فهرست مطالب رضا عبدالله زاده

This research was conducted to determine the role of four dark traits of personality and organizational procrastination in the leadership styles of school principals. The current research method was correlational research. The statistical population of the research included all principals and vice-principals of schools (all levels) of Maku Free Zone (Shot, Poldasht, and Maku cities) in 2022, to number 220 people. All managers participated in the study.The reliability of the questionnaires was calculated using Cronbach's alpha coefficient of 0.83, 0.89, and 0.88, respectively, and the validity of the questionnaires was confirmed using the Factor Analysis method. Data collection tools included a four-dark personality traits scale, a multifactorial leadership scale, and an organizational procrastination questionnaire. Data analysis was done using multiple regression analysis in SPSS version 26. The regression analysis results showed that dark personality traits and organizational procrastination could predict transformational leadership style negatively and exchange and non-intervention styles positively (p≤0.05). According to the findings, it can be suggested that dark personality traits and organizational negligence play a significant role in reducing the transformational leadership style and increasing the exchange and non-intervention styles of managers, which requires more attention in management planning.

. The purpose of this research is to analyze the mediating role of ethical marketing on the effect of human resource management on internal marketing among the employees of Sepeh Bank in the northwest of the country.

This research was applied in terms of purpose and descriptive survey in terms of method. The statistical population of the research was 160 employees of Sepeh Bank branches in Selmas and Khoi. The sample size is 113 people using Morgan table and simple random sampling method. The research tools are internal marketing standard questionnaires (Mooney and Forman; 1995), Safari et al.'s ethical marketing questionnaire (2016) and Andrey's standard human resource management performance questionnaire. Oh you. It was Deval (2004). Structural equation method and PLS and SPSS19 software were used to test the research hypotheses

Data analysis showed that the performance of human resources management has an effect on internal marketing with the mediating role of ethical marketing. The performance of human resources management has a positive and meaningful effect on ethical marketing. Ethical marketing has a positive and significant effect on internal marketing. The performance of human resources management has a positive and significant effect on internal marketing.

Improving the quality of the organization's human resources performance can lead to gaining a competitive advantage and improving the organization's performance. Improving the performance quality of human resources and bank employees is dependent on their satisfaction as internal customers of the organization, and bank management can direct the skills, attitudes and behavior of employees towards the bank's goals through internal marketing.

The aim of the current research is to investigate the role of human resources management measures (performance evaluation) in organizational performance with regard to the role of moral mediator in the employees of the general offices of national banks in the northwest of the country.

 The research method is descriptive survey. The statistical population of this study consisted of 304 employees of general government agencies of the country. Among them, according to Morgan's table, 175 people were selected as a statistical sample, of which 175 questionnaires were distributed by simple random sampling. The instruments used in this research include three Achio organizational performance questionnaires (Hershey and Goldsmith, 2003), Victor and Cullen Ethical Atmosphere Questionnaire (1988) and Evaluation Questionnaire (2005). Also, the reliability of the questionnaire was obtained using Cronbach's alpha coefficient and considering that the Cronbach's alpha coefficient of all variables was higher than 0.70, the reliability of the questionnaire was confirmed.

The structural equation model showed that the moral climate has a significant positive effect on the relationship between performance appraisal and organizational performance. In addition, the indirect effects of human resource management measures on organizational performance are significant due to the role of ethical mediators.

 Professional creativity enables employees to acquire appropriate ethical behavior in performing their responsibilities in the organization. Hence, the ethical behavior of employees is considered as necessary in identifying the success and failure of the organization

In today's world where dynamics of data are so important, using of Spatial Data Infrastructure (SDI) can provide a platform for spatial data sharing. Replacing SDI with GIS in Geomarketing Creates new chapter on Spatial Information-Based e-marketing. SDI-based Geomarketing fixes the flaws and shortcomings of spatial information layers in GIS-based Geomarketing. In this research, a new model of location-based marketing is presented, which uses spatial data infrastructure for the first time. In this regard, based on the available spatial data, Semnan city is divided into 139 statistical areas or urban areas. By sharing the databases of the related executive agencies in the context of spatial data infrastructure, the main demographic and economic indicators related to bank marketing were selected. Through statistical methods of correlation coefficient and multivariate regression, the effective indicators on the number of bank branches have been calculated. The number of businesses index with a coefficient of 0.598 had the greatest impact on the number of bank branches in each region. Finally, using the mentioned demographic, economic and geographical indicators and using the TOPSIS method, the regions of Semnan city were prioritized in terms of banks' marketing indicators, and region 70 has the first priority. The results of the Multiple Attribute Decision Model are considered as a dependent spatial variable in the SDI-based Geomarketing model.

In today 's world, optimizing a successful business depends on using all the resources that make it superior to its competitors. Location-based marketing or Geomarketing leads to critical and effective decisions by analyzing different geographical areas. Spatial information systems marketing is more agile in strategic decision making. In this age where data dynamics are so important, the use of spatial data infrastructure (SDI) can create a platform for spatial data sharing. Spatial Data Infrastructure (SDI) with instant sharing of spatial data can provide a dynamic platform. SDI-based Geomarketing fixes the flaws and shortcomings of spatial information layers in GIS-based Geomarketing. The main advantage of this model compared to previous models, in addition to information dynamics, is that there is no need for an operator to record and store information and produce layers of location-based information in alternating time periods. This is an applied research in terms of purpose and is based on a descriptive method that includes a set of methods that aim to describe the conditions or phenomena under study. In terms of implementation, part of this research is collected in the form of libraries and documents using the theoretical foundations and background of previous research, and the other part is done experimentally and by collecting information from the base statistical reference authorities.Accordingly, in this research, a new model of location-based marketing is presented, which uses spatial data infrastructure for the first time. In this article, we seek to answer the questions of whether the use of Geomarketing based on spatial data infrastructure has an advantage over GIS-based location-based marketing? Is it possible to prioritize the optimal areas by sharing important indicators from different databases of executive agencies in the field of marketing of Semnan banks? In this regard, using this model and based on the data available in 4 databases of related executive agencies, the city of Semnan is divided into 139 urban areas or statistical areas. Afterwards, using the geoportal infrastructure of Semnan province spatial data located in the Management and Planning Organization of Semnan province, the desired registration information layers were shared and model’s maps were extracted. Subsequently, by examining 150 demographic and economic indicators and examining their correlation coefficient with the number of bank branches, it was found that the indicators of literacy rate, household size, population density, distance from the city center, number of important businesses, income decile, number of apartments and number of schools are most relevant with the number of bank branches in each region. Then a model was estimated using multivariate regression. In this model after estimating the model coefficients, the number of businesses index with a coefficient of 0.598 has the greatest impact on the number of bank branches. According to the results of this model, area No. 62 of Semnan city has the most favorable conditions in terms of banking marketing indicators. So the main advantage of this model compared to previous models, is that there is no need for an operator to record and store information and produce layers of location-based information in alternating time periods in addition to information dynamics. In this model, a dynamic model can be achieved by using dynamic information by sharing layers of spatial information in the context of spatial data infrastructure, in addition to maintaining the intellectual property of information. This research is supported by the GIS unit of the Management and Planning Organization of Semnan Province in Iran.

Over the past few decades, the number of universities has grown exponentially, but many of them are financially constrained. In the meantime, financial performance appraisal can support university administrators in making appropriate decisions by recognizing financial status. Accordingly, the purpose of this study was to codify a model for evaluating the financial performance of the university. This research has been applied in terms of the purpose, applied-developmental research and descriptive research in terms of the method which has been done intermittently. The statistical population of this research was all units of Islamic Azad University throughout the country. The statistical sample size was selected based on Morgan's table of 214 units of IAU. To collect data from the questionnaire, the Delphi method and the existing university documents were used. In order to analyze the research data, from Delphi methods and adaptive neuro-fuzzy inference system, adaptive neuro-fuzzy inference system combined with genetic algorithm and adaptive neuro-fuzzy inference system combined with a particle swarm optimization have been used. The research results show that among the designed systems, adaptive neuro-fuzzy inference system combined with a particle swarm optimization with the least error is able to evaluate and predict the financial performance of the university.

The death index and cause of mortality are considered as tools for measuring access to health service and assessing the efficiency of health systems in the contemporary communities. The aim of this study was to investigate the rate and causes of mortality in the population covered by Birjand University of Medical Sciences.

This descriptive-analytical study was performed in Birjand, Iran. All recorded cases of mortality in this region during 2018 were included in the study.  The data were obtained from death recording system. The SPSS software was applied to analyze the data. In this regard, the descriptive statistics and analytical tests were used. The significant level was set at 0.05.

The results indicated that 3699 cases of death had been recorded in the studied population in 2018. The raw mortality rate in the study region was found to be 4.79 cases in one thousand individuals. The average age of death in the population was 66.74 years old. This was 64.73 years in males and 69.08 years in females.  Data analysis showed that cardiovascular (40.38%), cancer (13.52%), and respiratory (12.98%) diseases accounted for the highest number of mortality.

Three common causes of mortality were found to be cardiovascular, cancer, and respiratory diseases. The appropriate interventions in life style and food habits and controlling risk factors such as smoking, fatness, and stress could help to prevent many premature deaths.

Introduction Leishmaniasis is a parasitic disease caused by a number of Leishmania species which is manifested in two forms: cutaneous (cutaneous or CL) and visceral (Kala-azar). The disease is transmitted by the bite of the infected sand flies. The present study aimed at analyzing the epidemiology of cutaneous leishmaniasis and the factors affecting it over the time period from 2012-2016 in South Khorasan Province.
Methods This cross-sectional study was conducted through a descriptive methodology. The subjects included patients diagnosed with CL and treated between 2012-2016. The collected data were statistically analyzed using SPSS v. 21.
Results The average age of the patients was 75.17 ± 89.26. Each patient had approximately 2 lesions on average, with a mean size of 59.1 ± 12.2 [mm]. About 62% of the subjects (263 people) were male. The most frequent cases were observed in 2015 and the least ones occurred during 2014, respectively. Only 3 cases were Afghan citizens while the remaining were Iranians. Patients’ residences were almost evenly distributed.
Discussion and Conclusions The results showed that there has been no decrease in the number of patients over the last few years in South Khorasan. Considering the relatively high incidence of CL in the province and its rising trend, more attention should be paid to educational programs and preventive measures.