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The purpose of this study paper is to identify and prioritize the factors affecting the knowledge flow in high-tech industries.

This research is applied in terms of purpose and descriptive-survey in terms of data collection method. This research has been done in a qualitative–quantitative method. In the qualitative part, due to the nature of the data in this study, expert interviews have been used. The sample studied in this research includes 35 managers and expert professors with experience in the field of knowledge management working in universities and high-tech industries who have been selected by the method of snowball. In the quantitative part, the questionnaire tool and DANP multivariate decision-making method have been used.

In this study, a multicriteria decision-making technique using a combination of DEMATEL and ANP (DANP) was used to identify and prioritize the factors affecting the knowledge flow in high-tech industries. In this study, the factors affecting the knowledge flow, including 8 main factors and 31 subfactors, were selected. Human resources, organizational structure, organizational culture, knowledge communication, knowledge management tools, knowledge characteristics, laws, policies and regulations and financial resources were effective in improving knowledge flow, respectively.

By studying the research, it was found that the study area is limited, and the previous work has remained at the level of documentation and little practical use has been done. In previous research, the discussion of knowledge flow has not been very open, and doing incomplete work causes limited experiences and increases cost and time wastage, and parallel work may also occur. Therefore, to complete the knowledge management circle and fully achieve the research objectives, as well as to make available and transfer the experiences of people working in this field and also to save time and reduce costs, the contents and factors of previous models have been counted. It is designed for high-tech industries, a model for the flow of knowledge.

The purpose of this paper is to investigate the relationship among knowledge management (KM), intellectual capital and organizational innovation. The present literature in these three areas of study, the effect of KM on organizational innovation through the development of intellectual capital has been rarely studied so far. Therefore, in this research, the authors tried to examine the effect of KM processes on organizational innovation through the development of intellectual capital in Iranian industrial organizations.

The data of this research has been gathered and aggregated through the distribution of a closed questionnaire in a sample of 384 people selected from the statistical population consisting 4,589 managers and senior managers of the Iranian industrial organizations. Data were then analyzed using SPSS software and structural equation modeling method which was used to measure the models integrity.

The results of this research indicate that KM processes affect the development of intellectual capital of an organization. KM processes are also effective in promoting innovation in the organization. KM processes also contribute to improving the level of innovation in the organization through intellectual capital development. The results also show that managers need to focus on the development of their human capital through the use of young native educated specialists to maximize internal capacity and knowledge creation and move toward improving human capital of the organization.

The present literature in these three areas of study, the effect of KM on organizational innovation through the development of intellectual capital has not been studied so far. This study of industrial organizations is also a valuable factor in this paper.