foad makvandi

A healthy and efficient administrative system is the main factor to development programs, and competent human resources play a key role in achieving the administrative integrity. electronic recruitment through having hardware, software configurations and electronic computer network resources reduces organizational time and costs, improves effective communication and creates transparency; And by focusing on the selection and hiring of competent employees, it reduct administrative corruption and develop administrative integrity. The purpose of this research is to identify the indicators of the E-recruitment to improve the administrative integrity in the National Iranian Oil Company. This research was conducted in the framework of a qualitative approach and the theme analysis method was used to analyze the data. The statistical population includes 15 National Iranian Oil Company experts, who were selected by purposeful sampling. To identify the indicators and design the research model, a semi-structured interview method was used and coding was done through MAXQDA2020 software. Reliability was measured using the test-retest method and validity through four credibility criteria, transferability, dependability, and confirmability. The indicators of the e-recruitment system to improve administrative integrity were extracted in the form of 7 main themes, 17 sub-themes and 42 concepts. E-recruitment system in the National Iranian Oil Company leads to develop of the administrative integrity if it has the following criteria: comprehensive and integrated electronic system, management support, competence, transparency, rule of law, justice-oriented and responsiveness.

The aim of this study is to examine and test the holographic organization model with an intellectual capital approach in the National Media Organization. From the perspective of its purpose, this research is applied in nature, and in terms of data collection method, it is descriptive-survey. Data were collected using a researcher-designed standardized questionnaire. The statistical population includes all employees of the Islamic Republic of Iran Broadcasting (IRIB). The sampling method was cluster sampling, with approximately 48,330 employees, from which 381 individuals were selected as the sample using Cochran’s formula. Subsequently, the composite reliability and reliability of each component of the study were calculated, and the results indicated the reliability of the measurement tool. Furthermore, the discriminant and convergent validity of the questionnaire confirmed its acceptable validity. For data analysis, structural equation modeling (SEM) was conducted using Smart PLS4 software. The results demonstrated the factor loadings, significance levels, and the relationships among the main and sub-themes of the holographic organization model in IRIB from an intellectual capital perspective. Additionally, the model’s fitness and alignment with the context of IRIB were assessed as appropriate. Therefore, it can be concluded that this model, by focusing on holographic structural capital, holographic leadership, holographic human capital, holographic relational capital, and holographic technology and knowledge, plays a significant role in the National Media Organization.

The present study aims to formulate policies for developing the government's revenue portfolio using a futures research approach. This research seeks to identify and explore possible futures and scenarios for the development of the government's revenue portfolio and strives to formulate strategies based on the most desirable scenarios. The study falls within the domain of futures research and is classified as qualitative research, utilizing the scenario-writing method. The statistical population of this study includes "experts in the fields of economics and policymaking" categorized into three groups: (a) academic elites, (b) economic managers and decision-makers, and (c) economic decision-makers in parliament. After selecting the experts, a structured inquiry process was conducted to collect their views regarding the government's revenue portfolio. Ultimately, after screening the variables, 84 variables were identified within eight dimensions as the primary macro variables affecting the government's revenue portfolio: legal factors, cultural and social factors, economic factors and sub-sectors, global and international factors, structural factors, banking and financial factors, science and knowledge-related factors, and political factors. Subsequently, using the cross-impact analysis (structural analysis) method through MICMAC software, the key influencing factors shaping the future state of the studied environment were analyzed. Based on this analysis, the key influencing variables affecting the development of the government's revenue portfolio include natural gas and petrochemical industries, agricultural economy, inflation rate, labor market conditions and employment levels, stock prices and stock exchange performance, free trade zones, tax return conditions and amounts, consumption tax rates, interest rates, non-financial government revenues, locomotive industry, heavy industries (steel, electricity, and automobile manufacturing), income tax rates, tariffs and various production and employment barriers, traffic economy, foreign investment inflows, housing market conditions and prices, textile industries, construction and urban development, unemployment rate, and government revenues from natural resources.

A requirement for comprehensive development is to have healthy and dynamic organizations, consisting of creative, productive and committed human resources which provide the growth and prosperity. The electronic training and development system plays an important role in administrative integrity through effective promotion of knowledge, skills and ethical behaviors. The purpose of this research is to explain the indicators of the E-training and development to improve the administrative integrity in National Iranian Oil Company. This research was conducted in a qualitative approach and the theme analysis method. The statistical population includes 15 experts of National Iranian Oil Company, who were selected by purposeful sampling (theoretical saturation). To identify the indicators and design the research model, a semi-structured interview method was used and coding was done through MAXQDA2020 software. Reliability was measured with Holsti method and validity through four criteria of credibility, transferability, dependability, and confirmability. The indicators of the electronic training and development system to improve administrative integrity were extracted in the form of 6 main themes, 13 sub-themes and 33 concepts. The findings have shown that the electronic training and development system leads to improving administrative integrity if it includes 6 main criteria: comprehensive and integrated electronic system, competence, transparency, management support, justice-oriented and communication. The results of the research have shown that the electronic training and development system with emphasis on meritocracy and justice-oriented principle, formulation of transparent procedures and regulations, management support in accountability and participation will lead to the improving administrative integrity.

Organizations of the 21st century are different from those of the past and require new leadership methods. Traditional organizational leadership styles are not helpful for the new era. One of the new methods is utilizing neuroscience and brain science in leadership. Neuroscience-based leadership, as an emerging domain, aims to improve and enhance leadership activities and obtain new positive methods for creativity, innovation, and employee commitment. Today, leadership in educational organizations, especially in education, is of great importance. Educational organizations are those that have knowledge-based outputs. On the other hand, educational organizations face challenges and problems, including the lack of specific leadership mechanisms to improve performance, insufficient knowledge among leaders in interacting with employees, and the application of traditional leadership. Furthermore, a comprehensive model of neuroscience-based leadership in educational organizations has not yet been developed, and if a model has been presented in other countries, it has been tailored to their unique structural, cultural, and human characteristics and has not been ecologically validated. For these reasons, the researcher, identifying this as a necessary need, has focused on enhancing existing findings and expanding the literature of previous research, and this study has been conducted to provide a neuroscience-based leadership model in the education sector of Lorestan province.

The research is practical in nature and, in terms of execution, is considered a mixed qualitative and quantitative study. The qualitative method was conducted in two phases; in the first phase, a meta-synthesis was utilized. For the meta-synthesis, the 8-step method by Xiao and Watson (2017) was employed, which includes setting questions, developing a systematic review protocol, searching literary background, screening and selection, quality control, data extraction, analyzing and combining findings, and reporting findings. A total of 37 selected articles were used for the meta-synthesis, and primary dimensions and components were extracted using coding. In the second qualitative phase, a sample of 15 individuals was purposefully selected to form a Delphi group. Two Delphi rounds and data synthesis were conducted, resulting in consensus and theoretical adequacy. Reliability and validity in the qualitative section were confirmed by the expertise of the Delphi panel. In the quantitative phase, a researcher-constructed questionnaire was used. In the quantitative questionnaire, the content and face validity method was utilized. Cronbach's alpha coefficient was used to determine reliability. The Cronbach's alpha value exceeding 0.7 confirmed the suitability of the questionnaire's tool. In the quantitative section, from a statistical population of 1222 individuals, 292 samples were selected using Cochran's formula and stratified random sampling. Structural equation modeling and Smart PLS-3 software were used to analyze and examine the data.

For modeling neuroscience-based leadership in educational organizations, 17 components were identified and extracted. The components are: foresight, organizational effectiveness, strategic use of human resources, individual autonomy, flexibility, experiential thinking, paradigm shifts in leadership, high-level thinking, communication abilities, employee motivation abilities, problem-solving, learning behaviors, focus, change management, emotional management, alignment between technology, processes, and employees, and emotional intelligence. The results of this research indicate that all components have been confirmed, and overall, the model has a good fit. This model is based on strong scientific foundations as each component is supported by one or more scientific studies.

With these neuroscience-based leadership components in educational organizations, managers and organizational leaders become empowered and can display appropriate and constructive behavior in their interactions and relationships with employees. Understanding how brain and nerve processes work can influence the behavior and decisions of organizational leaders and help managers implement more effective and better practices for educational management. Utilizing these components makes the work environments more friendly for the human resources' minds and brains, enabling organizational managers and leaders to move forward on the path to achieving organizational goals.

The purpose of this research is to present a conceptual model of organizational democracy with an emphasis on the development of psychological capital in the employees of National Iranian Oil Company. The research method is quantitative, and a researcher-made questionnaire was used to collect data, analyzed by SPSS and SmartPLS 3 software. The total number of the studied statistical population is equal to 100,000 people, 200 of whom were selected from all the employees of the National Iranian Oil Company, and we reached a sample of 200 people through Crejci and Morgan for limited communities. Therefore, in the second stage, 220 questionnaires were distributed among all employees of National Iranian Oil Company, and finally 211 complete and intact questionnaires were delivered. After confirming the reliability and validity of the questionnaire, the results showed that some causal components such as the attitude and perspective of managers, structural factors, manpower planning, macro political and social factors have the greatest impact on organizational democracy based on the development of the psychological capital of the employees of National Iranian Oil Company, and then strategic factors such as organizational learning, succession training, support and knowledge management have the greatest impact in creating the consequences of the implementation of democracy in the National Oil Company.

This research was done in the direction of providing a smart road map of urban services in the direction of urban justice in the city of Ahvaz and with the aim of providing a new approach in the category of urban justice and through the mechanism of smartening urban services. The research method was descriptive and of the structural equation model type, which was applied in terms of purpose and was carried out in the field in the statistical community. The statistical community consists of experts in the field of urban services of Ahvaz metropolis; Among the sample of this research, 120people (Cochran's formula) were selected from these experts in a purposeful way. Thefindings of the research showed that the basic components for providing a smart road map in order to deal with the crisis of injustice in Ahvaz metropolis include: the components of urban justice, integration and smartening of urban services, which have an independent and influential role in other factors. The results of the research showed that the existence of a smart road map of urban services is a basic and justice-oriented strategy that, by combining smart platforms in urban services, leads to the integration and smartening of urban services in order to achieve urban justice in Ahvaz metropolis; Therefore, in order to realize urban justice in Ahvaz metropolis, it is necessary to take basic steps in the field of providing a road map for the smartening of urban services.

The current research was conducted with the aim of providing a model for the development of relationships with suppliers of consumer products in Abadan Oil Refining Company. The research method is qualitative and based on the data theory of the foundation. To collect data, semi-structured interview was used and data analysis was done by Strauss and Corbin method and paradigm model.Keywords: suppliers, relationship development, consumer products. The statistical population was experts and managers with experience in Ibadan Oil Refining Company, from which a sample of 21 people was selected after reaching theoretical saturation. Sampling has been done theoretically and using targeted (judgmental) techniques. The results of the analysis of the data obtained from the interviews, during the process of open, central and selective coding, led to the creation of models of the development model of the relationship with the suppliers of consumer products in the Abadan Oil Refining Company based on the data theory of the foundation, which ultimately provided a model for the development model. Communication with suppliers of consumer products was identified. The findings of this research indicate that for the success of the development model of the relationship with the suppliers of consumer products, company managers can pay attention to the identified categories and subcategories and if they match the conditions of the company, from this category. use In addition, this research shows the need to pay attention to the development patterns of relationships with suppliers of consumer products.

In an exploratory way, this research has analyzed the components of understanding political issues and designed the framework of production problems in the National Iranian Oil Company. In the process of this research, the components counted in previous researches include 3243 concepts 264 sub components and 16 main components based on a survey of experts and managers of the oil industry and experts in the field of energy management and public policy in the form of managerial factors, factors implementation, peripheral factors, intrinsic factors and the achievements of understanding policy issues in production policy making in the National Iranian Oil Company were verified and prioritized. The results show that the highest agreement from the perspective of the participants in the research was on the recognition of the efficiency and effectiveness of policy issues in the National Iranian Oil Company, and the lowest agreement was reached on the thematic recognition of the issues. Framing the process of recognizing issues related to the subject of this research shows the role of institutional recognition and understanding the comprehensiveness of issues in the framework of management factors, the role of typology and thematic, content and formal recognition of issues in the framework of factors related to the nature of the issue, the role of recognizing and mapping stakeholders and Contextual and environmental factors related to issues in the framework of peripheral factors of the issue, recognition of technologies related to production and structure of the issue in the framework of executive factors and recognition of the approach, transparency, efficiency and effectiveness and legitimacy of issues as the achievements of the recognition process.

Social responsibility is one of the important concepts that includes economic, social, and environmental fields. The purpose of this research was to examine the components and indicators of the social responsibility model of the National Company of the Southern Oil-rich Regions. The first statistical population includes specialists and experts of oil-rich regions companies and academics in the field of social responsibility, 15 of whom were selected. The second statistical population includes the beneficiaries and users of the social responsibility field. The number of them was calculated as 394 individuals. The third community involves managers and trustees of social responsibility programs; 79 people were selected as a sample. The results of the analysis of the content of the resolutions of the major oil companies of the world, the dimensions of the desired model were examined. Finally, with the help of structural-interpretive modeling and Mic Mac software, the desired model was drawn, and the five levels of this model were introduced. After content analysis and two rounds of Delphi implementation, twelve components and 58 indicators were extracted. These can be considered components and indicators of the social responsibility model of the National Company of Southern Oil Regions for the ecosystem of each region. These dimensions and components were screened in the second round of Delphi. Finally, in prioritizing the components, the organizational social responsibility index, with a relative weight of 0.330, is the most important. Therefore, among the 12 indicators, it has the most impact.

Human resources are the most crucial asset of any organization, and by maintaining and strengthening them, organizational goals can be achieved. In the context of health systems, human resource resilience is primarily focused on the theoretical development of this concept and its various dimensions.

This study aimed to develop a model to enhance the resilience of human resources within the health system.

This study used a mixed-methods approach, conducted in two stages. In the first stage, a scoping review of relevant literature was carried out across multiple databases (Scopus, ScienceDirect, PubMed, and Google Scholar) to identify dimensions and preliminary indicators for the model. A total of 20 studies that met the inclusion criteria were analyzed. Studies were included if they met two criteria: (a) the term "resilience" was used in the title, abstract, or keywords, and (b) the main analytical focus was on health systems. In the second stage, the initial model was designed using the fuzzy Delphi technique. The degree of association of each component and factor in the final model was assessed using the fuzzy DEMATEL method for the primary components and the interpretive structural modeling (ISM) technique for secondary components. Finally, the relationships between the indicators were determined based on the effectiveness and influence of the components.

Three key dimensions were identified in this study: (1) behavioral dimension (work experience, creativity, work commitment, and job design), (2) motivational dimension (in-service training, lifestyle changes, self-esteem, empathy, interaction with the surrounding environment, and continuous performance evaluation), and (3) empowerment dimension (employee welfare, rewards, job promotion, damage compensation, timely handling of complaints, and job security).

To foster and sustain resilience in human resources, it is essential to address behavioral, empowerment, and motivational dimensions within the health sector. Managers should consider the dimensions and indicators proposed in this model to improve workforce resilience.

This research has been carried out with the aim of designing the developed model of social responsibility of the national company of the southern oil-rich regions, using the technique of content analysis. This research is qualitative research that by analyzing the content of the social responsibility policies of leading companies in the implementation of social responsibility in the world and Iran's oil industry, the dimensions and components of the model were identified and then confirmed by the Delphi method. The first statistical population includes specialists and experts of companies in oil-rich regions and academics in the field of social responsibility, the number of these people is 20 people. 15 people were selected by the judgment method and available. The second statistical population includes the beneficiaries and beneficiaries of the social responsibility field. The number of these people is unlimited. Based on Cochran's formula for unlimited communities, the number of these people was calculated as 394 people. The third community is the executors and trustees of social responsibility programs. The number of these custodians in the headquarters of the National Company of the Southern Oil Regions, which are he officials and those involved in the implementation of the social responsibility program, is 100 people, and 79 people were selected as a sample by a simple random method and using the Cochran formula. The results of the analysis of the content of the resolutions of major oil companies in the world showed that the dimensions and components of social economic responsibility, organizational social responsibility, social responsibility of stakeholders, governance social responsibility, customer-oriented social responsibility, development-oriented social responsibility, environmental social responsi-bility, Ethical social responsibility, civil social responsibility, social responsibility, accountability, individual social responsibility, and civil social responsibility are the dimensions of the desired model, and finally, with the help of structural-interpretive modeling and with the help of Mic Mac software, the desired model is drawn and five levels This model was introduced

This study aimed to investigate the role of managerial factors in neuroscience-based leadership in education in Lorestan province.

The research method is quantitative. The statistical population in the quantitative stage includes the General Directorate and Education Departments of Lorestan Province, totaling 1222 people. 292 people were selected using the Cochran formula and stratified random sampling method. In the quantitative section, 292 people were selected using the Cochran formula and stratified random sampling method. The data collection tool for the quantitative phase was a questionnaire obtained from experts in the fuzzy Delphi stages. Structural equations with a partial least squares approach were used to analyze the data in the quantitative phase.

First, written and electronic sources were meta-synthesized using Xiao and Watson's 8-step process, and the initial model was extracted, and the dimensions, components, and important indicators were verified and agreed upon by experts using the fuzzy Delphi technique. Finally, the reliability and validity of the proposed model were proven using confirmatory factor analysis, and a neuroscience-based leadership model in education-oriented organizations was verified and developed with 5 dimensions, 63 components, and 205 indicators.

The proposed neuroscience-based leadership model is a complete and comprehensive model, as it includes almost all the dimensions necessary for leadership and management in learning-based organizations, especially education.

This study aims to investigate the impact of the social responsibility of ports on the development of coastal cities. In terms of purpose, this study is applied research that has been conducted with a mixed (qualitative-quantitative) approach in terms of its nature and implementation. The statistical sample in the qualitative section includes 13 university experts and senior managers of the Ports and Maritime Organization, and the quantitative section includes 300 employees of the Ports and Maritime Organization. Semi-structured interviews and questionnaires were used to collect data in the qualitative and quantitative sections, respectively. The validity of the questionnaire was confirmed by face validity, content validity, and convergent validity, and its reliability was confirmed by calculating Cronbach's alpha coefficient and combined reliability. To analyze the data in the qualitative part, the content analysis method was used, and in the quantitative part, the partial least squares technique was applied. Based on the results obtained in this study, it was found that the social responsibility of ports from four perspectives—improving the livelihood of coastal residents, tourism development, empowerment of local communities, and providing a platform for sustainable development—affects the development of coastal cities. Validation of the model obtained in a survey study showed that the proposed model has good validity. At the end of this article, in addition to discussing the research findings, practical guidelines are provided.

The necessity of optimal policymaking in the petrochemical industry has consistently been highlighted as one of the strategic priorities in the country's overarching documents, such that the role of these policies in securing the national interests of current and future generations cannot be overlooked. For this reason, considering future-based scenarios regarding the petrochemical industry, especially the establishment of inland hubs within the developmental horizon of the country, is crucial and this is conducted with the aim of planning with a futurology approach for the development of inland petrochemical hubs. 

In this study, qualitative content analysis, scenario formulation, prioritization of propositions, robust planning under conditions of uncertainty, and strategic evaluation methods have been employed across three phases. In this context, interviews were conducted with 20 experts. 

Based on the research findings, optimistic scenarios are predicated on the reduction of sanctions, economic stability and exchange rate, foreign financing, participation of domestic investors, and access to technology, provided that the government is directly involved. Achieving these conditions requires a shift in foreign policy aimed at sanction relief, which, in turn, is expected to facilitate the realization of other conditions. In moderate scenarios, the importance of sanction reduction remains vital, and without it, the development of petrochemical hubs seems unattainable. 

Accordingly, the manner of government intervention in these projects and its collaboration with other institutions and various sectors will play a significant role in the status of these projects.

This research has provided a model for analyzing policies to deal with the water crisis in Iran with regard to climate and population changes in a twenty-year horizon with a system dynamics approach. model was designed according to the hydrological cycle of water and the effective representation of the security of water resources in the country with Vansim software. Surface water sources, underground water, dam water and population are considered as accumulation variables of model. The required statistics were extracted from the Iranian Statistics Center, the Ministry of Energy and the Ministry of Agricultural Jihad for 2017-2037. Based on the research model, the state of water resources in the country shows a downward trend during the mentioned time horizon. various policies regarding dealing with the water crisis and its impact on the security of country's water resources were examined using the designed model. dimensions of the model were changed under 5 scenarios and its effect on the security of water resources was investigated. The investigated scenarios are in the two sectors of supply and demand management of water resources. These scenarios include climate change and reduction of renewable water, low water productivity in different sectors, population increase and water return from different sectors. These scenarios change the security of water resources according to their nature. At the end, the conceptual model of analysis of policies to deal with the water crisis is presented and practical suggestions were adopted by integrating water supply and demand management to deal with this crisis.

The aim of the current research is to provide a model of human resources management based on high-performance work systems in Iran's state-owned companies (the case study of the National Company of Southern Oil-bearing Regions) and in the field of human resources management.

This research is descriptive-exploratory and mixed in terms of the method of data collection. The statistical population of the research in the qualitative part, 22 experts were selected by non-probability method of targeted judgment. In the quantitative part, the statistical population including 725 people and the statistical sample of 251 people were selected by simple random method.

using the fuzzy Delphi test of dimensions; The components and indicators of research variables were identified. The variable of human resources management was identified in 18 dimensions, 41 components and 103 indicators, and the variable of high performance work systems was also identified in 5 dimensions, 31 components and 54 indicators. In the following, stratification and identification of relationships between factors were done using the ISM method. In the quantitative section, the obtained data were analyzed using appropriate statistical techniques. The test of structural equations was done to explain and check the presented model.

The research results show that the final model has good validity. Therefore, the use of accurate and advanced systems for attracting, selecting and employing people and extensive training and strengthening team spirit and creating an open communication environment, service compensation system and fair reward payment based on performance and productivity and performance evaluation system based on It is suggested based on quantitative and objective indicators.

After breaking the glass ceiling and being placed in leadership positions, women face a phenomenon called the glass cliff, which is caused by the intersection of structural and psychological-social factors. This phenomenon causes a shaky and insecure management for them.  The aim of this research was to identify the factors, components and indicators of women's job tenure at managerial levels and accordingly to present a conceptual model.

The statistical population of the research included all those who were experts in the field of management and women, and using targeted and information-oriented sampling method, 12 people were selected as participants. In this research, in order to identify the factors of women's job tenure in managerial levels, in addition to document study and research background, fuzzy Delphi technique has been used to refine the factors and indicators. The survey was conducted in three stages and the results of each stage were refined using triangular fuzzy formulas.

The results showed that the most important factors of women's job tenure at managerial levels are: evaluating and monitoring the performance of managers regardless of gender, equality in the distribution of rewards and results, access to information resources of the organization, delegation of power to women, equal commitment of men and women. Relative to the family and the ability to respond to job demands. The career stability model of female managers was designed with 9 factors and 27 indicators in three structural-organizational, behavioral-psychological, and cultural-social dimensions, which is presented as a proposed model for women's career stability at managerial levels. In this way, while analyzing the current situation, organizations can present the necessary plans and measures for systematization and continuous movement within the framework of gender equality, organizational structure in order to improve organizational communication, the development of women's individual capabilities, and gender equality 

In general, the results of this research showed that the job tenure of female managers is made up of interwoven factors, which seems that reducing the focus on gender can be a compatible ideology in line with the job tenure of women in management levels.

The aim of the current research is to investigate the relationship between human resource management and high-performance work systems in Iran's state-owned companies to provide a suitable model (the case study of the National Iranian South Oil Company). This research is descriptive-exploratory and mixed in terms of its practical purpose, in terms of data collection. The statistical population of the research in the qualitative part is made up of the company's human resource management experts. The statistical population of the research in the qualitative part is made up of the company's human resource management experts. The number of experts was 22 who were selected by non-probability method of targeted judgment. In the quantitative section, the statistical population including 725 people was identified and a sample of 251 people was selected by simple random method. In the qualitative phase, based on interviews and text analysis using dimensional coding techniques; The components and indices of the research variables were identified and then using the fuzzy Delphi test, the identified factors were evaluated, and the dimensions of human resource management and high-performance work systems were determined. In the quantitative stage, the raw data obtained from the statistical sample was analyzed using appropriate statistical techniques and Smart PLS 3.2.9 and SPSS 22 software. Structural equation model test was done to explain and check the presented model. The results showed that human resource management has a positive and significant relationship with high-performance work systems and all aspects of human resource management and high-performance work systems have a significant relationship with their main variable and according to the confirmation of the fit indices The model, the final model of the research, has favorable validity.

various related scenarios. The study aims to identify and assess different financial and investment policies that could enhance investment attraction in Iran's oil industry.

The study employs system dynamics and content analysis to develop the model. The statistical population for the content analysis includes upstream oil industry documents and related articles on investment. In the quantitative section, employees, managers, and experts in the oil industry were selected as the sample population. Data analysis was conducted using Vensim software, and nine different scenarios were developed to evaluate financial and investment policies.

The results revealed that intermediary financing, with an increase of 128.854 units, was identified as the most attractive policy. Debt-based financing, with an increase of 108.333 units, and financing based on underground reserves, with an increase of 69.580 units, followed. These findings highlight the importance of diversifying financial resources and utilizing innovative financial structures in Iran's oil industry.

The study concludes that a combination of different financial resources and the application of diversified financial policies can significantly contribute to attracting more investments and reducing financial risks in Iran's oil industry. These findings align with previous studies on financial and investment policies and provide valuable insights for policymakers in Iran's oil sector.

In the past decades, due to the globalization of the economy, technological advances, the improvement of communication networks and the connection of financial markets, the transfer of financial resources is done more easily, which is the basis of the growth of organized economic crimes and transfer The transfer of illegitimate assets with the aim of changing their identity and purifying them has been raised as a national and international concern. This has drawn the attention of international financial organizations to supervisory and control measures in this field. In this regard, the aim of the present research; The qualitative study of the components of prevention of electronic money laundering and offering improvement solutions has been effective.

This research is applied in terms of purpose and mixed (qualitative-quantitative) in terms of method and with thematic analysis strategy. The research variables have been identified and explained in the qualitative part by reviewing the subject literature and analyzing the content of 37 articles, theses and related books, and in the quantitative part through a questionnaire among 150 banking experts.

71 basic themes, 21 organizing themes and 6 overarching themes were identified. The results of the research indicate that the variables of anti-money laundering solutions, structural dimensions and functional dimensions of anti-money laundering have a positive and significant effect on anti-money laundering, and the types of money laundering methods through the banking system, the consequences of money laundering and the challenges of anti-money laundering have a significant impact on anti-money laundering. Money laundering has had a significant and opposite effect.

For 30 years, global development has demanded a new approach for cooperation between government, people and businesses to achieve health goals. The aim of the current research is to Design a Pattern to reduce the government's tenure in the field of health by approaching the government as a responsible observer in line with the realization of the general policies of Article 44 of the Constitution. The research method is a combination of qualitative and quantitative. In the qualitative part, by using 200 articles related to structural reform medels in other countries, as well as internal laws and regulations and experts' opinions, tried to explain the dimensions, components and indicators of the research, including 5 key dimensions related to the field of governance, 11 components and 57 indicators, and 9 methods of reducing tenure and designing 2 questionnaires. Finally, to analyze the quantitative data of the research, the structural equation method was used using the combined ISM-DEMATEL method to explain the relationships between dimensions, components and indicators (the first questionnaire) and Shannon's entropy method to prioritize the methods of reducing tenure (the second questionnaire). The result of this research shows that this is a complex but inevitable policy that must be determined when it starts. It also recommends interventions in several fields, such as the need to formulate general goals and policies in the field of health with a comprehensive approach, the key players of which are the government, the private sector, civil society, and the health sector.

The necessity of moving from general theories and reaching structural theories has doubled the importance of comparative evaluation method. Policymakers are often faced with complex questions in the field of policy design and evaluation. They should be able to convince the stakeholders that the problem has been identified correctly and the result of the desired policy will meet their expectations. For this purpose, this research identified the problem-solving components in public policy-making with a systematic review of previous studies and researches in the form of 16 groups and based on the judgment of a 15-member panel of experts from the government sector of the Iranian oil industry, universities and the private sector of the oil industry and Gas has subjected the calculated components to a scientific and comprehensive understanding of issues related to production policy in the National Iranian Oil Company using the triangular fuzzy Delphi method, in order to finally provide a comprehensive framework for production issues in the said company. This research has identified 262 components of problem analysis in the form of 16 groups in three stages of the triangular fuzzy Delphi method, corresponding to the problem analysis in the production policy of the National Iranian Oil Company.

one of the strategic priorities in the above documents. Iran is one of the leading energy producers in the world due to its rich oil and gas reserves. Therefore, it is very necessary to consider the scenarios based on the future regarding the petrochemical industries, especially the creation of intraterritorial hubs. In the present research, among the methods of qualitative content analysis, scenario explanation, proposition prioritization, sustainable planning in the conditions of uncertainty, and strategy evaluation, it was done in three phases. Based on this, 20 experts have been interviewed. The results of the research showed that the optimistic scenarios are based on the reduction of sanctions, economic stability and exchange rate, foreign financing, participation of domestic investors, and access to technology, but provided that the government has direct participation. Establishing these conditions requires making changes in foreign policy with the aim of removing sanctions, after which it is expected that other conditions will also be established. In medium scenarios, the importance of reducing sanctions is still maintained, and without it, we cannot hope for the development of petrochemical hubs. Other conditions of optimistic scenarios with the help of the government in carrying out this project are established in these scenarios. Therefore, the way the government intervenes in carrying out these projects will be decisive.

Considering the development of a knowledge-based economy in the world and Iran, identifying the effective components in the development of knowledge-based companies in the medical field is essential in line with the policy and economic development of the country.

In this qualitative research, data was collected through in-depth and semi-structured interviews from faculty members, specialists and managers of organizations in charge of the country's knowledge-based ecosystem. The statistical population was selected by snowball sampling, and the scientific interviews continued until the theoretical saturation stage, and finally 19 interviews were conducted. All data were analyzed based on Brovan and Clark's six-step theme analysis method.

From data analysis, three main themes including the factors of " revision of the general policies of the country", "creating a suitable economic platform" and "revision of the performance of institutions in charge of knowledge-based economy" and 37 subthemes were extracted which were regarded as effective factors in the development of knowledge-based companies in the medical field.

It is necessary to review the general and executive policies of the country for the development of knowledge-based companies, and the government must provide the basis for the development of knowledge-based companies by creating a suitable economic context, fighting economic rents, creating economic stability and reforming the banking network. It is also necessary to review the processes in the Deputy of Science, Technology and Knowledge-Based Economy and the Ministry of Health, Treatment and Medical Education.