Strategic Knowledge Management Pattern for Improving the Performance of Research Institutes مقاله

چکیده:

In order to define a pattern for knowledge management in research institutes to improve their performance, after studying the existing literature in this field, it was determined that there are three main perspectives regarding knowledge management and its position in organizations. One perspective looks at the concept of knowledge management as concepts such as transformational management and change management in organizations. The second perspective believes that in any area of organizations where the concept and position of information management is defined based on various models, including Porter's value chain model, it can be replaced with knowledge management. The third perspective views the concept of knowledge management from a systemic and strategic viewpoint. Based on the third perspective, knowledge management strategy is considered a functional strategy and is placed alongside other functional strategies. In this research, the concept of knowledge management from the perspective of the third viewpoint was considered, and after extensive studies in the literature related to the concept of knowledge management, this viewpoint was selected, and based on it, the conceptual model of the research was designed and proposed. The main hypothesis of the research is defined as follows: alignment between knowledge strategies, knowledge production and development, knowledge transfer, and knowledge application in research institutes, in accordance with the strategy of the research institutes, leads to the improvement of their performance. To test this hypothesis, the statistical population of research institutes affiliated with government organizations and institutions was considered, where comparing their performance with the level of alignment of the strategies adopted by them in the field of the knowledge management system and its subsystems could be a good basis for testing the research hypothesis. After selecting a representative sample of the statistical population, a questionnaire was designed and, after validity and reliability testing, it was made available to the member research institutes of the sample population. The questionnaire contained two categories of questions: one category consisted of closed-ended questions divided from 1 to 5 based on the Likert scale, and the answers provided in this part of the questionnaire formed the quantitative data for testing the hypothesis. The second group of questionnaire questions were open-ended questions, whose descriptive and detailed answers formed the qualitative data for testing the hypothesis. After distributing and collecting the questionnaires, the quantitative data were statistically analyzed using SPSS software. The qualitative data were also analyzed using the content analysis method and analyzed by defining a quantitative alignment index, and finally, statistical analysis was performed on them. The final result of both the quantitative and qualitative analysis of the collected data indicates the confirmation of the main hypothesis proposed in the research.