance of Wireless Finance, Journal of Financial Services Marketing, 2004, 8(3): 206-217.
AJZEN I. The theory of planned behavior. Organizational Behavior & Human Decision Processes, 1991, 50(2): 179-211.
LOFEZ - NICOLAS C, MOLINA - CASTILLO F J. An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information Management, 2008, 45(6): 359-364.
Zhong X N. The site features and individual consumer characteristics affect the network shopping. Hangzhou: Zhejiang University, 2005.
Hsu C L, Lu H P. Why do people play on-line games? An extended TAM with social inﬂuence and ﬂow experience, Information Management, 2004(41): 853-868.
Guo X H. The influence factors of mobile bank user adoption research [J]. Nankai Business Review, 2009, 12(3): 12-19.
LIU Z H, MIN Q F, JI S B. An empirical study on mobile banking adoption: The role of trust [A]. Proceedings of the Second International Symposium on electronic commerce and security (ISECS 2009)[C]. Nanchang, China, May 2009: 657-663.
Cheng H. The empirical research of individual differences and consumers to accept online shopping. Hangzhou: Zhejiang University, 2003.
PAVLOU Y A. Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model .International Journal of Electronic Commerce, 2003, 7(3): 101-134.
WEI T T, Marthandan G, Chong A Y, Ooi K B, Arumugam S. What drives Malaysian m-commerce adoption? An empirical analysis, Industrial Management & Data Systems, 2009, (109): 370-388.
Kleijnen, M. et al. Consumer Acceptance of Wireless Finance. Journal of Financial Services Marketing, 2004, 8(3): 206-217.
DAI H, PALVIA P. Factors affecting mobile commerce adoption: a cross-cultural study in China and the United States. The DATA BASE for Advances in Information Systems, 2008, (40): 43-61.
Zhang Q J. The impact factor analysis of users accept mobile business and its application research. Hangzhou: Zhejiang University of Technology, 2005.
KAPPOS A, RIVARD S. A three-perspective model of culture, information systems, and their development and use.MIS Quarterly, 2008, 32(3): 601-634.
Luo P. SPSS for Windows statistical analysis. Beijing: Electronic Industry Press, 2005.
VENKATESH V, MORRIS M G. Why Don`t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Tech acceptance and Usage Behavior. MIS Quarterly, 2000, 24(1): 115-239.
Miu E N. The thinking of the development of mobile banking. Financial electronic, 2007, (7): 70-71.
GEFEN D. KARAHANNA E. STRAUB D W. Trust and TAM in online shopping: An integrated mode. MIS Quarterly, 2003, 27(1): 51-90.
LUARN P, LIN H. Toward an Understanding of the Behavioral Intention to Use Mobile Banking.Computers in Human Behavior, 2005, (21): 873-891.
TAYLOR S, TODD P. Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 1995, 6(2): 144-177.