Back
 ME  Vol.5 No.13 , December 2014
Factors Influencing the Use of Mobile Financial Services: Evidence from Taiwan
Abstract: Mobile service innovation has become a critical issue in the financial sectors. Currently, many banks in Taiwan have developed various mobile services for their customers. However, mobile services in financial sectors are different from Internet services because of the mobility. First, mobile services enable mobile extensions of existing electronic services and new services that are valuable to users on the move. Second, most people have their own, personal mobile devices in the hands, but they may not have the computers with them anytime. Although consumers’ technology acceptance has been examined in the context of e-commerce, mobile financial services are gained scant attention. Thus, this study aims to explore the factors influencing the use of mobile financial services (MFS). We conducted a qualitative research in depth, and investigated a renowned bank in Taiwan which developed various MFS for customers. The findings reveal that perceived mobility and personal habit are two important antecedents influencing the use of MFS. Mobility positively affects perceived ease-of-use and perceived usefulness, which in turn influence the use of MFS. Furthermore, personal habit positively affects the use of MFS.
Cite this paper: Wu, F. and Yen, Y. (2014) Factors Influencing the Use of Mobile Financial Services: Evidence from Taiwan. Modern Economy, 5, 1221-1228. doi: 10.4236/me.2014.513113.
References

[1]   FIND (2012) The New Mobile Live Will Come. http://www.find.org.tw

[2]   Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. http://dx.doi.org/10.2307/249008

[3]   Lu, J., Yao, J.E. and Yu, C.-S. (2005) Personal Innovativeness, Social Influences and Adoption of Wireless Internet Services via Mobile Technology. Journal of Strategic Information Systems, 14, 245-268.http://dx.doi.org/10.1016/j.jsis.2005.07.003

[4]   Taylor, S. and Todd, P. (1995) Decomposition and Crossover Effects in the Theory of Planned Behavior: A Study of Consumer Adoption. International Journal of Research in Marketing, 12, 137-155.http://dx.doi.org/10.1016/0167-8116(94)00019-K

[5]   Kim, B., Choi, M. and Han, I. (2009) User Behaviors toward Mobile Data Services: The Role of Perceived Fee and Prior Experience. Expert Systems with Applications, 36, 8528-8536. http://dx.doi.org/10.1016/j.eswa.2008.10.063

[6]   Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading.

[7]   Shih, H.-P. (2004) An Empirical Study on Predicting User Acceptance of E-Shopping on the Web. Information and Management, 41, 351-368. http://dx.doi.org/10.1016/S0378-7206(03)00079-X

[8]   Chau, P.Y.K. and Lai, V.S.K. (2003) An Empirical Investigation of the Determinants of User Acceptance of Internet Banking. Journal of Organizational Computing & Electronic Commerce, 13, 123-146.
http://dx.doi.org/10.1207/S15327744JOCE1302_3

[9]   Chen, L.-D., Gillenson, D.L. and Sherrell, M. (2002) Enticing On-Line Consumers: An Extended Technology Acceptance Perspective. Information & Management, 39, 705-719. http://dx.doi.org/10.1016/S0378-7206(01)00127-6

[10]   Igbaria, M., Zinatelli, N., Cragg, P. and Cavaye, A.L.M. (1997) Personal Computing Acceptance Factors: A Structural Equation Model. MIS Quarterly, 21, 279-302. http://dx.doi.org/10.2307/249498

[11]   O’Cass, A. and Fenech, T. (2003) Web Retailing Adoption: Exploring the Nature of Internet Users’ Web Retailing Behavior. Journal of Retailing and Consumer Services, 10, 81-94. http://dx.doi.org/10.1016/S0969-6989(02)00004-8

[12]   Legris, P., Ingham, J. and Collerette, P. (2003) Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model. Information & Management, 40, 191-204.
http://dx.doi.org/10.1016/S0378-7206(01)00143-4

[13]   Turel, O., Serenko, A. and Bontis, N. (2007) User Acceptance of Wireless Short Messaging Services: Deconstructing Perceived Value. Information & Management, 44, 63-73. http://dx.doi.org/10.1016/j.im.2006.10.005

[14]   Mathieson, K., Peacock, E. and Chin, W.W. (2001) Extending the Technology Acceptance Model: The Influence of Perceived User Resources. DATA BASE for Advances in Information Systems, 32, 86-112.
http://dx.doi.org/10.1145/506724.506730

[15]   Luarn, P. and Lin, H.H. (2005) Toward an Understanding of the Behavioral Intention to Use Mobile Banking. Computers in Human Behavior, 21, 873-891. http://dx.doi.org/10.1016/j.chb.2004.03.003

[16]   Hull, C.L. (1943) Principles of Behavior: An Introduction to Behavior Theory. Appleton-Century-Crofts, New York.

[17]   James, W. (1890) The Principles of Psychology. Holt, New York. http://dx.doi.org/10.1037/11059-000

[18]   Verplanken, B. and Aarts, H. (1999) Habit, Attitude, and Planned Behavior: Is Habit an Empty Construct or an Interesting Case of Goal-Directed Automaticity? European Review of Social Psychology, 10, 101-134.http://dx.doi.org/10.1080/14792779943000035

[19]   Mahon, D., Cowan, C. and McCarthy, M. (2006) The Role of Attitudes, Subjective Norm, Perceived Control and Habit in the Consumption of Ready Meals and Takeaways in Great Britain. Food Quality and Preference, 17, 474-481.http://dx.doi.org/10.1016/j.foodqual.2005.06.001

[20]   Mittal, B. (1988) Achieving Higher Seatbelt Usage: The Role of Habit in Bridging the Attitude-Behavior Gap. Journal of Applied Social Psychology, 18, 993-1016. http://dx.doi.org/10.1111/j.1559-1816.1988.tb01189.x

[21]   Verplanken, B. and Faes, S. (1999) Good Intentions, Bad Habits, and Effects of Forming Implementation Intentions on Healthy Eating. European Journal of Social Psychology, 29, 591-604.
http://dx.doi.org/10.1002/(SICI)1099-0992(199908/09)29:5/6<591::AID-EJSP948>3.0.CO;2-H

[22]   De Pelsmacker, P. and Janssens, W. (2007) The Effect of Norms, Attitudes and Habits on Speeding Behavior: Scale Development and Model Building and Estimation. Accident Analysis & Prevention, 39, 6-15.http://dx.doi.org/10.1016/j.aap.2006.05.011

[23]   Saba, A., Vassallo, M. and Turrini, A. (2000) The Role of Attitude, Intentions and Habit in Predicting Actual Consumption of Fat Containing Foods in Italy. European Journal of Clinical Nutrition, 54, 540-545.http://dx.doi.org/10.1038/sj.ejcn.1601051

[24]   Ye, C. and Potter, R. (2011) The Role of Habit in Post-Adoption Switching of Personal Information Technologies: An Empirical Investigation. Communications of the Association for Information Systems, 28, 585-610.

[25]   Eisenhardt, K. (1989) Building Theories from Case Study Research. Academy of Management Review, 14, 532-550.

[26]   Yin, R.K. (2003) Case Study Research: Design and Methods. Sage, London.

[27]   Taiwan Stock Exchange (2013) The Annual Report of Securities in Taiwan.
http://www.twse.com.tw/ch/statistics/statistics.php?tm=07

[28]   Wikipedia (2010) Mobile Banking. http://en.wikipedia.org/wiki/Mobile_banking

 
 
Top