جستجوی مقالات مرتبط با کلیدواژه « social security organization » در نشریات گروه « اقتصاد »

Social security organization, as the largest active institution in the field of social security and insurance of the country, plays a critical role in the social, livelihood and economic situation, so that any kind of disturbance in the economic situation of that organization creates a crisis in the entire economic system. provides Since the fulfillment of the obligations of the organization to the society is based on the economic ability and the resources it has, it is necessary to make a detailed analysis of the factors affecting the resources of the organization and make policies accordingly. In this research, the effect of monetary and financial policies on the state of social security organization's resources has been investigated in two models. The time period of the research is between 1350 and 1399, and in order to analyze the data, the vector autoregression method with distributed intervals (ARDL) was used. The results of the research show that the real GDP, liquidity, interest rate, exchange rate, support ratio and the ratio of compulsory workers to the total insured have a positive and significant impact on the state of social security organization's resources. Also, the effect of the ratio of tax revenues to GDP on the organization's resources is negative. In this regard, in order to improve the situation of resources, it is suggested that, in addition to economic policies (such as no excessive growth of taxes, regulation of liquidity and interest rates at a level commensurate with the increase in economic growth), population policies and increasing youth The population should also be given enough attention.

The approach of green management comes from paying attention to sustainable development and, as a result, sustainability with social approaches and economic motivations, the health and safety of the employee community, as well as the publication of the desired public image of the organization in the long-term time horizon.

This research was to compile the development system of green human resource management in the country's social security organization, with an analytical approach and classification of components and recognition of factors, which in terms of methodology is the type of applied and survey research.

After analyzing the records, the present study reached theoretical saturation from the qualitative method and in-depth interviews on 10 managers of the country's social security organization using the targeted sampling method and theoretical sampling, and then the information obtained using the method The analysis of the investigated theme and the paradigm model have been made.

The findings of the research showed that the identification of development factors in the management of green resources in the country's social security staff includes green training and development, green recruitment and recruitment, green maintenance and green employment.

The investigations carried out based on the green human resources management development system show the existence of development factors in the system, which shows the effectiveness of the correct formulation of the green management development system in the country's organizational system.

The purpose of the present research is to study the relationship between creativity and knowledge management with four components (discovery and creation of knowledge, preservation and maintenance, knowledge establishment and sharing, knowledge) according to the nature of the subject and the goals of the research, the present research is descriptive of the correlation type and the statistical population of the research includes There are 1100 employees, official, contractual and contractual staff of the Social Security Organization, based on Morgan's sampling table, 285 people were selected as a sample by simple random sampling method to collect information from the two standard questionnaires of Robins' creativity and Joseph's knowledge management. Haddad has been used to analyze the data, Pearson's correlation coefficient and multivariate regression statistical methods have been used, and spss statistical software was used in this regard. The results showed that there is a positive and significant relationship between creativity and knowledge management. and also knowledge management components can predict creativity.
The promotion of organizational creativity based on knowledge and foundation can be very efficient in dealing with environmental threats. Knowledge management is a management tool to achieve the organization's goals. The implementation of knowledge management by considering information technology - culture - motivation analysis - can be a strategy for good luck. Organizational creativity.

The current research examines the relationship between organizational culture and the quality of work life and customer relationship management among social security organization employees, which is new in its kind. In this research, Robbins' model was used to measure organizational culture, Walton's model was used for work quality, and Sin et al.'s model was used for customer relationship management (CRM). The statistical population of the research includes the employees of Khorasan Razavi Social Security Organization in the seven branches of Mashhad, whose number is 750 people, and 254 people are considered for the sample size of the research according to Morgan's table. The tool used to compile the questionnaire was a standard one, which has the necessary validity and its reliability was calculated using Cronbach's alpha coefficient, which shows the internal consistency of the questionnaires. The results obtained based on the structural equation model test indicated the existence of a significant and positive relationship between organizational culture and customer relationship management and the quality of work life, as well as a significant and positive relationship between the quality of work life and customer relationship management. In addition, the results showed that the quality of working life mediates the relationship between the subjective well-being of shareholders and the management of relationships with customers.

The pension coverage of the Iranian Social Security Organization for self-employed workers is offered at three contribution rates of 12, 14 and 18 percent, but looking at the statistics shows that the demand for these types of insurances is low. This research investigates the characteristics of these insured groups by using data mining and applying two machine learning algorithms, decision tree and random forest, and predicts their behavior by providing a classification model. This will help the Social Security Organization to improve customer relationship management. For this purpose, the information of 1286174 insured persons of self-employed in 2020 was used, which includes the characteristics of age, gender, average monthly income, the years of service, and the type of self-employed pension scheme. The obtained results show that women mainly apply for the scheme with 12 percent contribution, while men tend to be covered by schemes with contribution rates of 14 and 18 percent due to the burden of supporting the family. Also, for men, the demand for schemes of 14 and 18 percent increases with the increase of age, income and years of service, but there are no such trends for women. According to the obtained results, years of service and then gender are decisive in choosing the type of pension scheme in such a way that according to the prediction of the model, people with less than 4.5 years of service are known as definite applicants for 12 percent self-employed pension scheme.

This research seeks to identify and analyze the drivers affecting the future of the income sources of social security organization. The theoretical population was the managers of the social security organization and experts in this field. The sampling was done judgmentally, and the sample size amounts to 15 people. Data collection tools were interviews and questionnaires. As for the findings, 35 sub-drivers were classified as economic, socio-cultural, structural, financial and investment, policy, marketing, environmental and legal drivers. These drivers were screened by distributing expert questionnaires and using Binominal's test. 13 drivers have significance coefficient of less than five percent and were selected for final prioritization. These drivers were evaluated by the Copras method and account for three criteria of experts' expertise, certainty, and importance. The driver of using the capacity of FinTechs and their innovations for financing and investment had the highest priority. Accordingly, the concluding suggestions were: using digital financial technologies and artificial intelligence to increase investment efficiency, using new financing methods such as crowd-funding, avoiding divesting loss-making companies to the organization, and strengthening good and efficient governance in the holdings of the organization.

The Laffer curve represents a parabola relationship between tax revenues and tax rates, and identifies the tax rate that maximizes tax revenues for the government. The aim of this paper is to test whether there is such a relationship between contribution revenues and contribution rate in Iranian Social Security Organization. Moreover, if the answer is yes, what is the contribution rate that maximizes revenues for the Organization? In this regard, we have used an Autoregressive Distributed Lag (ARDL) model. The results for the period of 1979-2016 show that the impact of effective contribution rate on the Organization’s revenues has the shape of an inverted U. Therefore, the results confirm the Laffer effects of this rate on the Organization’s contribution revenues. Additionally, a contribution rate of 20.34 percent will maximize the Organization's revenues.

This research aims to provide a performance-based budgeting model in the social security organization which has independent and similar departments across the country. The statistical population of this research is the Social Security Organization Insurance's department. Following the library reviews and adapted from the performance indicators of the subcommittee of the insurance company's deputy, 38 functional indicators have been identified for the departments of the provinces and their respective branches. Then, the associated information regarding these indicators, extracted from the Statistical Yearbook of Economic and Organizational Planning, have been weighted by using Shannon's entropy method. Hence, based on real data of 2017 and on the basis of the province's degree of availability and regional equilibrium, the model is formulated. The results of applying the proposed model and comparing it with the current organization show that the organization's current method in budget allocation is not optimal.

This paper tries to develop a mathematical model to assign an optimal site for Insurance Organization branches in eastern part of Tehran by using the data of Social Insurances Organization. So, designing and developing service network and determining a proper site to set up the centers of services is a vital issue. Factors affecting the location include land price, ensured population, closeness to the parking, organizations, clinics, banks, underground-station, bus-station, highways. By using questionnaire and performing pair-wise comparisons of the determinants and then analyzing the data collected by Eigenvector method, the effectiveness coefficients of each determinant will be determined. Numerical results of MADM model will be inserted in the second objective function defined as 0 and 1 that means the organization branch in that location must set up or not. Finally, the model will be solved by Excel and a proper location determined for setting up the branches.