The purpose of this study was to design a model of servant organization based on the knowledge of academic experts using FUZZY DEMATEL technique. To do this, after identifying the six main components of the servant organization from the literature of research (motivation for service, service-oriented approach, service oriented actions, environmental demanding, serving leadership and service environment), and their inclusion in a five-point Likert scale closed questionnaire, we identified 10 experts and distributed questionnaires among them. Their views on the importance of these components in the servant organization are to be taken into account. Before analyzing the collected data, we made sure of content validity and reliability of the questionnaire. Subsequently, a questionnaire adapted to DEMATEL technique was developed to discover the causal relationships among the components. The results of the FUZZY DEMATEL analysis showed that the most effective and fundamental component of the servant organization is the motivation for service. In addition to this component, service oriented actions and environmental demands were also identified in the model as the cause and the rest of the effect.

Purpose: This paper aims to propose an approach for identifying and prioritizing ecosystem indicators for effective ecosystem management. Specifically, FUZZY Delphi and FUZZY DEMATEL approaches are used to define ecosystem management goals and indicators, rank the importance of quality attributes in ecosystem management, and rank the effectiveness of each indicator in each pillar of ecosystem management. The ultimate goal is to provide a tool to decision-makers that can help in allocating resources more effectively and efficiently toward achieving sustainability. Design/methodology/approach: The proposed approach involves a three-phase framework. Phase 1 involves identifying and determining the indicators affecting ecosystem management. This has been performed by studying theoretical articles, reviewing systematic literature, and searching previous studies to identify different indicators for each pillar of ecosystem management. A list of indicators and factors affecting each of the pillars of ecosystem management has been determined accordingly, and an initial categorization has been created using library studies. Phase 2 involves using a FUZZY Delphi method to rank the most important indicators in each pillar of ecosystem management. Experts have been asked to indicate their proposed indicators in a questionnaire based on FUZZY variables, and the degree of proportionality of the proposed factors. Phase 3 involves using a FUZZY DEMATEL approach to rank the effectiveness of each indicator in each pillar of ecosystem management. This approach handles imprecise or subjective data and can be replicated for different cities. Overall, this methodology aims to provide a comprehensive approach for identifying and prioritizing ecosystem indicators that can be used by decision-makers in environmental management and policy-making. Findings: Findings imply that the integrated approach of the FUZZY Delphi Method and the FUZZY DEMATEL can be used to identify and rank the importance of quality attributes in ecosystem management, and to rank the effectiveness of each indicator in each pillar of the ecosystem management. A total of 36 indicators were identified across four pillars of ecosystem management, i.e., economic, social, environmental and institutional. The results indicated that the most important indicators for each pillar were science and technology and innovation for the economic pillar; air quality, waste treatment and energy efficiency for the environmental pillar; poverty, health, and safety and security for the social pillar; and transparent sharing of information and political stability for institutional pillar. It was also found that there was a strong interrelationship between different pillars of ecosystem management. For example, the institutional pillar had serious effects on most of the other identified EM pillars. In addition, the economic pillar was the second most influential factor. Moreover, the institutional pillar profoundly influenced the environmental pillar. Finally, the economic pillar highly affected the environmental pillar, which doubled the complexity of ecosystem management. Research limitations/implications: Several limitations and implications have been addressed for future research. The number of participating experts was limited, which could affect the results and limit the possibility of their summarization. Expert bias may have influenced the results of the study. Such limitations imply that further research with a larger and more diverse group of experts is necessary to validate and expand upon such findings. This study was limited in scope to a particular ecosystem or region and the identified indicators as a result may not apply and be generalizable to other ecosystems or regions. Based on the cause-and-effect relationships between the studied elements, a hypothesis can be expanded and validated using a larger sample. Future studies could replicate this methodology in different contexts to test its applicability and effectiveness. Practical implications: Decision-makers in environmental management and policy-making can use the methodology presented in this study to identify and prioritize ecosystem indicators. By using an integration of the FUZZY Delphi Method and the FUZZY DEMATEL, decision-makers can identify the most important indicators for each pillar of ecosystem management and evaluate their effectiveness. This information can be used to allocate resources more effectively and efficiently toward achieving sustainability. Decision-makers could use this methodology to evaluate different ecosystem management practices and policies, and develop new policies or modify existing ones to better address the needs of different stakeholders. Overall, this study provides a useful tool for decision-makers in environmental management and policy-making by providing a comprehensive approach to identifying and prioritising ecosystem indicators. Social implications: This study highlights the importance of considering social factors in ecosystem management. The study identifies several social indicators, such as poverty and material deprivation, education level, public awareness and training, gender equality, and social participation. By prioritizing such indicators in ecosystem management, decision-makers can ensure that the needs and perspectives of different stakeholders are taken into account. This can help to promote social equity and cohesion, which are important for achieving sustainable development. Furthermore, by involving a wide range of stakeholders in the decision-making process, including local communities and marginalized groups, decision-makers can ensure that ecosystem management policies are more inclusive and responsive to the needs of all members of society. Overall, this study highlighted the importance of considering social factors in ecosystem management and provides a useful framework for identifying and prioritizing social indicators. Originality/value: The main contribution of this study is the application of the integrated approaches of the FUZZY Delphi Method and the FUZZY DEMATEL to identify and rank the importance of quality attributes in ecosystem management. This methodology is innovative because it allows decision-makers to handle imprecise or subjective data, which is often encountered in ecosystem management. The study provides a three-phase framework for identifying and prioritizing ecosystem indicators, which can be replicated for different cities. Findings indicated that science and technology, air quality, poverty, and transparent sharing of information were identified as the most important quality indicators in their respective pillars of ecosystem management alternatives. This implies that decision-makers and policymakers should consider allocating more resources toward improving such areas. Overall, this study provided a useful tool for decision-makers in environmental management and policy-making by providing a comprehensive approach to identifying and prioritizing ecosystem indicators.

Is known so in order to stopping Iran's activities in nuclear energy colonial governments many sources were used. one of the tools are sanction against Iran. Recently European governments and American were to seriously review and discussion is sanctioned by the central Bank of Iran. About the management of such decision the research the possible effects banking sanctions looked history of research and also according to the comments intelligent identified and with using method FUZZY DEMATEL important cases and their deep has identified and has prioritized. Results Obtained Shows Seven factors are Effective and eight operating are reception. Respectively of damages effective are: Exchange rate, problem to open credit, creation problem to get resources currency, difficulty to trips of business, increase risk to resources of bank, increased cost and talking time and transactions and reduction public trust to banking system. The end with target applied to research and empowerment management deal with factors of effective are ways were presented.

Despite increasing attention to human resource area of research as a value generating asset, managing its risks have not been studied systematically. In this study a quantitative approach for analyzing and assessing the human resources risks has been adopted. First, the multiple dimensions of human resource risks and their components were identified through semi-structured interviews with experts of human resources field in one of the major organizations in the power industry. In the next step, five criteria were presented to analyze the risks and causal interaction between the human resources risks as one of the criteria of analysis were identified using FUZZY DEMATEL technique. In the final step, the estimated level of risks were compared according to analysis criteria and human resources risks were ranked based on the five given indicators using FUZZY Similarity Technique. The results showed that human resource operational risks have the greatest total effect both given and received in the network of interrelationships among risks and have the highest priority based on analyzing criteria compared to other four main areas of human resource risks.

Background Sustainable business ethics is one of the most important organizational issues. The lack of understanding and commitment to the observance of the indicators can cause a variety of negative psychopaths’ consequences during the time. In this regard, this study has tried to identify indicators of sustainable business ethics and determine the degree of their importance using FUZZY TOPSIS technique and explore the network of causal relationships and degrees of influence and impressionability of these indicators using the FUZZY DEMATEL technique. Method This study is applied in terms of objective and is descriptive in terms of obtaining data. Population of the study includes all experts and faculty members. Among all, 5 experts were selected by meaningfully sampling. Data were collected by questionnaire. After identifying sustainable business ethics indicators from the literature and expert opinion, FUZZY TOPSIS technique was used to prioritize them and DEMATEL FUZZY technique was used to determine causal relationships between these indicators. Results Of the eight indicators of sustainable business ethics (social responsibility, social values, Introspection and inner purification, cultural competence, moral ideals, Spiritual ideals, social competence and moral integrity), the first four indicators, in order of priority, were detected as the major indicators. Also, it was found that most impressionable indicator among other indicators of sustainable business ethics, cultural competence, and opposite it, respectively are social values and social competencies. Conclusion Result of the study demonstrates that social values and social competencies effect on other factors. Therefore, in order to improve indicators of sustainable ethics, business ethics should be integrated with managerial efforts and with more investment to qualify social values and competencies.