knowledge flow

The current research has been done with the aim of presenting a model of knowledge management in universities. In terms of methodology, this research is of the type of applied studies, and in terms of method, it is among the qualitative and meta-composite researches. For this purpose, it was used through searching in the internal and external scientific databases of the Iran Scientific Information and Documents Center (IranDac), Jihad Academic Database, Islamic World Citation Database, Web of Science, ProQuest, Scopus, Google Scholar and Science Direct. 786 articles were extracted according to the defined search strategy, and at the end of the review process, 41 sources were selected for final analysis. The content validity of these documents was verified by the Critical Assessment Tool (CASP) method. In the analysis stage of the selected documents, the sub-components and open codes of these documents were extracted by the qualitative content analysis method and then categorized and combined under the main components and dimensions of the research. In order to validate the findings, the method of comparing the opinion of researchers with an expert was used, and the Kappa agreement coefficient was 0.783. The results showed that according to the nature of the university, four main categories can be considered for the model of knowledge management in universities. Knowledge vision plan, knowledge flow, knowledge transformation and knowledge evaluation. Also, the results showed that the four factors of culture, technology, environment and stakeholders play an important role in the success of the knowledge management model based on the context of knowledge management in the university. In a general summary, it can be said that knowledge management in universities is not limited to a specific time and program, and with the end of the four stages of this model, knowledge management will enter the stage of a new knowledge plan.

The emergence of the Internet of things has created new contexts and processes in knowledge management and knowledge flow in organizations. In this paper, we will see how different forms of this technology facilitate knowledge management and flow in organizations.

This review study adopted the secondary research method and used the results of previous studies.

In its simplest forms, the Internet of things can be utilized in state-run organizations via the use of RFIDs, geographical positioning or face and fingerprint detection systems, surveillance cameras, various sensors, and intelligent systems that process data by using inference engines.

In the near future, the high penetration of technologies such as the Internet of things in state-run organizations will be inevitable. By increasing the speed and precision of collection, creating a huge database, helping the smartization of processes, and improving the information system, the Internet of things can assist organizations in facilitating knowledge generation, development, and dissemination via intelligent data processing and inferencing.

The present study intends to provide a model for knowledge flow in the banking industry by examining the existing models while evaluating the components involved in the knowledge flow. This research is a descriptive-correlational research and is applied in terms of purpose. The statistical population of this study included the employees of the central offices of Bank Melli Iran, whose number is 2211 people. Using a Morgan table, a sample of 330 people was randomly selected from this population. Data collection tool is a 45-item researcher-made questionnaire in 8 dimensions, which was adjusted based on the Likert scale, the validity of this questionnaire was evaluated by two formal methods and factor analysis technique and its reliability was evaluated by Cronbach's alpha method, the results indicate the appropriate reliability and validity of the questionnaire. To analyze the research hypotheses, the method of structural equations using Smart PLS software has been used. The components of knowledge acquisition, knowledge creation, knowledge storage, knowledge sharing, knowledge application, information technology infrastructure and flexible organizational structure Influence the flow of knowledge in the banking industry and the conceptual model of research is a good model for knowledge flow in the banking industry. Knowledge sharing with an impact factor of 0.379 has the greatest impact on knowledge flow status. The results show that the flow of knowledge in the banking industry is very necessary and this industry urgently needs to enter this field of study and operation. Knowledge management is also important in order to establish an effective flow of knowledge in the banking industry. Therefore, it is necessary for banks to first provide the necessary conditions for the effective flow of knowledge in the bank with proper knowledge management in the organization, and thus achieve better performance and profitability in this industry.

In the present time, with the advancement of communication and information technologies, especially in security and law enforcement agencies, knowing, is a huge advantage and ignorance, will be irreversible weaknesses. Obviously, in knowledge-based enterprise development processes, knowledge and information flow is considered to be key components of the development strategy. Therefore, the purpose of this research is to provide a model of law enforcement knowledge flow, technology and innovation tailored to the specific conditions and potentials for organizational development in the police.This article has been written and reviewed by combining two trends from the field of studies with library and documentary methods and by using the upstream documents, expert opinions, authoritative scientific and empirical sources, is designed and presented the proposed model. The society and the statistical sample were selected from the elite group at the level of high-level law enforcement officers, 15 people for depth interviewing in order to explore the components and model indices.The research results of the researchers are in the conclusion of their findings: In general, each of the components of law enforcement information and knowledge flow (including the creation of an innovation environment, the capture of law enforcement information, information sharing, knowledge creation and execution of law enforcement knowledge) directly affects each of the organizational development interventions and it is necessary to carry out the next study through the survey to explain the validity of the proposed model and determine the impact of each of the components on each other.

With regard to the importance of scientific journal in producing the new knowledge, assessing the scientific validity of these journals is a process that could be taken to consider the strengths and weaknesses. So, we can use the content analysis of articles to assessment of journals. In order to study the knowledge flow of disciplinary order and security journal during 1393, 94 and 95, According to data collection from the journal website, were determined number of articles, researchers’ scientific rank, organizational dependence, some sources and the fields of research. Finally, an oversight about the knowledge flow will be available to researchers. The findings of this study show that the most of researchers were men; the rate of acceptance of papers Included 26, 30 and 36. The most contribution in publishing articles was related to Amin University. Findings from content analysis show that the articles of this journal focused on social, managerial, organizational, and environmental security factors. The results of this study shows that this journal tries to absorption high quality articles. This journal has scientific relationship with university professors, master students and PhD students of superior universities for example Tehran University. Also, results showed that articles of this journal focused on Social and managerial factors.

Firms invest in their learning activities to improve their innovative efforts. These kinds of activities are either internal or external. Knowledge which Flows among local actors is one of the external learning factors. Spontaneous knowledge flows among firms without any compensation or with compensation less than the real value is called knowledge spillover. This paper analyzes the effect of knowledge spillover as an independent variable on innovative performance of knowledge intensive firms as a dependent variable. To this end، this qualitative research is conducted using a questionnaire. Data is collected from executives and experts of 66 firms in IT industry located in science and technology parks of Tehran. The results analyzed using SPSS and Smart PLS software and Structural Equations Modeling indicated that knowledge spillover، through labor mobility، informal Interaction and spinoff companies، has a significant positive impact on innovative performance of IT firms based in science and technology parks of Tehran.