جستجوی مقالات مرتبط با کلیدواژه « دیمتل » در نشریات گروه « پزشکی »

Waste management is a crucial aspect of sustainable city development due to the increasing population, urbanization expansion, and changes in consumption patterns. The purpose of this study is to identify the waste landfill in Bushehr city by considering the relationships between various criteria using the DANP (DEMATEL-ANP) method.

17 criteria were identified to identify the suitable landfill. The weighting of these criteria was done by DANP integrated multi-criteria decision-making technique. The internal relationships of the criteria and the causal relationships between the criteria were also determined. Then, these weights were multiplied in the spatial layer of each of the criteria in the environment of geographic information systems.

The most crucial criterion for selecting a suitable location for urban landfill is land use, followed by the criteria of distance from residential areas, tourist places, and the road. The study identified and evaluated five locations in Bushehr city as potential landfills based on these criteria. The eastern and southeastern parts of Bushehr city emerged as the most suitable locations for landfill among the evaluated sites.

The DANP model proves highly effective in identifying landfills and offers a framework for addressing issues related to waste landfill selection. This research can serve as a valuable guide for planning and locating waste landfills, providing a basis for addressing both theoretical and practical challenges associated with landfill management.

One of the most important challenges that is considered in process industries to improve performance and increase productivity is the optimization of the incident command system. Incident Command System (Incident Command System) is a standard approach to control and coordinate the management of incidents in the scene. The present study aims to evaluate and prioritize the factors affecting the effectiveness of the Incident Command System (ICS) using AHP and DEMATEL methods in Iran's process industries.

In this research, firstly, a questionnaire was compiled and designed using the AHP method in order to weight the criteria and prioritize them, and a questionnaire was designed using the Dematel method in order to determine the effectiveness and mutual influence of the criteria and sub-criteria. And then the questionnaires were completed by 15 incident commanders and process industry safety officials and crisis management activists working in the oil and petrochemical industry.

AHP analysis ranked ‘command’ highest with a standard weight of 0.256. DEMATEL results showed ‘command’ as the most influential (standard weight of 10.59), effective (11.9), and interactive (21.96) indicator. ‘Standardization’ (1.35) and ‘professionalism’ (1.19) emerged as causal factors, while ‘command’ (-0.50), ‘planning/organizational structure’ (-1), ‘facilities and resources’ (-0.18), and ‘disability index’ were responsive indicators.

Both AHP and DEMATEL methods highlight the significant impact of asset command on the success of ICS in Iran’s process industries. This version maintains the original content’s integrity while meeting the word count requirement.

The success of any organization depends on the expertise and competence of human resources, especially its managers. Competence is defined as the knowledge and skills necessary to perform a job. The current study aimed to rank the competencies of managers based on the competence model of Dolewis and Higgs (2005), which was carried out using multi-criteria decision-making techniques (combined method of Dimtel and network analysis) in public hospitals of Yazd province.

This inductive approach research was carried out quantitatively during 2021 to 2022 in public hospitals of Yazd province. In this study, multi-criteria decision-making techniques were used including the combined method of Dimtel and network analysis. The statistical population was a group of human resources experts and senior managers of public hospitals in Yazd province. Sampling was done first by judgment and then by snowball method and through the introduction of experts and based on the possibility of access to them, and 15 experts were selected as a sample. After extracting the data from the experts' questionnaires, Dimtel method was used to evaluate the relationships between the indicators.

In the current study, according to the experts’ opinions, the competence model of Doleviz and Higgs (2005) was considered, which included three managerial, personal, and intellectual dimensions. The dimension of managerial competence included components of success, empowerment, development, engaging and effective communication, resource management. The dimension of intellectual competence included components of judgment and critical analysis, perspective and foresight of strategic views. The dimension of personal competence included components of self-awareness and emotional resilience, intuitive understanding, interpersonal sensitivity, influence, motivation, and conscience. Based on the results of the super matrix of network analysis, the weights of competence in order of priority included managerial, intellectual, and personal competence. In managerial competence, the component of resource management, in personal competence, the influence component, and in intellectual competence, the components of foresight and perspective were more important.

In order to be more successful in achieving future goals and perspective, hospital managers should strive to strengthen their competencies, since improving the competence of managers helps them in effective use of resources, better response to clients, and achieving goals, in accordance with the accreditation standards of public hospitals in Yazd province

COVID-19, which appeared in December 2019, has impressed the whole world. The corona virus had far-reaching effects on all health care systems and has had a direct impact on almost all areas of human life in all countries of the world, which has led countries to take various public and social health measures. Making decisions during the coronavirus pandemic has numerous challenges. In this study, a multi-criteria decision-making method called DEMATEL was used to identify and prioritize effective interventions in the control of the COVID-19 pandemic.

 Effective interventions to control COVID-19 were identified using literature review, and these factors were then ranked employing DEMATEL. Furthermore, three experts specialized in DEMATEL methodology were requested to rank 21 influential factors identified based on the relative importance.

The results of this study showed that prompt and timely public health measures (20/238), home quarantine for patients and carriers (20/130), appropriate patient tracking with the implementation of Shahid Soleimani plan (19/383), the availability of health services and social services during the quarantine (19/239), and educational interventions regarding public acceptance of the vaccine (19/161) are the most important effective interventions in controlling the COVID-19 pandemic.

The results of the study showed that 21 interventions were effective in controlling the COVID-19 pandemic .According to the identification and prioritization of effective interventions obtained from this study, using DEMATEL method, it is possible to control coronavirus infection in the community with high accuracy.

Workplace safety and protecting human resources and other resources is an important concern in the industry. Workplace accidents leads to damages to employeesand affect business operations for a variety of reasons, including absenteeism, loss of productivity, and increased production costs.One of the most dangerous industries in the world is the electric power industry, and electric power has been identified as the fifth factor in terms of work accidents.The purpose of this study is to identify and classify the factors affecting safety in power distribution companies and determine the relationship between them.

Based on previous studies, 14 indicators affecting safety were identified in three dimensions: organizational, technical and human. Using the questionnaire, the rational relationship between the indicators is quantified and then by combining DEMATEL and ISM, the influencing degree, influenced degree, centrality and causality between the indicators calculated. In order to systematically analyze the relationship between the indicators, a hierarchical model was drawn using ISM method; and based on the power of influence and dependence of indicators, MICMAC diagram was drawn. According to the resultant model, relationship between indicators were analyzed systematically.

Top management commitment and safety standards, rules and regulations indicators have the most power to influence other indicators and have a causal role; risk identification and control, contractor and supplier management, incident analysis, safety audit, Personal protective equipment, control and supervision, health and first aid, emergency response, safety training, communication, understanding the needs and expectations of employees and other stakeholders, and developing a safety culture are effective indicators.

This paper in addition to introduction of theoretical basisfor safety influencing indicators in power distribution companies and investigating their relationships, has proposed practical suggestions to prevent accidents and improve safety in power distribution companies.

Drug supply chain management is recognized as one of the main factors influencing the performance of the health sector. The aim of this study was to prioritize factors affecting sustainable drug supply chain management in pharmacies of teaching hospitals affiliated to Iran University of Medical Sciences.

This applied, cross-sectional study was performed by using Delphi and fuzzy Demetel methods. To identify the factors affecting the management of sustainable drug supply chain in the pharmacies in question, a questionnaire was designed based on the supply-chain operation reference model and was distributed among experts to collect their opinions. The sampling method was purposeful. In the next step, fuzzy Delphi method was used to identify the main factors and then, fuzzy Dimatel method was applied to determine and rank the Cause and Effect actors.

According to the findings, 23 factors were identified in five dimensions(reliability,accountability, flexibility, costs and asset management). The factors consisted of 6 exogenous and 17 endogenous factors, 10 of which were Cause factors and 7 were Effect factors.

The most important factors identified in the present study were related to asset management and the highest number of factors were pertinent to accountability, indicating the poor response of the management system of the studied pharmacies. Therefore, addressing these two dimensions is more recommended in the management of pharmacies.

Supply chain risk management is very important for effective supply chain management. In the meantime, the healthcare supply chain and its risks need more attention given its important mission. Concerning the sensitivity of blood and its supply chain, the purpose of this study is to investigate the risks of the blood supply chain and their relations in Tehran.

In this descriptive-analytical study, the risks of blood supply chain were selected by reviewing the articles and expert opinions through interviews and questionnaires. The most important ones were identified using risk matrix and expert opinions, and their relationships were discussed using DEMATEL method.

The 19 most important risks were identified. Also, according to the Demetel method, it was shown that in terms of the importance of risks (D + R), selection of inappropriate suppliers (2.25), lack of appropriate budget allocation (2.23), low employee productivity (2.16) and inadequate blood inventory (2.01) were identified as the most important risks. In terms of mutual influences (D-R), economic and political sanctions (1.68) were selected as the most influencing and inadequate response to hospital demand (-0.89) as the most influenced risk.

After identifying the risks that are both significant and most influencing, such as the risks of lack of appropriate budget allocation, sanctions, exchange rate fluctuations, and catastrophes, in order to improve supply chain performance and prevent future problems, the factors that cause these risks need to be focused. And for controlling them, appropriate strategies, especially management strategies should be adopted.

Observance of Health, Safety and Environment (HSE) guidelines is becoming more pervasive in all organizations, and governments and regulators are becoming more strict on it. The onset and prevalence of Coronavirus disease (COVID-19) is an example of a lack of attention or disregard for such standards and guidelines. Adherence to such standards is much more important in all organizations, especially in health-oriented organizations such as hospitals, and they increases safety and improves the efficiency of hospitals and the community (environment). Because health and safety factors are closely related to ergonomic factors (E), attention to this factor has led to the evolution of HSE and the emergence of HSEE. Much research has been done on HSE management, related evaluations, and other related issues, but due to the novelty of HSEE, such models have rarely been researched in HSEE. Also, in previous models, the weight of all factors was considered the same, and the evaluations were practically turned into checklists. While in any organization or in any situation, the importance of observing some factors may be more or less than others, and at the same time the ergonomic factor should be considered in this model. The purpose of this study is to provide a quantitative model for measuring the performance of organizational units based on the observance of the usual HSE criteria and consider the ergonomic factor (HSEE). Numerous studies have shown that ergonomics play a major role in increasing human performance in all areas. Developing such a model can lead to more accurate information to managers and their better decision-making in order to reduce harm in the organization and in the organization environment. It will also provide more accurate feedback to the organizationchr('39')s units for self-assessment and calculation of any points for them, and ultimately ranking the units. 

Since the result of this research is a model that can be used in practice by organizations (especially hospitals), this research is an applied research. It is also a descriptive study because it explores the current situation and tries to describe and clarify it and present the result in the form of a quantitative model. Finally, because the data in this study is collected through a questionnaire, it is a survey study. In the first phase, studies related to the HSE and HSEE models were reviewed. In each model, the main variables (health, safety, environment and ergonomics) were collected along with the following variables for each. Then, by combining them into one large model, all variables entered the model and overlaps were eliminated. Because this model is made for a hospital, the variables were redefined based on the characteristics of the hospital and the model was modified. Finally, a model including the main variables of safety, health, environment and ergonomics and 12 sub-variables were designed and based on it, a research questionnaire was developed. To calculate the reliability of this questionnaire, Cronbachchr('39')s alpha method with 11 samples were used. This sample was selected by emphasizing on peoplechr('39')s familiarity with HSE and HSEE models. The alpha value was calculated to be greater than 0.8 and the reliability of the questionnaire was confirmed. In order to discover the relationship between the 4 main factors and 12 sub-factors, the DEMATEL method with 8 samples was used. DEMATELchr('39')s method is a well-known method used to models whose variables are not independent of each other. Using the initial classification of factors as well as HSE(E), the decision tree was designed based on ANP method and also the weight of the indicators was obtained. The ANP method is a method based on pairwise comparisons and a subset of multi-criteria decision-making (MCDM) techniques used to discover the weight of criteria simultaneously with ranking alternatives. Because each of the ANP and DEMATEL questionnaires requires a lot of patience and concentration, the YungLan method was used to combine DEMATEL and ANP. In this method, the data collection is required only once by the questionnaire and this data is reused in both models. At this stage, the weight of 12 factors was calculated and the research model was completely architectural. The designed model was implemented in ArabNia Hospital in Qom. The goal is to determine how well each of the eight units in the hospital complies with HSEE. Qom ArabNia Hospital is the first hospital in Iran in which patients with COVID-19 were quarantined in February 2020. Because there was no information on how well each of the HSEE components were observed in the hospital, a simple questionnaire using the Likertchr('39')s spectrum was designed to collect this information. This questionnaire was published in a total of 8 units and 11 questionnaires were completed. This data was entered into the model as input, and after analysis, hospital units were ranked based on compliance with safety, health, environmental and ergonomic criteria.

The most important achievement of this research is a quantitative model including 4 areas of safety, health, environment and ergonomics with 12 sub-variables. The results showed a correlation between the main domains as well as the research variables. Identifying these connections revealed that the decision hierarchy is network type and the model governing the problem is ANP type. However, in some research the AHP model was used for this purpose. The premise of this model is that the variables are sufficiently independent of each other, which was rejected in this study. The results of using this model in ArabNia Hospital in Qom also showed that ergonomic factor has the greatest impact on other macro factors, and employee factor has the greatest impact on other 11 sub-variables of research. This model was used to evaluate all 8 units of the hospital. The goal is to determine how well each of these units complies with HSEE. If there is data related to the observance of each sub-variable by each unit in the hospital documents, the relevant data can be entered into the model and after analysis, the amount of HSEE observance by each unit can be determined. Because many cases are not recorded in organizations, access to the necessary data is not possible through the hospitalchr('39')s databases. Since the organizationchr('39')s staff are the only ones who have a lot of data and metadata in their mental history (albeit to some extent, vague and erroneous), a questionnaire was used to solve this problem. For ease of response, the Likert range was used in qualitative measurements. This questionnaire was distributed in 8 units and 11 questionnaires were completed and received. The required data were analyzed by the research model and 8 hospital units were ranked based on HSEE compliance. The results showed that, firstly, the weight of each of the 12 factors of the HSEE model is not the same, and secondly, there is a relationship between them, and finally, the ranking of the units is not the same.

The findings of using the research model in ArabNia Hospital in Qom proved the power of model differentiation. Using the results obtained in this study, the extent to which each of the components of the HSEE model is affected and different from each other. The use of the model in ArabNia Hospital in Qom showed that the medical, financial and administrative equipment units are ranked first to third in the field of HSEE, respectively. With the development of the HSEE measurement model, including the determination of indicators, sub-indicators, their relationship and the weight of each of them, it was found that the weight of the employee invoice is higher than other sub-factors. This study provides a framework for measuring hospital performance in terms of HSEE compliance. This model can be used in other hospitals as well. The point to keep in mind is that it is necessary to recalculate the weight of the variables and sub-variables, which is very simple. This model can also be used in other organizations. Provided that all sub-variables are redefined in accordance with the same organization and replaced in the model. It should be noted here that the main foundation and architecture of the model is fixed, but due to the difference in the nature of organizations, such a change in the details of the model is necessary. Also, the relationship between the factors and their weight must be recalculated. The results of this study are consistent with many studies conducted in the field of HSE. Including the fact that the human factor is very important in establishing HSE in organizations and complying with the relevant rules and regulations. The difference between the model presented in this study and other research is that the relationship between the factors in this model is considered. Although this is not explicitly stated, the use of AHP in some studies is due to the fact that independent HSE variables have been considered and the relationship between them have not been considered. Some recent research has shown that the combination of  DEMATEL and ANP has been used in the HSE model, which indicates an increase in accuracy in such research. However, ergonomic factors are absent in these studies. In the present study, an attempt has been made to pay attention to all these aspects.

The doctor-patient relationship is built largely on trust. It is in the shadow of trust that the patient can safely transfer all necessary information to the physician, which makes it possible to diagnose and treat medical treatment. The aim of the present study is to identify, prioritize and determine the causal relationships of factors affecting the patient's confidence in the physician.

The present study is applied in terms of purpose, and is descriptive-survey in terms of data collection. The statistical population is the experts who were selected by snowball sampling method. The Dematel method is used to determine the relationships and the ANP method is used to prioritize the criteria.

The results of this study showed that in the main criteria of the factors related to the physician in his/ her self with a normal weight of 0.422, has the highest priority and according to the sub criteria, the patient's knowledge of the skills and experience of a physician in the first priority has it. Also the factors related to the patient in his or he self-have the most impact and the factors related to the patient on the other side has the most impact.

The criteria of faith, duty, competence and mastery of the doctor, accountability and predictability of the physician, and the observance of ethics by the physician are factors that have the greatest impact on the patient's trust in the physician and the consideration of these factors can play an important role in promoting trust the patient to the doctor.

In order to succeed in today's world, one has to adapt to a reality called change. Therefore, managers can be a screener who defines environmental events in a specific way, and this is one of the important aspects of the organizational change process. The recent study is aimed to present of the formation pattern of entrepreneurial managers mental models in Mashhad educational hospitals.

The research is practical in terms of purpose, and reconnaissance nature with mixed approach. The 12  academic expertise  and hospital managers was participated by snowball technique to achieve theoretical saturation and the Indicators of Mental Models of 225 Managers' opinions was investigated based on murgun table. The method of the present study is qualitative-quantitative using fuzzy Delphi and Demetel Delphi method.

this research showed that the study showed that the sociology as the most influential, the skill the second influential variable and the personality had the least impact on other variables. The variables associated to each respectively of impact were for sociological, educational system, social incentives and role model. For the skill, success need, internal control center, predictive power, risk taking, tendency to creativity and innovation and for the personality, negotiation power, team building skill, planning ability, business management, decision-making power as the most important parameters.

Conclutions:

 The predictive power as the most effectiveness and tendency towards creativity and innovation as the most influential variable were on other variables.

Todays, the improvement and optimization of the safety performance are essential and important for control and prevention of accidents in the industry. The purpose of this research was to assist a hybrid cycle power plant for identification and prioritization of the influencing factors in enhancing safety in order to reduce risks and to improve system performance.
Material and In this descriptive-analytical study, influencing factors were classified within three main categories of human, equipment, and managment, and 14 sub-factors was screened and selected by experts using Fuzzy Delphi method. Then, fuzzy DEMATEL method was adopted to determine the relationships, the intensity of affecting and being affected factors, and the analytical network process method for weighting and prioritization the factors. The findings of the fuzzy DEMATEL method showed that “Managerial”, “equipment” and “human” factors are respectively influencing factors on the improvement of safety performance. “Managerial factors” is the most influencing and “Human factors” is the most influenced one. Based on the results of fuzzy analysis network process method, “human factors” is the first priority among the main factors, and “employee motivation”, “system of control and prevention”, “work team spirit”, “individual skills” and “Individual protection equipment” sub-factors are respectively the first to fifth priorities were according to their weight. “Human factors” re the most influenced factor and the main problem of the organization, which can be improved by the most influencing “managerial” factor. The success or failure of the safety performance in the power plant depends on better management of the “human factors” and managers need to motivate employees to improve safety performance.

The recognition of a system failure causes and their related factors are considered as the most important factor in preventing accident occurrence in different organizations including industries. Human error is a known important factor in unpredictable events of which cognitive factors are the most influential ones. The purpose of this study was to introduce a new model for individual cognitive factors influencing human error as well as determining the interactions between the factors and their intensity using DEMATEL approach. First a qualitative study was performed in order to identify and elicit the individual cognitive factors influencing human error among the workers of different industries. To ensure the adequacy and comprehensiveness of the elicited factors, then, the experts’ opinion was applied. DEMATEL method was used for understanding the interactions among the individual cognitive factors influencing human error. Finally, using these relationships, a new model of the study was proposed. Calculating D-R and D+R relating to the factors in terms of being cause or effect factor, D-R was -1.213 for C5 as the highest negative value, and D+R was 2.294 for the same factor (C5). Also, threshold level was calculated as 0.087 in the current study In this study, the factors of failure in problem solving and decision making (C5) and difficulty in predicting possible hazards in the workplace are effects and the other factors were the cause factors. The factor of C5 was the highest interactive factor.