مطالب

INTRODUCTION: The Red Crescent Society of the Islamic Republic of Iran is a human-centered organization. Therefore, the competencies of its employees must be improved to make it possible for them to have their best performances. In this regard, the present study aimed to investigate and identify the factors that affect the development of key human resource competencies in the Iranian Red Crescent Society and design an appropriate model for its evaluation. METHODS: The present applied qualitative research used an exploratory approach. The statistical population of this study consisted of managers and experts in the field of human resources of the Red Crescent Society who were selected using the snowball sampling method. Moreover, the required data were collected through semi-structured in-depth interviews and we reached saturation after 26 interviews. The collected data were analyzed using the Straussian version of grounded theory. Finally, the collected data were analyzed in the MAXQDA software (version 10). In total, 72 concepts, 568 sub-concepts, and 19 categories were identified in this research. FINDINGS: Five out of the seven fundamental principles of the Red Crescent Society and the International Committee of the Red Cross, including the principle of humanity, voluntary service, neutrality, impartiality, and independence are among the foundational factors and necessities of the development of human resources competencies and were axially coded in causal conditions. Improvement and development of individual, organizational, social, and professional competencies were the four main categories of this research that were selected as the main strategies for the development of human resource competencies. CONCLUSION: According to the results of data analysis, employing appropriate strategies for the evaluation and development of key human resources competencies can have beneficial consequences. More specifically, these categories include human resource efficiency, provision of desirable social services, enhancement of the community health, improvement of human values, increase of public trust and participation, and improvement of the financial position of the organization.

INTRODUCTION: Today, the expansion of urbanization has located cities and residential areas in places exposed to various types of hazards. Natural hazards are characterized by low predictability and can cause numerous human and financial losses to urban settlements. Making cities resilient is one of the United Nations International strategies for disaster mitigation. With this background in mind, the present study aimed to prepare a physical-social resilience map of the study area. METHODS: This descriptive-analytical identified the criteria and indicators of physical and social dimensions after the revision of experimental and theoretical texts. After the identification of indicators, the map of the resilience or non-resilience of the indicators was prepared in binary form. Finally, two methods of Boolean and indicator overlap were used to combine the layers. In the current research, the Fuzzy Analytical Hierarchy Process-Technique (FAHP) was used for weighting the map of the studied layers. FINDINGS: Based on the result of the Boolean model map, more than half of the total district will be non-resilient. Nonetheless, according to the result of the indicator overlap method, 7.68%, 24.71%, and 67.61% of the total district has low, average, and high resilience, respectively. CONCLUSION: According to the resilience map obtained in the study area, it can be stated that resilience in these areas is not favorable. Moreover, Darband region and its surrounding streets are not in good condition. Therefore, management programs should be implemented in low-resilient areas before the onset of disasters.

INTRODUCTION: Rescue and relief organizations start their operations from the first moments after the occurrence of a disaster. Moreover, they set up emergency accommodation camps after the emergency period to deliver aid and health packages with standard content based on the general needs of the affected people. However, if a family has infants, children, elderly, or sick members, these packages will not be able to meet their needs. Cash donations instead of goods respect the human dignity of the affected people after the emergency period and result in the recovery of the families and the economy of the region. Usage of information technology for this purpose leads to speed, accuracy, and transparency in the implementation of the above-mentioned method. Given the differences between the situation in Iran and the international community, the present study aimed to find localized components that affect the provision of cash-based interventions to the affected people by natural disasters using information and communications technology. METHODS: This mixed method research was performed in two stages; meta-synthesis was used in the first stage and Fuzzy Delphi was used in the second stage to extract the domestic components of the cash-based interventions. The statistical population in the meta-synthesis stage was the local and international journals as well as the performance reports of international aid agencies published during 2004-2019. Finally, through sample selection and systematic selection based on the defined keywords, 71 out of 388 studies were selected for the purposes of the research. In the second stage, the statistical population consisted of executive directors of local aid agencies and crisis management instructors at universities and international workshops. Eventually, 14 experts were selected judgmentally who participated in three Delphi rounds. FINDINGS: In the first stage, 18 components in four categories were determined using the seven-step model of Sandelowski and Barroso. In the first round of Delphi, one component was omitted and six other components were added according to the opinions of the experts. However, in the second and third rounds, all the components were approved by them without any further changes. According to the obtained Kendall’s rank correlation coefficient which was about 0.703, the local components were agreed upon by the selected experts. CONCLUSION: The determined local components that affect the process of transferring cash-based interventions to the affected people by natural disasters using information and communications technology consisted of 23 components that were screened and confirmed by the experts. These components can be used as a basis for the development of a process model for the systematic electronic transfer of money to the affected people by natural disasters in Iran after the emergency response period.