درخت حوزه‌های تخصصی

Purpose: Considering the role and importance of establishing knowledge management in various organizations, the purpose of this research was to provide a model of factors affecting the establishment of knowledge management in the sailing federation. Methodology: This study was of applied method in terms of purpose and quantitative in terms of execution. The study community was the employees of the Iran Rowing Federation in 1401, 20 of whom were selected as a sample using targeted and snowball sampling methods having conditions to enter the study. The samples responded to the researcher-made questionnaire of the factors affecting the establishment of knowledge management in the sailing federation (44 items) and its validity and reliability were evaluated appropriately. Data were analyzed with exploratory factor analysis and structural equation modeling methods in SPSS and Smart PLS software. Findings: The findings showed that the factors affecting the establishment of knowledge management in the sailing federation have 14 factors of understanding and insight in employees, expertise of employees, committed managers, participation of employees, motivation of human resources, expertise in knowledge management processes, strategic processes, rules and internal processes, functional processes, innovative processes, technological capabilities, technological infrastructures, technological communication and recognition of knowledge management technologies. Also, the factor load of all factors was higher than 0.50, the convergent validity of all factors with the average variance extracted method was higher than 0.40, and the reliability of all factors with the combined method was higher than 0.70. In addition, the model of factors affecting the establishment of knowledge management in the sailing federation had a good fit, and the effect of all paths was evaluated as appropriate. Conclusion: According to the results of this study, an effective step can be taken to improve the establishment of knowledge management in the sailing federation through the identified factors.

Purpose: Electronic Tourism is one of the important components of expanding Tourism by synchronizing this industry with information technology. It has not been long since its emergence. Methodology: this field is a combination of tourism and information technology that is one of the most common types of income-generating businesses which is producing job opportunities in the modern world. The advancement of science alongside communication and information technologies presented many opportunities and threats to this field due to tech such as smartphones and sensors, virtual and augmented reality tools, NFC, RFID, etc. Findings: The disclosure of the tourists' information and the possible abuse of it is one such threat. Therefore privacy and non-disclosure of information should be important factors. Recognition of reputable sites is an important factor in solving this problem. In this study, we have presented a model for recognizing fake and phishing sites which use the CFS+PSO and a combination of Info+Ranger alongside their results to reduce the test dataset features so that it could present a model for categorizing and higher accuracy in recognizing phishing sites by using the Multilayer Perceptron method. The proposed model was successful in recognizing 95.5% of phishing sites. Counclusion: The effect of information technology on the tourism industry and the usage of internet websites for selling and providing tourism services to tourists have created new security challenges. Protecting the privacy and personal information of people and tourists is one of these challenges and the disclosure of such information could lead to abuse by unqualified people and dissatisfaction and distrust of such systems.

Purpose: The purpose of this research is to design and evaluate the effectiveness of the social responsibility model of companies active in the capital market affected by the epidemic of the Covid-19 disease. Methodology: The current research is a mixed research (qualitative-quantitative) and is practical in terms of purpose. In the qualitative part, nineteen members of the expert panel were determined using the snowball method. At the same time, G_Power software was used to determine the size of the statistical sample in the quantitative section, which determined it to be 120 cases. In order to analyze the data to reach the research objectives, Delphi technique was used in the qualitative part. Also, in the quantitative section, structural equation modeling using SmartPLS software was used to measure the efficiency of the model. In the qualitative section, after reviewing the research literature, 19 primary indicators were identified in the form of three main components, and the opinions of the expert panel members were used to measure their effectiveness using the Delphi technique. Finally, after two rounds, this technique reached the saturation stage. Findings: In the quantitative part, using the PLS technique, it was found that all three main components have a positive and significant effect on social responsibility, and at the same time, in terms of the severity of the order of the factors, it is internal factors, macro factors and company characteristics. Conclusion:The results of this section show the removal of three indicators from the primary indicators and at the same time the addition of four secondary indicators, which led to the identification of three final components and twenty sub-components.