anp

The purpose of the research is to identify and analyze occupational accidents among firefighters at stations covered by Tehran's 20th district.The applied research method is a mixed type that was analyzed by analyzing occupational accidents that occurred from 2018 to 2024 using JSA risk assessment worksheets and Superdecision3.2, SPSS26, and EXCEL2019 software. The research tool is a researcher-made questionnaire developed in the form of a risk assessment worksheet. The validity of the questionnaire was obtained from the experts and the CVR index was 0.37, and its reliability was calculated in a preliminary test (with 20 people) and Cronbach's alpha was 0.887. The statistical population of the research was 158 out of 268 firefighters, according to the Cochran formula, through the risk assessment worksheet. The sampling method was simple and the sampling size was calculated using the Morgan table, 152 people. Combining the results of risk analysis using JSA and ANP methods is a research innovation. The findings indicate that 14 unacceptable risks with a risk number greater than 12 were identified for 4 job titles. Also, the percentage of unacceptable, undesirable, and acceptable risks is 41.3, 37.3, and 22 percent, respectively. The ranking of risks in the Superdecision software was determined according to the final weights, including: A5= 0.24, A2= 0.16 and A1= 0.11. The results show that the highest probability of unacceptable risks occurring is at the operation site, and the most important control measures to reduce the risk level are: accurate scene assessment, use of personal protective equipment, and securing the scene of the accident.

Marine insurance is one of the most important branches of insurance playing a crucial role in managing the risks associated with maritime operations. This type of insurance includes hull insurance, liability insurance, marine cargo insurance, and offshore energy insurance, each covering different aspects of maritime risks. Since maritime activities are constantly exposed to hazards such as adverse weather conditions, marine accidents, cargo damage, and other factors, the precise evaluation of risk profiles related to these types of insurance becomes highly significant. Such assessments not only improve safety and reduce potential losses but also enable insurance companies to make more accurate and informed decisions in risk management, thereby designing more effective strategies to address these risks. In response to this need, the present study aims to identify, analyze, and prioritize risk indicators in marine insurance and provide a systematic and scientific framework for better risk management.

In the first stage, key risk indicators were identified through a systematic review of the literature. This stage involved examining scientific articles, industry reports, and credible sources to extract indicators that directly or indirectly affect the risk profile. In the next step, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was employed to analyze the relationships among the indicators. This method is one of the advanced techniques for analyzing causal relationships among factors, enabling the identification of influencing and influenced indicators. Following this, the Analytic Network Process (ANP) was used to determine the weight and importance of each indicator. This method, utilizing the insights of experts and specialists in the insurance and maritime industries, provided an accurate prioritization of the indicators and determined their impact on the risk profile.

The results of this study revealed that indicators such as vessel technical specifications, cargo type and packaging, weather conditions, and human resource management are among the key factors influencing the risk profile of marine insurance. Analyses using the DEMATEL method showed that factors related to operational management and human resources have the greatest causal impact on other indicators. These factors were identified as key indicators within the risk structure, emphasizing the importance of focusing on them when developing management strategies. Moreover, the analyses indicated that indicators related to the technical features of the vessel and cargo, such as the vessel's age, cargo type, and packaging methods, play a significant role in increasing or decreasing risks.

The hybrid ANP-DEMATEL approach utilized in this study provides a comprehensive and practical framework for evaluating and managing the risk profiles of marine insurance. This framework not only offers an appropriate tool for risk analysis but also helps insurance companies design more effective risk management strategies. Applying this approach can lead to reduced potential losses and optimized risk management processes in the insurance industry. Furthermore, the results of this study can serve as a foundation for future research on developing innovative risk management tools and enhancing the capabilities of marine insurance. The study also demonstrates that adopting a systematic and scientific approach to risk management can improve decision-making and enhance the reliability of insurance processes.

This research was conducted with the aim of analyzing the gap in the deployment of artificial intelligence in advertising and marketing companies in Iran.

the multi-criteria decision-making study method was chosen using Super Decision. The methods of information collection, according to the background of the research, library methods were used, and the field method was used to collect information to answer the research questions. The tool used to collect information in this research is through a questionnaire designed by the researcher in order to identify challenges. In the next step, using experts' opinions, they were modified and then analyzed using the combined approach of ANP and DEMATEL.

The findings of the research showed that in the technical subject of security factor, in the subject of culture the leadership and organizational support factor, in the organizational-human factor of organizational strategy and in the social-environmental topic organizational culture had the most importance from the experts' point of view.

The research results also stated that artificial intelligence will transform the business world, increase innovation and productivity, and help advertising and marketing companies to think bigger. Lack of current knowledge and experience in using this technology is definitely one of the main obstacles that prevent organizations from using artificial intelligence in marketing. But the way and the only answer to this is education. It is worth noting that another factor investigated in the research was the constantly changing trends, which is another major obstacle that we see in the field of artificial intelligence. This is inevitable as the technology is still developing. However, there is no way to solve this problem except for it to constantly present itself. Organizations can use artificial intelligence to improve their products, processes and decision making. The impact of artificial intelligence is felt in all industries, especially marketing. With the help of AI, companies are better equipped to combat crisis by using AI decision-making algorithms, identifying anomalies and predicting future behavior.

Since the land surrounding the city, especially in Iranian cities, is considered as a supporting environment for the city, and at the same time, a large part of Iranian cities are created behind the banks of agricultural lands and natural and human phenomena. Paying attention to determining a suitable direction for the future growth and development of the city is very important. Therefore, the aim of the current research is to find the optimal location of the physical expansion of Sardasht City using the combined Hasse method and the fuzzy network analytical process (FANP) of the spatial information system. 

The method of the current research is practical and analytical in terms of its descriptive nature, in order to achieve the goal of the research, different layers of information, including height, percentage of slope, slope direction, distance from main roads, distance from the city center, distance from areas Forest protection, distance from water sources, land use, distance from waterways and distance from watersheds are included in ARC GIS software and while analyzing them in geographic information system database using FANP, lands It was found suitable for the future physical development of Sardasht City.

The results of the research showed that based on the overlap map obtained, which is the result of fuzzy models and  analytic network process (ANP), the best lands for the future development of Sardasht City are scattered in the south, southwest, northeast and west parts of the city. Also, the most unsuitable parts in this field are scattered in the east, northwest and parts of the west of the city

According to the findings of the research, the completely suitable and relatively suitable floor is located in the south, southwest, northeast and west parts. Unsuitable floors are located in the south end of the city and small parts are scattered in the study area. The completely inappropriate class includes the north, northwest, east and parts of the western areas of the city.

In this research, by reviewing the subject literature and comparative analysis of electronic readiness evaluation models (E-Readiness), a conceptual model was developed to measure the readiness of organizations to accept, use and benefit from information and communication technology. This model includes 6 main criteria (emphasis and commitment of senior management, information technology policies and strategies, specialized aspects of management, development of information technology human resources, information technology infrastructure and information technology-based processes) and 24 sub-criteria related to each of the six main criteria. The validity of this model was done by obtaining the opinion of experts and conducting preliminary validation statistical tests. Then, using the ANP analysis process and the method of pairwise comparisons, and using the Super Decision software, the criteria, sub-criteria and their weighting were evaluated. Further, in the field study, the mentioned model was used to evaluate the preparedness of the studied organizations. The status of these organizations is better than the other fields in terms of top management's commitment to the use of information technology in organizations, the specialized dimensions of management and information technology policies and strategies in organizations. In addition, the organizations do not have a favorable situation in the rest of the fields. But since in terms of the commitment of the top management to the use of information technology in the organization, the policies and strategies of information technology in the organization and the specialized aspects of management have a relatively favorable situation. 

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.

Paying attention to the cultural, economic and social effects of entrepreneurship will determine the role of academics and innovators in the development of society, and entrepreneurship experts will respond to the various needs of society. This research was conducted with the aim of identifying and ranking the dimensions and components of intrapreneurship in the oil and gas drilling industry, the study of North Drilling Company. The current research was conducted by a mixed research method (qualitative and quantitative). To collect data in the qualitative section, 12 university experts in the field of entrepreneurship were interviewed. In the qualitative part, the dimensions and components of intrapreneurship in the industry were identified through interviews and content analysis methods, and then in the quantitative part, the necessary data were collected by ANP paired comparison questionnaires. In this section, standard ANP questionnaires were given to 14 knowledgeable people (experts) of the company, including senior and middle managers of North Drilling Company, and the necessary data for this section were collected. Based on the results of the qualitative section, 5 dimensions, 14 main components and 119 sub-components were identified for intrapreneurship in the industry. The results of ANP also showed that the management dimension is the most important among other dimensions of intrapreneurship. Also, in the internal relations of the sub-criteria, technology in production, human resources management and internal and external policies have the first to third ranks respectively.

The purpose of this article is to model variables and scenarios affecting emergency evacuation during crises such as war and earthquake. The statistical population includes 160 specialists, academic staff and graduate students. The research method is descriptive-analytical. Random sampling method and Cochran's formula was used. Analysis has been done based on Wizard, Any Logic and Anp software. 8 scenarios with a maximum of two incompatible factors are considered for modeling in Any Logic. The more critical scenario obtained from the simulation was selected and the solutions were checked in the Anp software. Previous researches have not explained the simulated scenarios with the scientific method. We have used decision-making techniques and combined them with simulation to select solutions and scenarios. The evacuation time in the fifth scenario is longer than the other scenarios and we considered this scenario more critical. The results of Anp show that the criteria of adding doors and removing obstacles with weights of 0.287 and 0.262 have been ranked the highest. According to the normalized weight in the sub-criteria, in the criterion of time, the escape time in the corridors and stairs (with a weight of 0.65), in the cost, executive dimension (with a weight of 0.608), in the ability to execute, the ability to direct the operation. (with a weight of 0.8), in environmental effects, impact on the public (with a weight of 0.705) and in guarantee of traffic, the status of traffic management (with a weight of 0.756) have been ranked highest.

considering the importance of human resources as the most important strategic resource in an organization and its role in achieving organizational goals, improving employee productivity is one of the most important concerns of managers. The purpose of this research is to prioritize the productivity indicators of human resources in line with the strategic goals of Sarmayeh Bank.

In this research, firstly, using the opinion of experts in the field of human resource productivity, the target model was compiled with the title "Comprehensive model of 5 factors of human resource productivity", and then, using a researcher-made questionnaire, the level of the indicators mentioned in the model was developed. Among the employees of the bank, the capital has been measured and finally, the network analysis method (ANP) has been used to prioritize the indicators.

The analysis of the questionnaire data showed that among the 19 examined indicators, 7 indicators of training and empowerment, job promotion, feedback, motivation, job position, superior rules and regulations, and creativity and innovation according to the employees of Sarmayeh Bank have a lower average. They were of average grade.

According to managers and experts, indicators of leadership, training and empowerment, and organizational competition had the highest priority, respectively, and job challenge indicators, physical and mental condition, and attitude had the lowest priority among the indicators. Therefore, bank managers can speed up the realization of the bank's strategic goals by strengthening the indicators that have a higher priority.

The meaning of BPR is that we overview and breakdown current business process. This method, by using more efficient processes, enables your company to decrease costs and increase profitability.This research has been attempted to evaluate and ranking the indicators which are effective on BPR, in order to improve efficiency of industries by using fuzzy ANP combined methodology. The study population of this research can be classified into two general groups: first group is the masters of university who are expert in BPR, second group is experts working in manufacturing industries. Actually the sampling method in this research is a combination of targeted non-probability sampling method and snowball sampling. Due to the nature of the sampling method, finally the sample volume of this study is equal to 30 person of Experts available and willing to cooperate. Due to the finall analysis and prioritizing criteria, it is visible that “technological and educational factors” with final weight of 0.252; “Empowerment” with weight of 0.177; “organizational culture” with weight of 0.122; has been defined as the most important ANP integrated model criteria for BPR in order to improve the efficiency of manufacturing industries.

The effective selection of maintenance tactics in the industry according to the factors and conditions affecting each of the equipment, shows the need to use innovative approaches. The purpose of this study is to obtain a matrix similar to the TRIZ contradictions matrix so that with the help of this matrix, appropriate maintenance tactics and functional repairs can be selected according to the condition of each equipment. In this study, in order to compare and analyze qualitative data, the , Meta-synthesis method has been used, so for this purpose, various databases, publications and search engines between 1960 and 2022 have been studied. The result of the studies performed using the , Meta-synthesis method is the extraction of 115 valid and related articles. In this research, the relationship between TRIZ principles and operational maintenance tactics has been obtained using the , Meta-synthesis method.The result of this research is the achievement of a matrix similar to the TRIZ contradiction matrix with the ability to provide and select maintenance tactics, corresponding to the parameters affecting each equipment. In order to make the right decision, the final results in each of the matrix cells of this study are prioritized using decision making methods. This matrix assists managers and maintenance specialists in decision-making and increases the speed of decision-making and selection of appropriate tactics. . Finally, the resulting matrix has been studied for evaluation in the National Iranian South Oilfields Company.

Strategic planning is necessary for success and creating competitive advantage in a complex and dynamic environment of today's organizations. Balanced Scorecard is a relatively new tool for planning strategies and implementing strategy. One of the main stages related to the Balanced Scorecard deployment in organizations or companies, is prioritization of strategic objectives in the strategy map. In this paper, prioritized strengths, weaknesses, opportunities and threats of the organization are considered as criteria for evaluating strategic goals. There are different approaches for strategic objective prioritization. In this paper, strengths, weakness, opportunities, and threats were considered as criteria of a decision matrix. Then Fuzzy Technique for Ordering Preferences Similarity to Ideal Solution (TOPSIS) technique, one of the best techniques in Multi-Criteria Decision Making, was used for prioritization of strategic objectives. Using Fuzzy TOPSIS needs to weight of criteria. According to the internal relationships between strengths, weakness, opportunities, and threats, Analytical Network Process (ANP) was used to weight them. Finally, a case study is provided to illustrate the effectiveness of the proposed method.

However, in recent years, with global advances in technology, various industries are using non-renewable energy and creating various pollutions and endangering ecosystems. But green businesses have a lot of potential for creativity and innovation, and given their flexibility, they are better able to respond to environmental changes and new customer needs. Employees can also develop their expertise in new areas. So we decided to find out what factors affect creativity and innovation in green entrepreneurial projects and green businesses? And what is the ranking of these factors? The research method used in this research has been applied in terms of purpose and analytical survey data collection. For this purpose, after studying the research background and with the help of experts and experts in the field of green business and green entrepreneurship after refining the factors, finally 14 factors were identified as central factors affecting the performance of green businesses and green entrepreneurial plans. Then, with the help of Demetel technique, we identified the effective factors and weighed them with the help of ANP technique, and finally, we ranked these factors by Vicker technique. The results of the research indicate that: respectively, support for ideas, implementation of knowledge management, nature of work, investment in research and development, success, organizational learning, motivation, available resources, interest in the relevant field of activity, Identifying the needs of customers in order to obtain targeted ideas, government support laws and policies, linking between research and industry, documenting and respecting intellectual property, access to advanced technologies are ranked one to fourteen.

Imbalance between resources and expenditures, inefficient investment management of available, the need for structural reform and the successful experience of a multi-pillar social security system in some countries, have encouraged this system in Iran. Research aims to identify and prioritize the challenges and impeller forces effective in the implementation of this system and evaluate the resources organization and develop and select scenario. The research modeling was carried out using DEMATEL technique and data analysis done with ANP. The research method is descriptive, and based on a survey of experts that includes 45 social security managers in Isfahan province. The results showed that the most effective challenge group is the "Challenges of Insurance and Retirement" and the "Proximity to The Financial Breakeven Point" is a major sub-challenge. Also, two factors of "sustainable financing" and "interaction of related institutions and organizations" were identified as two forces behind the establishment of this system. By placing these two propellers on the Schwartz matrix, the most probable scenario detected as the Honey free hive.

The aim of this study is designing the integrated framework of strategic planning and policy making in upstream oil and gas drilling sector. In this regard variety of‌‌‌‌‌‌‌‌‌ robust strategies were designed using SWOT matrix and in order to weighting and prioritizeing decision options, all effective factors and parameters were extracted and explained using Delphi technique and pairwise comparison questionnaires. PROMETHEE and ANP decision-making techniques have been used to prioritize strategies. In order to screen and perform pairwise comparisons of indicators, 51 questionnaires obtained by snowball sampling method were used and the validity and reliability of the questionnaires were assessed.The results show that the strategy of maximizing the efficiency of drilling operations and human resources in the North Drilling Company is the most important among other strategies.

The dynamics of the natural environment causes changes in spatial and temporal scales. These changes can lead to morphogenesis processes that sometimes lead to destructive and irreversible effects. One of these changes is the mass movement, especially the landslide, which causes a lot of financial and human losses in different geographic areas each year, resulting in severe erosion of the soil. Shaho area in Kurdistan province and Kamyaran city has been selected as one of the areas susceptible to landslide in terms of its specific topographic and geographical location. n this research, in order to investigate and zoning the susceptible areas of slipping, 8 slope parameters, slope, elevation, lithology, land use, distance from fault, distance from the river and distance from communication were used as factors affecting the research problem. Also, two methods of fuzzy logic and ANP were used to analyze the data and select the optimal location. The results show that the study area has a relatively high slip potential. According to the results of this research, the study area was classified in terms of slip potential in four classes. The degree of slipperiness of the region varies greatly (7.5%), high (27%), moderate (31%) and low (34.5%). Due to the density of rural areas and population density in the area as well as tourist status of the area, it is necessary for the authorities to identify the areas susceptible to landslides to take necessary protective measures and measures.

Selection of appropriate technology is one of the most effective factors in agricultural mechanization. It is unavoidable to pay attention to transfer of technology in parallel with R&D, since there are many difficulties in the agricultural mechanization; e.g. the gap between technical and applied knowledge in the production of new technologies; obstacles in the commercialization and mass production of scientific findings, as well as the necessity of comprehensive macro-planning. In this study, effective criteria and sub-criteria in the process of transfer of technology of agricultural mechanization have been identified and ranked using Demetel method and network analysis. The results show that the degree of effectiveness and efficiency of technology transfer stages, including technology selection and acquisition, adaptation, absorption and application of technology, and technology development and dissemination, are equal to each other. Regarding the selection and acquisition of technology, the choice of supplier and the choice of transfer method have the greatest impact. Also, economic, policy and social sub-criteria and human capital development, guarantees and policies to guarantee goods and market position and credibility have been identified as sub-criteria and criteria. The ranking results show that job creation, compliance with national technological policy and research and development are the most effective criteria in the process of transfer of technology in agriculture.

Green Human Resource Management is a comprehensive approach in todaychr('39')s organization and management, especially in the last decade, which has been met with great success in the scientific and industrial communities. In the Petroleum industry, the use of green human resources has become a strategic tool for achieving sustainable competitive advantage. So, this study intended to identify and prioritize the obstacles to the implementation of green human resource management. An expert questionnaire was used to collect research data. The statistical population of this study included managers and experts with a history of Tehran Oil Refining Company (TORC). The ANP and DEMATEL algorithms were used as research tools. The results showed that individual factors are the main obstacles in the implementation of green human resource management and infrastructural and cross-organizational barriers are also of great importance.

Hospitals need performance evaluation systems for the development and competitiveness of the efficiency and effectiveness of programs, processes and human resources. This study aimed to design an evaluation system for private hospitals using the Balanced Scorecard and network analysis method was used.Hospitals in the study of inferential as is practical purpose. The population consisted of seven private hospitals Guilan province. The sampling method was census. First, a list of performance indicators was prepared with Balanced Scorecard approach. After holding several meetings with experts in the Delphi technique, 16 indicators in four dimensions scorecard as appropriate measures at the entrance to the questionnaire paired comparisons were demonstrated. The software Super Decision Software, based on the geometric mean of the data that was obtained Tuesday by four expert decision matrix Unweighted, weghited and limited offers and the share of each of the main indicators and details with regard to the inconsistency rate of less than 0.1 is calculated.According to the findings of the index rising incomes and increased employee satisfaction has always been considered the most effective measures in all hospitals. The increase in revenue due to the lack of dependence on the state budget and either And trying to maintain quality manpower that could be what attracts customers to the hospital air Can be one of the strategic goals of most private hospitals of the province.This research offers a hybrid approach (ANP-BSC) to further enhance performance evaluation for private hospitals. And this can enhance the quality of decision-making for managers and weak points and ultimately increase patient satisfaction and community action to be followed.