How to cite this paper
Javidnia, M., Nasiri, S & far, J. (2012). Identifying factors affecting acceptance of new technology in the industry using hybrid model of UTAUT and FUZZY DEMATEL.Management Science Letters , 2(7), 2383-2392.
Refrences
Al-Ghahtani, S.S. (2011). Modeling the electronic transactions acceptance using an extended technology acceptance model. Applied Computing and Informatics, 9, 47–77.
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two. Management Science, 35(8), 982–1003.
Goktalaya, S.B., & Ozdileka, Z. (2010). Pre-service teachers’ perceptions about web 2.0 technologies. Journal of Procedia Social and Behavioral Sciences, 2, 4737– 4741.
Greenfield, G., & Rohde, F. (2009). Technology acceptance: Not all organisations or workers may be the same. International Journal of Accounting Information Systems, 10, 263–272.
Im, I., Hong, S., & Kang, M.S. (2011). An international comparison of technology adoption Testing the UTAUT model. Journal of Information & Management, 48, 1-8.
Jan, A.U., & Contreras, V. (2011). Technology acceptance model for the use of information technology in universities. Computers in Human Behavior, 27, 845–851.
Kijsanayotina, B., Pannarunothaib, S., & Speediec, S.M. (2009). Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International journal of medical informatics, 78, 404 – 416.
Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use, Comput. Hum. Behav. 26 (2) 254–263.
Lee, C.L., Yen, D.C., Peng, K.C., & Wu, H.C. (2010). The influence of change agents & apos; behavioral intention on the usage of the activity based costing/management system and firm performance: The perspective of unified theory of acceptance and use of technology. Journal of Advances in Accounting, incorporating Advances in International Accounting, 26, 314 -324.
Lee,Y. C., Lee, M. L., Yen, T. M., & Huang, T. H. (2010). Analysis of adopting an integrated decision Making Trial and Evaluation Laboratory on a technology acceptance model. Expert System with Applications, 37(1), 1745–1754.
Lee, Y. C., Lee, M. L., Yen, T. M., & Huang, T. H. (2011). Analysis of fuzzy Decision Making Trial and Evaluation Laboratory on technology acceptance model. Expert Systems with Applications, 1-10.
Liu, C., & Forsythe, S. (2011). Examining drivers of online purchase intensity : Moderating role of adoption duration insustaining post-adoption online shopping. Journal of Retailing and Consumer Services 18, 101 – 109.
Pai, F.Y., & Huang, K.I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting & Social Change 78, 650–660.
Pontiggiaa, A., & Virili, F. (2010). Network effects in technology acceptance: Laboratory experimental evidence. International Journal of Information Management, 30, 68–77.
Soroa - Koury, S., & Yang, K.C.C. (2010).Factors affecting consumers’ responses to mobile advertising from a social norm theoretical perspective. Telematics and Informatics, 27, 103–113.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test, Computers & Education, 1 -35.
Venkatesh, V., & Davis, F.D. ( 2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh,V., Morris, M.G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Yua, P., Li, H.C., & Gagnon, M.P. (2009). Health IT acceptance factors in long-term care facilities: A cross-sectional survey. International Journal of Medical Informatics, 78, 219–229.
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Journal of Computers in Human Behavior, 26,760 – 767.
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two. Management Science, 35(8), 982–1003.
Goktalaya, S.B., & Ozdileka, Z. (2010). Pre-service teachers’ perceptions about web 2.0 technologies. Journal of Procedia Social and Behavioral Sciences, 2, 4737– 4741.
Greenfield, G., & Rohde, F. (2009). Technology acceptance: Not all organisations or workers may be the same. International Journal of Accounting Information Systems, 10, 263–272.
Im, I., Hong, S., & Kang, M.S. (2011). An international comparison of technology adoption Testing the UTAUT model. Journal of Information & Management, 48, 1-8.
Jan, A.U., & Contreras, V. (2011). Technology acceptance model for the use of information technology in universities. Computers in Human Behavior, 27, 845–851.
Kijsanayotina, B., Pannarunothaib, S., & Speediec, S.M. (2009). Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International journal of medical informatics, 78, 404 – 416.
Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use, Comput. Hum. Behav. 26 (2) 254–263.
Lee, C.L., Yen, D.C., Peng, K.C., & Wu, H.C. (2010). The influence of change agents & apos; behavioral intention on the usage of the activity based costing/management system and firm performance: The perspective of unified theory of acceptance and use of technology. Journal of Advances in Accounting, incorporating Advances in International Accounting, 26, 314 -324.
Lee,Y. C., Lee, M. L., Yen, T. M., & Huang, T. H. (2010). Analysis of adopting an integrated decision Making Trial and Evaluation Laboratory on a technology acceptance model. Expert System with Applications, 37(1), 1745–1754.
Lee, Y. C., Lee, M. L., Yen, T. M., & Huang, T. H. (2011). Analysis of fuzzy Decision Making Trial and Evaluation Laboratory on technology acceptance model. Expert Systems with Applications, 1-10.
Liu, C., & Forsythe, S. (2011). Examining drivers of online purchase intensity : Moderating role of adoption duration insustaining post-adoption online shopping. Journal of Retailing and Consumer Services 18, 101 – 109.
Pai, F.Y., & Huang, K.I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting & Social Change 78, 650–660.
Pontiggiaa, A., & Virili, F. (2010). Network effects in technology acceptance: Laboratory experimental evidence. International Journal of Information Management, 30, 68–77.
Soroa - Koury, S., & Yang, K.C.C. (2010).Factors affecting consumers’ responses to mobile advertising from a social norm theoretical perspective. Telematics and Informatics, 27, 103–113.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test, Computers & Education, 1 -35.
Venkatesh, V., & Davis, F.D. ( 2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh,V., Morris, M.G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Yua, P., Li, H.C., & Gagnon, M.P. (2009). Health IT acceptance factors in long-term care facilities: A cross-sectional survey. International Journal of Medical Informatics, 78, 219–229.
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Journal of Computers in Human Behavior, 26,760 – 767.