Red Crescent Society

INTRODUCTION: The improvement of human resources refers to the activities through which the employees continuously keep pace with the changes and growth of the organization. It involves the improvement of the skills, knowledge, and capabilities of the employees in the perceptual and operational dimensions to increase the efficiency of the employees' performance. The present study aims to identify and rank the factors affecting the improvement of human resources in relief organizations in the RCS in Yazd province. METHOD: The present study is applied in terms of purpose and descriptive survey methodically. The statistical population included all the senior employees and experts of the RCS of Yazd province (478 people). About 215 people were selected based on Cochran's formula. Data analyzed using fuzzy SWARA and SPSS-24 software. FINDINGS: According to the findings, 21 factors affecting the improvement of human resources in the RCS of Yazd province were identified and prioritized using the fuzzy SWARA technique. It gives this opportunity to decision-makers and policy-makers to choose their environment and strategy based on the current situation. CONCLUSION: The results revealed that the highest weight or the most important factor is the implementation and evaluation system (development of group activities and team building).

INTRODUCTION: The continuity and development of rescue and relief services requires recognition and improvement of the capacities of this field, and above all, it requires a tool to measure the capacity of this policy. The purpose of this research is to design a model for measuring the policy capacity of providing rescue and relief services in Iranian Red Crescent Society (IRCS). METHOD: This qualitative and applied research was conducted with the content analysis method. In order to collect data, the policy capacity literature and laws in the field of "rescue and relief " and "crisis management" were reviewed. About 12 experts were selected and studied as the statistical population using the snowball method until reaching theoretical saturation. Data were analyzed by qualitative content analysis method (inductive approach) and Maxqda-20 software. Content validity and reliability were checked with Content Validity Index (CVI) test and Holsti’s method, respectively. FINDINGS: According to the findings, about 113 indicators were identified which were classified in three levels including individual (34 indicators), organizational (48 indicators) and systemic (31 indicators). All these three levels consist of the subcategories such as analytical, operational and political-social capacity. CONCLUSION: Policy capacity is a multi-level and multi-dimensional concept. For the development of rescue and relief services, the capacity status of this policy should be determined at different levels and dimensions and due to the needs and conditions, capacities should be upgraded. However, it should not be enough to develop the capacity at one level or one dimension.