Knowledge Translation Model From Research to Industry Case Study: Defense Industries Research Center
Subject Areas : Technology Transfer and Commercialization of Researchesیوسف نعیمائی عالی 1 * , حسینعلی حسن پور 2 , مهدی مغان 3 , جهانبخش ممبینی 4 , سهیل امامیان 5
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Abstract :
Knowledge Translation (KT) is the meeting ground between two fundamentally different processes: research and action. It knits them with communicative relationships. Knowledge translation is a dynamic and interactive process that includes synthesis, dissemination, exchange and ethically sound application of knowledge to provide more effective services and products and strengthen system. This is done through a complex system of researchers and knowledge users. Knowledge translation is catalyst for knowledge cycle in knowledge to action process. Utilization of observation and decision-making appropriate with field conditions that is proposed with knowledge translation is very useful in industrial researches. This research proposes a model for knowledge translation from research to industry (case study: A Defense Industry Research Center). By extending the concept of knowledge translation several models and structures are proposed that each one has a strategy to overcome the gap between what we know and what actually happens in practice. In this research we studied some of them and try to find an appropriate model. The proposed model has seven processes: research needs assessment, input to research, research processes, primary outputs from research, making a sample for taking customers endorsement, using product and final outcome. For data collection, interviews and questionnaires were used. The population is consisting of experts, managers and Defensive Research Centers researchers who are familiar with knowledge translation issues.