A Model to Transfer Technology and Technical Knowledge in Auto Parts Manufacturers

Abstract

Background: Regarding the high demands of auto parts manufacturers to utilize new technologies to develop and grow competitiveness and produce products in the market, there is an urgent need for successful technology transfer to the company. In this regard, a suitable model for appropriate transfer of technology and technical knowledge is required to succeed and be effective in order to facilitate the maximum adaptation between the demand and operational dimensions in this industry.
 Objective: In this study, a model was proposed to evaluate the success of technology and technical knowledge transfer in auto parts manufacturers.
 Method: To this end, the factors affecting the success of technology transfer were first collected according to previous studies, and then an exploratory factor analysis questionnaire was developed to classify and screen these factors in the form of a conceptual model.
 Results: In the study, 361 personnel and experts from auto parts manufacturers participated, and Cronbach's alpha coefficient >0.7 was set to measure the reliability of the questionnaires. Finally, exploratory factor analysis method was used to develop the model. Afterward, according to the proposed model, a confirmatory factor analysis questionnaire was prepared and filled in by the same statistical population, who were working in auto parts manufacturers. After examining the normality of the sample and the reliability of the questionnaire, structural equations were designed in the form of confirmation structures for the model. Exploratory factor analysis was also used to confirm and test the model.
 Conclusion: The findings indicated that organizational index, adaptability, and technology utilization and absorption had the greatest impacts on the success of technology transfer, respectively.