How to cite this paper
Ghorbanzad, Y & Beig, M. (2012). The impact of information technology on productivity using structural equations technique in Iran Behnoush Company.Management Science Letters , 2(4), 1195-1202.
Refrences
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Azar, A. (2003). Path analysis and causation in management science. Journal of Qom Higher Education Institute, 4(15), winter.
Badescu, M., & Garcés-Ayerbe, C. (2009). The impact of information technologies on firm productivity: Empirical evidence from Spain. Technovation, 29, 122–129.
Boothby, D., & Dufour, A. (2010). Technology adoption, training and productivity performance. Jianmin Tang Research Policy, 39, 650–661.
Feldstein, M. (2003). Why is productivity growing faster? Journal of Policy Modeling 25, 445–451.
Fuentelsaz, L., G?mez, J., & Palomas, S. (2009). The effects of new technologies on productivity: An intrafirm diffusion-based assessment. Research Policy, 38(7), 1172-1180.
Hooman, H.A. (2009). Structural equations model by using LISREL software. Tehran: SAMT publications.
Lin, W.T. (2009).The business value of information technology as measured by technical efficiency: Evidence from country-level data. Decision Support Systems, 46(4), 865-874.
Lee, Y., Kim, S., & Lee, H. (2011).The impact of service R & D on the performance of Korean information communication technology small and medium enterprises. Journal of Engineering and Technology Management, 28(1-2), 77-92.
Lin, W.T., & Chiang, C.Y. (2011). The impacts of country characteristics upon the value of information technology as measured by productive efficiency. International Journal of Production Economics, 132(1), 13-33.
Poon, S.K., Davis, J.G., & Choi, B. (2009). Augmenting productivity analysis with data mining: An application on IT business value. Expert Systems with Applications, 36, 2213–2224
Sohn, S.Y., & Moon, T.H. (2003). Structural equation model for predicting technology commercialization success index (TCSI). Technological Forecasting and Social Change, 70(9), 885-899.
Zain, M., Che Rose, R., Abdullah, I., & Masrom, M. (2005).The relationship between information technology acceptance and organizational agility in Malaysia. Information & Management, 42(6), 829-839
Azar, A. (2003). Path analysis and causation in management science. Journal of Qom Higher Education Institute, 4(15), winter.
Badescu, M., & Garcés-Ayerbe, C. (2009). The impact of information technologies on firm productivity: Empirical evidence from Spain. Technovation, 29, 122–129.
Boothby, D., & Dufour, A. (2010). Technology adoption, training and productivity performance. Jianmin Tang Research Policy, 39, 650–661.
Feldstein, M. (2003). Why is productivity growing faster? Journal of Policy Modeling 25, 445–451.
Fuentelsaz, L., G?mez, J., & Palomas, S. (2009). The effects of new technologies on productivity: An intrafirm diffusion-based assessment. Research Policy, 38(7), 1172-1180.
Hooman, H.A. (2009). Structural equations model by using LISREL software. Tehran: SAMT publications.
Lin, W.T. (2009).The business value of information technology as measured by technical efficiency: Evidence from country-level data. Decision Support Systems, 46(4), 865-874.
Lee, Y., Kim, S., & Lee, H. (2011).The impact of service R & D on the performance of Korean information communication technology small and medium enterprises. Journal of Engineering and Technology Management, 28(1-2), 77-92.
Lin, W.T., & Chiang, C.Y. (2011). The impacts of country characteristics upon the value of information technology as measured by productive efficiency. International Journal of Production Economics, 132(1), 13-33.
Poon, S.K., Davis, J.G., & Choi, B. (2009). Augmenting productivity analysis with data mining: An application on IT business value. Expert Systems with Applications, 36, 2213–2224
Sohn, S.Y., & Moon, T.H. (2003). Structural equation model for predicting technology commercialization success index (TCSI). Technological Forecasting and Social Change, 70(9), 885-899.
Zain, M., Che Rose, R., Abdullah, I., & Masrom, M. (2005).The relationship between information technology acceptance and organizational agility in Malaysia. Information & Management, 42(6), 829-839