درخت حوزه‌های تخصصی

One of the main concerns of scholars is the observance of intellectual property rights in the production of knowledge content. Data and knowledge derived from the results of research need to be produced based on ethical issues in order to provide context for solving problems through innovation, scientific accuracy and relevance on the basis of ethical principles. In this research, the intelligent knowledge audit model was designed for Islamic Azad University. The present research is applied and in the first stage due to the recognition of the dimensions of the model, is exploratory, in the second phase, the comparative study of the selected models, and in the third stage is analytical. The data gathering tool were a researcher-made questionnaire and interview. In the present research, a questionnaire was distributed through a sample of 205 professors and PhD candidates in the field of information technology management. The questionnaire was analyzed using structural equation modeling, and the conformity between the independent variables and the dependent variable was presented. In the following, a comparative study of the selected models was performed and after analyzing the interviews with the experts, the final model was designed. As a result, the use of structural and semantic analysis methods in sequence can lead to the prevention of repetitive content. This is heavily needed in order to achieve a systematic ethical responsibility.

The present research aims to design strategic management model in technical and vocational training. The research has qualitative design and for data analysis and classification, thematic Analysis Method (Thematic Network) was applied. The statistical population of the study consisted of experts of the Iran Technical and Vocational Training Organization. The number of 13 participants were selected by purposive method based on experience and expertise criteria. For data collection, the structured and semi-structured interview were used. The data collection process was performed using theoretical saturation technique until it reached the iteration and saturation stage. For data validation, triangulation method was used. Content validity index (CVI) and Content Validity Ratio (CVR) were used to decision making and assess the consensus of experts and to evaluate the reliability, Holstein coefficient was considered. At the end of the thematic analysis process, the conceptual model of research was designed based on the themes extracted and the theoretical foundations of the research. Results showed that number of eight inclusive themes, including strategic goals, external environment analysis, internal environment analysis, strategic analysis, educational goals, technical and vocational training plans, implementation of technical and professional training and evaluation plans, as well as 33 organizing themes and 160 basic themes were recognized for the strategic management model in technical and vocational training. According to results, this model can provide promisingly a suitable framework for strategic management execution in skill training.

Business Intelligence (BI) covers the tasks of collecting, processing, and analyzing large volumes of data. This includes internal systems and external resources, utilizing advanced high-speed analytics and forecasting tools enabling organizations to achieve organizational goals in a timely manner affording immediate decision-making. The main purpose of BI is to help companies improve their performance in the turbulent environment of business and enhance their competitive advantage in this immense data age. Research organizations need integrated information technologies such as business intelligence, perhaps more so than commercial companies need, given the highly competitive environment and increasing progress of various disciplines. The development of such a system, like other organizational information systems, requires the adoption of technology by its users. Various models, including behavioral models, have identified the acceptance factors of information technologies. The purpose of this study is the Interpretive Structural Modeling of factors affecting the adoption of business intelligence technology in research organizations. ISM is a systematic and interpretive process as it is formed based on group judgment and is structured and complemented by common relationships, and finally, depicts the overall structure of several complex elements in a graph model. The sample used in this study was experts of academic research institutes in Tehran. According to the findings, 20 main acceptance factors were modeled in four levels based on interactions between the categories of individual, organizational, and technological criteria.

Due to the dynamic nature of technology, capabilities related to production technologies that have been created for manufacturing new and unique products are constantly changing. Therefore it is essential to monitor the processes and techniques used to understand whether the production of a product fits future circumstances. Leaders of organizations must decide when to switch to a new technology, to maintain and increase competitive advantages. In such conditions, evaluating the maturity of the considered technologies is essential. This article with a conclusive view at various factors affecting the maturity of technology, examines the structuring of the factors affecting the aforementioned maturity. This model is based on Interpretive Structural Modelling (ISM) methodology. The ISM approach enables groups and individuals to identify complex relationships among a multitude of elements in a complex decision-making situation; and it works as a tool for organizing and directing complexities of relationships between variables. This technique starts with identifying variables that are related to the issue, then the contextual relations between the variables are determined using the knowledge and experience of the experts; finally, the multilevel structural model is formed.