delphi

Due to the increase in global pressures and interests in environmental issues in the last two decades, environmental management accounting has been proposed as a new solution in the field of accounting, which can reduce environmental impacts, provide the environmental performance of organizations and the achievement of sustainability while providing information about environmental issues to those who are concerned in this regard. The current research is a kind of applied studies with a qualitative approach. In the study, After a systematic review of the researches related to the elements affecting the development of environmental management accounting is done by using the content analysis method and presenting the theoretical model of the research, then the Delphi method is used after forming a panel of experts.The research included 21 academic experts, managers and senior experts with expertise, experience or research records in the field of environmental management accounting using a questionnaire tool and during 4 rounds of Delphi to the theoretical consensus of the experts. The results were presented in the form of a conceptual model of the research. Based on the mentioned procedure , there are 3 main factors: 1) factors related to the company, 2) factors related to environmental accounting, 3) environmental laws and regulations of the industry, which through the adoption of strategies such as the development of mechanisms to identify the environmental effects of the company's operations, the development of mechanisms environmental supervision and control, increasing investment in the development of environmental technologies and using new technologies for costing the company's operations, to expand environmental management accounting for clean production in the chemical and petrochemical industries, while promoting accountability environment, provide the grounds for improving the company's social legitimacy and improving the company's environmental performance

Shipbuilding companies need deep knowledge of strategic control in their industry to succeed over their foreign and domestic competitors. Unfortunately, most of them do not have sufficient knowledge of the topics related to strategy and strategic control in their turbulent and complex environment. The present study seeks to produce a theory and model in order to explain strategic control in Iran's shipbuilding industry. The research data were collected through in-depth and semi-structured interviews from 8 managers and experts in the shipbuilding industry. The data collected from open and semi-structured interviews were analyzed by MAXQDA software version 12 and a model was designed which was tested in quantitative stage using Delphi methods and interpretive structural modeling. Using interpretive structural modeling, the most important factors affecting strategic control and the level of effectiveness and effectiveness of factors affecting strategic control in the shipbuilding industry were identified. It was found that strategic control has control levers including restrictive control, control of special awareness, control of customer commitment, effectiveness control, strategic capability control, shared satisfaction control, skills control, strategy content control, political control, task control, cultural control, interaction control, strategy performance control. Effectiveness control and customer satisfaction were identified as the most influential factors in strategic control in the shipbuilding industry.

Considering the importance of recognizing organizational injuries that are very diverse and affect performance and goals at all levels of the organization and cause functional disorders, it is necessary to identify and pay attention to one of these injuries. which should be investigated and paid attention to, the examination and pathology of the appointment of professional managers in Iran's government organizations, in fact, this pathology is the path to the success and stability of government organizations and the compiler of the model of competence, recognizing organizational harms is the most sensitive and It is the most important action, the output of which is to improve the effectiveness of the organization. Considering the importance of the mentioned topic, this research focuses on this category and considering that the review and summarization of the findings of past studies has played a significant role in the recognition and design of competency models, and it has been done with a practical purpose.

In terms of data, the present research is mixed and exploratory, and in terms of the method of research and study, it has been conducted in two forms: foundation data and cross-sectional survey. The number of samples in this study is 235 and to measure the variables of the foundation's data model, a multi-item questionnaire based on the findings of the qualitative section was used and it was approved by experts with the help of Delphi and brainstorming.

Based on the findings of this research, prioritization of indicators, components and dimensions of the pattern of appointment of professional managers of government organizations by interviewing academic experts and experts and with the benefit of Delphi technique, 40 items, 8 components and 2 dimensions were identified. and it was prioritized by the CVR test that "structural", "management", "strategy", "organizational culture" and "human resource management" components respectively have the greatest impact from the internal dimension and "social-cultural" components. "Economic" and "political-legal" respectively, are among the most important disadvantages of the appointment of professional managers in Iran's government organizations from the extra-organizational perspective.

Based on the findings of the research, it can be concluded that all ministries and government organizations of Iran need creative, flexible and responsible people, on the other hand, identifying, attracting and retaining employees with such characteristics is a complex process. And necessarily, human resource management must adapt itself to the norms of the day.

Today, the maximum utilization of human capital for organizations has become inevitable for reasons such as the rapid development of various technologies in response to increasing demand to increase production and reduce costs. Accordingly, in the present study, we decided to identify and prioritize the factors affecting coaching in improving human resource training in the Social Security Organization.

This research is based on the purpose in the category of applied research. The sample of the present study consists of 10 specialists and experts in the field of coaching and training of human resources.

The results of the study indicate the fact that out of 31 variables affecting the role of coaching in improving human resource training, 16 top indicators were identified and prioritized. Based on the results, the role of coaching through the education channel on reducing information and motivational barriers, respectively; The reduction of content barriers and the reduction of structural barriers are in the first to third ranks.

According to the results of the effect of coaching on human resource training in the Social Security Organization is a multidimensional process and coordination between human resource needs assessment processes (reduction of information and motivational barriers), planning (reduction of content barriers) and implementation and evaluation (reduction of structural barriers) Increase the effectiveness of training courses through the channel of the coaching process.

One of the main pillars of employment and business development in each country are the industrial units of that country. Success in building industrial units depends on mechanisms and other factors such as identifying and assessing their risk. Therefore, the model presented in the research is based on a neural network to classify and evaluate the risks of building a traverse plant with a view to technology localization. To identify the risks by Delphi method with the help of experts and university professors in 3 levels of 40 risks, 21 risks were selected. Then, according to the opinions of experts, professors and executives of the construction of the traverse factory, risk factors on the probability of occurrence and severity of risk impact were scored from 0 to 10. The risks were then grouped using Mohlonen's self-organized neural network in the MATLAB software program. The results of the neural network output show that risk factors are classified into 5 groups, the most important of which is the lack of similar experience of the contractor, which is the highest level of radar importance. A noteworthy point in this study is the importance of the risks in group 4, of which 17 risks (over 80% of the risks studied) are in this group. The risks in group 4 are between 60 to 80% in terms of importance, which can be greatly reduced by planning and studying this issue in the construction of new industrial units in the country.

Anti-fragility allows the organisation to place itself in a position to benefit from the unknown. The purpose of this study is to identify and evaluate the indicators affecting the Anti-fragility of the insurance industry supply chain and to determine the causal relationships between these indicators. This study has been conducted through an exploratory mixed-method. The Delphi method and the Gray-DEMATEL technique have been utilized in this study. Insurance companies must implement indices, methods, and mechanisms to promote the anti-fragility of their supply chain, though simultaneous attention to all indices is impossible and uneconomic. Therefore, deciding which indices have priority in investment can be accomplished using the research findings and determining the significance of each index, as well as the causal relationships between them. According to the results of the Delphi method, 49 indices for anti-fragility of the supply chain insurance industry, hereunder the eight main processes, have been extracted. Study results also revealed that in order to lead the supply chain insurance industry towards anti-fragility, the "knowledge and information management" and "risk management" processes should at first be considered. According to expert opinions, the "management information system" and "knowledge management implementation" indices have been selected as the most causal indices of anti-fragility of the knowledge and information management process, while the indices of "risk strategy development" and "using the risk database" have been chosen as the most causal indices of risk management anti-fragility.

In accordance with Simon's decision-making model, this study first tries to identify the key indicators of business intelligence systems as a set of technologies and processes enhancing the quality of decision-making system in organizations. Next, evaluates the existence of causal relationship between the decision stages and the key indicators. To identify the key indicators of business intelligence in each stage of Simon's decision making model, this paper uses Delphi method.Open-ended questions and in-depth interviews were conducted by snowball method with18 experts in the field of development and implementation of business intelligence systems in financial organizations and the final indicators were extracted. The main indicators were identified after analyzing the cause-and-effect relationships between the existing relationships and each stage of the Simon model. This paper uses dematel technique to determine effective and influential relationships and by prioritizing indicators in terms of impact and effectiveness, the results discussed. Finally, executive proposals provided to individuals responsible for development and implementation of business intelligence systems in financial organizations. The findings support that owning a business analysis department in the organization has the most interaction with extracted key indicators. Based on Simon's decision-making model, creating, implementing, and monitoring key performance indicators (KPIs) play a key role in enhancing decision quality in business intelligence systems, For financial institutions, the quality of decisions plays a crucial role in their success in a competitive market. Therefore, the results obtained through this research can be used by those responsible for the development and implementation of business intelligence systems.

This study investigated the criteria influential in determining the construction site of the urban solid waste recycling centers and then determined the importance of each of these indicators. Then, in order to evaluate and rank the candidate locations, a new method based on the Multi Mora technique was introduced.

This descriptive survey is an applied study in terms of its purpose. As such, the required data were collected through a questionnaire. In the first phase, the potential indicators were identified in a library research. Moreover, to determine the weight of the indicators and score the items, the opinions of 14 experts in the field including the relevant executive managers and university instructors were sought.

The results of the study revealed that the three indicators of construction cost, current land cover, and soil cover were the most important ones playing a key role in determining the location of the recycling centers. After the potential locations were evaluated in District 22 of Tehran Municipality as a case study, three places which scored the highest were identified as the optimal recycling stations.

The criteria for locating waste recycling centers are dynamic in nature, and both their nature and weight along with the importance of each of them change over time. To this end, for each new case, relevant managers and officials should consider new indicators, including costs and other new issues, when deciding on a construction site for recycling centers.

The present study aimed to design a mental health model for nurses. This research is fundamental in terms of type and qualitative-field goal. The statistical population of the present study consists of nursing elites. Available samples were used to determine the size of the prototype, which is 33 people. The tool was a researcher-made questionnaire based on a study of the literature on mental health. The three-round Delphi method was used for analysis. Finally, the nurses' mental health model with 24 indicators and two dimensions of behavioral health and structural health was approved and presented.

In today's world, rapid change makes the continued survival and development of the organization dependent on the organization's ability to adapt to changing and highly competitive conditions today. Flexibility in the face of these conditions requires innovation.This research is designed to identify and prioritize the most important factors which affect the innovation of Air Force of the Army of the Islamic Republic of Iran research centers.

The research is an applied research in terms of objective and a descriptive- survey study in terms of of nature and method. In this study, First, the factors affecting the innovation of research centers were extracted from the research background, and then the opinions of 14 experts in order to localize the factors were collected by purposeful judgmental sampling using the Delphi questionnaire. Kendall test and SPSS software were used for data analysis. Finally, the most important factors were ranked by fuzzy dimtel method.

Members intelligence, using human resource according to their ability and establishing an innovation strategy were respectively the most important factors.

Managers and commanders must pay attention to the fact that innovation is achieved primarily through human factors. Accordingly, the priority of soft dimensions over hard factors can lead to faster realization of innovation in the organization.

Coaching is one of the methods of staff training that is used for the growth of human resources. On the basis of the present research to identify and prioritize the factors affecting social security organizations have managed to improve education. This research is in applied research category. The research sample is 16 coaching and training experts. In the next phase of the procedure for considering the uncertainty of Non-rank compared Electre Tuesday to increase the priority was used. Based on the results, reducing information and motivational barriers, respectively; The reduction of content barriers and the reduction of structural barriers are in the first to third ranks. According to the PLS results, if the coaching process index increases by one unit, the training process will increase by 0.849 units. According to the results of the process of the effect of coaching on training is a multidimensional process and coordination between the processes of manpower needs assessment (reduction of information and motivational barriers), planning (reduction of content barriers) and implementation and evaluation (reduction of structural barriers), the effectiveness of training courses The coaching process builds more.

The human resources system is a source of advantage in organizations that these resources must be continuously evaluated to become a real source of advantage. The aim of this study was to identify a model for evaluating the human resource management system with a strategic approach for petrochemical companies. In terms of purpose, this research is applied in terms of qualitative data and in terms of field implementation process. The statistical population includes experts in the field of human resources. Using purposive sampling method, 20 experts were selected by snowball method and the dimensions and components of the evaluation model of the human resources management system were identified in three stages. Data from Delphi implementation were analyzed by Kendall agreement statistical test method. As a result of Delphi implementation, four dimensions and 28 components were identified in order to evaluate the human resource management system with a strategic approach.

Drug policy-making requires proper estimates of drug-related trends. This reveals the necessity of paying attention to future research in this field. In this regard, the present study seeks to investigate the future of the approaches of the Police against Drugs in Khorasan Razavi province. This research is a mixed research of documentary and survey method. Library studies and questionnaires and Delphi techniques were used to collect the data. The statistical population of the present study is all managers, deputies, senior experts and experts of police in Khorasan Razavi province, who are either decision makers or activists in this field, as well as officials of the Presidential Counter Narcotics Headquarters in the said province. Are people. The purpose of this study was to obtain the opinions of 13 experts. In the present study, Delphi and scenario-based methods were used among the future research methods and according to the nature of the research. They were first identified using the Delphi-uncertainty approach that the drug police will face in the future. Then, two key uncertainties are identified and expressed on the basis of binary scenario scenarios.