جستجوی مقالات مرتبط با کلیدواژه « Interpretive Structural Modeling (ISM) » در نشریات گروه « علوم انسانی »

An efficient financial system leads to the aggregation and optimal allocation of resources in the economy. In advanced financial markets such as the United States, the economy is mainly financed through debt securities and stocks. This is despite the fact that in Iran, a small part of financing is done through debt securities and shares, and most of it is done through the banking system. The purpose of this study is to analyze the financing system of the country with an emphasis on the debt market. To achieve the above goal, a combined quantitative and qualitative method was used. At first, using the qualitative method of semi-structured interviews with selected experts, the factors of the lack of development of the debt market in the country were identified, and then the relationships between the factors were identified through the ISM method, and the identified factors were classified using MICMAC analysis. In this research, 24 factors were identified as obstacles to the development of the debt market, the highest-level factors were interest rate control by supervisory institutions, the existence of the government as an active member in the debt market, and international sanctions of the country.

Strategic control of businesses when they’re facing rapid and profound changes, is one of the most important concerns of managers. The purpose of this paper is to provide a comprehensive model for the strategic control of wire & cable businesses in Iran. The wire & cable industry have a wide range of applications, high demand, and a growing market, and also the increasing desire for electrification and digitalization will provide a basis for its further growth in the coming years. In order to present the mentioned model, the research was conducted in two stages using a mixed method. In qualitative phase, by performing a thematic analysis on 8 semi-structured interviews and 6 video/text web interviews that were conducted with wire &cable industry experts, then classifying them based on 4 perspectives of BSC method in MAXQDA software. In the quantitative phase, the ISM approach was used to test the model, and finally MICMAC analysis was used to examine the relationships between themes. Findings showed that the wire & cable industry has fifteen control concepts that are classified at different levels as described in the final model; In the first phase, the concepts of interactive control, employee control, strategic issues control and performance evaluation are placed, in the second phase, the concepts of value chain control, quality control and customer attraction control, in the third phase, R&D&I processes control, political relationships control and sales assumptions control, in the fourth phase, the concepts of customer satisfaction control and market development control, and finally, in the fifth phase, the concepts of accounting control, organization capabilities control and profitability scenarios control are placed.

Organizational culture is one of the most fundamental areas of change and transformation in the organization and has a special place in the topics related to knowledge management and organizational behavior.  Knowledge sharing has also been proposed as a vital element for organizations to expand integrated services, resource sharing, efforts to promote organizational learning, creativity, and innovation (Aristopour et al., 2021(. Weak organizational culture is one of the ineffective factors of any organization. Today, the knowledge of human forces is considered the most valuable and important capital and asset of companies and organizations. Knowledge is one of the most important competitive advantages in the organization in the field of competition, and improving the productivity and performance of the organization through the effective use of human power is an important issue and concern in organizations (Shams et al., 2022). Today, knowledge is the most valuable and important asset and competitive advantage of organizations. Organizational culture based on knowledge is one of the important and main components of behavioral knowledge in organizations and has been the focus of organizational and behavioral thinkers in recent years. One of the requirements of knowledge management is designing a model and formulating an organizational culture based on knowledge, which is addressed in this research. Therefore, the current research aims to design an interpretative structural model of knowledge-based organizational culture to create a platform for the effective implementation of knowledge management in a fuzzy environment.

Design/Methodology/Approach: 

The current research is based on the paradigm of positivism and is applied in terms of the type and purpose of the research. In terms of the data collection method, it is descriptive-analytical. The process of carrying out this research includes two main stages: Jager's fuzzy approach and structural-interpretive modeling. The statistical population of this research includes university experts from whom seven samples were selected. In the current research, first, the important elements in the knowledge-based organizational culture were identified with a fuzzy approach, and then the type of relationships was identified by experts using the interpretive structural modeling method.

Based on data analysis and with regard to , the seven elements were determined. The ISM model includes three levels. At the lowest level, i.e. the third level, strengthening of communication and interactions, designing of participation processes, and strengthening of group workspace are recognized as the influential elements of the model, and at the highest level, everyone's accountability is the most dependent element of the model; Because according to the diagram of penetration power and degree of dependence, the higher the elements are, the lower their stimulating power and the greater the degree of dependence. The insight that this model gives to managers and decision-makers can help them strengthen organizational culture to improve organizational knowledge. Also, this model helps them to have a comprehensive view of the complex relationships between the influencing factors in the field of knowledge-based organizational culture and to identify priorities and have a proper direction in their policies.

According to the results, it is suggested to revise and implement a new process in the design process of organizational culture, especially in knowledge-based organizations. Also, for future research, it is suggested to localize the designed organizational culture model in different organizations and institutions according to the specific conditions of each institution. The dimensions and elements of the model can also be of interest to researchers and they can be investigated, developed, and compared with the model elements of this research.

Environmental uncertainty and intense competition in global markets have made petrochemical companies and complexes face many challenges and strategic risks. Strategic risks are risks that can unbalance the strategic system and have a significant negative impact on the industry. The purpose of this research was to design a model for identifying and prioritizing financial strategic risks, which prevented realization of strategic goals and affected all components and dimensions of the petrochemical industry. For this purpose, the primary data were first collected through semi-structured interviews with 14 experts and synthesis of previous studies. Then, using thematic analysis, the data were classified into the 3 layers of basic, organizing, and inclusive themes. Using the themes of the organizer, which were risk of financial sanctions, risk of effective financial decisions of the government, credit risk, liquidity risk, financial risk of the production area, macroeconomic risk, insurance risk and risk coverage, and product market risk and competition, a structural-interpretive modeling questionnaire was designed for high (strategic) management risks and the relationships between the risks were evaluated and investigated by asking the opinions of 15 experts from the petrochemical industry. In the end, the risk of financial sanctions as the most influential variable at the most basic level was introduced in the final model that showed the levels of financial strategic risks in the petrochemical industry.

Organizations have always been and are facing various crises. It is ‎impossible to avoid some crises. However, with proper management and the ‎participation of expert forces, and as a result, the formation of a firm ‎social capital in the organization, the consequences of these crises can be ‎reduced and controlled. To effectively manage the crisis, this ‎research aims to design a model for crisis management and control in scientific ‎systems focusing on social capital and explain the place of collaborative ‎management in it.‎ The research paradigm is positivism. In terms of the data collection method, it is ‎descriptive-analytical. Also, it is applied and developmental in terms of type ‎and purpose. In the current research, based on the beginning, the critical ‎elements in crisis management were identified with a fuzzy approach; six ‎elements were determined, and then the model was designed by ‎applying the ISM technique. The statistical population of this research consists ‎of academic experts and experts.‎The research findings include the ISM model in four levels ‎according to one-way or two-way relationships. Network interactions and ‎relationships and a trusting working atmosphere are more effective than other ‎elements of crisis management and control. At the lowest level, collaborative ‎management is placed, and at the highest level, network relationships and ‎the promotion of organizational norms and values are placed. The higher the ‎elements are, the lower their stimulating power and the higher the degree of ‎dependence.‎ Network relationships and the promotion of organizational norms and ‎values are the most dependent elements of the model. Participatory ‎management was recognized as the most influential element of the model ‎Because, according to the graph of influence and degree of dependence, it is the ‎basis of the model and the origin of other elements and affects all the elements ‎of the model. It should be given special attention as a vital element in ‎crisis management and control.‎

The purpose of this research is to provide an Interpretive Structural Modeling of Public Service Motivation in the higher education sector. This research has a developmental purpose and was carried out in two phases. First, by Meta-Synthesis Method and searching, studying, scientific and systematic coding of 86 previous valid articles, the dimensions, components and indicators of the public service motivation model were identified and confirmed by the Delphi method. Validity and reliability were confirmed through Glynn's evaluation tool, formal and content validity and agreement between two coders and Kappa coefficient. In the second phase of the research, from the interpretive structural model and asking the opinions of 12 university experts, leveling and drawing the interactive relationships of the components were done. The findings show that the components of the first level of the model include (dependent variables) behavioral characteristics and social motivations and in the second level (internal structure variables) internal organizational tendencies and material values and in the third level (influences variables) external organizational tendencies and spiritual values. This research, by structural relationships among different levels, can help a very useful to introduce the necessary infrastructure to establish the public service motivation in the faculty members of public universities.

Choice is a new concept in today's world. Most people in developed countries make more choices, both on a daily basis and in relation to their way of life, than they did a hundred years ago. A comparison of the twentieth century with the nineteenth century shows a kind of prosperity achieved through the growing systems of production and distribution, which some interpret as freedom of choice. What is clear about choice is thinking about the criteria for choosing or not choosing, and not only about the concept of how people live but also about the way they think and their identity. Choosing the right food is the first step to having a healthy society. The science of marketing seeks to influence consumer behavior. Consumers’ behavior is strongly influenced by their cultural, social, personal and psychological characteristics. Of course, marketing of the food industry is not possible without considering the criteria for choosing food in the purchasing decision. The food selection criteria in purchasing decisions have been more or less extracted in previous studies, but the relationships between such elements are complex. This complexity varies among consumers with different demographic characteristics. Among consumers in the adolescent age group, however, these differences will face other aspects of purchasing decision criteria. In addition to marketing activities, food industry marketers are concerned about adolescent food health, so are parents and organizations that support healthy nutrition. Therefore, identifying the relationships among the determinants of food choice in adolescents is an important issue that requires proper research. Therefore, the purpose of this study is to find a model to present the relationships between the extracted elements in relation to the criteria for purchasing decision-making in adolescents. Understanding the relationships among these criteria will certainly help marketers, parents, and teen nutrition organizations. Developing a model to determine the input criteria of the purchasing decision-making process in adolescents meets the purpose of the study. The present study is fundamental in terms of orientation and interpretive in terms of research philosophy. Its main strategy is methodological pluralism using two strategies simultaneously. It is based on a qualitative approach and is conducted through combining the two methods of thematic analysis (thematic) and modeling. In the qualitative part, the criteria were extracted by a content analysis, and 20 themes and hidden concepts were extracted from 22 Yazd adolescents in the age group of 10 to 14 years old. The analyses were performed with the 10Nvivo software through structured in-depth interviews. A science was included in the study and 4 components were studied as researcher-made components. In the quantitative part, the opinions of 12 experts, including 6 university professors and 6 managers of restaurants in Yazd were collected regarding the variables. The data were presented by interpretive structural modeling in the form of an applied and abstract model with Excel and Micmac software programs. In this study, 107 primary codes were selected as the sample. Through repeated revisions and the integration of codes based on similarity and relevance through various stages, 14 main themes and 107 sub-themes were extracted for the concept of food choice decision by Iranian adolescents. What follows in the form of 14 categories is the result of a process that began with initial observations and considerations and the identification of indicators. Then, the obtained indicators were categorized and summarized in the form of concepts. Finally, by the integration of the concepts in a more general form, the 14 categories were studied (including, sensory attractions, lifestyle, tendency to modernity in adolescents, religious beliefs, hope for the future, hope for the future, communication, health orientation, familiarity, age of puberty, customer loyalty, ethical concerns, marketing mix and hedonic effects). The results showed that, in addition to the identified components, other components were also effective in the statistical population of adolescents. Also, by interpretive structural modeling, a model consisting of these components was presented to expresses the relationships among them. Knowledge of consumer behavior is considered as an important competitive advantage which leads to a significant reduction in wrong decisions. Consumer behavior in marketing may be less considered. Through consumer behavior marketing, instead of focusing on finding the right customers for the products, one can focus on finding the right products for the customers and coordinate all the corresponding activities that affect the customers and increase profits by creating more satisfied customers. In this study, in addition to the components adapted from previous studies, variables such as puberty, eugenicism, nostalgia and hope for the future have been added to the model, and the relationships among these variables and other components are determined.

Business model innovation is a prominent topic in the field of management. The importance of this concept for complex defense product developers is also increasing. This study analyzes the relationships structure of "internal drivers of business model innovation" for developers of complex defense products. After identifying the drivers, with the participation of 12 experts - who were selected through purposive sampling - and using the method of interpretive structural modeling, the framework of relationships "internal drivers of business model innovation" for these organizations, designed. Drivers related to "governance and policies" and "organizational leadership" (at the first level) were identified as the most important drivers in this context, which, affect other drivers by influencing the drivers of "human capital" and "financial resources" (at the second level). At the third level were the drivers related to "Research, Knowledge, Technological and Product Innovations", "Production and Operations", "Supply and CIntroductionThe business model innovation drivers have been introduced as one of the main streams of research in business model innovation. However, not much knowledge has been developed regarding these drivers. The few kinds of research conducted in the field of innovation drivers of business models have mainly investigated the external drivers of business model innovation. Also, the studies conducted in this field often focus on service companies and organizations active in the mass production of consumer products. However, no comprehensive study has been observed in the field of innovation drivers of business models of organizations developing complex products, especially in the defense industry - which has different conditions. The environment of this industry has changed in recent years. The drivers of the strategic environment of the defense industries have made this industry, based on the logic of knowledge-based defense, put a set of transformational programs on its agenda. In order to overcome the challenges caused by the transformations mentioned above, the open innovation strategy has been placed on the agenda of industrial organizations and scientific-research centers affiliated whit the Ministry of Defense. Ignoring the business models of the mentioned organizations will make it challenging to realize the mentioned strategy. Therefore, identifying the drivers of business model innovation and analyzing the structure of relationships between them is essential for organizations, as mentioned earlier. The relevant literature has not yet been clarified for developers of complex products and technology-oriented organizations. Also, there is a gap regarding identifying and comprehensively analyzing business model innovation drivers. The current research aims to comprehensively identify the internal drivers of business model innovation and analyze their relationships with developers of complex defense products.Materials and MethodsThis study is mixed research, and in terms of its purpose, it is applied research. The study data was collected in 1400. The statistical population of the research was experts aware of the opportunities and challenges of developing complex defense products, including senior managers, middle managers, senior experts, and university professors who participated in different stages of the study. For the validity of the research results, qualitative research approaches were used. Using at least three data sources (based on the triangulation approach); long-term involvement of researchers with the research environment; The collaborative nature of the research and receiving the opinions of the participants in the focus groups and reaching a consensus in all stages of the research has achieved the accuracy and scientific validity of the research results. In addition, the validity of the questionnaires was content validity and face validity, and the questionnaires were approved by experts after their design. Also, the parallel method using peer tests was used to check the reliability of the interpretive structural modeling questionnaire. In different steps of the research, in order to collect and analyze the required data, several methods have been used:The first step: the triangulation approach, was used to identify the drivers; In this regard, the following four activities were carried out: The first activity: identifying the drivers by examining the background of the research; In this activity, by reviewing articles published in prestigious international journals, 29 drivers were extracted from 45 selected articles. The second activity: more than ten organizational strategic documents published in the last ten years at the policy level were reviewed. Using the qualitative content analysis method, 41 drivers (having common drivers with the results of the first activity) were identified. The third activity: 8 focus groups were formed with the participation of 81 experts who were purposefully selected, and 41 drivers (having common drivers with the results of the first and second actions) were also included in this activity (using the qualitative content analysis method) was extracted. The fourth activity: the theme analysis method, was used to summarize the results of the three actions and extract the drivers according to the local conditions of the defense industry. Second step: The fuzzy Delphi method was used in two steps to screen and confirm the identified drivers. At this stage, 26 experts were selected purposefully in the policy-making layer of the mentioned industry. Third step: determine the structure of relationships and interactions; the interpretive structural modeling approach was used with the participation of 12 professors and experts at the policy level. Discussion and ResultsIn the identification section: 54 drivers in 8 main business dimensions of organizations developing complex defense products, including: "governance and policies,"; "organizational leadership,"; "human capital,"; "financial and economic resources,"; "knowledge, research, technological and product innovations"; "production and operations"; "supply network and collaborations" and "market and customer" were identified. In the relationship framework design section, Using the interpretative structural modeling method, the relationship framework of intra-organizational drivers of business model innovation for the mentioned organizations was designed in three levels. The drivers related to "governance and policies" and "organizational leadership" at the first level are the most critical drivers in this framework, which by influencing the drivers of "human capital" and "financial and economic resources" at the second level on other drivers in affect the system. In the third level, there are drivers related to "knowledge, research, technological and product innovations," "production and operations," "supply network and collaborations," and "market and customer." With their activation, more value is created for stakeholders.Even though the identified drivers are distributed in all the main dimensions of the business model of the mentioned organizations, the drivers related to the components of "governance and policies," "knowledge, research, technological and product innovations," as well as "supply network and cooperation" are more prominent in the mentioned organizations compared to other service and mass production organizations.Based on the findings of this research, the policymakers of the organizations mentioned above will be able to make strategic decisions more confidently about the issues and challenges of the business model innovation of the respective organizations. A similar study has not been conducted on complex defense product developers. This limitation makes it difficult to compare the results. However, the findings of this study are consistent with studies conducted in small service organizations, mass production organizations, and some large organizations. It should be noted that most previous studies have investigated the effect of a single driver.ConclusionsIn this research, the internal drivers of business model innovation for developers of complex defense products were comprehensively identified, and the structure of relationships between them was designed. The comprehensiveness, variety, and number of drivers identified, as well as the research context (including developers of complex defense products), distinguish this study from previous studies. In this study, while summarizing the results of previous studies, new drivers (25) have been identified that were not mentioned in previous studies. This research showed that the internal drivers of business model innovation for developers of complex defense products with the ISM approach are placed on three levels. In this leveling, drivers related to "governance and policymaking" and "organizational leadership" were at the lowest level. It means that in the business model innovation process of the mentioned organizations, attention to the relevant drivers is a priority. Addressing other drivers will not be very effective without paying attention to the mentioned drivers. A comprehensive awareness of these drivers and the relationships between them helps policymakers adopt more effective policies and decisions in the business model innovation of the mentioned organizations. Conducting more exploratory studies in organizations developing complex products may lead to identifying new drivers.ooperation Network" and "Market and Customer". These drivers affect the "creation of value for stakeholders" by activating Level 1 and 2 drivers.

A review of the research literature shows that a similar structure can not be observed for the models presented in the field of innovation ecosystem in the conducted researches; Therefore, in order to increase innovation in companies, an appropriate model of innovation ecosystem should be designed based on local characteristics and constraints. Therefore, the purpose of this study was to design a conceptual model of innovation ecosystem in small and medium enterprises using ISM-SEM. The method of work was descriptive-causal. The statistical population of this study included two sections of experts and managers of small and medium companies in East Azerbaijan province. In this research, 11 experts participated in the first part and 335 managers of small and medium companies in the second part of the research answered the questionnaires. Two questionnaires were used to collect data, which were distributed among the members of the statistical sample after determining their validity and reliability. For data analysis, interpretive structural modeling (ISM) and structural path modeling (SEM) have been used. The findings of the structural-interpretive modeling section show that the dimensions of the innovation ecosystem in small and medium industries are in five levels, each of which has direct and indirect relations with other levels. Also, the test of the developed model among companies has shown the appropriate validity and reliability of the developed model and the confirmation of direct and indirect relationships between the dimensions of the innovation ecosystem in small and medium enterprises.

The purpose of this study was to design an organizational culture model in the Education Organization, which was conducted in one of the districts of Mashhad. This research is applied in terms of purpose, descriptive-survey in terms of method, and causal in terms of relationships. To determine the sample size, purposeful judgment sampling was performed, based on which 10 experts participated in the research. Initially, by studying the theoretical foundations and expert approval, 14 components were identified for model design. In order to confirm the content validity of these components, the relative content validity coefficient (CVR index) was used. Then, interpretive structural modeling (ISM) was used to design the model. The results showed that the components were at eight levels. "Organizational structure" was identified as the most important and influential component at the last level and the components of "consequentialism" and "loyalty" were identified as the most influential component.

The present research is conducted with the purpose of identifying the key success factors for the recognition of the Islamic University and modeling these factors in order to determine the ideal model of these key factors for the realization of the scientific authority of the Islamic University, with a focus on Imam Sadiq University.

by analyzing the content of the data extracted from the statements and messages of the Supreme Leader, interviewing 11 experts and other library resources, 231 initial themes in 13 organizing themes as key success factors and they were categorized into 3 comprehensive themes and then Component leveling was performed using interpretive structural modeling (ISM) technique based on the opinions of 13 experts.

Finally, a three-level model of key success factors was formed, which was performed on the components to provide further analysis and appropriate strategies to university administrators to analyze the power of influence and the degree of dependence. The components based on the degree of influence and dependence were divided into 4 categories of autonomous, dependent, independent and connected components.

Based on the research results, it is necessary to pay the most attention to the components with the highest penetration, including "Strategic planning", "creating accurate management systems" which are at the most basic level of the model.

Despite the importance of e-banking, not enough research has been done on the service innovation of this sector and its relationship with dynamic capabilities. The purpose of this study is to determine the relationships and effectiveness of the components of e-banking services innovation based on dynamic capabilities. To collect information, in-depth semi-structured interviews were conducted with 25 experts. Sampling was done in a theoretical and purposeful way, so that a set of primary themes was collected during the recoding process. First, 13 sub-indicators for service innovation and 17 sub-indicators for dynamic capabilities were extracted using fuzzy Delphi method and confirmed by confirmatory factor analysis. Indicators of service innovation and dynamic capabilities based on theoretical foundations were classified into 11 main indicators and in the form of a general concept entered into the analysis of interpretive structural modeling / fuzzy MICMAC and presented a new approach to calculate the value of indicators. The results showed that the effectiveness of the index "Sensing user", "New revenue model" and "New concept of service" is better than other indicators and vice versa The effectiveness of the index "New technological service delivery System", "New customer interaction" and "Scaling and Stretching" are weaker than other indicators.

Auditing performance plays an effective role in evaluating efficiency, effectiveness and economic mere. The results of the studies show that performance audit implementation in the country was not desirable and its goals have not been met. In this study, the structural modeling of the strategic factors of performance auditing in the form of strengths, weaknesses, opportunities and threats is presented in the country's accounting Court. This research is applied and the method of conducting a descriptive survey and the time of winter research of 2022. To do it, a couple's scale questionnaire tool is based on structural -interpretive standards. The research sample also has 14 auditors of the country's Accounting Court with sufficient expertise and experience in the performance audit field, which were selected by targeted sampling method. In this study, the relationship between the strategic factors of performance auditing with the structural -interpretive approach was analyzed and its results are presented in the form of models of strengths, weaknesses, opportunities, threats and all strategic factors. The results of the study show the relationship between strengths, weaknesses, opportunities and threats of performance audit in the country's accounting Court in general and partially, which for policies and decisions of the country's accounting courts by resolving performance auditing problems and achieving its goals in the country.

The development of a technology-based entrepreneurship ecosystem in universities leads to great economic changes in society. This paper aims to identify the influencing factors for the design of the technology-based entrepreneurship ecosystem model in the College of Engineering of Tehran University. Based on grounded theory as a qualitative method, 17 interviews were conducted with experts and after coding, 51 sub-categories were obtained in the form of 9 main categories. To validate the components, a questionnaire was distributed among the academics and researchers of the College of Engineering of Tehran University, and it was analyzed by the partial least squares method, and all the components were confirmed. Finally, with the help of the structural-interpretive modeling method, by distributing 23 paired questionnaires among the experts, the components of the model were configured in six levels. The findings showed that the category of "culture" is the most influential factor and the components of "Entrepreneurial ecosystem development infrastructures", "Policy and management of financial resources", "Intensity and level of preparation for design, development and commercialization", "Creation and development of supporting institutions and business development in the region" are the most influential factors in the formation of the technology-based entrepreneurship ecosystem in the university.

Multifunctional agricultural development as a new approach to sustainable development requires a process model that can explain the factors affecting its development in a step-by-step manner. The purpose of this study is to design a process model of MFA development in Dehloran Township (Ilam province) using an interpretive structural modeling approach. The study population was purposefully selected from 10 multifunctional agricultural experts in one of the western regions of Iran, Dehloran Township. Data were collected using in-depth and semi-structured interviewin and content analysis with the help of MAX-QDA software in six steps of ISM technique, MFA development steps, determining the level of factors, internal relationships between each of the effective factors and designing a process model were performed. According to the obtained results, the development of multifunctional agriculture requires the implementation of government support policies, strengthening the infrastructure and improving the economic situation in the first place. In fact, by being in the fourth group of the MICMAC classification, these factors acted as the root and at the lowest level of the ISM model, among which, the factor of government support policies became the basis of the model affecting the implementation of extensible functions in agriculture. Then, by creating economic prosperity, which had a lot of guidance and dependence. The process model can be used as a guide and roadmap for policymakers and managers of agricultural development in order to plan for the development of multifunctional agricultural systems and achieve sustainable development in accordance with regional conditions To be placed.

Proper knowledge management leads to competitive advantage for organizations and ultimately more success and ultimately organizational excellence. The survival of organizations depends on the effective management of knowledge, as. The purpose of this research is to stratify the damages of knowledge management development in universities in the framework of the three dimensional model and interpretive structural approach, so that knowledge management can be developed in the best possible way.

Statistical population of all higher education management specialists, professors and staff experts in There are universities in Kerman province that with purposeful sampling method, 32 people formed the research sample. Research data were also obtained through open and semi-structured interviews among the sample group. The disadvantages of knowledge management were identified in the framework of the three dimensional model, including behavioral, environmental and structural dimensions.  

Accordingly, the main harms of the behavioral harms are: "low risk-taking and lack of commitment of managers and employees to knowledge management", in the dimension of environmental harms, "lack of need and demand for knowledge management by society" and in the dimension of Structural disadvantages "Lack of transparency and facilitation of rules and instructions and ambiguity of mission". The main influential factors in the dimension of behavioral injuries are "low motivation and teamwork and job dissatisfaction of employees", in the dimension of environmental injuries, "combating people's opinions in making changes and isolating experts and scientists". And in the dimension of structural damage, "the ambiguity of missions and strategies in universities and the lack of attention to the necessary planning in the field of implementation".  

so The most important achievement of the research is that in order to remove the damage of knowledge management development, it is necessary to pay attention to the behavioral dimension of "low risk tolerance and lack of commitment of managers and employees towards knowledge management" as the most influential factor.

Considering the importance of transitioning economies from a resource-based economy to a knowledge-based one, and the importance of the role of universities in the development of innovative and entrepreneurial activities, the subject of entrepreneurial university and the strategies necessary for its formation have attracted the attention of many researchers and policy makers in the field of higher education. Meanwhile, the education mission, which has always been one of the universities' main missions, needs transformation and evolution in order to coordinate with the daily needs of the society. In this research, structural-interpretive modeling (ISM) was used to identify effective strategies and express the relationships between them in order to fulfill the mission of education in the entrepreneurial university. First, by systematically studying internal researches and using a focus group, 23 strategies were identified in fulfilling the mission of education in the path of community-oriented and entrepreneurship in universities, and among them, the content validity of 15 strategies was confirmed and introduced as the most effective strategies. After analyzing the data, the strategies were classified into four different levels and the ISM graph was plotted according to the relationships. By examining the relationship between these strategies, it is noteworthy that the achievement of the majority of them affects and is also affected by the realization of others. Therefore, it can be concluded that the policy makers, who have set their goal to achieve community-oriented and entrepreneurship in the university and the transformation of the educational structure, need to avoid a linear view and based on a systematic view, take the necessary measures to realize all the mentioned strategies. Determining the relationships between strategies and the types of strategies can help to better understand the issue and adopt appropriate policies and actions to fulfill the mission of education in entrepreneurial university.