List of Articles knowledge transfer

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  1 - A review of university-industry interaction patterns and designs
     
  University and industry are two key institutions in any society and since the comprehensive development of communities and countries, largely due to Capabilities of the application of either of these two institutions in order to meet needs is, The policy makers, planner More

  University and industry are two key institutions in any society and since the comprehensive development of communities and countries, largely due to Capabilities of the application of either of these two institutions in order to meet needs is, The policy makers, planners and executors of them has attracted And the concept of continuous improvement of university-industry relationship is considered. This paper aimed at explaining the relationship between universities and industry, the first world record in Iran And then this challenge as a society with higher education, has studied and the introduction of the mechanisms of interaction with universities and industry adoption of methods to transfer knowledge and technology, Emanating from university-industry interaction patterns with patterns of innovation and technology development, has been described. Used when reviewing proposals for university-industry interaction, Mutual benefits of establishing a relationship with these two institutions that together have given the data and outputs, is described Manuscript profile
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  2 - Knowledge Translation Model From Research to Industry Case Study: Defense Industries Research Center
  Yousef Naeimaei Hossein Ali  Hasan pour Mahdi Moghan Jahanbakhsh Mambini Soheyl Emamian
  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, exchan More

  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. Manuscript profile
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  3 - Designing a Model for Transfer of Nanotechnology and the Relevant Knowledge Using Fuzzy Delphi Method
  Saeed Shokohi
  10.7508/jstpi.2015.01.001
  Nanotechnology plays an important role in the scientific, economic, and political development of countries, so that adapting to today's dynamic world and becoming the leading power in the Middle East and a pioneer in this field is subject to the acquisition of nanotechn More

  Nanotechnology plays an important role in the scientific, economic, and political development of countries, so that adapting to today's dynamic world and becoming the leading power in the Middle East and a pioneer in this field is subject to the acquisition of nanotechnology and the related knowledge. One of the short-term, urgent and effective methods for obtaining knowledge and technology concerned with nanotechnology is technology transfer but despite its outstanding importance, little attention has been paid. On the other hand, in extraordinary circumstances imposed by the sanctions against Iran, the urgency of this issue increases, since the technical and knowledge interactions under sanctions are harder and more complex. Also, the possibility of complete transfer of knowledge and technology, especially in the field of high technologies such as nanotechnology decreases. Therefore, this study has aimed to design a customized model for Iran to facilitate making accurate and wise decisions about transfer of nanotechnology and the knowledge associated with that technology. To achieve this goal, three basic steps have been taken. First, eighteen major factors influencing the transfer of knowledge and technology of nano has been identified. Then, these factors have been weighed. Finally, they have been categorized into five clusters that are: 1. Technology source, 2. Technology receiver, 3. Technology process, 4. Technology nature, 5. Technology environment. It is notable that this classification has been based on open systems approach. Manuscript profile
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  4 - Knowledge Management in Knowledge-based Organizations, located in Isfahan Scientific and Technology Town (ISTT)
  Seyed mohammad Mirkamali Zeynab Eizadian Hadi Mosadegh
  In contemporary economics, knowledge is key element for organizational competitiveness. Therefore diverse organizations, especially small and medium-sized companies should have a clear position in their organizations current knowledge in order to survive and achieve ac More

  In contemporary economics, knowledge is key element for organizational competitiveness. Therefore diverse organizations, especially small and medium-sized companies should have a clear position in their organizations current knowledge in order to survive and achieve accomplishment. The purpose of this study was to present a perspicuous condition of knowledge management strategies in firms, located in Isfahan science and technology town (ISTT). 98 firms were selected in a simple randomized sampling and their managers were requested to answer the questionnaire asking 47 questions about 4 different knowledge strategies, including knowledge application, knowledge transfer, organizational knowledge and producing knowledge. The type of this study is survey research. Data was analyzed by using descriptive statistics (frequency, mean and standard deviation). The results indicate that the dominant strategy of knowledge management in the town in applying knowledge is human-centered strategy, in field of knowledge transfer is social strategy, in the development and producing of knowledge is applied strategies in field of organizational knowledge is innovations strategy. This finding demonstrates that firms’ emphasis on hidden knowledge and their knowledge has more personal nature. It is proposed to modify the existing state that empirical knowledge of personals is written to be easily shared with others. Manuscript profile
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  5 - Improving the Productivity of Knowledge Transfer to Organizations: Case Study
  parvaneh samoei hamidreza dezfoolian
  10.7508/jstpi.2018.04.007
  Nowadays, knowledge is one of the greatest competitive advantages of organizations in the global economy and it is the most important factor in creating value in organizations. Therefor, it is imperative for any organization to acquire the knowledge needs. Organizationa More

  Nowadays, knowledge is one of the greatest competitive advantages of organizations in the global economy and it is the most important factor in creating value in organizations. Therefor, it is imperative for any organization to acquire the knowledge needs. Organizational resource constraints do now allow the acquisition of all knowledge needs at the same time, therefore, by valuing and prioritizing the knowledge needs, one can act in such a way that the limited organizational resources were initially devoted to the most essential knowledge needs, thus benefiting from the resources in the best way. Accordingly, in the proposed model in this paper, after identifying all the industry’s knowledge, the knowledge requirements of the organization under study are extracted and according to the organization’s goals and conditions, suitable criteria, the required knowledge is prioritized. The SWOT Matrix is applied for knowledge need assessment. A case study has been carried out in the pottery industry and the results of its implementation have been investigated in a pottery workshop. The results of the need assessment led to the selection of 10 knowledge from 24 pottery industry knowledge which were valued by selecting five criteria and three sub-criteria and ranked according to their importance. Manuscript profile
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  6 - Identifying Factors that Influence the Process of Knowledge Transfer in Offshore Organizations
  وجیهه  هوشیار Mohammad لگزیان مهسا  بذرگری
  Offshoring is a trend during which organizatios directly replaced Internal labor with foreign labor and the activities are transferred from the source. At this time organization’s need to transfer knowledge of the local unit of offshoring jobs has become evident. In th More

  Offshoring is a trend during which organizatios directly replaced Internal labor with foreign labor and the activities are transferred from the source. At this time organization’s need to transfer knowledge of the local unit of offshoring jobs has become evident. In the process of transferring, knowledge from the source to the recipient or user, is transmitted via factors that affect the process.The aim of the present study was to identify factors influencing knowledge transfer in offshoring organizations. Content analysis is a research method used in this study. After the content analysis of more than 60 studies, a model in four levels of factors impacting knowledge transfer were identified. At the first level, three dimensions of content, the individual and the context were identifid as the effective factors in knowledge transfer process. At the second level, the following components were extracted from each dimension which affected knowledge transfer, especially in offshoring firms. Knowledge is a vital component in the content level. Confidence,‌ motivation and capacity are effective in individual level and culture was identified to influence the context level. At the third and fourth level of the model, elements of these components as well as methods of knowledge transfer were presented. To assess the validity of this model, all aspects, components, parts and materials were confirmed by a number of experts who were aware of the model Manuscript profile
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  7 - A Transfer Learning Algorithm to Improve the Convergence Rate and Accuracy in Cellular Learning Automata
  Seyyed Amir Hadi Minoofam Azam Bastanfard M. R.  Keyvanpour
  Cellular learning automaton is an intelligent model as a composition of cellular automaton and learning automaton. In this study, an extended algorithm of cellular learning automata is proposed based on transfer learning as the TL-CLA algorithm. In this algorithm, trans More

  Cellular learning automaton is an intelligent model as a composition of cellular automaton and learning automaton. In this study, an extended algorithm of cellular learning automata is proposed based on transfer learning as the TL-CLA algorithm. In this algorithm, transfer learning is used as an approach for computation deduction and minimizing the learning cycle. The proposed algorithm is an extended model based on merit function and attitude vector for transfer learning. In the TL-CLA algorithm, the value of the merit function is computed based on the local environment, and the value of the attitude vector is calculated based on the global environment. When these two measures get the threshold values, the transfer of action probabilities causes the transfer learning from the source CLA to the destination CLA. The experimental results show that the proposed TL-CLA model leads to increment the convergence accuracy as 2.7% and 2.2% in two actions and multi-action standard environments, respectively. The improvements in convergence rate are also 8% and 2% in these two environments. The TL-CLA could be applied in knowledge transfer from learning one task to learning another similar task Manuscript profile
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  8 - The effect of Succession Planning on the Transfer of Knowledge in Higher Education with the Mediating Role of Transformational Leadership (Case Study: Kharazmi University)
  Ayat Saadat Talab
  The aim of the present study was to investigate the effect of succession planning on the knowledge transfer in higher education with the mediating role of transformational leadership. The research method was descriptive correlational. The statistical population of this More

  The aim of the present study was to investigate the effect of succession planning on the knowledge transfer in higher education with the mediating role of transformational leadership. The research method was descriptive correlational. The statistical population of this study included all administrators (200 people) of Kharazmi University were selected by convenience sampling method. For data collection were used the three Questionnaire of succession planning (Kim, 2006), Bass & Avolio (2004) transformational leadership, and knowledge transfer (Nonaka & Takeuchi, 1995). Data analysis was done by using structural equation modeling in AMOS And Spss-22 software. The results of structural equation modeling showed that the conceptual model of research with experimental data fits well and transformational leadership plays the role of a complete mediator in the relationship between succession planning and knowledge transfer. Accordingly, the variable relationship between succession planning and knowledge transfer through transformational leadership was confirmed in the form of path analysis. Thus, the variable of transformational leadership showed a facilitating role in the relationship between and succession planning and knowledge transfer. Also, the leading variable of succession planning had a direct and positive effect on the knowledge transfer. Based on the results of the research, it can be concluded that university administrators can provide a good platform By establishing a succession planning system in universities and higher education institutions, for institutionalizing knowledge transfer inside and outside the university. In the current competitive environment, university administrators will achieve the lofty goals and missions of the university by cultivating knowledgeable managers, and thus ensure the growth, development and competitive advantage of the university Manuscript profile