جستجوی مقالات مرتبط با کلیدواژه « structural-interpretive modeling » در نشریات گروه « مدیریت »

One of the negative phenomena of organizational behavior is the marginalization of employees in the context of organizational life. This phenomenon, as an example of the unfavorable side of the organizations, has many negative consequences on the dependent variables of organizational behavior and ultimately the productivity and performance of the organization. Managing and controlling this phenomenon in the organization depends on understanding the process of employee’s marginalization. The purpose of this research is to help to understand this phenomenon better and more by identifying the process model of employee’s marginalization in the organization. In this research, conducted with structural-interpretive modeling and in one of the public organization at oil industry, a process model of this phenomenon was designed using the narratives and stories of people who have experienced the mentioned phenomenon in this organization. The participants of this research were 15 employees who were selected by the purposeful sampling method and their narratives and lived experiences about marginalization were identified and presented in the form of a marginalization model. Based on the results of the antecedents of marginalization and using structural-interpretive modeling, a process model of employee marginalization and its different levels was presented. The model indicates that neglecting the nature of the job, the presence of authoritarian managers, politicization of the organization, anti-elitism, and so on ultimately lead to the marginalization of the employees of the organization.

Over time and due to the uncertainty and changes in the international operating environment, many managers of international companies make mistakes in decision-making and strategy formulation, and implementation and get into strategic deadlocks or impasses. In such a situation, the decisions or strategies developed by managers are considered ineffective, which is called strategic regret. Therefore, the current research was conducted to understand the phenomenon of strategic regret at the strategic levels of international companies. This research is based on mixed qualitative and quantitative research in the inductive comparative paradigm, which is practical in terms of purpose and practical in terms of the type of survey, and descriptive method. The statistical population of the study is the experts. Using the snowball method and based on the principle of theoretical adequacy, 30 of them were taken as the study sample. The data collection instrument in the qualitative part of the survey is a semi-structured interview, the validity and reliability of which was confirmed by the content and intra-coder reliability method. The data collection instrument in the quantitative part is the questionnaire, which was completed by 30 experts and its validity and reliability were measured by the method of content validity and retest reliability.The research findings include the identification of the components that form and cause strategic regret in international business strategies and their consequences in the form of a model of strategic regret formation.

Trying to improve and effectively and efficiently use various resources such as labor, capital and information is the goal of all managers. The purpose of this article is to investigate the impact of individual, environmental, organizational and cultural factors on improving the productivity of human resources in state banks. The current research is based on the purpose of an applied research and based on the quantitative approach and the nature of the descriptive research of the survey type. The data collection method is library and field type. The sampling method of this research is classified randomly. The tool for collecting information in this research is a questionnaire made by the researcher, which is taken from the theoretical research literature. The validity of the researcher-made questionnaire was also examined through face validity, content and construct validity, and its reliability, with composite reliability and Cronbach's alpha coefficient, which was confirmed by the alpha coefficient above 0.7. The statistical population of the current research includes 300 managers and vice presidents of state banks in Mazandaran province, of which 169 people were selected as a sample according to the Karjesi Morgan table. To analyze the data, the structural equation model test was used with the help of PLS software. The obtained results show that individual, cultural, organizational and environmental factors influence the improvement of human resources productivity with path coefficients of 0.233, 0.260, 0.391 and 0.960, respectively.

Evaluation of service quality is one of the main concerns of government and non-government service providers. With the advancement of mobile technologies and the provision of government services to citizens in the framework of mobile government, the evaluation of the quality of this type of service has already received the attention of governments and researchers in the field of mobile government service quality. In this research, thematic analysis method and interpretive structural modeling (ISM) technique have been used. By analyzing the theme of the identified factors and themes and using the interpretive structural modeling method, the factors have been identified and classified among these factors.The method of theme analysis and interpretive structural modeling is based on the opinion of experts. The experts in this research consist of 14 expert professors, researchers and executives in the field of mobile government. The results of the research show that evaluating the quality of mobile government services at the first level, satisfying citizens at the second level, educating citizens and building trust in mobile government services at the third level, designing aapplication at the fourth level, data security and the culture of mobile government services at the fifth level, organizational policy, Web3 capabilities, and software and hardware infrastructure are at level six.

The aim of this research is to conceptualize and validate "professional ethics" among social media influencers. This study is positioned in the exploratory phase of the interpretive model paradigm and the confirmatory phase of the positivist model, and it is practical in terms of its objective.

The research approach is mixed-Method and the strategy used in that analysis is thematic. In the qualitative part, using semi-structured and in-depth qualitative interviews with 14 scientific and executive experts and its analysis in MAXQDA software, the indicators and components of professional ethics of influential people were identified. Then, in the quantitative section, the relevant model was tested using the interpretive structural approach (ISM) and the relationships between themes were analyzed using MICMAC analysis

Based on the results obtained from the research, 8 components and 39 indicators were identified and validated for this purpose.

Since the factors determined as outputs in the final iterations will have a greater impact from an ISM perspective, the components "c4: professional commitment" and "c8: respect for global values, beliefs, and convictions" will have a more significant influence.

The aim of the current research is to identify, stratify and analyze the main dimensions and indicators affecting the dynamic capabilities of information technology in small and medium-sized companies using the structural-interpretive modeling (ISM) technique. The dimensions and indicators of the dynamic capabilities of information technology have been identified based on the literature study and content analysis and comparisons of related researches and interviews with experts and specialists, and then, using structural-interpretive modeling, the relationships between the dimensions and indicators of the dynamic capabilities of information technology have been determined as Integrated analysis. Finally, by using MICMAC analysis, the types of variables have been determined according to their influence and effectiveness on other variables. The results show that the variable of digitalization of business processes is among the linked variables and has a high power of influence and dependence. This variable with the greatest influence is considered as the driver and motivator of the dynamic capabilities of information technology in small and medium-sized companies, and any action on this variable causes the change of other variables. Also, measurement variables, resources and competencies and coordination are among the key variables for the development of dynamic capabilities of information technology in small and medium companies. These variables have a great impact on the realization and promotion of dynamic capabilities of information technology in small and medium-sized companies and have high influence and low dependence.

In the management literature, understanding the predictors of innovation performance has become an important and ongoing research effort. Despite the efforts made in recent years, the research results do not have the necessary convergence. Therefore, it is necessary to provide models based on special contexts for different types of knowledge-based companies in different geographical regions of the country. According to the qualitative method of the current research based on the techniques of the theme network and structural-interpretive modeling, the number of samples of the theme analysis section based on the number of people interviewed is equal to 16 CEOs and members of the board of directors of knowledge companies. They are type 2 production bases. Qualitative data with conventional content analysis method and through the systematic process of coding analysis and analysis in the form of 53 basic themes and 7 organizing themes including; Financing, commercialization (strategy, resources and capabilities), networking, government, intellectual capital (team building and creative thinking), knowledge management, technology and marketing, and the cultural background of society and the overall theme of category innovation performance. They were tied. Finally, based on the structural-interpretive modeling method, the identified organizing themes were placed in 5 levels. The findings of the research are in harmony with researches that in recent years have placed special emphasis on the innovation performance of small and medium-sized knowledge-based companies, as well as in harmony with the attitude of Gupta et al. (2007) The innovation of knowledge-based production companies, affected by the factors present at both levels; company, and the macro environment.

the purpose of this study is to identify the main categories of implementing the general policies of higher education of the country based on leadership employment policies.

The method of the current research was mixed. To collect data, 12 experts who were selected using the snowball method were interviewed and Delphi method was used to validate the presented model. The interviews were analyzed using the qualitative content analysis method, and finally the research model was presented using the structural-interpretive modeling method.

The result obtained consisted of 13 main categories which, based on the influence-dependence diagram of the variables of the Supreme Leader's general employment policies, cultural infrastructure and the macro environment, had high influence and low influence. The variables of implementation of entrepreneurial ecosystem policies, implementation of Islamic ecosystem policies and realization of the third generation university were the most influential.

The implementation of the policies of higher education and the third generation university has a leading role in improving business, creating wealth, increasing the level of welfare and employment, and realizing the employment policies of the Supreme Leader.

One of the important issues that can be seen in most resilience methodologies is the relatively weak integration of resilience criteria in terms of physical infrastructure with social and economic systems. Based on this, the purpose of this article was to present a causal model of improving community resilience with the approach of theme analysis and structural-interpretive modeling in Tabriz metropolis. This research is applied-developmental from the point of view of the goal and it is considered to be exploratory from the point of view of the method of doing the work. The statistical population of this research is divided into two groups, including the group of experts and all the citizens of Tabriz city. Based on theoretical saturation, 12 experts have been used. Also, due to the unlimited statistical population of citizens, the number of samples has been determined based on the unlimited population of 384 people. To collect data, two questionnaires were used, which were distributed among the members of the statistical sample of the research after determining the validity and reliability. In order to analyze the data, theme analysis, confirmatory factor analysis and structural-interpretive modeling were used. The findings of the research in the theme analysis section show that the components of the causal model of improving community resilience in Tabriz metropolis are classified into eight main themes and thirty-three sub-themes. Also, the model fit values ​​of the confirmatory models and their factor loadings indicate the appropriateness of sub-themes classification based on the main themes and the confirmation of the main themes based on the sample data. The results of structural-interpretive modeling also show that economic factors are the most influential component of the model of resilience promotion and learning capacity, the most influential component of the model of resilience promotion in Tabriz metropolis.

adventure tourism is the fastest growing tourism sector in the world and It is considered as one of the most important tools for sustainable development in countries and tourism destinations. Therefore, the Marnjab Desert in Iran, as a privileged region, has the potential to become an example center for sustainable development of adventure tourism. Research shows that affect numerous factors on realization of this important. This study aims to provide a model for the development of creative and sustainable adventure tourism in the Marnjab Desert. In terms of method, Research is mixed and applied research that data analysis has been done through two methods of Meta-Synthesis and Structural-Interpretive Modeling in two stages. first step: were identified the factors affecting the development of adventure tourism with systematic reviewed and 18 variables in 10 indicators and four dimensions of economic, political, cultural, social and environmental sustainability were selected and approved by researchers. second step: the initial codes were extracted and located in the structural-interpretive modeling questionnaire in order to Be leveled the relation between them with the help of tourism experts and managers of Kashan, Aran and Bidgol and adventure tourism activists present as a model in the desert. The results of the present study indicate that tourist satisfaction and loyalty of the indigenous community will be achieved when first there is clear and comprehensive policy and planning and then the private sector provide by investing in the environment the conditions for other effective factors, especially biological and social resource management

The aim of this study is to identify the factors and provide a pattern that can lead to successful investment in small and medium industries and show a way for industrial entrepreneurs to enter this important economic field with more awareness. This research is a qualitative research based on interviews with 15 industrial experts in the public and private sectors. After conducting interviews and initial coding using content analysis, out of 215 initial codes, 5 main categories of specific research Using the structural-interpretive modeling (ISM) approach, these categories were classified at different levels and the relationships between them were revealed. The results showed that 5 general groups of factors including: managerial factors, entrepreneur-related factors, production-related factors, market factors and environmental factors are involved in the success of small and medium industries, which according to the entrepreneur-related factors research model in the lowest Surface is in fact the cornerstone of the model and environmental factors play an intermediate role between the three levels of the model. This research will help small and medium industry managers to think of better measures to reduce investment risk and pave the way for growth. Industrial and increase employment in the country smoother.

Simultaneous attention to forward and backward supply chains has created a new concept in the supply chain literature as closed-loop supply chains. The purpose of this study is to design a conceptual model of effective strategies on bullwhip effect reduction in the closed loop supply chain. This research is a descriptive survey in terms of applied purpose and in terms of type and method of data collection. The statistical population of the study consists of 75 industrial and academic experts in the field of automobile oil production in the country. Then, by studying the research background, 8 effective strategies on bullwhip effect reduction in the closed-loop supply chain were identified and adjusted by summarizing the opinions of 5 academic experts. The instrument used in this study is a pairwise comparisons questionnaire containing 8 identified strategies. Then, using interpretive structural modeling technique, 8 identified strategies were structured in 5 general levels. The research findings indicate that the strategies of "creating policies for periodic review of inventory control and production planning" and "availability of information on the parameters of recycled products" are at the initial level of the model. Also, the research findings indicate that the strategies of "increasing visibility in the process of product recovery in the supply chain process backwards using the product exchange policy with the customer" and " product delivery time reduction" at the final level of the model.

Growth centers are always considered as one of the sectors contributing to the production leap. University growth centers can use the economic and political recession situation as a launching pad for different provinces by having more contact with future students and researchers. On the other hand, the strategy in each organization and institution as clear paths helps organizations to be able to achieve their goals while advancing within the framework. This roadmap, if finalized, will be able to guarantee the organizational achievement of its strategic goals and plans. The purpose of this study is to investigate the relationship between the strategies of growth centers in the southern coastal provinces, in order to provide appropriate programs through effective communication between the strategies of university growth centers.

In terms of purpose, method and method of data collection, this research is among the applied, descriptive and survey research. In this study, SWOT technique was used to identify the strategies of university growth centers in the southern maritime provinces. Initially, various interviews were conducted with experts to identify strengths, weaknesses, opportunities and threats. Then the current situation of the southern maritime provinces was examined. For this purpose, using the opinions of 13 experts in this field, strengths, weaknesses, opportunities and threats were identified. These experts have been established in the university growth centers of the southern provinces of the country in the provinces of Sistan and Baluchestan, Hormozgan, Bushehr and Khuzestan, which have had executive and presidential experience. In the following, the relationship between strategies is investigated using structural-interpretive modeling technique. Respondents to the pairwise comparison questionnaire to examine how the strategies relate to the same 13 experts in the previous step. In order to analyze the behavior of each of the strategies in the structure of this research, MICMAC technique was used.

The findings of the study indicate the identification of 13 strategies for leapfrogging the production of university growth centers so that it can be used to improve these growth centers and quickly upgrade their capabilities. These strategies include using the capacities of the people and institutional assistance to establish a growth center, using the capacity of young educated people to follow the process, supporting quick-return projects to build trust for funding, and forming themes to support projects. Technological and innovative, facilitating access to the Innovation and Prosperity Fund, utilizing the influence of indigenous people living in major decision-making centers, creating the necessary platform for advertising, employing strong and experienced managers, creating a suitable platform to attract elite youth and prevent exit They have been from the city, increasing the potential forces, creating the necessary platform to receive support, employing creative and creative people, and finally employing small industrial units. These strategies were identified through the SWOT matrix with 8 opportunity points, 5 threat points, 5 weaknesses and 8 strengths. The current situation of university growth centers in the southern provinces of the country shows that these provinces are in the position of conservative strategies. Also, other research results indicate the placement of three strategies: "Support of quick-return projects", "Utilization of public capacities and institutional assistance" and "Employment of small industrial units" from the 13 strategies identified as the basis of the model. Also, the research findings in the Micmac analysis section show the placement of 13 strategies in all dimensions of the matrix. Also, the linking part of the MICMAC matrix has the largest number of strategies, which indicates a high correlation between the strategies developed.

The results of this study can be used by managers of growth centers in the southern maritime provinces as a macro decision-making roadmap to achieve a leap in production, the possibility of employment of educated people in the relevant provinces. Due to the Swat matrix of these provinces in a conservative situation, the best approach is to improve the weaknesses within the organization in order to take advantage of environmental opportunities. The placement of three specific strategies, "Support for High-Efficiency Plans", "Utilization of People's Capacities and Institutional Assistance" and "Employment of Small Industrial Units" at the first level of interpretive structural modeling structure, shows the growing importance of the employment debate through support. High-yield enterprises and institutions are based on knowledge in order to accelerate the production leap in the provinces in question. On the other hand, the results of this research can be used to provide suggestions to other researchers to use the results of this research to prepare a coherent schedule to advance organizational goals. This program can be a special guide for decision makers in this area. 

The purpose of this study is to present a model for improving service productivity in public organizations with a structural-interpretive modeling approach. The research is applied in terms of purpose, descriptive-survey in terms of inference method and qualitative and quantitative in terms of the nature of the data. Data were obtained from questionnaires and semi-structured interviews with 16 experts in the field of productivity at the university and managers of government organizations in Tehran province, using theoretical sampling. Then, in order to design a structural-interpretive model, the ISM method was used. The results show that the model of improving service productivity in public organizations has five levels. Service quality and reliability form the fifth level of the model and act as the cornerstone of the model. In addition, according to Micmac analysis, service quality and reliability were also identified as key variables that have the most impact and the least impact on other factors. According to the designed model and in order to improve service productivity, unorganized and unnecessary activities can be directed towards correct and efficient activities.

Valuing the balance between the perspectives of environmental integrity, economic well-being and social equality has led to the creation of a new paradigm called sustainable human resource management, which is an important concept in the field of organizational and social studies. Accordingly, in order to better understand this concept, the purpose of this study
was to test the effectiveness model of sustainable human resource management incentives. The present study was applied in terms of purpose and based on the method of descriptive work. The statistical population of this research includes two sections of the staff of the Ministry of Culture and Islamic Guidance and experts. Data collection tool was two questionnaires; The first questionnaire was for structural-interpretive modeling method. The second questionnaire was used to validate the model developed in the study population, which was evaluated based on various indicators, their validity and reliability. The results of structural-interpretive modeling show that organizational support and supervision are the basis of sustainable human resource management incentives that have directly and indirectly affected other incentives. Also, the validation results of the developed model indicate the appropriateness of the model in the statistical population.

The purpose of this article is to design a model for monitoring the productivity of Iran's automotive industry. The research population of this research includes 11 managers and strategists of industrial companies in the field of research subject (automotive industry). In this article, an attempt has been made to identify the most effective indicators affecting the productivity of the automotive industry, and by using an interpretive structural approach, the importance of each in comparison with each other is determined and finally a model for continuous monitoring of their productivity is presented. The validity and reliability of the questionnaire were confirmed through content and Holstie validity. To identify the indicators affecting the productivity of the automotive industry and to provide a practical model to achieve the desired level of it, two companies Saipa and Iran Khodro have been studied and as a result, using studies related to the productivity of those companies and using Opinions of experts working in it, sixteen indicators to increase production productivity in five dimensions were identified and reviewed. The relationships between these indicators have been determined based on an interpretive structural model and a new model has been systematically formulated and presented. The result of the article indicates the significant importance of obtaining certificates and standards related to the introduced industry and their periodic monitoring.

According to Bourdieu, symbolic capital is the key to influence hearts and instill legitimacy and acceptance for a manager so that others obey him/her. Accordingly, the purpose of this study was to design a symbolic capital model of leaders in the Iranian cultural organizations through structural-interpretive modeling (ISM). Therefore, 10 factors of the symbolic capital reproduction were collected through documentary and library research and based on the capital conversion approach. Then, by obtaining the opinion of academic experts and cultural managers, these components were confirmed and corrected, and based on the opinion of the managers of the studied organization and through the structural-interpretive modeling, the final model was created at six levels. The results showed that the most important factor for the formation of symbolic capital in the leaders of cultural organizations is their competencies. The next levels included their output and attainment of organizational honors. If these are combined with advertisement and personal branding, they can set the ground for the achievement of tangible and intangible assets, creation of social capital (trust, support), and attainment of reputation as the products of symbolic capital for the leader. Finally, based on MICMAC analysis, the components of the model were located in the quadratic matrix in terms of penetration and dependence.

With the development of Web 2.0 technologies and social media tools in organizations, the way of the organizationchr(chr('39')39chr('39'))s information systems operation has improved to gain competitive intelligence. The best sources of information in organizations is user generated content about the company, product and competitors that are shared on social media and companies can take advantage of the hidden knowledge pattern in this information by using analytical technique in big data. To this end, important goals of this study are providing social market intelligence framework based on web 2.0 Using Text-Mining on Social Media and also comparing web 2.0 social market intelligence status between Emersun and Samsung brands through competitive analysis. The method of this study is qualitative and the way of data gathering is done through literature review, interview with experts and also using text mining among 3860 customer textual data. The findings of the literature review and interviews led to the presentation of 4 dimensions of the web 0.2 based social market intelligence framework. The clustering technique was used to extract the indicators and sub-indicatores in each of the dimensions, all of which were confirmed by the experts. In order to compare the web 2.0 based social market intelligence status of brands, Emotional analysis of words was used, and the results show that the Samsung brand has attracted positive reviews from customers in most of the indicators. Finally, due to the existence of hidden relationships in the main indicators, structural-interpretive method was used to determine the relationships between them.

With changes in audience behavior, the growth of information and communication technologies, globalization as well as the removal of business market constraints, creative industries and media organizations need to adapt more quickly to these changes, and effort to compatibility leads to more business dynamics. In this regard, relying on organizational assets and capitals ensures success. One of the key assets of the creative industry is the competencies of leaders. The purpose of this study is to design a competency model for creative industry leaders. This model is used to select and hire leaders, develop and train them, identify the talents of creative industries, promote and appoint them.

In this paper, both qualitative and quantitative approaches in two main steps were used. In the first step, the main competencies of creative industries leaders identified and in the second step, the conceptual model od competencies developed.

To identify competencies, Systematic Literature Review (SLR) has been used and 50 competencies have been identified. Then, through Discrete Consensus Support Method (DCSM), these competencies are filtered, reduced and reached to 40 cases. Finally, through the Structural Interpretive Modeling (ISM), the conceptual model of 16 competencies has been developed. In four levels: basic, behavioral, technical and excellence.

According to the final model of competency, creative industry leaders should have four clusters of competencies: basic, behavioral, technical and excellence.

Human has always been looking for an ideal economic system. The experiences of the  two past centuries well reveal that neither capitalism as the symbol of private capital and ownership nor socialism that considers private ownership as the root cause of social disorders, have proved success in social and economic justice or equality. As a result, the initial ideas for formation of cooperative was promoted to get rid of the existing unjust capital system. Since cooperative economic system bears by itself the notion of collective participation and group economic activity, it is imperative to analyze the factors involved in the cooperative economy. Accordingly, the aim of the present research is to determine the factors that affect cooperative economy and thus provide a model to show how these factors interrelate. To do this, an exploratory mixed research design was employed. In qualitative part, using meta-synthesis purposive method, 37 initial codes were identified. In quantitative part, the identified indices were fuzzified. Using fuzzy Delphi technique and structural- interpretive modeling analysis, the identified interrelationships were then analyzed on an integrated basis. For modeling, a researcher-made questionnaire was administered to extract the ideas of the concerned experts through purposive snowball sampling until the theoretical saturation point. The research findings resulted in a six-level grouping of the factors that affect cooperatives economy. The model was interpreted and analyzed to deal with the identified levels and their interrelationships. Finally, some solutions were provided for sustainability of the factors that affect cooperatives economy.