Title of article :
An ISM approach for analyzing the factors in technology transfer
Author/Authors :
Mahdavi Mazdeh، Mohammad نويسنده , , Shafia، Mohammad Ali نويسنده , , Bandarian، Reza نويسنده Research Institute of Petroleum Industry, Tehran, Iran , , Kahrizi، Abdolmajid نويسنده School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran ,
Issue Information :
فصلنامه با شماره پیاپی 13 سال 2015
Pages :
14
From page :
335
To page :
348
Abstract :
Technology transfer, from research and technology organizations (RTOs) toward local industries, is considered as one of important and significant strategies for countriesʹ industrial development. In addition to recover the enormous costs of research and development for RTOs, successful technology transfer from RTOs toward local firms forms technological foundations and develops the ability to enhance the competitiveness of firms. Better understanding of factors influencing process of technology transfer helps RTOs and local firms prioritize and manage their resources in an effective and efficient way to maximize the success of technology transfer. This paper aims to identify important effective factors in technology transfer from Iranian RTOs and provides a comprehensive model, which indicate the interactions of these factors. In this regard, first, research background is reviewed and Cummings and Teng’s model (2003) [Cummings, J. L., & Teng, B.-S. (2003). Transferring R&D knowledge: The key factors affecting knowledge transfer success. Journal of Engineering and Technology Management, 20(1-2), 39-68.] was selected as the basic model in this study and it was modified through suggesting new factors identified from literature of inter-organizational knowledge and technology transfer and finally a Delphi method was applied for validation of modified model. Then, research conducted used Interpretive Structural Modeling (ISM) to evaluate the relationship between the factors of final proposed model. Results indicate that there were twelve factors influencing on technology transfer process from Iranian RTOs to local firms and also the intensity of absorption capability in transferee could influence on the intensity of desorption capability in transferor.
Journal title :
Decision Science Letters
Serial Year :
2015
Journal title :
Decision Science Letters
Record number :
2037004
Link To Document :
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