مطالب

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.

Selecting suitable suppliers and assigning orders to them, is one of the most important strategic supply chain management activities. Therefore, first, in this research, a mathematical model for choosing the supplier in the supply chain in the framework of the operational research methods was proposed. Linear programming model with consideration of purchase costs and transportation costs with the meta-heuristic bee algorithm approach using MATLAB software was solved and analyzed. Therefore, the research method is applied in terms of purpose, and in terms of method is a descriptive mathematical type that was implemented in the form of a library and field studies. Information gathering tools, such as documentation tools, interviews with experts and production managers were used in relation to production. According to the nature of the research, which is modeling and solving by the algorithm, to determine the sample size were selected by cluster sampling method and random sampling method. Then to validate the mathematical model, lingo and Winqsb software was used, the solution obtained by both software, which is the optimal answer and optimal objective function, indicates the validity of the mathematical model.

Purpose: The aim of this study was to design a knowledge management establishment model with an organizational learning approach in the Social Security Organization of North Khorasan Province. Methodology: The research method was hybrid. The statistical population in the qualitative section included experts and specialists in management sciences and senior managers of the Social Security Organization, 20 of whom were selected using the principle of theoretical saturation as a non-probabilistic sampling method (purposeful and judgmental). In the quantitative part of the statistical population, including 1475 managers and employees of the Social Security Organization in the insurance and medical departments in 2016, who had at least a university degree with five years of service in the Social Security Organization, a sample of 314 people The two-stage stratified sampling method was selected with proportional allocation. The main research tool was the Knowledge Management Questionnaire, the validity of which was formally guaranteed using content and scientific components and components. The reliability of the questionnaire with Cranach’s alpha coefficient was 0.89 for knowledge management and 0.85 for organizational learning. Findings: After analyzing the information and testing the proposed model and the results obtained from structural equations, the final model of knowledge management deployment with 6 dimensions including (culture and value, organizational structure, organizational strategy, technology, process and human resources) and organizational learning It was finalized in 4 dimensions including (knowledge acquisition, knowledge dissemination, information interpretation and organizational memory). Also Findings showed that the human resources dimension has the greatest impact on the establishment of knowledge management and the two dimensions learning. Conclusion: The results also showed that organizational learning is effective at 0.74 on the establishment of knowledge management. Based on this, it can be concluded that in order to establish knowledge management in the Social Security Organization of Khorasan Razavi Province, in addition to paying attention to the six dimensions of establishing knowledge management, attention to organizational learning and its four dimensions, especially the two dimensions of knowledge acquisition and knowledge dissemination is necessary.