Development of technology acceptance model in Iranian banking (Case study: Refah Bank of Semnan province)

Document Type : Research Paper


1 Full Professor, University of Tehran, Iran

2 Ph.D., Board Member of Islamic Azad University, Semnan Branch, Iran

3 Ph.D Candiate, Technology Management, Science and Research University and member of Young Researchers Club


Development of new technologies is one of the key success factors in most today’s organizations. But this point must also be considered that the acceptance of new technologies does not happen at the moment; it is a process that takes shape over time, and if the usage is repeated, it can be concluded that acceptance has been successful. Besides the systematical review of the researches conducted on technology acceptance model since it’s development by Davis so far in this paper, there has been an effort regarding basic TAM model variables and adding more neglected variables including habit, the ability to use and advertisements, a technology acceptance model has been presented considering social and cultural situation in Iran. A questionnaire was designed to test the assumptions, and after being completed by the staff of information Technology action Refah bank, it was analyzed using fuzzy dematel. Research result shows the fact that continuous use of a technology (like electronic banking) leads to an increase in habit of use that itself results in an increase of usage, indeed there will be a strong reinforcing loop. On the other hand, habit of using previous system (traditional banking) is of the main obstacles to users willing to use new technologies in Iran.


Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior & Human Decision Processes, 50: 179-211.
Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
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): 53 – 75.
Alsajjan, B., Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of Business Research, 63 (9-10): 957–963.
Anadarajan, M., Igbaria, M. & Anakwe, U. P. (2002). IT acceptance in a less-developed country: A motivation factor perspective. International Journal of Information Management, 22 (1): 47-65.
Asgharpour, M.J. (2003). Group decision making and game theory, Tehran: University Press. (in Persian)
Bagheri, M.A., Hamidi Beheshti, M.T., Alidusti, S. (2009). Internet banking adoption in Iran: Extending the technology acceptance model. Journal of Science and Technology, 3(24): 5-34. (in Persian)
Barooti Ardestani, N. (2006). The presented technology acceptance model to employees of the banking system, Master's thesis, Tehran: Alzahra University. (in Persian)
Bauer, H.H., Hammerschmidt, M. and Falk, T. (2005). Measuring the quality of e-banking portals. International Journal of Bank Marketing, 23(2):153 – 175.
Chang, B., Chang, C. W, Wu, C. H. (2011). Fuzzy Dematel method for developing supplier selection criteria. Expert system with application, 38  (3): 1850 -1858.
Cho, H. (2007). Consumer acceptance of online customization for apparel, A Dissertation submitted to the Department of Textiles and Consumer Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy, the Florida state university.
Chou, D., Chou, A.Y. (2002). A guide to the Internet revolution in banking”. International Systems Management, 17(2): 51-70.
Chun, C.H. (2012). Evaluation criteria for blog design and analysis of causal relationships using factor analysis and Dematel. Expert Systems with Applications, 39 (1): 187–193.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3): 319-340.
Davis, F.D., Bagozzi, R.P., Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8): 982 – 1003. 
Davis, F.D. (1986). A technology Acceptance Model for empirically testing new end-user information systems: Theory and results, (Doctoral dissertation, Sloan School of  Management, Massachusetts Institute of Technology.
Davis, F.D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts, International Journal of Man-Machine Studies, 38(3): 475-487.
Djamasbi, S., Strong, D., Dishaw, M., (2010). Affect and acceptance: Examining the effects of positive mood on the technology acceptance model”, Decision Support Systems, 48(2): 383–394.
Elbanna, A. (2010). From intention to use to actual rejection: the journey of ane-procurement system”. Journal of Enterprise Information Management, 23(1): 81-99.
Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gerhardt Schierz, P., Schilke, O., Wirtz, B. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9 (3): 209–216.
Gu, J., Lee, S., Suh, Y. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36 (9): 11605–11616.
Guriting, P., Ndubisi, N. (2006). Borneo online banking: evaluating customer perceptions and behavioural intention, Management Research News, 29 (1/2): 6 – 15.
Hamner, M., Qazi, R. (2009). Expanding the Technology Acceptance Model to examine Personal Computing Technology utilization in government agencies in developing countries, Government Information Quarterly, 26(1): 128-136.
Hashemian, M., Isaei, MT., Fattah, M. Tabatabai. M., (2012). Factors affecting the adpotion of e-banking tools are hand Customers (survey on Saman Bank), Journal of Technology Management , 4:11: 155-174. (in Persian)
Hernandez, B., Jimènez, J., Martìn, M., (2008). Extending the technology acceptance model to include the IT decision-maker: A study of business management software. Technovation, 28 (3): 112–121.
Hossain, L., Silva, A. (2009). Exploring user acceptance of technology using social networks, Journal of High Technology Management Research, 20 (1):
Humphreys, D., (2000). Internet Banking: Leveling the playing field for community banks. In J. Keyes (Ed.), Financial services information systems (2nd ed). Baoca Raton: Auerbach.
Ivano, D., (2008). Ensuring Long-Term Adoption of Technology: Mandated Use and Individual Habit as Factors that Establish Technology into Healthcare Practice. Submitted in partial fulfillment of the requirements, for the degree of Doctor of Philosophy, Department of Information Systems.
Jong-Ae, K. (2005). User acceptance of Web-based subscription databases: Extending the technology acceptance model, A Dissertation submitted to the College of Information in partial fulfillment of the requirements for the degree of Doctor of Philosophy, The Florida state university.
Karimi M.R., Spndarnand, S., Haghshenas, F. (2012). Study of investigate the effect of customer perceptions of security and trust in electronic payment systems in Keshavarzi Bank (Tehran Branches), Journal of Technology Management, 11(4):  135-154. (in Persian)
Kripanont, N. (2007). Examining a Technology Acceptance Model of Internet Usage by Academics within Thai Business Schools. This thesis is presented in fulfillment of the requirements of the degree of Doctor of Philosophy, Victoria University, Australia.
Lai, V., Li, H. (2005). Technology acceptance model for internet banking: an invariance analysis, Information & Management, 42 (1): 373-386.
Legris, P., Ingham, J. & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40 (3): 191-204.
Li, R. J. (1999). Fuzzy method in group decision making. Computers and Mathematics with Applications, 38(1): 91-101.
Lo, C. C., Chen, W. J. (2012). A hybrid information security risk assessment procedure considering interdependences between controls. Expert Systems with Applications, 39(1): 247–257.
Moghali, A. (2007). Adoption of E-banking among customers of Shiraz city banks. Journal of Iran Management Sciences, 2 (7): 81 - 98.  (in Persian)
Mohaghar, A., Shir-Mohammadi, M. (2004). Technology acceptance model developed in the ministry of interior. Journal of Knowledge Management, 67(1): 113- 131. (in Persian)
Mohamedpour, M., Motmaen-Fa'al, Z., Fasanqari, M. (2010). Investigating factors affecting the adoption of mobile services by using path analysis method. Journal of Information technology management, 2 (5): 111-128. (in Persian)
Pan, S., Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective, Computers in Human Behavior, 26 (5): 1111–1119.
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research, 14(3): 224-235.
Polančic, Heričko, M. G., Rozman, I. (2010). An empirical examination of application frameworks success based on technology acceptance model. The Journal of Systems and Software, 83 (4): 574-584.
Polasik, M. and Wisniewski, P.T. (2009). Empirical analysis of internet banking adoption in Poland. International Journal of Bank Marketing, 27 (1): 32 - 52.
Rasouli, H., Manian. A. (2012). Designing a Fuzzy Inference System for Selecting e-Banking Services (Case Study: Sepah Bank). Journal of Technology Management, 4 (12): 41-64. (in Persian)
Robinson, G. (2000). Bank to the future. Internet Magazine. Retrieved from
Rogers, E. M. (1983). Diffusion of innovations. (3rd ed). New York: Free Press.
Salvati, M. (2004). Examining factors affecting electronic banking technology adoption in the Melli Bank, MS Thesis, University of Mazandaran.
(in Persian)
Suh, B. & Han, I. (2000). Effect of trust on customer acceptance of internet banking. Electronic Commerce Research and Applications, 1(3-4): 247-263.
Teo, T., Noyes, J. (2010). Exploring attitudes towards computer use among pre-service teachers from Singapore and the UK, A multi-group invariance test of the technology acceptance model (TAM). Multicultural Education & Technology Journal, 4 (2): 126-135.
Venkatesh, V. & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: for longitudinal field studies, Management Science, 46 (2): 186-204.
Wang, Y.S., Wang, Y.M., Lin, H., Tang, T. (2003). Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management, 14(5): 501-519.
Yaghoobi, N. and Shakeri, R. (2008). Comparative analysis of the technology acceptance model with emphasis on acceptance of internet banking. Journal of Management Sciences in Iran. 3 (11): 21-44. (in Persian)
Yiua, C., Grantc, K., Edgar, D. (2007). Factors affecting the adoption of Internet Banking in Hong Kong implications for the banking sector. International Journal of Information Management, 27 (1): 336-35 .
Zhao, A. L., Lloyd, S. H., Ward, P. & Goode, M. M. H. (2008). Perceived risk and Chinese consumers' Internet banking services adoption. International Journal of Bank Marketing, 26(7): 505 - 525.
Zhou, Q., Huang, W., Zhang, Y. (2011). Identifying success factors in emergency management using a fuzzy DEMATEL method. Safety Science, 49 (2): 243-252.
Zhou, T., Lu, Y., Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26 (4): 760–767.