جستجوی مقالات مرتبط با کلیدواژه « مدل سازی ساختاری - تفسیری » در نشریات گروه « علوم انسانی »

Generation Z employees, whose presence in government organizations is increasing compared to other generations, have ideas, desires and mentalities that are appropriate to their generation, and the management of this generation brings fundamental challenges for organizations, so the purpose of this research is to investigate the antecedent challenges of the presence of generation Z employees in government organizations. This is an applied research. The collection of information in this research is a survey and the philosophy of this research is interpretive. The statistical population of this research is members of generation Z and experts related to the research topic. In this research, simple sampling method was used to study members of generation Z and purposeful sampling method was used to interview experts, and sampling continued until theoretical saturation was reached. This research has two parts. The first part is the qualitative content analysis. In this first part, the collected data were analyzed with the qualitative content analysis method, which resulted in 574 codes, 031 categories and 82 criteria, and finally producing 7 main dimensions namely structural challenges, communication challenges, management challenges, cultural challenges, identity challenges, technological challenges and job challenges. The second part of the research is interpretive structural modeling in which the dimensions calculated from the qualitative content analysis were modeled. technology and identity challenges were identified as the most effective and job challenges as the most impressionable challenges.

The aim of this research was to provide interpretive structural modeling of factors affecting the moral decision making of soccer players. The method of this research was mixed and its design was exploratory. The statistical population of this study consisted of men's and women's top league football players, 15 of whom were selected purposefully and based on theoretical saturation. A semi-structured interview was used to collect data in a qualitative study, and a questionnaire was used to collect information in a quantitative study. In order to check the audit of the research, the indicators of credibility, transferability, reliability and verifiability were used, and to analyze the data of the qualitative study, coding was used, and the interpretive structural analysis method (ISM) and ISM software were used for the quantitative study. As a result of qualitative data analysis, 74 final concepts, 14 sub-categories and five main categories affecting ethical decision-making were identified. As a result of the quantitative data analysis, it was found that the factors affecting ethical decision-making at the level of sub-categories consist of four layers, and among these, the organization environment, the professional environment, the living environment, the legal environment, and the fundamental values are among the most fundamental. They were layered. This result shows that in order to move in the complex path of ethical decision-making of football players, at the beginning of the path, the organizational, professional, life, legal and fundamental values needed by this phenomenon must be created

The aim of the current research is to provide a model of factors affecting the implementation of green supply chain management in the construction industry. This research was conducted using a mixed approach. The current research design is the analysis of hidden content and the target community, managers and contractors active in the construction industry and familiar with the supply chain of this industry, and the purposeful sampling method was used. For modeling, the structural-interpretive method was used, and finally, the power of penetration and the degree of dependence of the factors were determined by using Mick-Mac analysis. In order to identify the components of the research, first, a meta-combination approach and a systematic search of sources were used in the period between 1392 and 1402 for internal research and between 2013 and 2023 for external research, and then semi-structured interviews with 14 experts were used. Based on the findings of the research, 101 primary codes were extracted in 14 categories including: internal environmental management, green technology, reverse logistics, green purchasing, green design, green construction, green transportation, green human resources management, green marketing management, internal and external obstacles and drivers. and green supply chain management performance were classified. Also, the modeling results have shown a five-level model in which internal and external drivers and obstacles were placed as the most influential variables in the fifth level and the green supply chain management performance variable as the most influential variable in the first level.

Moral courage is necessary to observe moral behavior when dealing with moral challenges raised at the time of crisis. The purpose of this study is to present an interpretive structural model (ISM) of the antecedents of moral courage during crises among the staff of Kerman University of Medical Sciences, Iran. 

This is a descriptive-analytical survey. After reviewing the literature and identifying the antecedents of moral courage, a questionnaire with semi-closed questions was designed and distributed among 18 managers and expert from the university, who were selected using non-probability purposive sampling method. The data were analyzed in MATLAB software, version 9 and MICMAC software, version 2. 

Based on the findings, the antecedents included individual factors (self-esteem, personal values, moral model, personality type), managerial factors (leadership, criticism acceptance, honesty, leader-member exchange), organizational factors (organizational transparency, accountability, culture), and environmental factors (economic, cultural, political/legal). 

The results can help relevant authorities to plan and make appropriate decisions in this field.

This research aims to identify the consequences of knowledge hiding and develop a structural model and the causal relationships between them using a mixed method. Research methodology is pragmatic paradigm in terms of research philosophy with integrated approach, the first phase is qualitative and the second phase is quantitative, it is also survey in terms of research strategy. The statistical population of the qualitative section includes 34 articles out of 45 related to the period 2000 to 2023 and related to the consequences of knowledge hiding. In the quantitative part of the research, the statistical population included 10 experts in the field of knowledge management. In the first phase, data was obtained from the content analysis of articles related to knowledge hiding, in which 16 consequences of knowledge hiding were identified. In the second step, fuzzy Delphi was adopted in order to select the most important ones and finally 8 factors were identified. In the next step, the structural model of these factors was developed using the interpretive structural modeling method. By using Micmac analysis, the factors were classified based on driving and dependence power. At the end, the fuzzy DEMATEL method was adopted in order to analyze the causal relationships between the factors. The results showed that lack of empowerment is the most important consequence of knowledge hiding, and lack of creativity and innovation, low quality of decision-making, lack of organizational commitment, job dissatisfaction, lack of organizational development, poor performance and turnover intentions are other consequences of knowledge hiding.

The purpose of this research is to interpret the structural modeling of risk-based internal audit planning drivers in banks. Comprehensive risk-based planning enables the internal audit function to focus and align its limited resources well with reassurance and informed advice on critical issues facing the organization. The rapidly changing risk landscape in today's world requires internal auditors to evaluate risks periodically or even continuously. Risk-based internal audit programs should be dynamic and agile. In order to achieve these features, some senior internal audit managers update their internal audit program every three months or at any time and make small changes in it. In this regard, it is necessary to identify and structurally interpret the drivers of risk-based internal audit planning in banks, so that while identifying the drivers, more awareness can be gained about the influence and effectiveness of the factors. Identifying the drivers of risk-based internal audit planning in banks through theoretical background and semi-structured interviews with qualitative content analysis method based on theoretical saturation technique and purposeful sampling method with 14 professors and branch managers and bank internal auditors Was performed. The validity and reliability of the qualitative part were confirmed by relative content validity method and Cohen's kappa index, respectively. Coding of interviews using MAXQDA2020 software led to the identification of 16 drivers, which were selected as the most important drivers according to expert feedback and the pie chart of 12 drivers. Based on the results of the research, the drivers of risk-based internal audit planning in banks include auditors' professional maturity, the challenge of documentation, insisting on outdated procedures, the complexity of banking operations and activities, the bank's functional scope, lack of separation of duties, organizational structure, time monopolies, characteristics of the board of directors. , the support of senior management and employees, the competence of internal auditors, the lack of information provided by different banking units.In order to stratify the identified drivers, the opinions of 72 internal auditors of banks and managers in bank branches were used using stratified random sampling and paired comparison questionnaires. Validity and reliability of the questionnaire were confirmed using content validity and test-post-test method. The drivers identified by the interpretive structural method led to the formation of eight levels, the organizational structure was the most effective, and the lack of segregation of duties and the lack of information provided by different banking units were the most effective factors. It is worth mentioning that, during the many researches that have been conducted in the field of risk-based internal audit planning, they have not done leveling and interpretive structural modeling, and the innovation of the present research is in the modeling of its drivers.

The current research was conducted with the aim of designing a virtual education model using the interpretive structural modeling method at Farhangian Khorasan Razavi University. This research was a descriptive survey-cross-sectional type in terms of practical purpose and implementation method. The current study population was the staff and faculty members of Farhangian Universities of Razavi Khorasan Province, including two campuses of Brothers and Sisters and five faculty centers, each center was considered one floor. According to the principle of theoretical saturation, the samples of the present study were determined by 13 people who were selected by stratified random sampling method after checking the inclusion criteria. The data of this study were collected through interviews and research literature of library studies (content validity was confirmed above 70% and reliability was obtained with the retest method after a two-week test) and were analyzed with thematic analysis and three rounds of Delphi. Then, by transforming the relationship matrix and creating consistency in the relationship matrix, the ISM graph was drawn and the type of variables was also determined using MICMAC analysis. According to the analysis of interviews and library studies and research literature, virtual education in Farhangian University was in the form of 12 variables. These 12 variables were stratified in 5 levels. In the fifth level, management, in the fourth level, organizational, pedagogical and technological factors, in the third level, ease of access, knowledge management and flexibility in education, in the second level, educational quality, support services, information and content and measurability,

Current researches around the axis of strategic management indicate that strategy formulation cannot be the main concern or problem of organizations. Rather, what has become a problem is the lack of alignment between different departments of the organization and the organization's strategies. This research tries to provide a model for creating strategic alignment of employees with the interpretive structural modeling approach. The tool of this research was a researcher-made questionnaire that was given to experts (11 university professors and managers and employees of Bushehr gas company). To check the validity of the research tool, content validity was used and the reliability of the tool was calculated with Cohen's kappa index, which was reported as 0.65. In order to conduct the research, first by reviewing the literature, the desired factors were extracted, and then by forming a focus group of university professors and managers of Bushehr Gas Company, eight final factors were selected, which were finally selected using interpretive structural modeling at three levels. The results of the research showed that factors such as the maturity of the organization's culture, employees' perception of the organization's goals, employees' participation in strategy formulation, appropriate reward system and transparency of the organization's mission statement, have the greatest impact on the strategic alignment of employees. Therefore, managers are advised not to ignore the great impact of these five factors if they want to align employees with the organization's strategies.

Iranian architecture and urban planning, despite its abundance and diversity in various dimensions, is still a place of discovery and research. Based on this, the current research aims to provide a model for prioritizing the effective dimensions and indicators of the pattern language on underground cities and to explain the relationship between these two issues in order to understand underground cities. In this regard, two methods of grounded theory and structural-interpretive modeling have been used to analyze data and achieve research goals. The findings of the research show that this type of architecture can be recognized according to the pattern language in three dimensions, macro, medium, and micro, so that the indicators of the macro dimension are the most influential and the indicators in the middle dimension. have the greatest influence in the localization of architecture and urban planning in Iran today.

The purpose of this study is to identify and determine the level of factors affecting career networking behavior.

This research is mixed research with a qualitative-quantitative approach. Library search was used to examine the theoretical foundations, semi-structured interviews were used to collect data, and questionnaires were used to collect the ideas of academic experts. Theme analysis was used to identify factors. In the qualitative part, 15 people were selected from the managers of government organizations in Qom province with the purposeful sampling method in order to identify the factors. In the qualitative part, 14 people were selected from the professors of Farabi Campus and Qom University with the snowball sampling method in order to validate the factors and also compare the factors two by two.

Based on the findings of the present research, 31 codes were categorized into 8 factors. The validity of all the factors was confirmed with the Lawshe’s coefficient and the interpretive structural modeling method was used in order to level 8 factors. Finally, 8 factors were prioritized in 5 levels; Customized appointments and mendacious personal branding on the first level, creating toxic communication networks on the second level, distrust of employees to mechanisms on the third level, decision-making by advocacy groups on the fourth level, inefficient supervision, unclear rules and regulations and senior management style were placed at the fifth level.

Based on the findings of the research, each of the factors related to career networking can lead to the success of employees in career promotion. Therefore, it is necessary for the managers of the organization to maintain effective human resources by using appropriate mechanisms in order to improve the growth and development of competent employees.

Investment in the construction industry can only cause economic growth and achieve economic results when capital injection and housing production are targeted and ultimately lead to housing consumption; because if the imported funds are not directed to the building sector, the final price of housing will increase and will make real consumers less able to buy. Therefore, the entry of liquidity into the construction industry requires formulation of strategy and policy in order to increase the growth rate of housing. Also, risk management and knowing its key components lead to reducing construction costs and creating a more appropriate price in the construction industry. The aim of the current research is to know the dimensions and components of risk management in Iran's construction industry with a fuzzy Delphi approach with interpretive structural modeling and DEMATEL technique.

The current research method is exploratory and the goal is to answer the research questions. In terms of the type of research, it is practical because its results are used for risk management in Iran's construction industry. The method of the current research is mixed (qualitative-quantitative). In the qualitative dimension, using the fuzzy Delphi method, it has identified the dimensions and components of risk management in the construction industry in Iran. In the quantitative dimension, by using interpretative structural modeling technique and DEMATEL, by using surveys of experts and university professors, it has been done to stratify and examine the intensity of relationships between dimensions.

The results show that at the lowest level of the model (level three), the risk dimension of political factors is placed, which acts as the cornerstone of the model and to achieve risk management in projects. Iran's construction should start from this factor. Also, the results of examining the intensity of relationships between dimensions with Dimetal show that the social risk dimension is the most effective dimension, has the highest numerical value based on the row sum (D), and thus, with the most influential dimension among the investigated dimensions of risk management in Iran's construction industry has been identified. Also, according to (D-R), the lowest value, the risk dimension of laws and regulations, is the most effective dimension of risk management in Iran's construction industry.

Originality/Value:

 The current research is new in terms of the subject area, i.e. in the field of the construction industry of Iran, and in terms of the location area, i.e. companies active in the field of the construction industry of New Tehran. The research gap that creates the space for innovation in the current research, according to the perspective of soft operations research, which is a tool for creating complex and new problems, is the use of Interpretive Structural Modeling (ISM) and DEMATEL. Less research has been done on leveling and examining the intensity of impact and effectiveness of the components of risks in the construction industry.

The research aims to identify and analyze the challenges of knowledge-based urban development in Ahvaz city, using a descriptive-analytical approach. The opinions of 20 experts were utilized to identify the factors and barriers hindering the realization of knowledge-based urban development in Ahvaz city. The ISM interpretive-structural modeling and Mic-Mac software were employed to examine the data on eighteen factors categorized into four dimensions (institutional-planning, economic, social-cultural, and physical) that serve as significant barriers to the implementation of knowledge-based urban development in Ahvaz. The findings revealed that the dominant and traditional political economy, along with rigid and unilateral approaches in policy-making, are the primary influential factors obstructing knowledge-based urban development. Additionally, citizens' reluctance to share knowledge and engage in communication, undervaluing knowledge acquisition and distribution, absence of a collaborative culture for knowledge management, citizen disconnection from current knowledge, underutilization of human capital, inadequate communication between universities and city management organizations for knowledge exchange, limited access to broadband and ICT services, digital divide, and unequal access to information and communication technology infrastructure, are among the key independent variables significantly impacting the city of Ahvaz

The current research was conducted with the aim of designing the operational budgeting system deployment model at Payam Noor University with the structural-interpretive modeling approach. This research is practical in terms of purpose and qualitative and descriptive in terms of research method. The statistical population of this research includes experts and experts in financial affairs and budgeting of Payam Noor University, among them there are 18 people using judgmental and bullet sampling methods, some considering expert criteria as the sample size. were selected for study. This research has been done in two consecutive stages. First, the required qualitative data was collected using semi-structured interviews with experts. So, using the qualitative content analysis method, the collected data were analyzed, coded and categorized, and in this way, the dimensions of the components and indicators of the establishment model of the operational budgeting system were identified. In the second stage, using the results obtained from the qualitative part of the research, a questionnaire was designed and prepared to evaluate the constituent elements of the conceptual model calculated based on structural-interpretive modeling. Then this questionnaire was completed by the experts of Payam Noor University and the data obtained from this stage were analyzed using "Mik Mak" software, the output of which led to the identification of independent and dependent variables and the leveling of variables based on influence and effect. They were accepted. The results of the qualitative content analysis showed that the operational budgeting system deployment model was calculated in the form of 3 general categories, 14 subcategories and 51 concepts. In fact, the results of the qualitative part of the research in the form of a three-pronged model in three general categories: contextual factors including 5 components (upstream documents, good governance, economic factors, financial culture,facilitating systems, provision of infrastructure), structural factors including 6 components (strategic approach, organizational structure, performance management system, integrated information system, accounting and auditing system, efficiency and effectiveness) and negative factors including 3 components (management, leadership and motivation, capable employees) were identified and categorized as the dimensions and components of operational budgeting system establishment in Payam Noor University.

Structures and processes in any organization are the most important dimension, in other words, the software of organizations to perform their missions. The judiciary, with the serious mission of justice and the realization of justice in society, has complex and multidimensional structures and processes, and based on these structures and processes, it carries out this serious mission. In fact, it should be said that the effectiveness of the judiciary as a feedback loop of the country's governance system will have a direct impact on the overall efficiency of the system, and therefore continuous identification of damage to the structures and processes of the judiciary can improve the performance of the judiciary and consequently It will become the system of governing the country. The present study aimed to identify the structural damage of the judiciary; After studying the Judicial Transformation Document, and other related research in this field, and interviewing judges and experts, 83 structural injuries were counted and classified into 11 general categories. In the next step, using interpretive structural modeling and Mikmak analysis, they were prioritized and classified, and it was identified that the four disadvantages were the lack of specialized proceedings and the rules of procedure; Lack of relative transparency in litigation; Lack of appropriate mechanisms for feedback, learning and intelligence of the judiciary and weakness in the budgeting system and allocation of financial resources; Is one of the most effective structural damages in the judiciary and the lack of coherent process mechanisms to reduce delays, which is the most important issue in the judiciary, has been identified as one of the most effective damages that the judiciary must eliminate eleven damages at higher levels solving and thereby reduce trial delays.

In recent years, the increase of violent robberies, as a violent crime, has attracted the attention of thinkers and researchers in the field of sociology. Violent robberies threaten the quality of life, social stability, and the sense of social security of social activists at different levels. This, in turn, affects the social development indicators in different dimensions. Considering the issue, the study tried to identify the socio-economic factors affecting violent robberies in Khuzestan province. Qualitative method and interpretive structural modeling approach were used for this study. The criterion for participant inclusion was having sufficient expertise and information about violent robberies, and the condition for stopping the data collection process was the consensus of experts on the subject and theoretical saturation. The data were analyzed using MicMac software. The participants included 33 security forces experts of Khuzestan province and professors of sociology, psychology and economics of Shahid Chamran University of Ahvaz. Purposeful sampling method was used to select the participants. The results showed that the rate of violent robberies in Khuzestan province (from the experts' view) was high. The ranking of identified factors identified by MicMac software showed that the most important factors of violent robberies in Khuzestan province respectively were: social anomie; cultural poverty; normalization of theft among thieves; drug addiction; economic-social inequality; poverty and unemployment.

Tourism industry, as the biggest economic generative industry in the world in the last decade, is a good alternative for the growth and development of the countries. The winners of this industry will be companies that create innovative ideas and use them as core competitive advantage. In this regard, the present article aims to examine the innovation drivers in tourism companies in Gilan province with a systematic approach. The research method is descriptive and its purpose is applied. The questionnaire was used to collect research data. The statistical population includes a combination of 13 university experts and the Cultural Heritage, Handicrafts and Tourism Organization of Fouman city. After identifying 32 drivers of innovation trough the literature review, these drivers were distributed among experts in form of a questionnaire, and applying Delphi method, 15 main drivers were used to implement interpretive structural modeling (ISM) method. According to the results, the innovation drivers were classified into six levels. The findings show that the agility of innovation methods lies at level 1, open innovation, innovation engagement, thinking skill, experts’ integrated communication and creativity techniques lie at level 2, work environment, conflict resolution lie at level 3, knowledge about competitors, customization and creative analysis of requirements lie at level 4, innovation leadership, market knowledge and team composition lie at level 5, and finally portfolio management lies at level 6. These drivers were evaluated in the MICMAC matrix and analyzed in terms of their influence and dependence power.

Organizational cooperation emerges as a tool that allows members of the cooperation network to make decisions based on shared information and two-way exchanges that coordinate and synchronize activities with the aim of attracting It causes the satisfaction of the market and the increase of the common profit. Cooperation networks are formed by organizations that have a prior desire to cooperate with each other in order to achieve their common interests by using information technology and through joint decision-making and effective participation. The purpose of this research is to investigate the networks (CNs) and the cooperation process that allows them to increase interaction in the environment. These new tools are based on enterprise architecture (EA). On the other hand, organizations that cooperate with other organizations in order to gain competitive advantage and deal with environmental complexities, each has its own unique organizational architecture. Investigating the effect of this organizational architecture on the cooperation network architecture of organizations is the target of this research. In this regard, by reviewing the theoretical literature and using the Interpretive Structural Modeling (ISM) method, a framework has been developed to examine the impact of the organization's information technology architecture on the architecture of inter-organizational cooperation. The results of this research show 5 dimensions of organization architecture and 6 dimensions of inter-organizational cooperation architecture and how they are leveled and related in the form of a final model. The insight that this framework provides to organizations can help in better designing the architecture of the organization to enjoy an effective cooperation and the benefits of it. Enterprise architecture is a continuous process after initiation. Establishing such a process involves interacting with different dimensions of the organization. Therefore, the cultural, human, technical, structural, event, etc. dimensions throughout the organization are fundamental issues in the successful implementation of organizational architecture. Considering that the implementation of organizational architecture is costly and expensive, its poor implementation provides many problems for the organization.

In the subject of common information technology, we strengthen and precisely specify the legal dimensions, standards, control guidelines, time frames and the form of situations. MICMAC analysis showed that the components of the content model (conceptual description) of the organization's architecture, the logical model (systemic description) of the organization's architecture and business strategies of cooperation have the greatest influence on other components and are key components in They are considered to be the formation of the cooperation process. Other investigated components have high power of penetration and dependence and are located in the connected area and these components have two-way communication with each other. According to the results of the research, the following suggestions were made: The research results show that technology plays a very important role in the development of inter-organizational cooperation, so it is suggested that organizations design inter-organizational information systems. Among the factors of level 1, knowledge cooperation is the factor influencing inter-organizational cooperation. Therefore, in organizational architecture, the mechanisms of knowledge production, acquisition and application should be predicted. Designing and establishing specific processes for inter-organizational cooperation is a necessity that must be considered by organizations in the design of organizational architecture.

Today, organizations experience complex and unpredictable changes and crises around them. In this situation, in order to achieve innovation and optimal conditions in complex environments, it seems necessary to go towards flexible and agile solutions. The agility of business processes in complex and dynamic conditions. In this regard, the main goal of this study is the systematic structuring of the problem of agility in business processes, one of the most important requirements of which is the use of research approaches in soft operations in the direction of the systematic structuring of the problem.

In this research, first by using the steps of meta-combination technique and then with the help of semi-structured interview tools, a sample of 18 experts, who are university professors and experts active in the field of process management, as well as people who have experience in the fields of related to the improvement of work systems and processes in different organizations, were selected, which were selected through a targeted non-random method and snowball method. In the next step of the research, the ISM approach was used to explain the communication pattern of managing agile organizational processes, which was collected with the help of a questionnaire. Finally, the data collected through the questionnaire were analyzed using the Interpretive Rating Process

Based on the answers to the questions asked in this research, first after going through the stages of synthesis and completing the required data throaugh interaction with experts, a general framework of 17 main variables was obtained. The components of the proposed main framework include appropriate culture, process leadership, process governance, human resources, technological infrastructure and organization structure as system enablers, The strategize based on improvisation, creative stability, dynamic adaptability, organizational learning and environmental understanding as capabilities of the system, continuous control and monitoring of processes, process quality management, integration of knowledge management with organizational processes and Making the components of the process management life cycle more efficient are the basic actions and measures and finally the improvement of quantitative and qualitative indicators as the result of the system. In the following, according to the conceptual framework of ISM, empowering and empowering indicators were classified into four levels. In the next step, the indicators were prioritized through the interpretive ranking process. According to the findings obtained from the research and based on ISM, the technology infrastructure component was considered as an important enabler at the highest level. According to this analysis, information technology with an influence that affects all variables including process culture, manpower and appropriate structure. organization, it strengthens the spirit of learning and transformation, teamwork and partnership in the organization and provides the basis for continuous growth of employees. Also, according to the findings of the interpretative ranking process, the leadership of the processes was given the first priority.

The results showed that IT infrastructure should be considered as an important variable in the agility system of business processes. On the other hand, according to the external performance variables expected from the implementation of the agile system in the management of processes, the process leadership component dominates the technology infrastructure enabler based on all the expected performance variables (except gaining a competitive advantage). Therefore, the organizations that want to be agile in their process management system should pay attention to the characteristics of leadership in the processes in the first place. After that, the results showed that environmental awareness, knowledgeable and competent human resources, organizational learning dimension, contingent and appropriate structures, governance, improvisation-based strategy-making, technological infrastructure, dynamic adaptation, culture and creative sustainability are prioritized respectively. The following should be considered.

Today, the sports industry is one of the most attractive and popular industries, which in recent years has led to the rapid growth of small and medium enterprises. Despite the importance of these companies in creating value and wealth creation, we are witnessing the failure of these businesses, especially in the early years of their formation. Therefore, the purpose of this study is to identify the factors affecting the success of sports small and medium-sized enterprises (SMEs) and to present a structural-interpretive model (ISM) of these factors. Interpretive structural modeling is a way to design a pattern of complex and multiple relationships between variables of a phenomenon. Therefore, first, by reviewing the research literature, 12 factors have been extracted: Finance, technology, legal structure, Porter's competitive force (competitors, partners, customers), supportive structure, product quality, human resources, marketing and customer orientation, business and strategic plan, training structure, management characteristics and market share. Then, using the opinion of experts and using the method of structural-interpretive modeling, the relationships between these factors are identified and its interactive model is developed. The structural-interpretive model of these factors indicates that the three factors of finance, legal structure and supportive structure are the key variables affecting the success of sports businesses and the cornerstone of the interactive model that has the most impact and least effectiveness. Finally, in order to accelerate the growth of success of sports medium-sized enterprises have been presented some suggestions.

Risks related to human resources can become an important part of business risks. Although often identified as risks resulting from non-compliance with occupational safety requirements, they can have broader and deeper impacts. Therefore, the purpose of this research is to design a human resource risk model and determine its control strategies in the cargo and passenger transportation organization of Yazd Municipality.The current research is mixed in nature and descriptive-survey in terms of data collection. At first, the risks of human resources were identified and categorized through interviews with the experts of Yazd Municipality Cargo and Passenger Transport Organization. Then, a panel consisting of experts was formed and the conceptual model of human resources risks was designed through the structural-interpretive modeling method, and finally control solutions were presented. Through interviews with experts, 39 human resource risks were obtained in the form of 7 categories. by using the members of the expert panel, the human resources risk model was designed, which has the most impact on the organization's management issues and the risk of knowledge and skills of human resources, the risk of physical and mental health of human resources, the risk of human capital and Behavioral risk of human resources has the most effectiveness.Investigating and controlling human resource risks is very important for organizations that are interested in improving performance. For this reason, it is better for managers, policy makers and planners of the organization not to neglect the benefits of identifying and analyzing human resource risks at different levels.