درخت حوزه‌های تخصصی

Purpose: this study was conducted aimed to provide a knowledge management model for the branches of the Islamic Azad University of West Azerbaijan Province. Methodology: The present study was applied in terms of aim and quantitatively correlated in terms of implementation method. The study population was 654 faculty members of the Islamic Azad University of West Azerbaijan Province during the academic years 2020-21. The sample size was estimated n = 243 based on Cochran's formula who were selected by cluster sampling method with respect to gender ratio and scientific rank. The data were collected by a researcher-made questionnaire (74 items), content validity of which was confirmed by experts and its reliability was calculated by Cronbach's alpha of 0.90. Exploratory factor analysis and structural equation modeling by SPSS-23 and LISREL-8.8 software were used for data analysis. Findings: The results of factor analysis showed that knowledge management with eight factors of infrastructure and information technology, knowledge management processes, organizational structure and setting, intellectual and innovative capital, human resources and training, knowledge leadership, and organizational management and culture explained 74% of the total variance of knowledge management. The results of structural equation modeling showed that the knowledge management model had a good fit and the eight factors had a direct and significant effect on knowledge management (P <0.05). Conclusion: According to the study results, planning to improve knowledge management through factors o infrastructure and information technology factors, knowledge management processes, organizational structure and setting, intellectual and innovative capital, human resources and training, knowledge leadership, and organizational management and culture is essential. For this purpose, the use of training workshops can be effective.

Objective: Diabetes is a chronic disease that has negative physical and psychological consequences and effective interventions are necessary to reduce these consequences. Therefore, this study aimed to compare the Autogenic training (AT) and Affect regulation training (ART) on the psychological adjustment of women with type 2 diabetes. Methods: Among female patients with type 2 diabetes referred to the Iranian Endocrine Institute, 33 patients were selected by convenience sampling and randomly divided into three groups (AT, ART, and control). Participants answered the Psychosocial Adjustment to Illness Scale (PAIS) before and at the end of the intervention. The subjects of ART and AT groups underwent 10 90-minute training sessions and the control group did not receive any intervention. Results: Data analysis with MANOVA and ANOVA showed that psychosocial adjustment to disease in both ART and AT groups was significantly improved compared to the control group (P <0.05). The two groups of AT and ART were not significantly different in improving psychosocial adjustment to disease (P >0.05). Conclusion: It seems that both interventions AT and ART have been effective in improving the psychological adjustment of women with type 2 diabetes by affecting the conscious or unconscious mechanisms of mind-body communication. Keywords: Diabetes, affect regulation, autogenic training, psychological adjustment.

The aim of this study was threefold: it aimed to develop a field-specific academic word list for accounting, to find the degree of coincidence between the word list and Coxhead's academic word list (AWL), and also to compare the occurrences of the most frequently used words in the list with six available word lists in different disciplines. A large corpus of accounting research articles was compiled and analyzed. We recognized 658 academic word families with the highest frequency in the corpus which we calledAccounting Academic Word List (AAWL ) . These 658-word families accounted for 10.16 % of the whole corpus. Further analysis indicated that out of these high-frequency word families we identified, only 354 coincided with those listed in AWL. Moreover, 50 most frequently used words in the list accounted for 3.98 % of the whole corpus. These words appeared in six available word lists in different disciplines with different degrees of occurrences which is a starting point for the development of a composite word list. Generally, this study confirmed the significance of subject-specificity of corpus-based word lists. The findings of this study suggest that AAWL can be used as a reference for the accounting community.