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

Innovation is very important today for organizations that want to survive and stay alive. In today's advanced world, organizations that lack initiative and creativity have little to say in practice. Therefore, at present, to manage organizations, it is necessary to innovate and take advantage of scientific and technical achievements and pave the way for innovation and presenting appropriate plans in these organizations. In the first step, using previous studies and the opinion of experts, the criteria for the development of innovation and technology in the automotive industry are identified. second step, using the Demetel method, the internal relationships of each of the identified criteria and sub-criteria will be examined. The results obtained from the Demetel method will be used in the next step.Therefore, in the third stage, using the best-worst decision-making methods, the weight and rank of each of the finalized criteria will be obtained.The findings of this study showed that the most important components in the development of innovation in the light vehicle industry and according to the ranking of factors and challenges determined based on the strategic development Has been document of the industry to the development of innovation and technology in macro policies. But in the industry in question, the resources for innovation development have not been adequately supported by upstream influencers as policymakers and investors. Therefore, the main factors influencing development, namely sources of innovation and technological activities, and suppliers of sectoral institutions as factors affecting the development of innovation have not been able to play their basic plan.

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

the purpose of this research was to investigate the causal-effect relationships of the criteria of the integrated model of managerial succession planning using DIMTEL in Iran Tobacco Company. The current research is quantitative in terms of applied purpose. After reviewing the research literature and the opinion of 8 experts who are familiar with the concepts of succession and examining the 14 existing categories resulting from the conceptual model, 10 sub-categories in the form of four main categories, using the DIMTEL technique and designing a questionnaire to measure the impact of each of them. It was evaluated and identified in pairs After that, the relationships between the categories of the managers' succession planning model and the cause-disability graph of these categories, the construction of the sub-categories of "cultural factors", "environmental factors" and "management factors" have been effective on the main category of "policy setting". Also, the sub-categories of "structural factors", "organizational factors" and "individual factors" have an effect on the main category of "candidate evaluation". The sub-categories of "educational factors" and "in-service factors" have an effect on the main category of "development" and the sub-categories of "organizational functional factors" and "individual functional factors" have an effect on the main category of "effectiveness evaluation". that individual performance factors, in-service factors and organizational factors had the greatest effect on the main categories. . The research results are a suitable guide for planning the succession of managers in the tobacco industry, which can be used by industrialists and researchers.

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

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

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

Originality/Value:

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

Developed within the past decades as a key concept in international and power relations, soft power emphasizes diplomacy, culture, art, and propaganda instead of hard and coercive aspects of power. As soft power affects the international prestige and credit of countries, this applied exploratory study sought to elaborate on the role of soft power and its componential elements in attracting foreign tourists. The theoretical population of the study comprised fifteen experts in soft power and tourism who were selected via convenience sampling. To conduct the study, twenty-seven factors were identified by reviewing the related literature on tourism and soft power. The factors were then screened via the Binomial test, out of which seventeen factors were excluded due to their over 5% significance coefficient. The remaining ten factors were then analyzed using the cross-impact analysis (CIA) technique.The results of the study indicated that successful organization of political, artistic, scientific, sports, and literary events at the international level, the presence of foreign companies in the business environment of Iran, cyberspace and social networks, and improving tolerance among influential reference groups in society contributed the most to attracting tourists to Iran. The study was also replicated using the DEMATEL method, producing very similar results compared to the previous test, and the same four factors were identified as the most influential factors in attracting foreign tourists. It should be noted that the DEMATEL method and cross-impact analysis are based on a critical realism approach, considering the fact that they both enjoy structural analysis.

Nowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and university and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The purpose of this research is to identify the indicators of networking in science and technology parks. The method of the current research is qualitative and in it three methods of metacomposition, fuzzy Delphi and Dimetal were used. A search was made in Persian and English databases and 10 related studies were identified and analyzed. In order to verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the fuzzy Delphi method. In order to draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software. The results showed that networking in science and technology parks has 15 indicators, such as improving the level of products, information, increasing market share, goals and creating value. According to experts, the market share increase index is the first priority and organizational learning is the last. Drawing the causal model of networking showed that indicators such as management, organizational learning, information and knowledge are effective indicators. Indicators such as new product development, market opportunity creation, relationships and opportunity exploitation are also effective indicators in the networking of science and technology parks.

Nowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and universities and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The ultimate mission of technology parks is to be able to coordinate the results obtained from academic research with the needs of the industry and thus fill the gap between the industry and the university, and this will ultimately lead to the commercialization of knowledge. One of the major influential factors in changing the approach of science and technology parks and creating new structures and mechanisms is the birth of new concepts such as networking in the field of business. The purpose of business networking is to increase competition, cooperation and organizational expansion. Considering the importance of these centers and the impact of networking on their performance, it is essential to identify the indicators of networking in science and technology parks. So far, many researchers have investigated the relationship between science and technology parks and other actors in the innovation ecosystem, but few researchers have focused only on the indicators of park networking. In this regard, this research aims to identify the factors influencing the networking of science and technology parks and to evaluate the cause-and-effect relationships between these factors by using the method of a systematic review of previous studies (super combination) and a survey of experts. This question should answer what are the indicators of networking in science and technology parks.

Paztto and Burin's research (2022) indicates that management control systems are effective in inter-organizational cooperation and identification of companies. This system promotes collaborative behaviors among companies related to science and technology parks. Networking and inter-organizational partnership ultimately lead to knowledge and information sharing, increasing flexibility, improving problem-solving strategies and limiting the use of power. The research of Glitova et al. (2022) showed that for cooperation and networking between industry, university and the public sector, attention should be paid to indicators such as knowledge creation by universities, research and development centers and businesses, technology transfer, creation of new businesses, industrial clusters, Business support services, customization, building the necessary infrastructure and equipment, and legal requirements at the local level are required. The research of Khan-Mirzaei et al. (2021) showed that networking and emphasizing cooperation and communication between science and technology parks and growth centers can lead to gaining a competitive advantage for the national economy. Communication with universities and research and development centers, cooperation with companies that have a similar field of work, access to the information flow and access to the information needed in the market, or in other words, the market situation, are among the factors that create a cooperation network between Science and technology, industry, university parks are important. In confirmation of this issue, Cadorin et al. (2019) stated that talent resources and the government play an important role in promoting cooperation between science and technology parks and universities. Managers of science and technology parks should strengthen their relationship with local universities and the student community (as sources of talent) and pay attention to their relations with government representatives to receive the necessary support for the development of the park.

The method of the current research is qualitative and in it, three methods of Meta-synthesis, Fuzzy Delphi and DEMATEL were used. A search was conducted in Persian and English databases and 10 related studies were identified and analyzed. To verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the Fuzzy Delphi method. To draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software.

In this research, a set of 62 codes and 15 indicators was obtained by extracting concepts effective on park networking from previous qualitative research. The main indicators include improving the level of products, and information, increasing market share, goals (park goals, socio-economic and environmental goals), creating value, exploiting the opportunities available in the park, optimizing resources, and developing new products, Knowledge includes the knowledge of the market-partners and co-creation of knowledge, the international and commercial performance of the park, creating opportunities through the market, management, the need for resources and operational resources, creating and developing relationships and organizational learning. According to experts, the market share increase index is the priority and organizational learning is the last. The indicators of relationships, value creation, resources, market opportunities, goals, management, knowledge, exploiting opportunities, resource optimization, performance, upgrading products, information and new product development are ranked second to fourteenth respectively. Indicators of management, organizational learning, information, knowledge, goals, resources, and upgrading of products are effective indicators. New product development, creating market opportunities, and relationships, exploiting opportunities, optimizing resources, creating value, and increasing market share and performance are also influential indicators in the networking of science and technology parks.

The review of the subject literature showed that paying attention to the indicators obtained in this research can lead to networking in science and technology parks. For example, the implementation of the indicators of improving the level of products, increasing market share, park goals, creating value, exploiting opportunities, knowledge, creating market opportunities, relations between actors, organizational learning and technical and human resources in Nihu Technology Park and Nankang Software Park in Taipei City. Networked. Researchers have pointed out various actors in the cooperation network of science and technology parks. The review of the texts in the meta-synthesis stage showed that each of the sources identified one to three actors based on their purpose. What was tried to be considered in this research was the gathering and consensus of all actors and their placement in the form of networking indicators such as increasing market share, resources and management. Among the new findings of this research, we can mention the type of causal relationships that are established between the indicators of networking in science and technology parks. Most researchers have not paid attention to these relationships and have focused more on the relationship between the park and variables such as innovation, performance, development, etc. However, the identification of networking behavior and the type of communication between the elements of this ecosystem can lead to the improvement of performance and optimization of activities and actions, and in this research, we tried to consider more and more comprehensive indicators in the cooperation network. be placed Finally, the purpose of the formation and development of science and technology parks is to increase the capacity of innovation and the growth of the knowledge-based economy through knowledge management (creation, sharing and access to knowledge and technology) among the members of the cooperation network of parks and to develop and commercialize the product, it becomes possible by them.

Organizational culture represents attitudes, beliefs, traditions, and values within an organization and reflects the main concerns of organizational sociology. This research aims to analyze the relationships among organizational culture indicators using the DEMATEL method at the Islamic Azad University in the west of Mazandaran province. The purpose of this research, in terms of the objective method, is applied, which has examined the current situation at the Islamic Azad University in the west of Mazandaran province as a case study. The present research community includes faculty members of Islamic Azad Universities in the west of Mazandaran, including Islamic Azad University of Mahmoudabad, Noor, Nowshahr, Chalous, Tonekabon, Ramsar, which altogether include 491 people. Out of this number, based on Cochran’s formula, 215 correctly completed questionnaires were considered as primary data for the DEMATEL technique. It should be noted that despite all the reviews during the completion and collection of the questionnaire, 12 questionnaires were not properly completed and were excluded from the review cycle. Using a review of previous literature, six indices of process-oriented versus result-oriented, employee-centered versus job-centered, professional-oriented versus local-oriented, open system versus closed system, easy control versus hard control, and legalism versus pragmatism were considered as organizational culture indicators. The DEMATEL technique was used to analyze the data, and based on the analysis, the index of legalism versus pragmatism was introduced as the most influential and most affected index, which also had the highest interaction with other indices.

1- Investigating psychological resilience strategies in organizations is important because it can help organizations create a culture of resilience that supports the well-being of employees and the organization as a whole. Resilience can help employees cope with stress, adapt to change, and thrive in challenging situations. Those organizations for whom resilience is a priority can benefit from increased productivity, reduced absenteeism, and improved employee morale. Investigating psychological resilience strategies in organizations is necessary to enhance the well-being of employees and the whole organization. A culture of resilience can help organizations thrive in challenging times and support long-term success and sustainability. The ultimate goal of educational organizations that are impressive learning organizations is to make people exert relatively stable behaviors. If education and learning are means to realize other organizational goals in other organizations, educational organizations are humanizing and changing behavior. Therefore, the employees of these organizations and their human resource managers are the target of organizational psychology research more than other fields. Identification and analysis of psychological resilience strategies of human resources in educational organizations can provide a broad perspective on managing employees and controlling changes. According to the stated contents, appreciable research has not investigated the strategies of psychological resilience of human resources in educational organizations. In the research that has dealt with psychological resilience so far, research gaps in the field of psychological resilience strategies are evident. In addition to covering the existing research gap, the present research will contribute to developing literature in the research field. Therefore, the current research aims to identify and rank psychological resilience strategies of human resources.
 
2- THEORETICAL FRAMEWORK
Psychological resilience is a person's ability to endure and overcome adversity without heavy damage to his mental state. Resilience, until recently, was considered a personal trait but is quickly becoming a critical skill for success in the workplace. Any stressful event or situation that makes a person feel overwhelmed and unable to handle and manage assigned responsibilities can be psychologically harmful. In addition to everyday stress, there are also severe incidents such as bullying, sexual harassment, and humiliation that can hurt a person's psychology. Psychological resilience gives a person the strength to face workplace daily stress and severe incidents without emotional damage. Psychological resilience in the workplace has the following benefits: a productive work environment, happier teams that are better equipped to manage different types of stress, a positive work culture, increased employee engagement, high employee job satisfaction, improved employee relations, self-respecting personnel, and employees with practical knowledge to balance their personal and professional lives. Many organizations have succeeded in creating a resilient workforce by creating a healthy work culture where employees thrive. A high commitment to building resilience in employees is critical for an organization.
 
3- This research is an applied study in terms of purpose, and regarding the method, it is a mixed study with an inductive-comparative paradigm. The statistical population of this research in the qualitative section was university professors and experts in educational management, human resource management, and organizational behavior. According to the purpose of the study, a sample size of 19 people was selected by conducting purposeful sampling using the snowball technique. The statistical population of the quantitative part was comprised of senior and middle managers and staff at Urmia University, which was sampled using the non-probability method.
 
4- RESULTS & In the qualitative part, analyzing the data obtained from the interviews in MAXQDA software led to the extraction of 14 psychological resilience strategies. In the quantitative phase, the analysis was carried out using the DEMATEL method. The strategies identified in the qualitative phase are as follows: perceived organizational support, coping with work-family conflict, the importance of feedback, strategic agility, horizontal management, psychological empowerment, job-employee fit techniques, tension management, improving the quality of work life, training programs, structural empowerment, dealing with cognitive distortions, effective communication, and constructive organizational culture. Based on DEMATEL analysis, strategic agility, structural empowerment, horizontal management, perceived support, and job-employee fit techniques are the most effective strategies. Psychological empowerment, flat management, tension management, and effective communication are both permeating and being influenced. Senior human resource managers at the university have paid enough attention to job matching techniques, such as fitting the tasks and abilities of people and the full description of responsibilities to improve the employees' performance and psychological health given the changes and social and work developments. Implement organizational empowerment and support requirements. The tangible attention of the organization to the employee, in addition to improving commitment and work attachment, also significantly improves productivity and job involvement.
 
5- CONCLUSIONS & SUGGESTIONS
Resilience in the workplace improves the organizational performance of employees. With the spread of emerging crises, psychological resilience has become more crucial, and human characteristics are needed to improve performance. In addition, resilience can be strengthened and developed by developing effective strategies to reduce vulnerability to stress and the impact of adversity in the workplace. According to DEMATEL analysis, stress management, feedback importance, improving the quality of work life, and effective communication were the strategies that had the most influence on others. Strategic agility, structural empowerment, horizontal management, and perceived organizational support were influenced more than the others. Psychological empowerment, flat management, tension management, and effective communication are penetrating and are influenced by other strategies. Educational and awareness programs about mental resilience include presentations, workshops, and training sessions for individuals and organizations. It is suggested that modifying the structure of work duties, responsibilities, and expectations should fit with the power and capacity of the employees. In this regard, human resource managers and supervisors of various departments should plan tasks with sufficient knowledge of functional and personality characteristics.

Omni-channel is a cross-channel business model that companies use to increase and improve customer relationships. Companies that use Omni-channel believe that the customer's value is the ability to continuously contact the company through multiple ways at the same time. In Omni-channel, all customer behaviors are fully predicted and supported in all communication channels and contact points, so that if during the purchase process, the customer changes direction from one communication channel to another, there will be no impact or deficiency in the result of his purchase. In this research, we seek to investigate the cause-effect relationships of the criteria affecting procurement time, cost, and customer satisfaction in Omni-channel distribution network using DEMATEL method. Therefore, by using DEMATEL’s method, the criteria affecting the causal relationships are carried out so that, in addition to the long-term planning process, it has the ability to deal with future uncertainties. According to the calculations and analysis, it was found that the criteria of product inventory, responsiveness, responsibility, communication with the customer, identification and selection of distributors, information technology capability, customer expectations, in the process of improving the procurement time, cost and customer satisfaction in Omni-channel distribution network as handicap factors can play a very effective role in attracting customers and increasing market share in competitive markets. The results showed that among the most important effective factors in improving the procurement time, cost and customer satisfaction in Omni-channel distribution network, the factors of customer return rate and government laws can be mentioned.

The business model is an important factor in the competitive advantage of companies, and companies need to recreate their business model by changing the business environment due to changes in technology and communication. The current research aims to design a dynamic model based on text mining and soft methods to determine the most important key factors of electronic business models. This research is based on the text mining method and using the system dynamics modeling approach. In order to extract the key factors, the text mining of 779 articles of the last ten years from the world's authoritative databases has been examined. After examining the experts and selecting 17 key factors from among the extracted factors, in order to investigate the causal relationships between the key factors, the DEMATEL technique was used and the DEMATEL matrix was completed by the experts, and finally, the dynamic model of the research was drawn using Vensim software. The most influential causal factor is "Internet of Things" followed by "blockchain and cloud processing", and the most impressionable disabling factor is "provided value in the business". Also, the most influential factor on all factors was "nature of the media" and the most impressionable factor among the set of factors was "type of used technology ".

The maturity of business intelligence, which is the main goal of this research, plays an important role in intelligent decision-making, planning, control and monitoring in the field of health care. In order to identify the effective factors, the Delphi method was used and experts' opinions were, and in order to determine the effectiveness and effectiveness of the indicators and finally to prioritize them, used the DANP method. The statistical sample includes 20 targeted academic experts and health care experts. According to the results of the Delphi section, 26 main indicators finalized in the research were identified, which are divided into three main categories including organizational, process and judgment criteria. According to the results of the DANP process, flexible and expandable technical infrastructure criteria, data and system quality and the correct definition of business intelligence problems and processes were prioritized as the three criteria with the highest ranking in the maturity of business intelligence. The business intelligence maturity model proposed by the research can be a road map for the successful implementation of business intelligence in the field of health care.

Prioritizing the impact of intellectual capital factors of the Ministry of Defense.

The method used in this research was quantitative in terms of nature of data, applied in terms of purpose and descriptive research in terms of data collection. In this research, the dematel questionnaire tool was used to collect data and the danp technique was used to prioritize the criteria. All steps are done using EXCEL software.

The number of 3 criteria and 13 sub-criteria of intellectual capital were weighted using the danp technique. Finally, the finding of the research indicate the high importance of the human capital criterion in promoting the authority of defense power, and social capital and structural capital are the next priorities. Idealist, authoritarian, relational sub-criteria are respectively the most important in the.

One of the key issues of today and the future of the country's armed forces is not only the use of expert and committed human capital to create or develop advanced technologies and capabilities, but the armed forces and especially the Ministry of Defense need to design an efficient model for the use of human capital and special talents in line with Achieving groundbreaking innovations and developments shows the importance of addressing intellectual capital and prioritizing its factors.

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.

The insurance industry has a great influence on the dynamics and progress of the economy in countries.  The penetration of technologies in the structure of insurance organizations has converted the nature of the insurance business. In this research,  by using of the business ecosystem, the effective factors of insurtech have been tried to be investigated on the blocks of the business landscape that make up the business model of insurance companies, as well as the influence and effectiveness of these factors. 

In this research, after revisal the literature, the effective agents of insurtech on the business ecosystem of the insurance industry were  gathered and provided to the experts in the form of a questionnaire. The statistical society of the research consists of information technology directores and insurance industry research and development managers and insurance industry experts who are related to insurance technology.  In this platform, the opinion questionnaire of experts was completed by 15 experts in this field. After examining the answers of the experts to the questionnaire, 26 sub-criteria affecting the business environment of the insurance industry were determined. Then, the Dematel questionnaire was completed by 8 experts in the insurance industry, and effective factors were identified and ranked by using the combination of network analysis and Dimtel methods.

Based on the results of Dematel analysis method, the criteria of key resources, effective activities, customer orientation, customer sections and channels affect the system. Also, income flow criteria, key partners, value proposition and cost structure are affected by the system. The results of the network analysis method have shown that at the level of the main criteria, the criterion of key partners by a weight of 0.206 ranks first, value proposition by a weight of 0.192 ranks second, cost structure by a weight of 0.185 ranks third, key resources by a weight of 0.125 ranks fourth, customer orientation by The weight of 0.099 ranks fifth, key activities by a weight of 0.097 ranks sixth, channels by a weight of 0.044 rank seventh, revenue stream by a weight of 0.037 ranks eighth, and customer segments by a weight of 0.015 ranks ninth.

Insurance companies should update their business environment to take advantage of Insurtech opportunities. The directors of insurance companies should pay most attention to the company's key partners first and then to the value proposition and cost structure.

Automotive companies must consider strategic initiatives to compete and respond to dynamic customer demand. In this regard, flexible manufacturing is a strategy that is used in the productivity, quality of the final product and vulnerabilities caused by unexpected changes in the volume and mix of orders in the automotive industry. The current research aimed to identify and analyze the influenceability and Permeability factors affecting flexible manufacturing in Iran's automobile industry. This research is applied in terms of purpose and terms of research typology. It is among mixed research with qualitative and quantitative approaches. The statistical population of this research was the professors and experts of industrial management, business management and industrial engineering in the qualitative section, and according to the purpose of the research, sampling in this research was done in a targeted manner using the snowball technique and in the number of 26 people. The statistical population of this research was quantitatively senior and middle managers of Saipa group companies, who participated in this research using the convenience sampling method. In the qualitative part, the data obtained from the interviews using thematic analysis and MAXQDA2020 software led to the extraction of 11 factors affecting flexible manufacturing, and the analysis of the quantitative part was performed using the Dematel method. Based on Dematel analysis, the make-smart of lines, process re-engineering, and technological infrastructure significantly influence other factors. Professionalization of human capital, automation and technological platforms are also more permeability than other factors.

This research has been done with the aim of investigating and identifying the factors of Total Quality Management (TQM) that affect the performance of CHAMRAN parts industry in the world-class. This research is descriptive and analytical in terms of its purpose, which has used the combined method of DEMATEL and Interpretive Structural Modeling (ISM) and MICMAC method to analyze the research data and discover the cause and effect of the factors. With the help of industry experts, 16 effective factors of total quality management were identified by snowball sampling method. Finally, based on the interpretive structural modeling method, 4 general levels were obtained for these factors, and the fourth level factor of leadership was the most effective factor, and also based on the MICMAC method, system quality criteria (C1), communication with suppliers and management (C2), leadership (C4) and process management and efficiency (C13) were independent variables It is suggested that industry managers manage their industry in the best possible way to gain a competitive advantage by improving the quality of used systems and improving work processes by maintaining effective and continuous communication with suppliers of raw materials. The innovation of this research is in the application of the combined paradigm of decision-making in the world-class production competitive environment regarding the determination of comprehensive quality management indicators, which has received less attention in other researches.

A precise selection of suppliers for the oil industry and oil products requires consideration of essential and efficient criteria and sub-criteria, as well as the relationship between them. Supplier selection aims to identify suppliers with the most significant potential to provide customers with materials, machines, and spare parts at reasonable prices for the foreseeable future. In order to accomplish this, suppliers must be monitored according to the criteria that customers desire. This paper presents a stable method for evaluating and analyzing suppliers, and supplier selection problems are solved by combining Dematel fuzzy decision-making experiment and ANP[1]. Using a new approach, this study proposes a solution to the problem that enables decision makers to minimize the negative environmental effects and maximize the positive social effects while maximizing the supply chain's commercial performance by choosing a sustainable supplier. At first, the effects of the decision criteria are calculated by Fuzzy Dematel. Then the weights of each criterion related to sustainable supplier selection are extracted by the ANP method. It has been concluded in this study that when selecting suppliers for the oil industry, decision-makers should pay attention to both financial indicators and environmental indicators.

Omni-channel is a cross-channel business model that companies use to increase and improve customer relationships. Companies that use Omni-channel believe that the customer's value is the ability to continuously contact the company in multiple ways at the same time (multiple communication channels at the same time and with the same information). In Omni-Channel, all customer behaviors are fully predicted and supported in all communication channels and contact points, so that if during the purchase process, the customer changes direction from one communication channel to another, there will be no impact or deficiency in the result of his purchase. In this research, we are investigating the cause-effect relationship of the criteria affecting the sales price in the Omni-Chanel distribution network using the DEMATEL method. Therefore, by using DEMETAL's method, the criteria affecting the causal relationships are carried out so that, in addition to the long-term planning process, it has the ability to deal with future uncertainties. The results showed that the most important effective factor in the pricing process in the safe distribution of the channel can be pointed to the product inventory factor. Also, the distribution capacity factor has a significant impact on the pricing in the Omni-Channel distribution system.