جستجوی مقالات مرتبط با کلیدواژه « رویکرد ساختاری تفسیری » در نشریات گروه « علوم انسانی »

The phenomenon of poverty is a social, economic, cultural, and political reality that has long been one of the greatest human problems. The purpose of this study was to identify the factors affecting poverty and examine the internal relations and its leveling with an interpretive structural approach in the Imam Khomeini Relief Committee of Tabriz. In this regard, based on the factors extracted from literature, a questionnaire has been developed. In this phase, 41 indicators have been selected as the most important indicators affecting poverty at Imam Khomeini Relief Committee of Tabriz city. After obtaining appropriate validity and reliability for the questionnaire, it has been distributed among the statistical sample. After distributing the questionnaire, factor analysis was used to analyze the information and reduce the variables to dimensions. The results of factor analysis showed that about 68.3% of the total variance of variables was explained by 14 factors and about 31.7% of the variance was explained by other variables that were not measured. As a result, 14 factors have been identified as the most important factors affecting poverty. These 14 factors are important in order of importance: 1- Economic; 2- Social; 3- Individual; 4- Legal; 5- Family; 6; Environment; 7; Political; 8; Management; 9; Cultural; 10- Overseas; 11. Security; 12. Scientific; 13. Organizational; 14. Geographical. Finally, the interrelationships between factors and the leveling of poverty-related factors have been examined by presenting an extended structural-comparative model (ISM).

When a business faces problems and unsatisfactory results, it is time for transformation. To define an appropriate change strategy, the organization must understand the context of the transformation and the main needs driving it. Understanding the reasons for the change will help implement it and reduce some of the unnecessary costs the organization may incur. Researchers consider strategic agility as an ongoing ability for moment-to-moment strategic sensitivity, agile collective commitment, rapid and powerful resource renewal and expansion, and as an antidote to the pain of the repetitive succession of success, decline, resilience, crises, and updates. They also consider strategic agility to result from a combination of stability in processes and people, values and ambitions, sensitivity and flexibility in views, fluidity in expanding resources, and leadership unity in creating collective commitments. Organizations use strategic agility to respond flexibly to the needs of their stakeholders in the face of various risks and pressures. The agility of the employee performance management system alone is not enough, and government organizations must respond to problems on their own by using strategic methods. In this regard, the present research explains the obstacles and limitations of implementing an agile system for the strategic management of employee performance.

Design/ methodology/ approach: 

The current research is part of applied research and is of a mixed type. To carry out the current research, the interpretive structural approach (ISM) was used, which is a cognitive mapping method for leveling and determining the relationships between indicators. To implement ISM, determining the relationships and priorities of the elements in the system is on the agenda. The validity of this method, considering its mathematical basis, examines whether the interpretive structural model correctly and accurately interprets the information in the data. Due to the standardization of the questionnaire and the data collection method, the validity of this method is different from statistical methods, and it is included in the essence of its mathematical modeling. Also, reliability in interpretive structural modeling refers to the continuity of reliability and whether the interpretive model can maintain stability and honesty in different conditions and with increasing data volume. In this way, the validity and reliability of this method ensure the accuracy and reliability of the analyses and the results obtained, which were examined in this research and confirmed by experts according to its mathematical foundations from both perspectives. The current research is part of applied and mixed research. The statistical population of the research comprised senior managers of government organizations who were interviewed with five groups of experts, totaling 18 people, which continued until theoretical saturation was achieved. To collect data, interviews were used in the qualitative part, and a researcher-made questionnaire was used in the quantitative part. The required items were collected from this statistical population in a specific way (18 people) using standard questionnaires. The qualitative part of this research, relying on critical systems, which is one of the categories of research in liberating operations, fundamentally examined and identified the system from the perspective of different stakeholders. Quantitatively, this structure has been leveled, and their relationships have been determined by examining the interpretive structure.

The research findings identified 11 obstacles, and the results show that conflicts in the rules and, as a result, the separation of informal groups in the system are the most fundamental factors preventing the growth of this system.

 Limitations & Consequences: 

This research was conducted in the public sector, with special cases related to this sector, and the results may face limitations in other sectors.

Practical Consequences: 

This research helps public sector managers identify the obstacles and limitations in the way of the agile system of strategic management of employees' performance, enabling them to address these challenges with appropriate strategies.

 Innovation or value of the Article:

 This research adds to the knowledge of this field by presenting a model for the implementation of the agile system of strategic management of employees' performance and examining its limitations.

The purpose of the current research was to investigate the obstacles to the implementation of school-based management in Iran's educational system based on the interpretive structural modeling approach. The research method was a modeling study. The statistical population of the research was specifically the academic staff members of the university, 25 of whom were purposefully selected from the desired cases. The data collection tool was a researcher-made self-interactive questionnaire. In order to measure and evaluate the validity of the questionnaire, the criterion of content validity was used. The content validity of the questionnaire was 0.96. The data analysis was done with interpretive structural modeling method. The results of the research showed that 9 factors play a role as barriers to school-oriented management. Also, the results showed that financial obstacles (the cost of school-oriented management), socio-cultural obstacles and political obstacles (political focus on schools by the central government) as key independent variables have high influence power and low dependence. Also, the results showed that the lack of belief in the professional competence of school administrators, the lack of infrastructure facilities, the emphasis of upper management on the supervision and control of schools, and the lack of cooperation of local communities with school-based management as the linking variables with the greatest power of influence and the greatest power of dependence. and the centralism in the education system of the country and the lack of legal powers to school managers and staff as dependent variables have high dependency power and low influence power.

Occupational flu refers to all factors such as occupational stress, overwork, time pressure, etc., which disturb the individual's occupational balance and significantly reduce his performance. The purpose of the current research is to design a model of occupational influenza in the auditing profession using an interpretive structural approach. This research is based on mixed qualitative and quantitative research, and its statistical population in the qualitative and quantitative part includes 27 managers and experts in the auditing profession, whose opinions are based on interviews. Semi-structured questionnaire was evaluated using Atlas software, coding method and interpretive structural modeling approach. The results of the research include sixteen indicators of occupational influenza, which are described in four levels and in the form of the final model. The results of the research can provide a better understanding of the phenomenon of occupational influenza, and with its help, managers can reduce occupational stressors as much as possible with appropriate mechanisms in order to prevent negative personal and organizational results.

Education is generally viewed as crucial for rapid economic growth, and essential if we wish to increase the productivity of the poor by providing people with the skills they need to participate fully in the economy and in society. In between the importance and role of technical and vocational education in the development of societies has been debated for many years. Vocational education programs focus on the acquisition of appropriate skills, abilities and competencies as necessary equipment for the individual to live in adapt to the real work situation and contribute to the development of society. However, in Iran, it has not been considered as a field of study. For this reason, the purpose of this study was to design a model of factors affecting the selection of technical and vocational university with an interpretive structural Modeling Identifying these factors can help education and higher education in the technical and vocational field to encourage society to choose this field.

The aim of this study is to design a sustainable productivity model based on environmental knowledge and awareness in small and medium-sized industries using an interpretive structural modeling approach. The research approach was mixed with an exploratory design that consisted of two qualitative and quantitative parts. The participants included 15 academic experts and managers of small and medium-sized industries of Kerman province that were selected through purposeful sampling and snowball sampling methods. The qualitative part was carried out with the aim of identifying the factors related to sustainable productivity by searching in the theoretical bases and analyzing the content of interviews with members of the panel, and the quantitative part was done through the formation of a Structural Self-Interaction Matrix (SSIM). After analyzing data and drawing the model, 16 variables were identified in the nine levels as the drivers of sustainable productivity in small and medium-sized industries. Meanwhile, two factors including green management and green innovation have the highest influence and guidance, and managers must consider these factors as the foundation stone of sustainable productivity in small and medium-sized industries.

Science journalism on social media requires a clear framework and codified rules that can be achieved through scientific policy-making in this area. Given the deep research gap in this field, the present study attempts to model the science journalism policy on social media. This research is based on the purpose of an applied-developmental research and based on the data collection method, it is a descriptive research that has been done by cross-sectional survey method. The statistical population of the research includes theoretical experts (university professors) and experimental experts (experienced journalists). Sampling was performed by purposive method and after 20 specialized interviews, theoretical saturation was obtained. Content analysis and MaxQDA 20 software were used to identify the components of science journalism policy in social media. Structural-interpretive modeling method and MicMac software were used to determine the relationships between the components. Research findings indicate that strengthening the infrastructure and formulating the perspectives of science journalism affects the education and promotion of science journalism and leads to the empowerment of this field. Through empowerment, it is possible to produce content tailored to the general needs and increase the oversight role and demand of science journalists, and consequently, the oversight of social media. Social media can also enhance communication and trust between the scientific community and the public, and increase academics' participation and engagement with science journalists. These factors ultimately lead to the policy journalism of science on social media.

The purpose of the current research is to design the behavioral bias pattern of investors with theme analysis and fuzzy interpretative-Delphi structural approach.

This research is one of the mixed researches with qualitative and quantitative approach that was carried out in the period of 2020-2021. The statistical population of the research consists of managers and experts in the field of capital market and academic experts, and 16 of them were selected as sample members using the principle of theoretical adequacy and the snowball sampling method. In the qualitative part of the research, the method of theme analysis was used to identify the influencing factors on behavioral bias and to collect data, a semi-structured (in-depth) interview was used. Also, in the quantitative section, a questionnaire was used to collect information, and interpretive structural analysis and MICMAC analysis were used to determine the most effective components.

The findings in the qualitative part using thematic analysis showed that the factors affecting the behavior biases of investors in Iran is consist of personality traits, perceptual and behavioral traps, customer journey map, emergence of collective mind, revelatory behavior theory, perspective theory, market theory and cognitive alignment.

Originality / Value: 

The results of the research include the identification and prioritization of the most important factors influencing the behavior of investors, and finally, 8 main components and 33 determining themes were identified according to experts, which can be used to clarify the investors decisions, better analyze and improve the capital market efficiency.

Currently, Iran is facing a devaluation of the currency, and irrational behaviors regarding the purchase of currency have created many problems for the country. The present study was conducted to investigate the behavior of buyers and sellers of foreign exchange with an interpretive structural approach. The statistical population of this study consists of 12 senior managers who have lived experience in economic and foreign exchange sector. In the qualitative part of this study, in-depth semi-structured interviews were used to collect information. The obtained data were analyzed in the coding process using continuous comparison method. In this study, first, open, axial and selective coding was performed. In the quantitative part, the method of structural interpretive modeling has been used. The structural-interpretive model of the study was presented at seven levels, with the highest level of components of the seller's ability to accept currency, knowledge-based companies, sanctions, and information costs; In the second level, the buyer's expected profit, the degree of attachment to the place and the emergence of bias, in the third level, currency exchange, the effects of contract structures, reduction of capital control and exchange, in the fourth level, seller costs, arbitrage, in the fifth level, legal and policy restrictions Related to government interventions, at the sixth level, exchange rate fluctuations and at the seventh level, exchange rate flexibility, interactions between the parties, and risk reduction policies were identified. Based on MICMAC analysis, the identified components were classified into affective or outcome, risk, target, regulatory and independent variables.

Brand orientation name indicates the degree of concentration of the marketing strategy and activities of a company on the brand name. This study examines and identifies the effective components on improving brand performance, with emphasis on the role of strategic management of human resources and entrepreneurial orientation in small and medium-sized companies. First of all, the components of research in improving brand performance, strategic management of human resources and entrepreneurial orientation were identified through literature and Semi-structured interviews with 9 marketing experts and university professors who were selected by snowball method. Interviews were coded with three methods of open, axial and selective coding, and finally, 21 components were identified. The Interpretive structural method was used to create a relationship between the components of the research. In the end, the final output of ISM was used as the input of Fuzzy MICMAC analysis to identify the position of research components.  The final reachability matrix results of ISM was made in seven levels, and the main variables were the size of company, open innovation, entrepreneurship and knowledge. Improving brand performance in small and medium companies is an unstable system based on MICMAC analysis.

Political entrepreneurship is the driving force behind creating institutional changes that make it possible to change outdated processes. Political entrepreneurs have played an essential role in the policy-making process to create policy changes, and they can create different economic and social dimensions by presenting political strategies. The consensus of key and politically influential people on the issue of entrepreneurship in the country can accelerate the process of program development and solve process challenges. Therefore, identifying the development strategies of political entrepreneurship and strengthening the presence of these people leads to value creation and economic and social growth. Therefore, this research aims to interpret the structural modeling of political entrepreneurship strategies. Political entrepreneurship strategies were identified through semi-structured interviews with a qualitative content analysis method based on the theoretical saturation technique and purposeful sampling method with 24 entrepreneurship, policy-making, and management professors. The validity and reliability of the interviews were confirmed by the methods of relative content validity and Cohen's kappa index, respectively. Coding interviews using MAXQDA2020 software led to the identification of 11 strategies. In order to level the identified strategies, the opinions of 94 entrepreneurs and senior managers of government organizations were used with the stratified random sampling method and with the help of a questionnaire. The validity and reliability of the questionnaire were confirmed using content validity and the test-post-test method. The strategies identified by the interpretative structural method led to the formation of five levels, where political networking was the most effective and streamlining was the most impressionable factor.

The main wealth of any human resources organization is that they should have dynamic relationships with each other, these relationships will not be created in the organization unless the managers of the organization implement new management styles. Therefore, the purpose of this study was to develop a model for empowering the employees of the Ministry of Sports and Youth through quantum leadership using a structural-interpretive approach. The research was applied and correlational. The statistical population of the study was 890 people, which included all employees of the Ministry of Sports and Youth in 2020. The statistical sample according to J. Morgan table was 269 people. The sampling method was simple random and voluntary. Quantum leadership, empowerment and structural-interpretive questionnaires were used. For data analysis, intelligent statistical software with minimum squares and software package for social sciences were used. Findings showed that quantum leadership and employee empowerment are at a desirable level. Also, the components of trust, sense of effectiveness and competence of empowerment and seven components of quantum leadership in the first level of the model, affect the components of independence and significant sense of empowerment components in the second level. Therefore, it can be said that the stronger the quantum leadership in the Ministry of Sports, the higher the level of empowerment can be expected.

Abstract
Efforts to improve employees and especially managers motivation in public sector is one of the major concerns in public administration researches. These efforts have led to several theories including public choice theory, agency theory, stewardship theory and public service motivation theory that consider some factors that effect on motivation of public sector managers. This paper based on an interpretive structural approach and using two data collection methods including interview and questionnaire, tries to study effective factors on managers' motivation for serving in public sector. In this regard, using judgmental sampling, 16 top managers from one of provinces with semi-structured approach were interviewed and interviews text was coded into 13 general categories as effective antecedents on manager's public service motivation. Then, a questionnaire based on a Likert scale containing these factors was given to sample members. The results were analyzed using interpretive structural modeling technique, and finally determined the correlation and sequence of antecedents. The results showed that religious and belief foundations and society-oriented attitude constitute the basis of creating, maintaining and improving motivation of managers to serve in public sector.
In public administration literature, various theories have been proposed to explain the motivational factors in the public sector (Ritz, Brewer & Neumann, 2016: 415). Some theories such as public choice theory and agency theory do not differentiate between the motivation of individuals in the public and private sectors and the maintenance and fulfillment of individual interests is the most important motive of individuals for hiring in public organizations, especially in administrative positions (Alvani, 1997: 7). Other theories consider motivation in public and private organizations different (Perry, Hondeghem & Wise, 2010: 682; Homberg, Tabvuma & Heine, 2014: 2; Kim & Kim, 2016: 183).
Perry and Wise (1990) developed the first conceptual definition, and typology of the motivations for public service such as rational, normative and emotional motives (Kim & Vandenabeele, 2010: 703). While, the values associated with the public service motivation are different even in local and regional realms and this causes the factors that cause or strengthen public service motivation are not identical (Vandenabeele et al., 2004: 2). In this research, it has been tried to obtain experts opinions with Interpretive Structural Modeling approach (ISM), to identify and communicate among the effective antecedents on motivation of managers to serve in the public sector.
Case Study
The present study is based on the interpretive structural modeling approach and expert opinions have been developed to identify and communicate among the effective antecedents on the motivation of service in public sector through Delphi technique. Two methods of interview and questionnaire were used to collect data in this research. In the interview section, 16 managers from general offices of one of the country's provinces, who had been in management position in the last five years and had been employed more than 10 years in the public sector, was interviewed.
A protocol was signed before the interview was conducted to ensure ethical considerations. Interviews have been done in semi-structured form and with this question that "what is your most important motive for working in the public sector and this position?". The time of each interview based on participant willingness was from 30 to 60 minutes. All interviews were recorded and scrutinized for several times to extract key points, and for coding.
After studying of 11 interviews, 122 concepts and 13 categories were been emerged. The results of coding the interviews showed repeated concepts and categories. In stage of using questionnaire, a questionnaire was been formulated based on a Likert scale containing antecedents of service motive in the public sector was been drawn from interviews with experts. After coding the interviews, the categories that extracted in the coding process, were exposed to experts' comment in the form of semi-closed questionnaire.
Discussion and As result, the 13 variables are divided into four categories. a) Autonomous variables: including the variables having weak driving and dependence power that are relatively dependent on the system due to poor communication with the system. The political stimulus variables (8), the reduction of bureaucracy (9), and system support from the manager (10) are included in this category. b) Dependent variables: including the variables with low driving power and high dependence power. Client satisfaction (2), low attention to individual economic interests (4), organizational empathy (4), service motivation (6), social position (7), and employee competencies (12) are included in this category. c) Linkage variables: non-static variables that have high driving power and high dependence power that affect any type of change in the system. In this study, none of the factors have been identified in this category. d) Independent variables: including the basic variables in the model that have high driving power and low dependence power. Community-based attitude (1), religious and belief bases (3), individual competencies (11) and meritocracy (13) are in this category. This category acts as the cornerstone of the model and has to be emphasized in the first place to start the model function.
The results of this study indicate that two factors including religious and belief bases and community-oriented attitude are the main motives of managers for serving in the public sector. This means that in order to create, sustain and improve the motivation of managers to serve in the public sector, it must be started from strengthening and reinforcing of managers' faith and belief bases that itself is reinforcing their community-oriented attitude. There are many religious bases in Islam which are encouraging people to serve more and more for public interest. As strengthening of these religious bases, the attitudes of individuals, especially managers, move from individualism and self towards collectivism and society-orientation. As a result of strengthening these two factors, managers emphasize on meritocracy. This climate provides context for actions such as reducing red-tape bureaucracy, different support from managers and employees, increasing organizational empathy, improving staff competencies, improving clients' satisfaction, and these interactions can promote the motivation of managers to serve more in the organization. Therefore, it seems to be a comprehensive planning to improve the motivation of managers in the public sector so that all factors move in harmony with the common purpose.

The purpose of this study is to provide a strategic model of human resources with an interpretive structure approach in the Petrochemical Research and Technology Company in order to increase productivity and reduce costs. The present research has been descriptive, survey and applied in terms of purpose. By reviewing the research literature, eight factors were identified and then an interpretive structural model based on research factors and roadmap was presented. Accordingly, recruitment, learning, maintenance, initiative, benefits, training, capability and self-management are at different levels. Then the model was reviewed and confirmed through qualitative validation. Finally, some suggestions were made to strengthen this strategy. The results showed that in the organization, the knowledge of employees is the most important input of the organization and the strategic view and comprehensive planning in the field of human resources in accordance with the organization's macro strategies can maintain and improve the organization's position in the market.

Eligibility for promotion is a strategic concept in the development of today's organizations, because it signifies and highlights the existence of valuable human capital, and at the same time, causes the organization’s competitive advantage. Accordingly, the present study is conducted with the aim of designing a promotability model for managers, who are considered to be one of the most valuable and strategic group of human capital in state-owned organizations.

As a mixed research, it was both qualitative and quantitative. In the qualitative part, the statistical population consisted of university professors in the fields of human resource management, organizational behavior management and strategic management, as well as expert managers of governmental organizations. Using the snowball sampling method and based on the principle of theoretical saturation, 16 subjects were selected. The required data in this section were collected by applying semi structured interviews. Interpretive structural method was used for the modeling of managers’ promotion criteria. In this section, the statistical population consisted of managers and experts of governmental organizations in Khoramabad, 24 of whom were selected as a sample through targeted sampling method. Data required for modeling were collected by pairwise comparison questionnaires.

The research findings include indicators and components of a model for managers’ promotion. Thus, the model contains 14 indicators which fall into 4 levels. 

 In addition to reducing the theoretical gap in the field under study, this study has provided a significant contribution and context for other researches to follow and develop it. Also, due to the lack of any similar study in the field, the results of this study, in addition to reducing the existing disagreement regarding promotion indicators, can be an appropriate device to develop strategies focusing on managers in governmental organizations.

Traffic Police provides a lot of services to citizens, however, despite many advances in various fields, there is still no comprehensive model for measuring the quality of services of this specialized police. The present study aims to analyze the factors affecting the quality of traffic police services with the ISM approach.

In this study, interpretive structural modeling was used. Data were collected from experts who were selected through purposive sampling. After identifying the factors influencing the quality of Traffic police services, it was approved by experts.

The results of interpretive structural modeling showed that among the 11 factors extracted, coherent inter-sectoral relationship, modest behavior during authority, empowerment, application of new technologies in service delivery, transparency in work processes were highly guided and dependent. This means that any change in them affects the whole system.

An appropriate model for the quality of road services with eleven dimensions including application of new technologies in service delivery, soft and hard police empowerment, coherent inter-departmental communication in the police force, speed in service delivery, accuracy in service delivery, modest behavior while authority, Competence and skills of employees, transparency in work processes, reliability, ease of service delivery and work environment conditions.

This study was conducted with the aim of designing a model of organizational architecture in the higher education system. The present study is based on mixed research and quantitatively and qualitatively in the deductive-inductive paradigm, which is applied in terms of purpose and in terms of nature and method. The statistical population of the study, both in the qualitative and in the quantitative part, includes experts consisting of senior managers of the country's education system who use purposive sampling method and based on the principle of theoretical adequacy, 30 of them are selected as sample members Took. The data collection tool is a semi-structured interview in the qualitative part of the interview, the validity and reliability of which were confirmed by content validity and internal and external coder reliability, respectively. On the other hand, in a small part of the questionnaire was used to collect data, the validity and reliability of which was assessed using content validity and retest. In the qualitative part of data research using Atlas software. The coding approach was analyzed and the indicators and components of organizational architecture in the higher education system were obtained. Finally, in the quantitative part, the final research model should be developed using a structural-interpretive approach. Findings show that the proposed model includes the identification of 22 organizational architecture indicators in the higher education system, which has been developed in five levels and in the form of the final model.

The aim of this study was to design the model of Hubristic leadership style using an interpretive structural approach. This research is based on mixed research and qualitatively and quantitatively in the deductive-inductive paradigm, which is applied in terms of purpose and descriptive in terms of nature and method. In the qualitative part, the statistical population of the research consists of 30 senior and middle managers of government organizations in Khorramabad city who have been selected based on purposive sampling method. In addition, the statistical population of the research in the quantitative part are the top and middle managers of government organizations whose opinions were evaluated using the structural-interpretive modeling approach. In the qualitative part of the research, the data collection tool is a semi-structured interview whose validity and reliability were tested using CVR coefficient and Kappa-Cohen test. The data collection tool in the quantitative part is a questionnaire whose validity and reliability were assessed using content validity and retest. In the qualitative part, the data obtained from the interview were analyzed using Atlas.ti software and coding method. Also, in the quantitative part of the research, the final research model has been developed and presented using Matlab software and interpretive structural modeling method. The results of the research include the indicators and components of the Hubristic leadership style and present the model of the Hubristic leadership style in government organizations. Thus, the research findings include the identification of sixteen indicators of Hubristic leadership style at four levels (levels one, two, three and four) and are described in the final model

The present study aims to design proactive career behaviors model in oil industry using ISM approach.

This research is based on quantitative and qualitative cross-sectional research that is applied in terms of purpose and descriptive survey in terms of nature.The statistical population of the present study consists of Oil Contracting Companies of Iran of which 30 experts have been selected based on the principle of theoretical adequacy and using a targeted sampling method. The information gathering tool in the qualitative research section is semi-structured interview and in the quantitative section the questionnaire is also used. In the qualitative section, the data and information obtained from the interview were analyzed using Atlas-Ti software and the coding method and components and indicators of Proactive Career Behaviors were identified. Also in the quantitative part of the research, the final model of research has been developed and presented using Matlab software and interpretive structural modeling technique.

The research findings include indicators and components of Proactive Career Behaviors in oil contracting companies. Also, the research results included twenty-two indicators in five levels and described in the final model. Review of the literature and research background shows that there is no research that has attempted to present a model of proactive career behaviors and the present study has responded to this research gap by presenting a model of proactive career behaviors in the oil industry.

Applying proactive career behaviors enables employees to fully consciously and intelligently predict the needs and wants of the future labor market and increase their capabilities and abilities to make the best use of opportunities.

The aim of the present study was to identify effective solutions to exit from the financial helplessness of sports delegations of Khorasan Razavi province. The present study is a qualitative research with an analytical nature and is a type of applied research that was performed by interpretive structural method. The data collection tools were research, documentary studies, interviews and Delphi Questionnaire. The statistical population of the study included experts in this field, of which 25 people were selected as the target in each part of the study as a sample. An interpretive structural model (ISM) was also used to analyze the data. Finally, 33 indicators affecting the financial helplessness of Khorasan Razavi sports delegations were identified and in 5 dimensions of management solutions, economic activities, legal solutions, marketing activities and educational and executive activities were placed in 3 levels is identified That The legal solution was identified as the third level of the model. As a result, in order to get out of financial helplessness, sports delegations must pay special attention to the legal solution to provide the ground for the emergence and realization of other factors at the top levels of the model, Also, paying attention and focusing on the leveled solutions in the present study can be an effective move in solving the financial problems of sports delegations.