نشریه مدیریت دانش سازمانی
پیاپی 23 (زمستان 1402)

Knowledge Management Laboratory is a research center that studies develops, standardizes, and evaluates knowledge management knowledge. These laboratories can be established in universities, companies, or other organizations. The most important necessities and applications of creating a knowledge management laboratory are: Advancement in knowledge management knowledge: Knowledge management laboratories can contribute to the advancement of knowledge management knowledge. These laboratories can help to better understand the concepts and processes of knowledge management by applying new technologies, especially artificial intelligence, and conducting theoretical, experimental, developmental, and applied research. In this context, the design and implementation of experimental research play an important role in the development of management knowledge (Ahmadi et al., 2019). Measuring and evaluating knowledge: Knowledge management laboratories can identify and evaluate the current state of knowledge management in universities and organizations based on existing standards of knowledge management and grant a certificate of knowledge management status by using new technologies. Production of knowledge-based products and services: Knowledge management laboratories can use knowledge management knowledge to produce new products and services that support and facilitate the knowledge management process in universities and organizations. Knowledge management knowledge transfer: Knowledge management laboratories can help to transfer knowledge management knowledge. These laboratories can transfer the knowledge of knowledge management to students, employees, and other people by holding training courses and hands-on and virtual workshops. Providing advice and knowledge management services: Knowledge management laboratories can help organizations provide advice and knowledge management services. These laboratories can help them solve these problems by identifying knowledge management problems in organizations.

To play a role in civilization, universities have two main missions, which are: 1) training managers and experts and 2) producing thought and knowledge. The Islamic Republic of Iran, as the main core of the modern Islamic civilization, needs the scientific interaction of the university with society and industry to identify its system of problems in order to carry out these missions. In this regard, the present research has been done with the aim of providing a framework for knowledge networking and knowledge management of universities to play a role in civilization building. This research is of developmental type and was done with thematic analysis method. The main source of information collection for coding is the collection of written statements and documents of the Supreme Leader of the Revolution through keyword search and text reading. Based on this, after considering the data, 77 basic themes and 13 organizing themes and 3 overarching themes including "knowledgeable core", "capable network", "pests" and "results and consequences" in the form of a network map (website), display It will be given. The results of the present research show that the knowledge core in Taraz University of the Islamic Revolution includes the components of science and technology centers, management and leadership campuses, commercialization and technology transfer, and future studies, innovation and knowledge management, and its capable network in the field of achievement The science and technology cadre includes the network of universities, the network of elites and scholars, the network of scientists and the network of knowledge-based companies.

Knowledge is always considered a valuable asset and strength for organizations, and its achievement is a competitive advantage for organizations. Just as sharing knowledge has positive consequences for the organization, knowledge hiding can have destructive effects on the organization's performance in various aspects. It is necessary to encourage the factors that reduce the knowledge hiding behavior of employees, and one of the strongest factors of this is the leadership in the organization. The aim of this study is to systematic review the impact of different leadership styles on knowledge hiding with a meta-analytical approach. From a total of 167 articles that were obtained in the initial search from reliable scientific information and citation databases, 24 articles were finally selected for meta-analysis based on the protocol clauses. The analyzes show that according to the heterogeneity of the reviewed studies in relation to the research hypotheses based on the random effect size, the effect of all leadership styles on knowledge hiding is confirmed. Also, the results of the fail-safe N test show the stability and immutability of the results of this research. The results of this research show that ethical, altruistic, knowledge, inclusive and empowering leadership styles have a negative effect on knowledge hiding and exploitative leadership style has a positive effect on knowledge hiding.

This research was done with the aim of explaining the dimensions and components of knowledge governance in the organization with a systemic approach. The current research was conducted with a qualitative approach and a meta-synthesis method. In this research, 451 related scientific sources were selected from various internal and external sources in the period before 2022, and using the meta-synthesis method and the use of "Critical Appraisal Skills Program" (CASP), finally 105 scientific researches were selected in line with the goal of the research. were evaluated and reviewed. In this regard, by applying a systemic approach and using the open coding method, relevant codes were identified and extracted in three main categories including input, process and output. The findings of the research show that the input of the model includes the nature of organizational knowledge governance (approach, nature and subject). Also, the governance process of organizational knowledge includes requirements, effective factors, obstacles and tools. The output of the obtained organizational knowledge governance model also includes functions and achievements. The topic (conceptual model of organizational knowledge governance) and the approach (system approach) of the current research have an innovative and unique aspect. The results of the present research can facilitate the implementation of knowledge governance in organizations.

The success of accelerators requires continuous growth and improvement of the capacity to absorb knowledge from internal and external organizational resources. In this regard, the present study is aimed to design a model for improving the capacity of knowledge absorption in startup accelerators. This study is an applied-developmental design in terms of purpose, and non-experimental (descriptive) in terms of data collection and a cross-sectional study. Also, in this study, a mixed research method (qualitative-quantitative) is used. The data collection measure in the qualitative section is semi-structured interview, and in the quantitative section, ISM questionnaire is used. The Holsti coefficient is used to validate the qualitative section, The statistical population includes the managers of startup accelerators who are selected by the purposeful sampling method and theoretical saturation was achieved with 15 interviews. Thematic analysis method and Nvivo software were used for data analysis in the qualitative. Then, using the interpretive- structural modeling method, the research model was presented. Finally, using MICMAC analysis, the type of variables has been identified based on their influence and susceptibility to other variables. The research findings showed that the human rsources emmpowerment is the most influential components and is placed at level 4. Therefore, any program or action to enhance knowledge absorption capacity in accelerators should focus on the key and fundamental role of this factor. This components have high penetration power and low dependence in enhancing knowledge absorption capacity in accelerators and is among the priorities for action in improving knowledge absorption in startup accelerators

Rapid technological development, the fluid flow of knowledge, and ever-increasing change are among the obvious features of the environment facing today's organizations. The complexity of the information age will make the new millennium a breeding ground for organizations that harness the amazing capabilities of knowledge and use it to be more successful in the breathtaking marathon of global competition. The tool that these organizations have in their hands to achieve their goals is the knowledge management system. Therefore, the current research was carried out by identifying the antecedents and consequences of the establishment of the human resources knowledge management program based on the human resources onboarding system. This research is applied in terms of purpose and survey in terms of data collection method. The statistical population of the research is the experts, among whom 25 people were selected as sample members using the snowball sampling method based on the principle of theoretical saturation. The data collection tool in the qualitative part of the research is an interview and in the quantitative part is a questionnaire. The validity and reliability of the research interview were confirmed using content validity and theoretical validity and intra-coder inter-coder reliability. Also, the validity and reliability of the research questionnaire were measured by content and retest validity. To analyze the data in the qualitative part, the content analysis approach and the coding method were used using Atlas. ti software, and in the quantitative part, the FCM method was used. The findings of the research show that the most important predisposing factors are dealing with the phenomenon of knowledge inertia, online implementation of training programs required by the organization, ease of access to information and data needed by employees, and dealing with the hoarding of organizational knowledge. Also, the most important consequences of the establishment of the knowledge management system of human resources based on the onboarding system are synchronization with the fluidity of knowledge and the ever-increasing changes in technology, increasing the information literacy and technology literacy of employees, sharing experiences between experienced people and newcomers to the organization and reducing educational costs and organizational socialization.

Today, with regard to preserving the environment and generating sustainable income, the closed-loop supply chain is at the center of attention as a means to reuse products. However, utilizing knowledge management in these chains without modern technologies such as blockchain is challenging. For this purpose, knowledge blockchains have been developed to enhance these capabilities. On the other hand, knowledge-based companies in the country, if they can harness the benefits of knowledge blockchains in their closed-loop supply chain structure, will be able to gain many advantages. This research has been conducted as an innovative effort to integrate knowledge management with the modern technology of knowledge blockchains in the closed-loop supply chain of knowledge-based companies. The objective of this research is to improve the performance and efficiency of these companies in knowledge management and the utilization of knowledge blockchains in the field of the closed-loop supply chain. To achieve this goal, first, by reviewing the research background, 10 factors influencing this research were identified. Subsequently, to validate the impact of these factors on the implementation of knowledge blockchains in the supply chain of knowledge-based companies, a One sample t test was employed. By confirming the influence of 10 significant factors and utilizing data from 14 knowledge-based companies situated in Yazd Science and Technology Park and collecting 83 questionnaires, the current status of knowledge-based companies in implementing blockchains in their closed-loop supply chain was identified using the fuzzy cognitive map technique. Based on the developed system structure, backward and forward scenarios were designed. The research findings indicate that the cooperation factor exerts the greatest influence on the behavior of other research factors. Among other results of the research, we can highlight the significant role of the reliability and security assurance factor compared to the interoperability factor.