مرتضی موسی خانی

The aim of this research is to identify the factors influencing the Smart Spatial Planning Evaluation Model in the textile industry. This is intended to contribute to sustainable development by addressing climatic, social, and economic needs, with an emphasis on appropriate investment and technology.

This study follows a quantitative approach and employs the Delphi method. Data were collected through a structured questionnaire in two phases, including surveys of experts in the textile industry, senior managers, and specialists in this field. Data analysis was performed using Smart PLS and SPSS software, with a sample size of 384 managers and experts from the textile industry.

The results of the research show that spatial planning evaluation in Iran’s textile industry is divided into seven main dimensions: climatic conditions, community needs and consumption trends, investment and marketing, technical knowledge and technology, operational factors, managerial and legal factors, and socio-economic factors. Specifically, components such as climate localization, community lifestyle, competitive marketing, production automation, appropriate executive structures, alignment of national laws with local conditions, and job creation for local communities were identified as key factors.

This research follows a quantitative approach and uses the Delphi method. Data were collected through a structured questionnaire in two stages, involving surveys of experts in the textile industry and senior managers and specialists in this sector. Data analysis was carried out using Smart PLS and SPSS software, with a sample size of 384 managers and experts from the textile industry.

The results of this study suggest that spatial planning evaluation in the textile industry can lead to regional balance, sustainable development, environmental protection, and increased productivity. This model also contributes to reducing inequalities and improving social welfare by strengthening economic and social conditions. This research proposes a comprehensive model for spatial planning in this industry, which could assist in enhancing development policies and equitable regional sustainability.

In Iran and other countries that use bureaucratic systems with all their differences, administrative bureaucracy plays an important role in providing public services, and while its hierarchical structure and division of labor can improve efficiency and accountability, there may be obstacles to access and Receiving these services is also a double-edged sword. On the other hand, the realization of the Iranian-Islamic model of progress based on the reflection of the ideals and goals of the system, relying on legal and Shariah foundations, explaining a systemic view that includes determining the related components and drawing how they are related, having the ability to adapt and access and benefit Mandi is one of the ability of stability and survival of Islamic civilization. Therefore, the current research has investigated the efficient bureaucracy with an Iranian-Islamic approach to progress.

This research is of a qualitative, developmental, interpretive and inductive type, which was implemented with a meta-composite approach and qualitative content analysis method. The sources of information used in the research are articles published in academic Jihad databases and related documents. After collecting the published articles from the database based on the index considered by the researchers, the selected articles were selected for review.

After reviewing and combining the results of selected studies and three stages of coding, the dimensions of effective bureaucracy are; Role-players, drivers and administrative duties were identified. In the Iranian-Islamic model of progress; Drivers, enablers, capabilities, tools, and progress requirements were identified and categorized along with the value orientation dimension. In total, by combining the dimensions of efficient bureaucracy and the Iranian-Islamic model of progress, Chargob of efficient bureaucracy with the Iranian-Islamic approach of progress was formed.

By continuing, developing and spreading this effective approach and model in the domestic and international environment with a balanced and compatible combination with the title of Iranian-Islamic development, it has the ability to create an efficient model of bureaucracy for all Islamic countries as a logic, strategy and The innovation of the Islamic Republic system against the unfair economic policies of the world based on Islamic development in line with the patterning of the theory of Islamic bureaucracy in the world provides an introduction to the spread of Islam in the world.

This research examines the role of organizational capabilities, quality of online customer service and environmental factors on market share with the mediating role of facilitating strategies in Bahman Automotive Group's off-road products. In addition, the relationship between the factors affecting market share and the consequences and improvement of organizational performance, with the mediating role of facilitating strategies, has been measured. The upcoming applied research is based on descriptive-correlation methods and its statistical population is the senior marketing managers of the country's automotive industry. The research model was measured with a statistical population of 384 people and by random and probabilistic sampling. The questionnaire designed by the authors was used as a data collection tool, and data analysis, in addition to descriptive methods, was done through structural equation modeling using SPSS and Smart-PLS software. Research variables included facilitating strategies, environmental factors, organizational capabilities, market share, existing obstacles for the automobile company and the consequences and improvement of organizational performance and the quality of online customer service. The results showed that the mentioned variables have positive effects on the market share. In addition, it was found that facilitating strategies mediate the relationship between factors affecting market share and the consequences and improvement of organizational performance.

In the dynamic and competitive automotive industry, the development of employee skills to enhance organizational innovation has become a top priority. This article aims to explore the antecedents, drivers, barriers, strategies, and outcomes related to skill development in the automotive industry, particularly at Saipa Company. The study is qualitative and exploratory, using semi-structured interviews for data collection. To ensure the validity of the research, the researcher employed member checks, triangulation of data sources, and peer review. Additionally, reliability of the interviews was measured using test-retest and inter-rater agreement methods. Participants in this study were experts in the fields of skill development and automotive industry, and the number of participants was determined based on theoretical saturation, achieved after the fourteenth interview. Qualitative data were analyzed using content analysis in three coding stages. The findings reveal the importance of organizational culture, effective leadership, and investment in resources and infrastructure as key antecedents for innovation development. Main drivers include technological advancements, global competitive pressure, and the need for cost reduction. Notable barriers identified include financial constraints and resistance to change. Proposed strategies include the formulation of supportive policies by the government, development of internal training programs by Saipa, and design of specialized courses by vocational organizations. The anticipated outcomes of implementing these strategies include enhanced employee capabilities, development of innovation and technology, and strengthened industry competitiveness. This research provides a deep and structured analysis to identify and recommend practical solutions for improving skill development and innovation in the automotive industry.

Nowadays, to attract more tourists the host communities, should be able to employ all their tangible and intangible capacities in a creative way. In creative tourism, visitors, service providers and the local community exchange ideas and skills and are influenced by each other. On the other hand, the destinations have recognized to develop in the changing world, they must pay special attention to creation and promotion of their brand. The main purpose of this research is to present a model of creative tourism with the aim of branding tourism destinations. The study is qualitative type and using the approach based on the foundational data theory. The target population includes managers and recreation centers and experts in creative tourism issues selected with a targeted approach and using the snowball sampling. The data collection tool is semi-structured interviews and the data analysis is done in three stages of open, central and selective coding and finally the qualitative model of the research is presented. The findings demonstrate that the causal conditions(preserving the authenticity of the destination, desire for more interaction, competitiveness, creating a favorable image)affect the central phenomeno(creative tourism with the aim of branding tourism destinations)and intervening factors(media and social networks,tourism organizations, government)and background factors(existing tourism attractions, social and cultural conditions,and infrastructure conditions)on the presented strategies(commercial and promotion activities , creating appropriate infrastructures, focusing on differentiating aspects of the destination, identifying creative potentials)that will lead to positive(economic,social and cultural)consequences. Creative tourism can help branding destinations and lead to the development of tourist destinations.

The purpose of the current research is to design a model of effective marketing capabilities based on communication (case study: National Drilling Company). According to its purpose, the research method is applied, and in terms of execution method, it is mixed (qualitative-quantitative) and in terms of nature and method, it is descriptive-survey, and it is an exploratory research type of research. The statistical population of the research includes 10 experts, professors and strategic managers of National Iranian Drilling Company. Data collection was done in the qualitative part of semi-structured interviews and in the quantitative part of the questionnaire. Coding was used in the data analysis of the qualitative part and SPSS and Lisrel software were used in the quantitative part. The results of the research showed that after core and optional coding and creation of main and sub-categories of six dimensions of effective marketing capabilities based on communication, i.e. strategic capabilities, operational capabilities, functional capabilities, internal capabilities of the company and external capabilities and communication as dimensions of capability. Effective marketing methods based on communication were identified.

Continuous monitoring keeps track of all financial events in order to display all financial information at any time. This increases the speed of response. The timeliness of information is very important, so that some events can only be done with timely identification. This will lead to the improvement of policies. The purpose of this research is to identify the problems of continuous financial monitoring in the public sector policies, so that finally the model of integrated monitoring can be introduced as a solution to the problems. This research is applied and of a descriptive-developmental (exploratory) type, as well as a case that was conducted in 1402 in the public sector. To conduct the research, a combination of studying specialized texts along with interviews and brainstorming (Delphi and Delphi-Fuzzy methods) and content analysis was used. In this research, two main questions were set. After answering the first question of the research in relation to the problems of continuous monitoring, the problems were identified with fuzzy Delphi mathematical calculations in Excel software. The results showed that there are 24 problems in continuous monitoring. After this stage, by studying specialized texts, an integrated monitoring model was presented to solve the problems of continuous financial monitoring in the public sector. A model that is based on the six components of accountability, transparency, justice, compliance with the rights of stakeholders, integrity and supervision. This model, taking into account the desirable governance components of the development of the previous models of continuous monitoring, is a path-breaker in solving problems. The expansion of integrated continuous monitoring improves the accountability of the public sector, and executive and supervisory government agencies should take steps to solve the problems raised by considering the components of integration. Due to the emphasis of annual budget laws on integrated financial management, continuous integrated financial monitoring will also be effective in increasing transparency and financial discipline of Public Sector Policies as a supplement to improve the government's financial management.

 Selection and evaluation of people and managers has always been one of the concerns of organizations. In recent years, the employment administrative organization of the country formulated a model to evaluate professional managers, but this model was encountered with weaknesses. Accordingly, the general goal of this research is to design a performance evaluation tool in evaluation centers using cognitive tools.

This research is applied in terms of purpose and mixed in terms of approach. In this research, the meta-synthesis method was used. Therefore, the period from 2015 to 2023 was determined for the review of researches. The articles in this period were screened and confirmed using experts’ opinions and Glynn's evaluation tool. Among the 608 articles found, 50 articles were selected from scientific references such as Elsevier, Emerald, Springer, etc. The collected studies were analyzed using content analysis based on the seven-step method of Sandelowski and Russo (2007). The results of meta-synthesis method were evaluated and screened by experts using fuzzy Delphi technique. In this technique, the fuzzy triangle method was used to evaluate and analyze the experts’ opinions. Finally, using the results, the native model was prepared and developed.

The results of this research included six dimensions, 20 components, and 115 indicators. According to the findings, the identified dimensions included decision-making, cognitive abilities, cognitive processes, problem solving, and interactive and behavioral cognition.

The use of cognitive factors in evaluation centers can evaluate managers more accurately and provide a better understanding of their performance.

The purpose of the current research is "presenting and compiling the management model of employee identification in Iranian banks". In this regard, while reviewing concepts such as employee identification management, using the mixed method (qualitative-quantitative) and structural equation modeling, the components and indicators of the model were identified and the model was validated. The studied population in the qualitative part includes experts and professors in the field of human resources and banking industry, and in the quantitative part it includes the employees of Sepeh Bank branches. The sample size in the qualitative section was 10 experts in this field and in the quantitative section, 381 people were determined based on the statistical population. In order to collect data, a semi-structured interview was used in the qualitative part and a questionnaire was used in the quantitative part, the validity of which was content validity by experts with the help of Delphi technique, and the construct and structure validity by confirmatory factor analysis in smart pls software and its reliability with The use of Cronbach's alpha coefficient has been confirmed in spss software. In order to analyze the data, in the qualitative part of the coding and in the quantitative part, the Kolmogrof-Smirnov tests were used for the normality test, and the confirmatory factor analysis and structural equation modeling tests were used to confirm the components and validate the model. The results showed that the model includes 8 dimensions, 13 components and 78 indicators.

This research has been done with the aim of providing a model for monitoring public policies with an emphasis on the digital age in the banking system. The type of research is applied and developmental in terms of purpose and mixed in terms of the type of data. The research participants in the qualitative part included scientific and executive experts working in the banking system, who were selected using a judgmental and purposeful sampling method, and in the quantitative part, they included experts working in the headquarters of the Entrepreneur Bank, who used the Cochran formula to determine the sample size. It was determined that they were selected using a simple random sampling method. The data collection tool in the qualitative part included a semi-structured interview and in the quantitative part, a researcher-made questionnaire. The validity of the interviews was confirmed through retesting, and the content validity of the quantitative part of the questionnaire was also confirmed by experts. In order to analyze the data of the qualitative part, the method of theme analysis was used, and structural equation modeling was used for the quantitative part. The analysis of the findings showed that the pattern of monitoring public policies with emphasis on the digital age includes internal antecedents, external antecedents, monitoring public policies and consequences. The results of quantitative analysis also confirm the significant relationship between the indicators and components of the research model at the alpha level of 0.05.

Biotechnology is one of the leading and growing industries in the world, contributing significantly to the economic growth of many countries. Bio-entrepreneurs always face many challenges in commercializing and developing their new products; so much so that the startup stage of biotechnology companies is basically called the "valley of death for companies". To support risky technological startups, Lean Startup offers a set of methods for testing and validating ideas and products, which help them respond more quickly to market changes. The Lean Startup method is a popular framework for creating innovative and pioneering companies and is increasingly attracting the attention of entrepreneurs and large organizations around the world. Since understanding the relationship between lean startups and biotechnology is also important, this study systematically and purposefully examines the relationship between lean startup trends and new product development project performance in biotechnology for the first time in Iran.

This is a qualitative-research with a case study strategy with Observation, semi-structured in-depth interview and audio material tools. The statistical population of the interview consists of 18 experts and specialists and professors in the field of biotechnology in various trends and managers of biotechnology start-ups as well as managers of biological science accelerators who had expertise and experience in related fields. To standardize the measurement tool, the validity of the combination of six strategies and the reliability of the test and the reliability between two coders have been used. Thematic analysis method was used to analyze the findings and the findings were coded into three main themes and nine sub-themes. Finally, five theorems were obtained from the intersection of the observed pattern, which is the result of the practical field of research, and the research theoretical pattern, which is the result of the theoretical literature of research.

After the coding process, a total of 46 primary codes, 9 sub-themes and 3 themes have been obtained. The themes and sub-themes in this research, which are related to the entrepreneurial process, are: the theme of the lean start-up cycle including the sub-themes of hypothesizing and customer orientation, construction, measurement and learning; The theme of the moderators of the lean startup cycle includes the sub-themes of uncertainty, degree of innovation and marketing approach and the theme of product development project performance including the sub-themes of success of the product development project and a good position in the market.

The discussion about the findings led to the formation of 5 propositions and suggested that the Orientation of businesses, especially start-ups and new technology companies in the field of biotechnology, to lean startup method can be influential. on the performance of their new product development projects. This influence comes from the lean startup components that include thinking, building, measuring and learning. Also, the type of innovation (fundamental or incremental), the level of market uncertainty, the level of technological uncertainty and finally the type of marketing approach (B2B or B2C) can also play an effective role on this relationship and increase or decrease it in a positive direction. An important conclusion is that, given the limitations of using the lean startup method in places where mistakes may have a negative impact on the vital activities of customers, such as in the field of health and organisms, the results of this research showed that the elements of the lean startup cycle in biotechnology, as in other fields, are effective in the successful performance of the new product development process and can be used in this field as well, with some considerations.

Based on macroeconomic indicators, a significant portion of the world's gross domestic product comes from the services sector. The $2.7 trillion share of services in large economies and its increasing growth since 2011, according to UN accounts, highlight the undeniable importance of the services sector. In line with this perspective, previous researchers have shown that lean-based approaches can facilitate the efficient and development-oriented growth of the services sector. Producers' move towards lean-based strategies in services has been reported to exceed 30%, a significant factor in maintaining competitiveness and gaining a competitive advantage in the service industry. The concept of lean first emerged in the industry with a focus on eliminating waste from production and refining it. However, this concept has entered the theoretical literature of organizations on the one hand, and on the other hand, it has appeared in the public domain, such as public administration and governance. Therefore, concepts such as lean government and lean services are outcomes of this concept. The present study aims to identify and validate a predictive model of lean services in the context of lean government in the banking industry.

In terms of paradigm, this research is interpretive during the model discovery phase and confirmatory during the model testing phase, and it is generally pragmatic. The research sample for the qualitative phase consists of experts in the academic field, including university professors, faculty members, and banking industry managers. A total of 15 experts were interviewed to collect qualitative data. The research questionnaire was developed based on exploratory factor analysis to collect quantitative data. In the quantitative section, using G*Power sample size determination software with an alpha level of 0.01 and a power test of 85%, 190 individuals were selected as the final sample for the research. The research approach is mixed, and the strategy employed is thematic analysis. Clark's method (2006) was used to analyze the data with MAXQDA software. The path analysis of the discovered model was also examined using variance-based structural equation modeling algorithms with SPSS version 24 and SmartPLS version 3. 

The results of the data analysis show that 32 indicators and 7 variables in the context of 6 theories were identified and validated as predictors of lean services for the realization of lean government in the Iranian banking industry. Therefore, factors such as lean improvement strategy, lean cultural transformation, development of lean capabilities, lean management methods, lean work methods, and lean contextual factors can facilitate the realization of lean services.

The banking industry is one of the driving forces of the economy and the engine of every society. Therefore, paying attention to the banking sector and its growth and development is an inevitable necessity. In particular, in the field of banking services, this is important due to the nature of financial and monetary services. Economic liberalization, globalization, and increasing competitiveness in financial services have forced banks to enhance and expand their services to maintain a competitive position. In the present study, the predictive theories of lean services with a lean government approach in the Iranian banking industry were identified through exploratory research, based on the natural conditions of Iranian society. Also, a conceptual model of predictors and a model for the application of lean services to the Iranian banking industry were introduced.

The current research has sought to design a model for eliminating the digital divide in education with an emphasis on the crisis of the Covid-19 pandemic. In this regard, the purpose of this research was to identify the variables of the model and also determine the causal relationships between the variables of the model.

This research was applied-developmental in terms of purpose and mixed (qualitative and quantitative) in terms of implementation method. In the qualitative part, the variables, components, and indicators of the research were extracted using the foundation data method with the coding technique through interviews with experts, and in the quantitative part, an exploratory descriptive method was used. The statistical population of the research included 20 education experts who were selected by non-probability purposeful sampling and theoretical and snowball methods. The criterion of sample size in the qualitative part was theoretical saturation.

The results of the qualitative part showed that the model of eliminating the digital divide has the variables "obstacles to the inclusion of e-government" (intervening factors), "digital development platform" (contextual factors), "digital capacities" (causal factors), "digital content" (focal category), "eliminating the digital divide" (strategies) and "consequences". Based on the results of the quantitative part, the two variables "digital development platforms" and "obstacles to the inclusion of e-government" had the greatest impact and importance in the model and are among the independent variables and strong drivers that the managers' attention and effective monitoring of these drivers can Achieving the goals of the aid organization has been used in a small part of the comprehensive structural-interpretive modeling method to create a model and determine the causal relationships between the research variables.

It is expected that the model of removing the digital divide in education will lead to the consequences of reducing digital inequalities, reducing social inequalities, developing information and communication technology, and increasing the participation of families in the education process.

the present study aims to design an optimal model for organizational entrepreneurship based on corporate governance. This research employs a mixed-method and multi-method approach (qualitative-quantitative-quantitative). In the qualitative section, content analysis is used as the research method. The statistical population in the qualitative part consists of experts and managers of the Industry and Mine Bank, selected through purposive and snowball sampling methods. Data collection tools involve semi-structured interviews, which continued until theoretical saturation was achieved, with the twelfth interview confirming this. Data analysis was performed using MAXQDA 2020 software through three stages of coding. In the second part and the quantitative section of the research, the structural equation modeling method is employed with the SPSS and SMART PLS software. The statistical population in the quantitative section includes employees, deputies, and managers of the Industry and Mine Bank, with a sample size of 226 individuals determined using Cochran's formula. In the quantitative part, the statistical analysis of data was conducted using fuzzy control in MATLAB software, resulting in the optimal model. The research findings indicate that achieving a desirable state for having an organization that is entrepreneurial based on corporate governance in Iranian government organizations is the result of a combination of performance, responsiveness, transparency, board structure, stakeholder rights, and professional ethics dimensions. In this process, the role of skill development and organizational learning is crucial.

Summary:Considering that one of the ecosystems that are being formed in Iran is the ecosystem of electronic businesses in the field of education, the analysis of this ecosystem and the identification of its main players and the role of each of them can be used to guide this ecosystem in order to create significant value for each. To be effective and useful from its actors. Therefore, the purpose of this research is to identify the dimensions and factors of the educational e-business ecosystem in Iran, which tries to answer the question, "What are the main dimensions and elements in the educational e-business ecosystem in Iran?"This research is practical in terms of purpose and qualitative content analysis method (theme analysis) was used to identify the dimensions of the educational e-business ecosystem. The statistical population included entrepreneurs and active experts in the field of electronic businesses and owners and managers of internet businesses, as well as academic experts. Among them, 12 people were selected using the snowball sampling strategy in a purposeful and non-random way until the theoretical saturation stage. Qualitative data analysis was done using Max Kyuda version 11 software. The results of this research were 527 open codes in the form of 130 core categories and 15 themes, and based on these 15 themes, the dimensions of the educational electronic business ecosystem were determined. At the end, practical suggestions are provided according to the research results.

Innovative human resources are the driving engine behind dynamic thinking, critical approaches, and are essential catalysts for transformation and innovation within any organization. They embody the questioning spirit and proactive nature of a vibrant workforce, which is critical to the organization's continual evolution. Effective initiation, sustained development, and strengthening of such innovative practices are not feasible without the solid foundation of both material and spiritual support as perceived by the employees. Consequently, the central aim of this research is to meticulously design and present an innovative human resources model based significantly on perceived organizational support, meticulously studied within the government organizations of Qazvin.

This research employs a comprehensive mixed exploratory approach, amalgamating qualitative and quantitative methodologies, which is applied in intent and descriptive-survey in its implementation method. The qualitative component of this study utilized the acclaimed Clark and Brown thematic analysis method with a comparative approach. In this phase, the statistical sample, carefully chosen using a non-probability targeted method, included a select group of 11 academic and organizational experts. The quantitative segment focused on a diverse group of managers, deputies, and specialists from various government organizations across Qazvin, encompassing sectors such as governance, infrastructure, economic, social, cultural, and service affairs. The robust sample size, meticulously calculated using Cochran’s formula, was set at 220 individuals. The sampling strategy in the quantitative phase began with targeted selection, followed by a strategic combination of cluster, stratified, and simple random sampling methods. Data collection was comprehensively conducted using semi-structured interviews and a meticulously developed questionnaire. For data analysis, the qualitative section leveraged MaxQDA software for detailed triple coding—axial, selective, and open coding. Simultaneously, the quantitative section employed SPSS for rigorous data analysis and MATLAB software for the sophisticated implementation of confirmatory factor analysis to validate the model and determine the optimal combination of perceived organizational support and innovative human resources.

The research findings robustly highlight the initial identification of themes at comprehensive, organizing, and basic levels. This thorough investigation led to the emergence of innovative themes that were distinctly extracted from the disparities between the theoretical literature, past research background, and enriched insights obtained from expert interviews. The elaborately finalized model successfully integrates essential local government indicators along with moral and human values, thoughtfully adapted to the unique cultural context governing the administrative operations in Qazvin. This adaptation drew extensively from an in-depth review of pertinent laws, regulations, and foundational documents.

One of the paramount achievements of this research is the formulation of a multi-level model that proficiently measures the optimal combination of organizational support factors and innovative human resources within Qazvin's government organizations. This model is innovatively designed to predict the output variable based on the carefully evaluated values of the input variables. The strategic implementation and meticulous execution of this model within the government organizations of Qazvin can be considered exceedingly practical and unequivocally beneficial, aiming to significantly enhance the operational effectiveness and efficiency within these institutions.

In this research, the comparative study of Gamification skills with the competencies of the managers' Assessment Center is discussed. This research is practical in terms of purpose and in terms of method it is a kind of mixed research(qualitative-quantitative). To accomplish a comparative study, a component-oriented method was used, in which the competency of Government Managers in 1657363 instructions of Administrative and Employer Organizations was evaluated with the competencies of Lumosity Gamification tools. To collect data, interview tools, and semi-structured questionnaires were used. The statistical population includes 5 experts and evaluators, 10 managers of evaluation centers, and 10 evaluatees. The Delphi method was used to analyze the qualitative data, and the quantitative analyses were accomplished by the Pearson correlation test. The results show that the Lumocity application covers 9 of the 12 competencies identified.The speed of decision making skills, analytical thinking, and team building skills; memory skills, problem solving skills, and analytical thinking; the skill of paying attention to the competencies of convergent thinking, planning and coordination skills, and systematic thinking; problem solving skills, analytical thinking, and problem solving skills; The skill of flexibility including the skills of team building and flexibility and the last skill introduced in the Lumocity application, which is the mathematical skill of problem solving, monitoring and control skills.

  This research was done with the aim of designing and explaining the pattern of formation of evidence-based policies in the field of attracting and retaining professional employees. This research is applied in terms of purpose, exploratory in terms of approach, and mixed (qualitative-quantitative) in terms of data analysis. In the qualitative phase of the research, a group of experts, including university professors and experienced consultants in the field of human resources management, as well as senior managers of human resources in Iran's aviation industry, were considered as the statistical population. In this phase, 11 experts were selected using the purposeful sampling method. The main tool of data collection in the qualitative phase of the research was in-depth and semi-structured interviews with experts. In the qualitative phase of the research, the data obtained from the interviews were analyzed based on the theme analysis method. In the quantitative phase, all senior managers of Iran's aviation industry were considered as the population, and among them, 108 people were selected as a statistical sample based on simple random sampling. In the quantitative phase of the research, a closed and researcher-made questionnaire consisting of 27 items was used as the main tool for data collection. The validity and reliability of this questionnaire was checked and confirmed in different ways. In the quantitative phase of the research, SPSS and Lisrel software were used to perform descriptive and inferential analyses. Finally, the research results led to the design of a multi-pronged model for the formation of evidence-based policies in the field of recruiting and retaining professional employees. This model includes three main tentacles including witnessing, technical and political, each of these tentacles also includes subcategories.

This article was conducted with the aim of investigating the status of human resource management development indicators based on competency components in the e-commerce development center. The research method is applied in terms of purpose and in terms of the type of data, it is an exploratory mix that is both qualitative and quantitative. The research method was carried out in the qualitative part of the foundation's data and in the quantitative part, using a descriptive survey method. The statistical population in the qualitative section included a number of experts and in the quantitative section it included all the employees of the E-commerce Development Center including 340 people. In the qualitative part, 10 people were selected using the targeted snowball method, and in the quantitative part, 181 people were selected randomly and clustered according to the Karjesi and Morgan table. The validity and reliability of the verification questionnaire was analyzed with a coefficient of 0.855. The findings showed that the indicators of the development of human resources management are: (Strategic view: attention to the way of selecting employees, emphasis on employee training, having the necessary budget, establishing new technologies in the organization, the existence of succession view, attention to the level of employees' capabilities , clear explanation of the organization's goals, attention to the personality characteristics of employees), (part of identity: continuous training, attention to the management of intellectual capital, formation of the appointment committee, central research), (elimination of deficiencies and improvement of skills: emphasis on motivational issues in the organization, flexibility organizational adaptability, appropriate distribution of financial credits in the organization, the existence of a scientific view among managers and the use of experienced managers), (individual-organizational problems: lack of attention to employee motivation, weakness in planning and implementation of organizational goals, lack of organizational flexibility, Frequent managerial appointments, discretionary appointments, financial restrictions, involvement of other organizations in appointments, lack of continuous control and supervision of employees, (development of organizational structural reform processes: evaluation of the work performance cycle, retention of expert employees in the organization, formation of working groups, modeling of organizations successful internally and externally), (the professional competence of the organization: satisfaction, organizational development, targeted recruitment, capital management, realism, organizational commitment). In addition, all components except the components that emphasize employee training, create unity in the organization Lack of attention to employee motivation, lack of organizational flexibility, formation of working groups, organizational commitment and effective appointments in the organization are not in a favorable situation. In addition, the resulting model has a suitable structure.

Today, environmental issues are more sensitive among societies than in the past, and governments are expected to take the necessary measures to reduce environmental pollution and destruction and damage to the health of human and animal communities as much as possible. One of these solutions is to use the green tax tool, which, despite its high effectiveness, faces many obstacles in the way of implementation. Therefore, the aim of the research is to identify and prioritize the obstacles to the implementation of green tax policies with an emphasis on the protection of human and animal communities.

The current research is applied in terms of purpose and is among quantitative research. After examining the theoretical foundations and previous researches, 51 implementation obstacles were identified and in the next step, the fuzzy Delphi method was used in order to localize and determine the implementation obstacles of green tax policies. For this purpose, 12 experts were polled with a market questionnaire and after 3 round trips, the experts reached a consensus. Next, TOPSIS fuzzy method was used in order to prioritize the identified obstacles. For this purpose, 32 managers and specialists, who were selected purposefully, were asked for their opinions with a questionnaire.

Based on the findings of the fuzzy Delphi phase, 47 obstacles and 10 dimensions for the implementation of green tax policies were identified. Also, the results of the TOPSIS fuzzy method showed that the most important obstacles include "bureaucratic structure in the policy implementation organization", "weak content and lack of integration of policy components" and "weak leadership skills among executive managers".

The results of the research showed that the implementation of green tax policies has a complex and multiple nature, and for success, a set of factors related to the executive organization, auditors and experts, policy content and external factors should be considered. Finally, the results show that the implementation of green taxes is necessary to achieve the goals of sustainable development and the protection of human and animal communities in order to reduce damage and pollution.

In the past two decades, migration from Iran to other countries has been the subject of critical decision-making by a considerable number of experts and professional workers in various fields. The present research has been carried out with the aim of providing a model for the formation of evidence-based policies in the field of attracting and retaining professional employees, considering the ethical components of Iran's aviation industry.               

This research is applied in terms of purpose, in terms of survey-exploratory approach, and in terms of type, it is qualitative. The statistical population of this research was a group of experts, including university professors and experienced consultants in the field of human resources management, as well as senior managers of human resources in Iran's aviation industry, and based on the purposeful sampling method, 11 of them were selected as a statistical sample and interviewed. were placed Selection of experts and conducting interviews with them continued until theoretical saturation was reached. The approach adopted in this research to analyze the interviews was theme analysis.

A total of 11 interviews were conducted, 134 initial concepts were extracted, and after examining and putting them together and merging similar concepts, 59 final concepts were identified and led to the presentation of a model including 27 sub-themes and 9 main themes.

In the ethical and organizational dimension, factors such as organizational justice, faulty indexing in the selection process, heavy and cumbersome supervision during service, and lack of attention to meritocracy in job promotion processes are very important in keeping professional employees. From the occupational and psychological aspect, dissatisfaction compared to the international standards of the aviation industry, dissatisfaction with the career path, dissatisfaction with the social status, and the appreciation of the category of immigration in the society and the increase of the internal motivation of the aviation industry specialist employees to migrate, the increase of the practical actions of the employees Aviation industry specialist for migration, and the noticeable vacuum of knowledge and experience of aviation industry specialist employees after migration are very important in maintaining professional employees.

In the upstream documents of the country, the issue of responding to scientific and research centers to the demand of industries and organizations has been emphasized; Therefore, the cooperation between the university and industry has become very important. Numerous national measures have been taken in cooperation with the university and industry, which need to be evaluated. Two main goals are pursued; One is to discover the extent to which the goals and functions of the actions taken in the field of university-industry relations have been achieved, and the other is to provide executive solutions to improve the current path and move towards the excellence of university-industry cooperation. In this research, using methods such as library studies, interviews with experts and the focus group, first the measures taken in the field of cooperation between the university and the statistics industry and then by surveying experts, the effectiveness of each measure in terms of each criterion and The rate of fulfillment of each criterion was calculated in terms of measures taken and analyzed using statistical mean method. It can be said that none of the measures that have been taken so far in the field of industry-university relationship have had the desired efficiency and also the efficiency criteria have not been met to an acceptable level in most of the executive measures. At the end, several proposals were presented, including the establishment of the executive headquarters of university-industry cooperation and the privatization of offices related to industry and university entrepreneurship

Recently,social networks have attracted special attention. In various social networks, users are constantly expressing their public as well as private opinions on various topics. Twitter is one of these social networks that has become very popular in the last decade. This social network provides organizations with a fast and effective way to analyze customers' feelings, views, and criticisms of market success. Emotional analysis is a process in which people's opinions, feelings, and attitudes about a particular subject are extracted. There has been a lot of research on emotion analysis based on user comments, documents and articles. Analysis of what is being said is very different from Twitter data, because Twitter tweets are limited to 280 characters and force users to express their feelings concisely. The best results in emotion classification are obtained from machine learning techniques such as simple Bayes and support vector machine. In this research, a method for analyzing emotions in social networks is presented. In this regard, we have tried to improve the classification of text by Bayesian method to some extent by focusing on the stages of data preprocessing and feature selection.users' feelings are analyzed. The classification problem has been formulated and solved using the latest achievements in the field of machine learning. . To evaluate the proposed method in this dissertation is from the Twitter data set scenario. The proposed method is compared with other classification methods. Has shown the best performance.

This study was conducted with the aim of evaluating the dimensions and components of health insurance policies in the field of recruitment and recruitment.

The current study was descriptive-analytical and cross-sectional, which was conducted in 2023. The statistical population included managers and consultants of Iran Health Insurance Organization. 10 people were selected as study samples in a purposeful way and the data were collected using a researcher-made questionnaire and analyzed using the 22nd edition of SPSS software.

Descriptive indicators related to the importance coefficient show the degree of conflict and ambiguity of policies from legal documents (policies). Also, the average obtained from the samples in most of the subjects (policies) was higher than the theoretical average (2.5).

By creating a comprehensive evaluation system of human resource development policies and understanding the extracted factors and using them in a valid evaluation system, the efficiency and effectiveness of the organizations can be improved.