دیماتل فازی

Nowadays, intelligence and industry 4.0 has been the focus of many industries due to its various benefits such as tracking raw materials and manufactured products, reducing costs, etc. One of the most important factors in facilitating the implementation of Industry 4.0 is human resources. The purpose of this research is to investigate the role of human resources on the implementation of Industry 4.0 in the steel industry of Yazd. Using research literature, 13 factors related to human resources affecting the implementation of Industry 4.0 have been identified. In the following, by using the fuzzy delphi approach and selecting 17 university professors and managers of Yazd steel industry by snowball sampling and asking for their opinions, three factors of continuous learning ability, data analysis and business intelligence, and security and privacy protection weren’t confirmed. Also, based on the request of the authors of the research from the related experts, by adding factors related to the implementation of Industry 4.0, three factors of freedom of action in doing work, sufficient time to do work, and innovation and creativity were introduced. Finally, the cause-and-effect relationships between the factors were investigated using the fuzzy dematel approach. The results showed that cooperation and interaction are the most important factors for the implementation of Industry 4.0 in Yazd steel industry. Perceived usefulness and recruitment of skilled labor are known as the most effective factors, and innovation, creativity, learning, and empowerment are known as the most effective factors on the implementation of Industry 4.0.

Banks, as financial intermediaries, should direct capital to various projects and industries in order to play a positive role in sustainable development in societies and fulfill their social responsibilities. However, the banking business models in Iran have not been designed in a way that assure the financial interests of companies and banks through injecting banking resources into production at the same time. Despite the existence of researches on the area of liquidity problems of manufacturing companies, the issue of conflict of financial interests between banks and manufacturing companies has not been resolved yet. This study is aimed at presenting how a model of social banking will reduce the financial conflict between banks and manufacturing firms in Iran. We reviewed theoretical and supporting theories in order to determine the major variables to become finalized by experts through the fuzzy Delphi technique. In order to identify the existing relationships between the variables, we used a questionnaire that were completed by 40 members of a multitasking team. Then, in order to analyze data, we used the fuzzy DMAT technique. The results indicated that in the process of social banking development, the role of sustainable value created factors, strengthening the banking system and financing sustainable projects becomes highlighted and effective factors such as optimal allocation of resources, transparency and access to Banking facilities will lead to sustainable value creation and allocation of banking resources. On the other hand, this value creation, a platform for the growth of businesses, especially in micro and small businesses, has been increased. This process will lead to the development of social entrepreneurship and ultimately will reduce the existing conflict between banks and manufacturing companies ..

Both public and private media organizations operate in a highly complex and uncertain environment. The advancement of digital technologies and mobile communications has resulted in fundamental changes in this industry, and anticipated developments in communication technologies, digital convergence, stakeholder participation in value production and distribution, new forms of media consumption, and other issues have made the industry's future direction unclear and complicated. In such a situation, senior executives and media policymakers must find ways to forecast the future and devise strategies to address the opportunities and threats that lie ahead. Many experts have emphasized the significance of future research in media management. emphasized strategic thinking in media managers in the sense of seeing the future and understanding the dynamics of the environment, and they saw the idea of the future as the origin of the media organization's actions and thus the drivers of current actions. As a result, managers try to understand not only what is happening, but also what might happen, has the potential to happen, or will happen in certain circumstances in the future. Among the various methods presented to predict the future, such as "valuable" and "exploratory" or "quantitative", "pseudo-quantitative", and "qualitative", one of the less used methods is the "Morphology Analysis," which analyzes and processes existing and future structures using set theory, topology, and random functions (Mozuni and Jonas 2017). This method identifies a vision of future drivers (Prashar, Tortorella and Fogliatto 2022) and analyzes the possibility of occurrence and its effect on the organization using matrix logic (Krauss, et al. 2022, Miklautsch, Hoffelner and Woschank 2022). Despite its solid theoretical foundations, this method's analytical dimensions have yet to be fully developed. As a result, given the importance of this method in future research studies in general, and future research of media organizations in particular, the current study seeks to identify the method's flaws as well as its theoretical and practical development in the media industry.

To analyze the morphology with a network-fuzzy approach, there are eight steps as follows: 1) defining a problem and formulating it; 2) Determining the future drivers of the media industry; 3) drawing a graph of the effects of propellants; 4) extracting the weight vector of the thrusters; 5) Verbal-fuzzy evaluation of the uncertainty of drivers; 6) Multidimensional matrix drawing; 7) evaluation of the outputs, based on the two factors of the place of occurrence and the degree of proximity to the desired goal; 8) A deeper analysis of the possible answers is suggested. The Dematel model was proposed to draw a graph of the effect of propellants, and a matrix was calculated based on the mathematical relationships of the final step of Dematel to extract the weight vector of the propellants (importance factor of the propellants). In this study, a fuzzy number was used to show the linguistic value of the k-th expert, and the fuzzy average operation was used to combine the k-th expert's fuzzy numbers, and finally, the uncertainty of the drivers was calculated as a fuzzy number. In the final section, the multidimensional morphological matrix was developed and mathematically modeled based on the two elliptic fuzzy vectors described in the verbal-fuzzy evaluation and the center of gravity of the propellant in the media industry. According to the obtained model, the weight of the propellant will increase as the decentralization in the verbal-fuzzy evaluation decreases and the distance of the center of gravity of the propellant in the media industry from the origin point of the coordinates increases.

In this section of the study, an attempt was made to present a numerical example based on five media industry drivers based on the opinions of seven experts. The communication matrix between the drivers was extracted first based on verbal concepts, and the fuzzy matrix was calculated next. The calculations yielded L, M, and U values for two vectors a (lack of concentration in importance factor) and b (lack of concentration in event uncertainty). According to the findings, the second driver has the highest level of concentration, while the first driver has the lowest level of concentration. Finally, the value of V or the weight of each propellant was calculated using equation 9. The weight vector obtained shows that propellants 4, 1, 5, and 2 have the greatest amount of weight. The network-phase morphology matrix of media industry drivers can be extracted further in this study using the diagram below.

As stated in the n article, future studies have been proposed as one of the study trends in the media industry due to the increasing complexities of the environment and the rapid changes in the media industry. Future research is conducted using a variety of methods that are classified according to the nature of the data. One of the less introduced qualitative methods is morphology, which evaluates future drivers based on the qualitative judgment of experts based on the two dimensions of "effect on the future" and "probability of occurrence". Because human speech is composed of two parts, mental and objective, verbal evaluation is challenged by degrees of abstraction and concreteness, resulting in ambiguity in the truth of the meaning. Therefore, verbal evaluations, especially in humanities studies, have multiple states of degrees of truth instead of the dual state of truth-untruthfulness. On the other hand, this method is developed based on the mutual relations of the drivers, which is assumed to be linear in the previous studies of this interaction. Based on this, as discussed in the article, future studies have emerged as one of the study trends in the media industry by using fuzzy logic, the possibility of multiple valuations of degrees of truth, and using the Dematel technique, the possibility of network analysis and non-independence in future engines and analysis of morphology. Future research will take the form of various methods that are classified based on the nature of the data. One of the less introduced qualitative methods is morphology, which evaluates future drivers based on the qualitative judgment of experts based on the two dimensions of "effect on the future" and "probability of occurrence". Because human speech consists of two parts, mental and objective, verbal evaluation is confronted with degrees of abstraction and concreteness, causing ambiguity in the truth of the meaning. At the end of the findings, the proposed model is a kind of applied qualitative classification based on two fuzzy vectors "effect on the future" and "probability of occurrence" and the calculation of two variables "lack of concentration" and "center of gravity" in the evaluation and classification of future drivers in the media industry. Following the theoretical development of the morphology matrix's fuzzy-network mathematical relationships, it was simulated in the MATLAB software environment and tested using a numerical example. The morphology of organizational social media was done through discrete valuation and with a nominal scale in Viravali and Viayalakshmi's (2019) article, and the relationship between the dimensions was not considered, nor was the precedence between the studies done. However, in this article, the valuation was done using a fuzzy and continuous distance scale, and because the studied dimensions were not independent, the relationships between them were studied using network logic, and finally, precedence Propellers were obtained by combining the value of two developed morphology vectors. Furthermore, according to the research findings of Prashar et al. (2022), Krauss et al. (2022), and Miklautsch et al. (2022), the morphological analysis method has a high capability in the typology of all kinds of qualitative concepts and rank classification, which is still applicable after the development of the network-fuzzy model. This feature has been preserved for this method. At the end of the findings, the proposed model is a kind of applied qualitative classification based on two fuzzy vectors "effect on the future" and "probability of occurrence" and the calculation of two variables "lack of concentration" and "center of gravity" in the evaluation and classification of future drivers in the media industry.

in the industry 4.0 the emergence of major technologies such as artificial intelligence and the Internet of Things has led to widespread changes in business models, with banks having a larger share of these developments. Despite the research done to change the business model in the Fourth Industrial Revolution, the issue of change in the banking supply chain in the industry 4.0, has been almost neglected.Therefore, in this article, after reviewing the research conducted in this field, in order to identify the influential variables and understand the existing relationships, using a fuzzy dimatel technique and system dynamics modeling approach, a dynamic model is presented, which with Drawing Circular diagram to help better understand the role of the industry 4.0 on the supply chain of banking services. The results show that the connection of new actors to the supply chain of banking services, cooperation between organizations, systematic sharing of customer information between partners, investment in the IT department of the bank and development of digital banking infrastructure by the central bank, respectively, have the most impact and trust. Through perceived usefulness and supply chain stability, it has the greatest impact on the model of the impact of the industry 4.0 on the development of digital banking.

The purpose of the present study was to present a systematic model of promoting human resource productivity through fuzzy dimensional approach applicable at various branches of Islamic Azad University in Azerbaijan in the time span of 2018-2019. The research population consisted of all faculty members at various branches of Islamic Azad University in East Azerbaijan province. The data collection instruments employed included two researcher-made questionnaires one initially designed as a five-point Likert scale to identify the factors affecting the promotion of human resource productivity in the university and the other desveloped subsequently based on paired comparisons required for fuzzy dimensional system approach. The questionnaires were validated in terms of their content and internal consistency and test-retest reliability estimates. Initially, the data obtained from the first questionnaire were statistically analysed through student t-test and the findings indicated five main factors that were perceived by the participating faculty members as effective in promoting the productivity of university human resources. Further, the second questionnaire was developed based on paired comparisons of the five identified factors and was distributed to the research sample. The findings emerging from DIMATEL systematic approach revealed creativity and innovation grounding, provision of targeted training and utilization of appropriate knowledge management strategies and practices as highly influential and influenceabl factors in the system under study. Targeted training was also identified as having a higher impact on other system factors. In addition, adherence to competency trends in personnel promotion as well as embracing creativity and innovation in the organization were identified as two factors highly influenced by others.

This research examines the role of open innovation intermediaries in facilitating communication between industrial enterprises (technology applicants) and technology-centric companies (technology providers). There is always a lot of challenges for technology exchanges and the needs of the industry. In the meantime, institutional existence is important to facilitate the process of technology exchange to increase interactions. However, as past experiences show, intermediary institutions in our country have not functioned well, and technological exchanges do not have the desired conditions. To this end, the purpose of this study is to provide a model for setting up such an institution. The method used in this study is quantitative. Initially, the functions of the intermediate entity were extracted and then, using the fuzzy Delphi technique, the proper functioning of an intermediary entity in the country was identified and divided. In the following, we study the effectiveness and effectiveness of the relationship between the factors using the fuzzy demilitarization technique and have been investigated using the Fuzzy Network Analysis Technique for weighting and prioritizing.

Life insurance, as one type of insurances which supports insured’s family against premature and pre-retirement death of head of the family, has been attracted much attention in recent years. However, evidences indicate public unwillingness to buy life insurance. The current study aims to investigate and prioritize the affecting factors on unwillingness to buy life insurance in Guilan province. For this purpose, first, the affecting factors were identified by reviewing the theoretical literature. Next, these factors were sent to 384 customers in form of a questionnaire which the statistical analysis of their responses leads to determination of 18 more important factors. Hence, many of these factors have interactions with the others. Hence, fuzzy DEMATEL technique is used to determine critical factors. Next, the identified factors were sent to the managers of 45 Iran insurance agents in Guilan province in form of a fuzzy DEMATEL questionnaire. The results of data analysis using MATLAB 2014 software showed that the critical factors influencing unwillingness to buy life insurance in Rasht city are: (1) from influencing point of view: income level, educational level, inflation rate and recession, (2) from to be influenced point of view: life expectancy, saving tendency, expectations levels and life standards and (3) from sum of influencing and to be influenced point of view: life expectancy, income level, life standards and educational level. Finally, suggestions are proposed to the insurers in order to increase the willingness in life insurance.

In recent decades, in line with increasing environmental risks and related human concerns, the concept of green supply chain has been introduced as a modern approach to reduce the environmental impact of organizational products by researchers. During recent years, public policy has led organizations to accept such concept. However, several obstacles have existed in the way of accepting green supply chain that should be removed. This study is an attempt to identify the main obstacles to the adoption of green supply chain and assess the impact and effectiveness of each of these obstacles on the entire system. In this regard, 18 factors were firstly identified as the main obstacles for green supply chain adoption. Statistical population of this study are 8 experts and professionals in Food Industry who are completely familiar with green supply chain. We have used fuzzy DEMATEL technique in order to assess causal relationship and also classify identified obstacles into two groups of cause and effect. The results indicate that the teaching staff and the support and participation of senior management play a vital role in the adoption of green supply chain.

Nowadays, advertising has become an inseparable part of human life. Considering the principal that says ‘as long as there is a need the advertising exists’, an industrial and civilized, or in other words, today’s society, cannot sustain without advertising goods and services. In order to recognize the affecting variables In the area of internet advertising on industrial market, and to understand its relating dynamisms, Delphi method and literature of the subject is used, and Fuzzy Dematel Techniques were used to determine the effect of variables. According to results, there was a strong bilateral relationship between internet advertising and the development of the industrial market that this process can be strengthened over time as a dynamic cycle. Also industrial market development, development of online website advertising, and participation of users, has the greatest influence. Finally, a dynamic model was provided using systems dynamics modeling approach and drawings of Casual Loop Diagram(CLD) to better understand this dynamics relationship.

Along with the advent of the industrial revolution and the use of machinery, Its maintenance also has been taken into account by authorities in order to increase the efficiency and equipment safety levels. Preventive maintenance performs with a preventive approach based on accurate and precise data analysis, determining the cause of loss; incidents root cause identification, and defining corrective actions in maintenance system. Mechanized systems of maintenance management in the organizations have been implemented with the same approach. Statistics show that more than 80% of CMMS projects will be failed. Barrier detection of the implementation of CMMS can help management to find solutions and as a result resolve them. So this study has been done to ascertain and rank the critical factors of success and failure in the implementation of the system, using a combination of the two DEMATEL and fuzzy TOPSIS methods. Various factors, can affect the success of system implementation projects. So, in this study after determining of the goal, in the first step, the main challenges associated with their underlying factors that are affecting the implementation of CMMS, by using of literature, experts identifying and tracing their hierarchy will be discussed. In the second step, by using of the fuzzy DEMATEL to evaluate the relationships between criteria and the weighting of criteria will be measured considering the hierarchy. After determination of weight of each criterion, as the third step fuzzy TOPSIS method is used to rank all the factors and sub-criteria. The results of using this hybrid approach (abovementioned methodology), indicated that did not select the right contractor, has the greatest impact on CMMS implementation in the organization.

Development of new technologies is one of the key success factors in most today’s organizations. But this point must also be considered that the acceptance of new technologies does not happen at the moment; it is a process that takes shape over time، and if the usage is repeated، it can be concluded that acceptance has been successful. Besides the systematical review of the researches conducted on technology acceptance model since it’s development by Davis so far in this paper، there has been an effort regarding basic TAM model variables and adding more neglected variables including habit، the ability to use and advertisements، a technology acceptance model has been presented considering social and cultural situation in Iran. A questionnaire was designed to test the assumptions، and after being completed by the staff of information Technology action Refah bank، it was analyzed using fuzzy dematel. Research result shows the fact that continuous use of a technology (like electronic banking) leads to an increase in habit of use that itself results in an increase of usage، indeed there will be a strong reinforcing loop. On the other hand، habit of using previous system (traditional banking) is of the main obstacles to users willing to use new technologies in Iran.