درخت حوزه‌های تخصصی

Purpose: The aim of this study was to investigate the harm of successful deployment of knowledge management system in urban management. Methodology: This was an applied study in terms of the purpose, and a descriptive-survey one in terms of method. The statistical population (403 ones) included all managers, deputies and experienced staff of selected municipalities in west of Mazandaran Province (Ramsar, Tonekabon, Noshahr, Noor, Amol and محمودabad) in 2018; the research was done based on data collected from 201 participants were according to the Cochran formula with relative stratified sampling method. Kolmogorov-Smirnov test, single sample t-test, confirmatory factor analysis and Friedman test were used to test the research hypotheses. Findings: Chi-square statistic in the model was 37.241, the freedom degree of the model was 100, which was approximately in the range of acceptable value. On the other hand, the fit indices of model such as NNFI, NFI, GFI, CFI and IFI were all appropriate and the RMR index was 0.083. Conclusion: According to the results of standard coefficients, t values and R2 values in confirmatory factor analysis, in all dimensions introduced in the conceptual model of the research including 1. Organizational structure, 2. Environmental factors, 3. Technology factors, and 4. Human resources, were effective as a social harm in the failure to the successful deployment of knowledge management in urban management.

Purpose: The aim of this study was to investigate the effect of artistic intelligence components on students' mental health. Methodology: his study was applied in terms of purpose and descriptive-correlational in terms of data collection and quantitative in terms of method. The statistical population was all the first high school students in Sari city in the academic year 20-2019 that according to Krejcie and Morgan table, 361 people were selected by multi-stage cluster sampling. The measurement tool was a researcher-made questionnaire of art intelligence with 55 items and mental health of Omidian and Alavi Langroudi with 46 items whose construct validity, using factor analysis method and reliability value through Cronbach's alpha coefficient, respectively. 0.94 And 0.92 were calculated. Data were analyzed using Pearson correlation coefficient and regression analysis. Findings: The results showed that there is a significant relationship between artistic intelligence and its components (artistic talent, artistic attitude, artistic taste, artistic activity, artistic skills and art economics) with students' mental health. The components of artistic intelligence have a significant impact on mental health, as a total of 57% of students' mental health is explained (predicted). Also, the artistic taste component has the largest share in predicting students' mental health. Conclusion: By creating the necessary opportunities, the necessary grounds for the flourishing of talents and the participation of all talented and artistic students can be provided, and by thanking and appreciating them and awarding prizes on various occasions. , Provided the grounds for their encouragement to develop their artistic skills.