جستجوی مقالات مرتبط با کلیدواژه « ism » در نشریات گروه « مدیریت »

The main concern in the halal food supply chain is its halal integrity. Tracking systems based on emerging technologies are now used in the halal food supply chain to gain consumers' trust. To reduce the challenges of the halal food supply chain, blockchain technology is being used to improve its transparency and greater integrity. In the present research, by reviewing the related literature and experts' opinions, after identifying the challenges, functions, and technical requirements of blockchain in the halal food supply chain, the relationships among these have been determined through Interpretive Structural Modeling (ISM), and a procedure for its application has been provided. The results of this study show that if the decision makers want to apply blockchain technology in the halal food supply chain, they should first select and improve the tools and technical requirements of blockchain as an infrastructure and then, reduce the challenges based on the relationship between them, which can lead to an increase in customer satisfaction.

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

Today, policy makers have started to study the required competency of a system which supports entrepreneurship with high growth. An emerging approach has focused on entrepreneurship ecosystems. Accordingly, the current research aims to determine the causal relationships of the entrepreneurship ecosystem dimensions in order industrial development by using ISM. The research method is descriptive and the sample was gathered by targeted sampling method. Furthermore, 143 ones and 15 experts were selected for confirmed section and Structural-Interpretative Modeling (ISM) section respectively. A questionnaire was used to collect data. Its validity and reliability was confirmed; then it was distributed among the members of the statistical sample. In order to analyze the data, confirmatory factor analysis and Structural-Interpretive Modeling was applied. The results show that accessible markets such as the domestic market and the international market are placed in the first level; moreover, the foundations and basis of entrepreneurship ecosystems such as budget and finance, universities as catalysts, intellectual capital and labor, education and cultural support should be enhanced for gaining access to these markets.

Numerous variables are involved in green supply chain management and investigating any intervening variable can influence a diverse set of others. Blockchain, as an emerging technology of the fourth generation of the industry, comes with a variety of distinctive characteristics. The analysis of the integration between blockchain and green supply chain management will be highly intricate. Therefore, it is essential to establish a model to comprehend it effectively.
This study was carried out in two phases. In the first phase, the required information was collected, extracted, analyzed, and combined through a systematic review with a focus on the key questions. After identifying the primary existing sources, based on the entry conditions, some items were removed according to the determined conditions. Finally, 18 articles were thoroughly reviewed, and the variables were extracted. In the second phase, the validation, refinement, and examination of the relationship among variables were discussed through questionnaires. The combined method of DEMATEL and Interpretive Structural Modeling (ISM) were used.
Variables from the green supply chain, likely to be influenced by blockchain were extracted, refined, and modeled in 10 levels, ranging from the most influential to the least influential ones. Environment-related variables, along with business viability, are the most influential.
According to the achieved model and the degree of influence and impact of the variables, the main driver for moving towards green practices and utilizing blockchain include "the need to obtain environmental certification (government pressure)," "buying green products (inclination)," and "giving importance to the social responsibility of the green company." The outcome also depends on "business continuity" and environmental variables. An important aspect regarding the relationship between blockchain and the green supply chain is the location of the variables influenced by blockchain in the interpretive structural model. These variables were placed in the middle levels of the model, indicating that before implementing blockchain technology, it is crucial to assess the influencing variables and determine their value. The assessment can determine whether the establishment or non-establishment of blockchain technology is justified. If these variables indicate the need for changes in the intermediate variables of the model, blockchain technology can be used as a tool or enabler in the supply chain to drive the desired changes based on the specified influencing variables. Ultimately, as the intermediate variables in the model change, the dependent or influencing variables in the model can also be affected.

An entrepreneurial ecosystem is a self-organized, adaptive, geographically limited community composed of complex agents operating at multiple and cumulative levels whose non-linear interactions lead to patterns of activities through which new ventures emerge. The present research aims to explain the factors that influence the creation of an entrepreneurship ecosystem in less privileged rural areas of Asad Abad in Hamedan province, Iran using the Interpretive Structural Modeling (ISM) technique. Out of the rural entrepreneurship experts and scholars, 15 people were selected purposefully for a semi-structured interview. Based on the content analysis using the ISM technique, the factors underpinning the creation of an entrepreneurship ecosystem in the less privileged areas were determined and leveled. Based on the results, the creation of entrepreneurial ecosystems in less privileged areas requires the availability and implementation of macro-governance factors, individual-behavioral factors, supportive factors, sociocultural factors, financing, human capital, market, and regional capacity. The results reveal that the macro-governance factors are the most important and effective factors in developing entrepreneurial ecosystems in less privileged regions. Financing and regional capacity are the second-most important factors involved in creating an entrepreneurial ecosystem (as a representative of society) in less privileged areas.

In this research, the main purpose is to investigate the Futurism from the Viewpoint of the theological school of Maturidiyya Sunnis and compare it with the Shia school. This research, using the method of content analysis and qualitative meta-analysis, in the first step, by examining the content of the sources related to the schools of thought discussed in the subject of the research, collects, categorizes and summarizes the ideas in each school, and based on the intellectual principles of Maturidiyya, the analysis He has examined the mutuality of principles from the perspective of the Shia school of thought. Based on the intellectual principles of Maturidiyya, which have relevance and impact on Futurism, the type and manner of their impact on Futurism has been explained in a classified manner. And it has been compared with the Shi'ism school in a brief way. According to the studies done and the explanation and analysis of the intellectual principles of Maturidiyya and its mutual analysis with the Shia intellectual principles and the identification of the manner and type of influence of these principles on Futurism in these two schools, the results of these studies have been presented in the Futurism of these two schools. In fact, in short; Since Maturidiyya believe in the intellectual and narrative method as well as intuitive and sensory knowledge in their epistemological foundations, therefore they have the intellectual capacities and knowledge base necessary for Futurism. In the Shi'ism school, building the future by understanding its conditions and with the influence of human will along with attention to divine aid and belief in traditions and divine promises is the main essence of looking to the future.

The purpose of this study was interpretive structural modeling of the factors affecting supply chain optimization in the electricity industry. In this study, using a mixed method, a qualitative-quantitative approach was employed to model and verify the factors affecting supply chain optimization. To this end, through content analysis and thematic analysis using Novo software to form thematic networks, a qualitative model of factors influencing supply chain optimality was designed. In order to formulate a basic pattern of the factors affecting supply chain optimality, 23 experts in the electricity industry were selected through purposeful sampling method. In the quantitative section of the study, interpretive structural modeling (ISM) approach and MICMAC analysis were used. The results showed that the initial framework of supply chain optimality model has six dimensions including supply chain performance, supply chain management, supply chain risk management, supply chain quality management, production and operation, and supply chain stability. In the ISM graph, the variables were categorized at different levels, in which the "agency" and "strategy" factors were the highest and "customer satisfaction" was the lowest factor. After MICMAC analysis, the variables were categorized in three groups of independent variables with 11 variables, with four variables and dependent variables with 10 variables. No variables were included in the PA.

The aim of this study was to identify the factors affecting production growth strategies in Iranian industries. Therefore, at first, the literature on the subject and domestic and foreign research were conducted in depth to extract the basic principles and previous studies on the extraction of key factors during library studies. Then, a questionnaire including 18 indicators affecting production growth strategies was provided to the members of the expert group. 10 experts were asked to rate each indicator on a scale of 1 to 5 Likert. Then the average scores of each index were calculated. If the average index score is less than 3, it will be deleted. The results showed the confirmation of 15 indicators. The ISM interaction network was then identified using the ISM technique. The research model consisted of 5 levels, the fifth level in which the strategy of improving the production planning system (C3) is the most effective level and the level 1 in which there are 5 strategies is the most effective level.At the end, some appropriate implications have been presented.

The aim of this study was to identify the factors affecting production growth strategies in Iranian industries. Therefore, at first, the literature on the subject and domestic and foreign research were conducted in depth to extract the basic principles and previous studies on the extraction of key factors during library studies. Then, a questionnaire including 18 indicators affecting production growth strategies was provided to the members of the expert group. 10 experts were asked to rate each indicator on a scale of 1 to 5 Likert. Then the average scores of each index were calculated. If the average index score is less than 3, it will be deleted. The results showed the confirmation of 15 indicators. The ISM interaction network was then identified using the ISM technique. The research model consisted of 5 levels, the fifth level in which the strategy of improving the production planning system (C3) is the most effective level and the level 1 in which there are 5 strategies is the most effective level.At the end, some appropriate implications have been presented.

Resilience as one of the most important issues in the related to firms performance, in recent years has attracted considerable attention. In this regard, it is essential to identify the potential items that cause the firms to be resilient. By considering the importance of topic, the aim of this study is identifying and achieving a framework of resilience items of firms in detergent industry, as one of the most high financial turnover industry in Iran. Two types of contractual content analysis and ISM are used to analyze the data. Through qualitative content analysis, 21 items that involved in the resilience of firms are identified, and in the ISM section, the items classified into 9 levels. Those categorized into six broad concepts: internal resources and procedures of the firm, human capital, structural position in industry, interactive strategy with environment, Firm process characteristics, decision portfolio.

Although agile software development approaches are more effective, comparing to traditional approaches, the implicit risk management processes in those approaches are not sufficient to address project risks alone, and the use of explicit processes to manage risks is essential. On the other hand, traditional risk management methodologies seem to be in contrast with agile philosophy. This study aims to provide a tailored process model for risk management in agile software development projects. The qualitative study is carried out using the meta-synthesis method, Delphi method, and interpretive structural modeling.  The research is done by coding 28 scientific articles. The initial findings were observed by collecting the opinions of 12 experts. We used the Delphi method and interpretive structural modeling, to determine the interdependencies between the processes. Besides, finding a new "risk facilitator" role, alongside the project team, the study further led to the identification of eight process-steps in form of three process groups: "risk tailoring", "risk commitment" and "post risk", in line with the agile development projects' life cycle.

The purpose of this study was to design a good governance model in multilevel organizations based on the tricyclic model. Therefore, this research seeks to design a model based on the categorization and separation of factors related to good governance model in multilevel organizations based on trilogy model through interpretive-structural analysis (ISM). The research methodology is a combined research based on four questios try to  identifying the factors associated with good governance through theoretical foundations and thematic analysis with the participation of 15 experts as panel members and in the quantitative part through structural modeling matrix followed by structural modeling. In addition, there is an interpretation in this section of 15 senior executives of banks and financial and credit institutions in Khorramabad. The results show that the most important factors related to the explanation of good governance, policy formulation, transparency of rules, decentralized management structure, control capacity building, waste regulation, service quality measurement, market changes, CRM quality, value centering, culture, organizational climate, opportunity equalization, compensation system, facilitation of HRMS, internalization, organizational commitment.

Branding is raised as a new form of connections between the banks and their customers for the purpose of competitive requirement and dominant paradigm in the marketing of banking industry.This concept is very dynamic and despite extensive researches, it has not been adequately examined. The aim of this study is Leveling and Identification of brand constituents in the banking industry which is considered both Developmental from the conclusion point of view and Apllied respecting the goal. This research uses the mixture method in the way that the factors of brand constituents in the banking industry were firstly identified by studying the theoretical foundations and using the Delphi method, then leveling the branding factors through an Interpretive Structural modelling approach. According to the research findings the eleven factors of branding in the banking system are classified in five levels; brand loyalty at first level; brand affect, brand attachment and brand trust in the second level; brand commitment, brand satisfaction, brand personality, brand reputation and the perceived value at the third level, the services quality at the fourth level and brand identity is at the fifth level.

Complex product systems (COPS) play an important role in industry, economics and technology of countries. On the other hand,Due to the complexity and the need for in depth and high level knowledge; organizations face challenges in Manufacturing and developing these products.To succeed in manufacturing of these products, organizations need to recognize the required capabilities.Therefore, the current research was conducted to identify the capabilities and enablers needed to manufacturing complex products And analyzes the causal relationships between these enablers.The other purpose of this study was to determine the importance of these factors for the accurate planning in the organization.For this purpose, with using the library studies and semi-structured interviews, the mentioned capabilities were identified and then validated by distributing the questionnaire. Eventually, 10 main factors and 46 sub-factors were identified. In the next step, with using Interpretative Structural Modeling (ISM) method , the relationships between these factors were determined and partitioned into four levels.Then ANP was used to determine the weights and ranking of factors.The research results show that networking capabilities, projects management, system integration and interactions at macro levels are the most important factors in manufacturing complex products and have underlying impacts on other factors. at the end of paper, after concluding the content, some suggestions were proposed for future research.

Science and Technology Diplomacy (STD) is a nascent concept lacking worthy of academic literature and scientific texts, despite the strength of the applied field. Universities of Human Sciences have always been highly concered by the foreign policy administrations due to greater engagement with political issues and have paved the path for international interactions ahead of Engineering and Medical Science Universities. Hence, the current paper aims to establish development (STD) framework by Islamic Republic of Iran Universities of Human Sciences, in addition to identifying the affecting factors. Therefore, first we identified the Knowledge Tree of Universities of Human Sciences impact on development of STD and then classified factors using Interpretive Structural Modeling approach. Finally, we measured the intensity of the relationships between factors at different levels using DEMATEL software. At the end, we provided five overall levels of grounds, obstacles, causes and tools, strategies and outcomes and intensity of relations among them as well as internal variables.

Complex product systems (COPS) play an important role in industry, economics and technology of countries. On the other hand,Due to the complexity and the need for in depth and high level knowledge; organizations face challenges in Manufacturing and developing these products.To succeed in manufacturing of these products, organizations need to recognize the required capabilities.Therefore, the current research was conducted to identify the capabilities and enablers needed to manufacturing complex products And analyzes the causal relationships between these enablers.The other purpose of this study was to determine the importance of these factors for the accurate planning in the organization.For this purpose, with using the library studies and semi-structured interviews, the mentioned capabilities were identified and then validated by distributing the questionnaire. Eventually, 10 main factors and 46 sub-factors were identified. In the next step, with using Interpretative Structural Modeling (ISM) method , the relationships between these factors were determined and partitioned into four levels.Then ANP was used to determine the weights and ranking of factors.The research results show that networking capabilities, projects management, system integration and interactions at macro levels are the most important factors in manufacturing complex products and have underlying impacts on other factors. at the end of paper, after concluding the content, some suggestions were proposed for future research.

Outsourcing is a powerful tool for organizations to gain advantage in competition, but like any tool it may cause vulnerabilities if used improperly. The main purpose of this study is to identify risks of outsoursing projects in an electrical generation management company.Then to prioritize the major and minor risks as well as identifying them. This research is an applied research and the method is descriptive with survey. In this study, the Gray DEMATEL technique and Interpretive Structural Modeling(ISM) is combined to identify and design the pattern of relationships indicators. With the use of DEMATEL technique, we identify the causal relationships between variables. The ISM is used to analyze the results. After analyzing the factors we conducted that two risks of communication and contract problems are the main risks in outsourcing project. the company should take into account the two risks in order to achieve the success. And it cause company to maintain their competitive benefits.