changiz mohammadizadeh

The current research was conducted with the aim of validating the structural model of open data governance in line with the health of the administrative system in e-government in government organizations.
This research, with a practical purpose, was based on a descriptive survey implementation method. The statistical population of the research included the managers of the country's tax affairs organization and several university professors, all of whom (18 person) were selected as a statistical sample. The data collection tool in this research was a researcher-made questionnaire, and confirmatory factor analysis, structural equation modeling, and Smart PLS software were used for data analysis.
The results of the research show that the structural model of open data governance in the direction of administrative health in e-government at governmental organizations includes six components: platforms (with the dimensions of intra-organizational platforms and external platforms), strategies (with the dimensions of common strategies—internal and external—, intra-organizational strategies, and extra-organizational strategies), intervening conditions (with common dimensions—internal and external), causal category (with dimensions of internal-external organizational factors, individual and social factors), central category, and consequences (with common dimensions—internal and external).
Intra-organizational and extra-organizational platforms have a positive and significant effect on common strategies. The strategies of this research have a positive and significant effect on the results. The impact of intervening conditions on the central category is positive and significant. The effect of the causal category of this research, including individual factors and social factors, on the central category, is negative and significant because the regression coefficient has become negative. The impact of the central category on strategies has become negative, but this impact is not significant.

The important role of the health system in improving and increasing an important factor called life expectancy is not hidden from anyone. However, there is a gap between the potential capabilities of this organization and what is happening, perhaps this deficiency is related to factors such as the organization's strategy, productivity, intellectual capital, etc., and these factors will be investigated in this research.

This research was carried out with the field review method. All studies and articles related to the improvement of the health system on the intellectual capital and organizational performance of the university in the databases "Scopus", "Science Direct", "Embase", "ProQuest", "SID" and databases and two search engines. Google" and "Google scholar" were searched with related keywords. Finally, 14 studies were selected. The study was conducted during three stages of screening. In this stage, the theoretical foundations and studies and background related to the subject were examined, analyzed and compiled with a systematic approach.

Based on the findings of the research, in order to adopt a suitable strategy with the health system productivity approach, things such as: productivity of human resources, use of the scientific capacity of graduates from various fields under the health system in a position appropriate to the field of study should be considered. It should be considered to promote the technical and specialized knowledge of managers of different levels, replace the elite forces on the verge of retirement, create motivation for all employees to use the maximum scientific ability and especially creative actions.Therefore, improving the health system by using effective management strategies on the intellectual capital and organizational performance of the university is an essential need of organizational management.

The aim of the current research is to provide an evaluation model of financial technology policies in the National Bank of Iran. According to its purpose, the research method is applied-developmental, mixed (qualitative-quantitative) in terms of implementation, and survey-cross-sectional in terms of nature and method. The statistical population of the research in the qualitative part includes 17 managers with the experience of National Bank of Iran and using the purposeful sampling method, and in the quantitative part it includes the managers and experts of the National Bank of Iran, with the sample size of 156 people using Cohen's power analysis and using the simple random sampling method. were chosen. Data collection was done in the qualitative part of semi-structured interviews and in the quantitative part of the questionnaire. The underlying categories of the research were identified by the grounded theory method and the final model was validated by the partial least squares method. Qualitative data analysis was done with MAXQDA20 software and the quantitative part was done with Smart PLS. The research findings showed that based on the research paradigm model, external evaluation, internal evaluation, and evaluation of bank stakeholders have an effect on fintech executive policies. On the other hand, the bank's marketing performance provides background conditions and technology-based risk is also an intervening factor. Finally, the development of fintech and digital banking can be achieved with technological and financial strategies. Also, the GOF index was found to be 0.659, which indicates the good fit of the model.

A forward-looking health system in universities of medical sciences, based on rapid developments in the fields of science and technology, needs to identify and define new dimensions that can cover future health challenges and needs. Universities of medical sciences should increasingly focus on the development of interdisciplinary knowledge so that students and researchers can address issues with multifaceted approaches. Due to the increasing complexity of health issues and the emergence of new diseases, it is necessary to prioritize the training of specialists who can collaborate with specialists in various fields such as medical engineering, biotechnology, and even social sciences. This allows the health system to deal with complex and multidimensional health challenges with a comprehensive approach. Therefore, the present study aimed to identify the dimensions of the future-oriented health system in the macro medical sciences universities of Region 1.

The current research was a mixed method (qualitative and quantitative). The statistical population of the qualitative part included the professors of universities of medical sciences in the first region, who are experts in the field of the research subject, 20 of them were identified, and the quantitative part was identified. It included 1851 academic staff members of universities of medical sciences in Region One. In the qualitative part, 10 people were selected using the purposeful sampling method and considering the saturation law, and in the quantitative part, 320 people were selected as a statistical sample based on the stratified random sampling method based on the Cochran formula. To collect data in the qualitative part, semi-structured interviews were used, and in the quantitative part, the prospective health system questionnaire was used from the qualitative part interview with 56 questions in the form of 10 dimensions. To analyze the qualitative data of the research, two stages of open coding and axial coding were used. Therefore, in the first stage, the main dimensions and components were presented based on the process of open and central coding of the data obtained from semi-structured interviews using the Delphi method and the refinement process, conceptual codes were presented and the priority of each factor was based on frequency. The concepts mentioned in the interviews were clarified. In the quantitative part, exploratory factor analysis, confirmatory factor analysis, and structural equation tests were used for data analysis. Data analysis was done using SPSS21 and LISREL software.

The results of the confirmatory factor analysis listed in Table 1 show that: at the 99% confidence level, the t-values ​​for the dimensions of the prospective health system questionnaire are outside the range (2.58, -2.58). Also, the R2 values ​​for all dimensions except the technology and information dimension are strong, so there is a positive and significant relationship between the future-oriented health system variable and all its dimensions. The highest standard coefficient (0.842) is related to the economic and development dimension and the lowest value is related to the technology and information dimension (0.628). The standard coefficient of 0.842 and R2 value equal to 0.709 show that the economic and development dimension has the most impact and predictive power in the model. These results show that attention to economic issues and development in the prospective health system can have a very positive effect on the improvement of the prospective health system. This analysis shows that the economic and development dimension has the greatest impact and predictive power in the model for the future health system, while the technology and information dimension also plays an important role despite having a lesser impact. Paying special attention to the improvement of these dimensions can lead to the overall improvement of the health system and the improvement of the quality of education in universities of medical sciences in the first region.

The conclusion from the identification of various dimensions of the future-oriented health system in medical sciences universities shows that to face complex challenges and rapid changes in the health field, these universities must pay attention to a comprehensive and multidimensional model of development and education in the field of health and treatment. A forward-looking health system in universities of medical sciences needs to identify and expand several dimensions that can respond to the health challenges in today's and future world. Each of these dimensions plays a vital role in creating a new platform for education and healthcare services. The technology and information aspect, as the foundation of the transformation of the health system, focuses on the use of artificial intelligence, big data, complex analysis, and digital health systems. These technologies provide powerful tools for advances in diagnosis, treatment, and data management that increase accuracy and speed in health services. Also, the dimension of prediction and prevention by focusing on the evaluation and prediction of health problems prevents the occurrence and severity of diseases and plays a vital role in the prevention of chronic and emerging diseases. The dimension of health communication and telemedicine enables communication between the patient and the specialist through digital platforms and remote treatment services, which is especially effective in deprived areas and critical situations such as pandemics. Also, the dimension of professional interaction refers to the cooperation between different disciplines and specialties such as medicine, engineering, social sciences, and psychology, and it causes students and medical staff to acquire the ability to comprehensively deal with complex health issues. The financial and economic dimension is another important pillar that covers the provision of resources, budgeting, treatment costs, and justice in access to health services. On the other hand, the social and sociological dimension addresses the effects of social issues and culture in the field of health and emphasizes the development of public health methods and social interactions. The legal and disciplinary dimension deals with the creation and adherence to laws, regulations, and professional standards related to health and ensures that health services are provided within legal frameworks and respecting the rights of individuals. In addition, the ethical and human dimension emphasizes paying attention to moral principles and respecting human and moral values ​​in providing medical services and education.

The present study was conducted with the aim of designing and explaining the evaluation model of fintech executive policy in National Bank. This research is based on the purpose of a developmental-applied study and based on the method of data collection, it is a non-experimental (descriptive) study of cross-sectional survey type. Also, in this study, a mixed research method (qualitative-quantitative) was used. The tool for collecting data in the qualitative part is a semi-structured interview and in the quantitative part is a Likert scale questionnaire. The Holstein coefficient was used to validate the qualitative part, and the quantitative part was validated using convergent validity, composite reliability and Cronbach's alpha. The statistical population in the qualitative section includes university professors and managers of National Bank who were selected by purposeful sampling method and theoretical saturation was achieved with 17 interviews. The statistical population of the quantitative part includes the managers and experts of National Bank branches in Tehran. The sample size was determined by Cochran's formula of 293 people and sampling was done by cluster-random method. To analyze the data in the qualitative part, the method of qualitative analysis of the theme and MaxQDA software was used. In the quantitative part, partial least squares method and Smart PLS software were used to validate the model. The research findings showed that the evaluation of the external, internal environment and banking stakeholders affects the technology strategy and financial strategy. Financial and technological strategies also shape the fintech executive policy in the banking system and affect marketing, financial and social performance. Finally, the marketing, financial and social performance leads to the development of fintech in National Bank.

The policy making of medical science education is one of the management functions in the health system, and according to the main goal of the health system, which is to promote health, under the foresight of the educational policy, the approaches of the health system are moving towards progress.
Therefore, the present study was conducted with the aim of analyzing the educational policy in the forward-looking health system. The present study is a simple descriptive review study that was conducted by searching databases: Uptodate, ISI, Pubmed, Google Scholar with the keywords: policy making, health system, foresight, educational policy making, and forward-looking health system during the years 2016-2023. In the initial search, 242 articles were found. Farsi and English and by applying the inclusion criteria, 32 articles were finally extracted.
The findings from the analysis of related studies showed that the use of health system policy with an educational perspective in the future leads to proper university management in the field of education and research, implementation of goals and strategies, development of the spirit of organizational activities, promotion of social responsibility, individual and collective ability in creating educational behavior and ... turns; Therefore, applying the educational policy approach with a realistic and ideal perspective will lead to the achievement of the short-term, medium-term and long-term goals of the health system.

The current research aims to suggest an open data governance model to improve the administrative health with the establishment of E-government in the tax affairs organization. The objectives are practical using grounded theory for the qualitative analysis. The data were collected through the semi-structured interview. The population of the research was all the high level managers of the tax affairs organization, CEOs and their deputies, tax advisors, professors of economics department, experts and researchers of the information technology, elites in the field of governance and administrative health, and other managers of supervision centers. The sampling was done to reach thick-data for the qualitative analysis, resulting in 12 participants. The data analysis was coded through open, thematic, and selective coding systems. The findings indicated six elements from the grounded theory: 1. Main elements such as shared data-base, responding system, organizational clarity, and technical infrastructures, 2. Interventional condition such as shared elements (domestic and foreign), domestic elements, and foreign elements, 3. Causative elements such as shared elements (indo- and exo-organizational), individual elements, and social elements, 4. Contexts such as indo- and exo-organizational contexts, 5. Strategies such as shared strategies (indo- and exo-organizational), indo-organization elements, and exo-organizational elements, 6. Shared consequences such as shared consequences (indo- and exo-organizational), indo-organizational consequences, and exo-organizational consequences.

The purpose of this study is to design a hybrid model of employee compensation in public sectors. The approach of the current research is qualitative, and the seven-step hybrid method of Sandelowski and Barroso was used. Current research by referring to all sources related to employee compensation and necessary factors related to it, including 870 articles, books and theses from reliable domestic and foreign sources published from the scientific database in the period of 1390-1401 solar and 2010 It has been done until 2022. Then, taking into account the degree of connection with the research subject, the primary sources of screening and the number of 35 sources were selected and coding was done on the concepts extracted from them. In total, based on the results of a systematic review with a meta-combination approach, two optional codes (internal and external organizational factors) and 8 central codes (salaries, performance and recognition, career path opportunities and advancement, work-life balance, benefits, factors social, psychological factors, managerial dimension) have been extracted. The largest number of studies are related to rewards, motivation, salaries and wages in employee compensation. In order to measure the reliability and quality control, the Kappa method has been used, and the value of the Kappa index was calculated for the employee compensation factors, which is at the level of excellent agreement.

This study aims to provide a model for the employee adjustment of the faculty members and staffs in the Islamic Azad University of Iran (a case study in Mazandaran province) and to examine the dimensions of the effectiveness indicators and procedures applicable to human resource adjustment. This study is purposefully a descriptive study and methodologically a survey research. In this research, data were collected from the interview with the university experts and the questionnaire. Five factors of effectiveness and related factors including organizational agility (4 components), human resource empowerment (16 components), adjustment effects (5 components), the ability to implement of the method (4 components) and legal contexts (3 components) and 11 methods were used in the first stage of the research. The adjustment of power was based on the initial selection model and the questionnaires were designed. In the next stage, the sample consisted of 35 faculty members and staffs from different branches of Azad University of Mazandaran province. All questionnaires of this research were designed using valid scientific questionnaires to determine the significant levels by PLS-SEM software. The statistical population in the final stage of the study included employees and faculty members of all Azad University of Mazandaran Branch in 2018. The final model of the research consists of 5 indicators, 13 components and 3 methods of human resource adjustment in each case.