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Organisations are having difficulty in determining and integrating Industry 4.0 technologies (I4.0T) to improve social dimensions of sustainable performance. We address this issue by showing how to identify the impact degree and path of I4.0T using the United Nations sustainable development goals (SDGs). First, we identify the SDGs associated with I4.0 and establish an evaluation framework. Second, we introduce an evaluation method that integrates hesitant fuzzy sets, rough sets, decision-making, trial evaluation laboratory (DEMATEL) and interpretative structural modelling methods to identify the impact degree and path of I4.0T on SDGs. Third, we confirm the effectiveness of our framework and method using secondary case data from World Economic Forum reports. The case results show that I4.0T have varying direct and indirect influences on SDGs. Policy makers should consider that 'Big Data and Analytics' and 'Cloud Computing' are central I4.0T that link other technologies and SDGs. The prioritisation of I4.0T can lead to contributions to addressing 'Responsible consumption and production' and indirectly improve SDGs. The findings set an initial stage to help sequence investment in various technologies depending on SDGs. We identify sequential paths that can aid in planning for and investing in adopting I4.0T to better achieve SDGs. [ABSTRACT FROM AUTHOR]

Carbon neutrality and resilience are two of important goals pursued by supply chains today. This study seeks to determine how carbon footprint reduction (CFR) can be achieved in a resilient supply chain from a process integration perspective. Based on contingency theory, we employed the decision-making trial and evaluation laboratory (DEMATEL) approach to examine the critical influencing factors of process integration using evaluations from academic and professional experts. Our findings reveal that, first, at the strategic level, supply chain collaboration (SCC) and supply chain agility and responsiveness (SCAR) have the highest contributions to process integration. Second, process and control risks have the highest contributions in supply chain risk management; herein, collaborative planning, forecasting, and replenishment (CPFR) holds the highest contribution in the SCC, visibility and velocity have the highest contributions in the SCAR, and supply chain efficiency holds the highest contribution in supply chain flexibility (SCF). Finally, CPFR has a significant influence on both supplier and customer engagement, with supply chain intelligence influencing customer engagement in the SCC. Both the standardisation and parallel processes influence supplier spending in the SCF. These findings provide a new conceptual framework for empirical research and an action plan for supply chains to pursue carbon neutrality. [ABSTRACT FROM AUTHOR]

This study presents a comprehensive framework for understanding the key opportunities and barriers in implementing Industry 4.0 (I4.0) in Tunisian medium-sized enterprises (SMEs), using MICMAC (Matrice d'Impacts Croisés, Multiplication Appliquée à un Classement) and DEMATEL (Decision-Making Trial and Evaluation Laboratory) methodologies, supported by a literature review and expert consultations. Both methods identify crucial opportunities such as digital collaboration and real-time information, along with barriers like under-utilization of academic knowledge and insufficient leadership commitment. While MICMAC emphasizes risk management, not fully recognized by DEMATEL, both converge on similar barriers with nuanced prioritization. Comparing these findings with existing literature highlights commonalities and differences in opportunities and barriers. The study underscores the importance of integrating sustainability and cost reduction into I4.0 frameworks and suggests incorporating technological readiness, leadership support, and innovative business models. For practical implementation, decision-makers should invest in advanced manufacturing technologies, foster collaboration with technology providers, and initiate pilot projects. Enhancing operational agility and efficiency through integrated digital platforms and adaptable systems is essential. Addressing barriers involves securing management support, improving technical expertise, managing resistance to change, and boosting research and development efforts. [ABSTRACT FROM AUTHOR]

The evaluation and optimization of product design schemes are complex multi-criteria decision-making problems characterized by their interdisciplinary nature and strong practicality. The evaluation of product design schemes is an important part of the product development process. Whether the optimization results are reasonable is key to subsequent product developments, and can even determine their success or failure. When optimizing product design schemes, to ensure rational decision-making, and reduce subjectivity and uncertainty in the design process, in this paper, a product design scheme evaluation and optimization method that uses DEMATEL_ANP_VIKOR is proposed. First, the influence relationships among indices are determined by a policy test and experimental evaluation (DEMATEL) method. Then, the network structure is constructed by using the analytic network process (ANP), and the weight of each index is calculated. Finally, the multicriteria compromise solution ranking method (VIKOR) is used to obtain the best ranking of candidate schemes, and the best product design scheme is identified. By using this method to prioritize the four design schemes of the pantilt camera, it is determined that V3 > V1 > V4 > V2, where V3 is the optimal solution. The entropy-weighted TOPSIS method is used to verify the design scheme, and V3 > V1 > V2 > V4, where V3 is the optimal solution. The Shenzhen Xiechuang Data Group began product development on the final selected design Solution 3. The physical pantilt camera products have been sold on the market and have achieved good sales results. A consumer satisfaction survey of the product showed that consumer satisfaction increased by 12.3% compared to that of previous products, and 7.8% compared to that of similar products. These optimal design scheme market achievements have demonstrated the scientific and objective nature of using DEMATEL_ANP_VIKOR for evaluations and optimizations of product design schemes, and it has useful auxiliary functions for product development. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the role of the illusion of conspiracy among auditors using the Dematel method. To delve deeper and gain a better understanding of the subject, in addition to theoretical foundations, interviews have been used for further comprehension. Then, quantitative approaches are employed to validate the qualitative results. This study adopts a mixed-method approach. As the research is primarily based on qualitative methodology, particularly employing the grounded theory strategy. The temporal scope of this study spans from the year 1399 to 1402. The statistical population in the qualitative section comprises independent auditors in the auditing organization. In this research, semi-structured interviews have been used to uncover deep insights for identifying indicators of the illusion of conspiracy. Sampling was conducted using snowball sampling technique, comprising 12 main themes and 40 sub-themes. The quantitative section utilized the Dematel method. The statistical population in this aspect consists of all official accountants in Golestan province. The sample includes official accountants with a minimum of ten years of experience and at least a master’s degree. Twenty individuals were selected as the sample. Dematel, utilizing expert judgments in extracting system factors and systematic structuring, presents a hierarchical structure of factors within the system along with their interrelated effects. To achieve this, a fuzzy Dematel questionnaire was designed, and provided to experts, and ultimately, the intensity and relationships between the illusion of conspiracy among auditors and its significance were examined. [ABSTRACT FROM AUTHOR]

In the context of mines, roof-caving incidents constitute the most common and expensive accidents. To enhance the management and prevention of roof-caving accidents, it is imperative to investigate the factors that contribute to such incidents and comprehend the intricate causal relationships among them. This study aims to classify the causes of these accidents into three categories: basic factors, controllable factors, and sudden factors, based on the mechanism of roof caving. The categorization is primarily determined by two indicators: intervisibility and variability. Furthermore, the study delves into analyzing the mutual influence relationships among these factors and proposes the BCX theory (Basic-Controllable-Sudden causing theory) for roof caving. Subsequently, based on this theory, an index system called BCX is established for roof caving, and the DEMATEL method is employed to analyze the factors within this index system. To attain more accurate results, this study utilizes interval trapezoidal type-2 fuzzy number scale optimization and Tsallis relative entropy to address the limitations of the DEMATEL method. By comparing the outcomes of the traditional and optimal DEMATEL methods, it is observed that the optimal method exhibits superior applicability in the BCX index system of roof caving, with results that align closely with the actual scenario. Therefore, the optimal DEMATEL method's analysis of centrality, importance, and chain relationships between the factors within the BCX index system will offer valuable guidance for preventing roof-caving accidents in mining operations. [ABSTRACT FROM AUTHOR]

Purpose: The objective of this study is to investigate the concept of "earthquake resistance" in high-rise buildings and assess the current level of structural strength in the areas where these structures are situated. The study aims to identify and implement necessary measures to enhance resilience in these areas. A comprehensive literature review was conducted to develop a conceptual framework focusing on earthquake resistance's meanings, stages and physical elements to achieve these goals. Design/methodology/approach: This study focuses on Istanbul, a city known for its high earthquake risk, specifically targeting the Atasehir district. The research utilizes the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method to evaluate urban resilience parameters. Additionally, the Fuzzy TOPSIS (Preference Ranking Technique by Similarity) method is employed to analyze the location of five buildings in Atasehir, using criterion weights derived from this methodology. Findings: The findings indicate that resilience varies depending on the distance of the buffers. Moreover, the amount and quality of urban equipment in the study areas have a significant impact on the earthquake resistance level of the surrounding areas where high-rise buildings are situated. Building upon this analysis, the study suggests the implementation of measures aimed at augmenting the quantity and quality of urban facilities in the study areas, consequently enhancing urban resilience. Originality/value: The originality and value of this study lie in its examination of seismic resilience within the context of high-rise buildings and the identification of necessary measures to increase resilience in areas where these structures are prevalent. By focusing on Istanbul, a city with a high earthquake risk, and specifically selecting the Atasehir district as the study area, this research provides a comprehensive conceptual framework for understanding urban resilience and its physical components. Moreover, the study offers a fresh perspective on urban resilience by highlighting the influence of tall buildings on the surrounding areas. Ultimately, it provides practical recommendations for architects, urban planners and other stakeholders to improve regional earthquake resilience. [ABSTRACT FROM AUTHOR]

The escalation of carbon emissions has propelled global warming into a global issue requiring urgent attention. As primary contributors to global carbon emissions, cities constitute the central battleground for efforts aimed at carbon emission reduction. Notably, China, the world's largest carbon emitter, has channeled substantial human and financial resources towards the development of low‐carbon cities. However, the multifaceted challenges confronting Chinese low‐carbon city construction (LCC), including the lack of clearly defined construction strategies and deficiencies in government policy implementation, underscore the need for a systematic exploration of the influencing factors and mechanisms to overcome these obstacles. In response to this pressing need, this study utilizes a conceptual framework that is deeply rooted in the complex urban social‐economic‐natural‐management ecosystem. Within this framework, the study meticulously identified 12 influencing factors and, employing the pressure‐state‐response (PSR) model, categorized them to elucidate the dynamic and multidimensional nature of low‐carbon city construction. Subsequently, the DEMATEL method was employed to explore the causality and centrality of these 12 factors, and the ISM method was used to analyze the hierarchical structure and influencing factors and mechanisms of LCC. Three paths from LCC pressure to LCC response were established. Finally, three major implications were proposed to help Chinese LCC: (i) improve urban strategic planning applicability in a one‐city‐one‐policy manner, (ii) strengthen the green economy's long‐term development mechanism, and (iii) use the enthusiasm of market forces and public participation. [ABSTRACT FROM AUTHOR]

Operating room (OR) planning has gradually become an important element of Hospital administration in recent years. The OR performance plays a significant role in enhancing the quality of the care provided to the patients, and reducing patients' length of stay (LOS), which is the function of the OR performance, decreases the costs. Following a survey of the existing research and conducted interviews with clinical and non-clinical OR staff, there are several factors influencing patients’ length of stay (LOS) in OR, and consequently the costs of OR. In this work, first, we implemented the DEMATEL to define the relationship between OR factors, next, employed ANP to identify the most influential factors on the LOS in the OR. The results show the most influential factors are operative time, operative setup, patient waiting time, anesthesia, and patient preparation. Running two rooms concurrently and minimizing turnover time (TOT) reduce patients' LOS by 10% and 5.6%, respectively, and improve the patients' and clinical personnel's satisfaction. Reducing the LOS not only leads to reduced OR costs but also helps increase the number of operations and thereby hospitals' revenue. [ABSTRACT FROM AUTHOR]

The analysis of the stock market performance ratios is crucial for investors and fund managers. The food and beverage industry in Turkey is the largest sector in the Istanbul Stock Exchange (ISE). It contributes over half of the country’s GDP and is a highly attractive sector. This study aims to rank the top food and beverage companies based on their stock market performance ratios. The criteria weights were determined by using DEMATEL and CRITIC methods, with the help of three experts for DEMATEL. The stock market performances of the companies were evaluated by using three MCDM methods; EDAS, WASPAS, and TOPSIS, with the weights obtained from both DEMATEL and CRITIC. The robustness of the results was tested by applying various combinations of weighting and evaluation methods. According to the DEMATEL, earnings per share had the highest weight while CRITIC found the market value to book value ratio as the most important criterion. The study concluded that the best-ranked companies are CCOLA and TBORG. Also, there is no significant stability in other companies’ rankings. To reveal which methods produced similar rankings, Spearman’s Rank Correlation analysis was conducted: while WASPAS combinations produced similar rankings, all EDAS and TOPSIS combinations gave similar findings. [ABSTRACT FROM AUTHOR]

Emergency logistics supply chains (ELSC) can help to restore normal activities in disaster-affected areas, thus helping to increase the resilience of communities. In order to develop resilient supply chains there needs to be an analysis of the factors affecting the vulnerability of supply chains. In this study, the interlinkages between 15 factors found to influence the vulnerability of both within and outside the ELSC were analysed through the D- Decision Making Trial and Evaluation Laboratory (D-DEMATEL)-Adversarial Interpretive Structure Model (AISM) modelling techniques. The results show that coordination and cooperation, information and communication mechanisms, and organisational operating environment are among the most important factors, based on the AISM hierarchy. This study will help policy makers to effectively identify vulnerabilities in emergency logistics supply chains and develop stronger strategies to build more resilient supply chains thereby helping to reduce the losses to society caused by disasters. [ABSTRACT FROM AUTHOR]

Building defects are a common phenomenon in the construction industry. The negative consequences of building defects are not limited to waste generation or low resource efficiency. This challenge can have several direct and indirect implications such as cost overruns, unforeseen delays in project completion time, building occupants' dissatisfaction and health and safety risks. Despite the increase in the number of studies investigating building defects in recent years, little is known about the prioritisation of their causes by considering the interaction among the causes of defects. Therefore, this study employed the decision-making trial and evaluation laboratory (DEMATEL) method to bridge this gap. Experts' opinion was sought using a questionnaire developed in the form of a matrix and semi-structured interview questions. Thereafter, the interactions among the causes of building defects were analysed and the most prominent causes are identified. The study showed that materials, workmanship and design are the major causes of building defects. Despite being specific context, the findings can be the basis for further research in this area with a focus on a range of different building typologies. Furthermore, the recommendations provided will act as a facilitator to minimise the occurrence of building defects. Lastly, the research findings can be considered in the planning stage of any construction project, to ensure the construction quality, reduce potential waste and enhance the circular economy and resource efficiency in the built environment sector. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study is to identify the components and examine the causal relationships of optimal budgeting in Iran's education system. Methodology: This research employed an applied and exploratory approach, utilizing descriptive and survey methods for data collection. Initially, the components and sub-components of optimal budgeting were identified through a review of literature, including theses, articles, and books. A designed questionnaire was then reviewed and completed by experts and specialists in the field of industrial management and academic professors using the fuzzy Delphi method. Subsequently, the causal relationships between the components were determined using DEMATEL multi-criteria decision-making methods. Findings: The study identified three main components--Ability (ABI), Authority (AUT), and Acceptance (ACC)--as crucial for optimal budgeting in Iran's education system. The results from the Delphi fuzzy method indicated a consensus among experts, with all components having definitive means above 0.4. The DEMATEL analysis revealed that the Authority (AUT) component has the highest influence and lowest receptivity among the components, making it the most significant factor. It was found that enhancing the Authority (AUT) component can positively influence the other components, leading to improved budgeting outcomes. Conclusion: For optimal budgeting in Iran's education system, controlling the main components--Ability (ABI), Authority (AUT), and Acceptance (ACC)--is essential. Enhancing the Authority (AUT) component can lead to better control of other components, resulting in improved budgeting with reduced costs and time. Systemic budgeting is crucial for the growth and development of countries, and it is imperative for Iran's General Directorate of Education to adopt this strategy to align with global trends. [ABSTRACT FROM AUTHOR]

Understanding the flood resilience of an area is an important task for decision-makers, practitioners, and community members. However, despite the wide acceptance of the need for resilience assessment in recent years, there has been no clear agreement on what flood resilience exactly constitutes and thus no consensus on the way in which it should be quantified. As such, this study aims to identify the most pivotal indicators to establish a standardised sustainable flood resilience framework (SFRF) for an overall measure of resilience before a flood event. The framework uses the United Nations Sustainable Development Goals (UN SDG) indicators as a benchmark to establish a measurement structure that can be consistently implemented globally, using publicly sourced data. Users of the SFRF will be able to assess whether their target area has successfully achieved the conditions required for flood resilience and as a result, the associated UN SDG targets. A detailed review of 55 journal articles related to flood resilience assessment was first conducted to identify the most frequently used indicators globally across the different frameworks in the literature. A hybrid method using the decision-making trial and evaluation laboratory (DEMATEL) approach combined with the analytic network process (ANP) was then adopted to rank the top indicators in terms of their importance in evaluating the flood resilience. Finally, two examples are provided to show how the SFRF established in this study can enable users to make a universally standardised assessment of the level of flood resilience for a specific area. [ABSTRACT FROM AUTHOR]

This paper develops a method integrating Geographic Information Systems (GIS) and the Decision-Making Trials and Evaluation Laboratory (DEMATEL) for the analysis of factors influencing urban flood risk and the identification of flood-prone areas. The method is based on nine selected factors: land use/land cover (LULC: the ratio of built-up areas, the ratio of greenery areas), elevation, slope, population density, distance from the river, soil, Topographic Wetness Index (TWI), and Normalized Difference Vegetation Index (NDVI). The DEMATEL method is used to determine the cause–effect relationship between selected factors, allowing for key criteria and their weights to be determined. LULC and population density were identified as the most important risk factors for urban floods. The method was applied to a case study—the Serafa River watershed (Poland), an urbanized catchment covering housing estates of cities of Kraków and Wieliczka frequently affected by flooding. GIS analysis based on publicly available data using QGIS with weights obtained from DEMATEL identified the vulnerable areas. 45% of the total catchment area was classified as areas with a very high or high level of flood risk. The results match the actual data on inundation incidents that occurred in recent years in this area. The study shows the potential and possibility of using the DEMATEL-GIS method to determine the significance of factors and to designate flood-prone areas. [ABSTRACT FROM AUTHOR]

The multi-functional integrated RF system (MIRFS) is a crucial component of aircraft onboard systems. In the testability design process, traditional methods cannot effectively deal with the inevitable differences between system designs and usage requirements. By considering the MIRFS's full lifecycle characteristics, a new testability allocation method based on multi-criteria decision-making (MCDM) is proposed in this paper. Firstly, the testability framework was constructed and more than 100 indicators were given, which included both different system-level and inter-system indicators. Secondly, to manage parameter diversity and calculate complexity, the basic 12 testability indicators were optimized through the Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) method. Thirdly, the detailed testability parameters were obtained by using the Decision-Making Trial and Evaluation Laboratory and Analytic Network Process (DEMATEL-ANP) to reduce the subjectivity and uncertainty. Finally, an example was utilized, and the results show that the MCDM method is significantly better than traditional methods in terms of accuracy and effectiveness, which will provide a more scientific basis for the MIRFS testability design process. [ABSTRACT FROM AUTHOR]

Conflict is commonly encountered in environments characterized by intense interpersonal relationships and differing opinions. It manifests not only between individuals but also among groups, institutions, sectors, and societies. Conflict can foster innovative ideas and thoughts that benefit both employees and organizations when managed effectively by providing the appropriate environment and conditions. This study aims to identify and assess the impact and significance of the criteria that cause conflict in health facilities and develop strategies and recommendations to address the most critical conflict-inducing factors. With the support of existing literature, the criteria causing conflict in health facilities were identified, and their impact and significance were evaluated using the DEMATEL method, a multi-criteria decision-making approach. According to the results, the most critical risk factors causing conflict in health facilities are "Skills, Abilities, and Differences" with a weight of 13.42%, "Teamwork" with a weight of 13.20%, and "Communication" with a weight of 12.89%. Based on these findings, strategic recommendations have been made by the priority ranking of the identified conflict-causing criteria. [ABSTRACT FROM AUTHOR]

E-government transformation requires a deeper understanding of contextual factors, including prevailing challenges. Significantly, few studies have raised that e-government challenges are not independent and that their interdependencies warrant further investigations. This study aims to analyse the interdependencies of e-government challenges using qualitative and quantitative methods – PESTELMO (Political, Economic, Socio-cultural, Technological, Environmental, Legal, Managerial and Organisational) analysis method and DEMATEL (Decision-Making Trial and Evaluation Laboratory) and ANP (Analytic Network Process) respectively. PESTELMO analysis method categorised 27 e-government challenges in Tanzania, which were then subjected to DEMATEL. DEMATEL results show that net causes are political, economic and legal challenges, while net receivers are sociocultural, technological, environmental, managerial and organisational challenges. The ANP results reveal that economic challenges are the most significant among the net causes. Hence, e-government policy and strategy makers may want to prioritise economic challenges to propagate beneficial results. This is the first study that analyses, visualises and attempts to measure the interdependencies among e-government challenges in Tanzania. The contributions of this paper lie in the empirical analysis of e-government challenges. The results provide insights to practitioners and researchers of e-government in Tanzania on the most critical challenges/hurdles to focus on for successful e-government transformation. [ABSTRACT FROM AUTHOR]

The practical implementation of logistics center 4.0 (LC4.0) is progressively becoming crucial to logistics operations. The appropriate LC4.0 implementation can be controlled by properly analysing certain key success factors (KSFs), a complex Multi-Criteria Decision-Making problem in uncertain environments. Therefore, it is crucial to analyse the KSFs in implementing LC4.0. Previous research works barely investigated the impact on the interdependencies between KSFs of LC4.0. We improvize the Pythagorean fuzzy Decision-Making Trial and Evaluation Laboratory (PF-DEMATEL) method for GDM under uncertain and incomplete information. Our proposed research framework includes the strengths of trapezoidal pythagorean fuzzy numbers for handling fuzziness and D-Numbers for achieving a better and more accurate decision from a heterogeneous group of experts with their linguistic preferences. Moreover, it is also intelligent and adaptable in handling the inherent uncertainty due to subjective and vague information. The proposed D-number-based PF-DEMATEL model is applied to analyse the KSFs in the execution of LC4.0 and accurately represents the total impacts on each other. The validity and efficiency of the model are examined by applying it to the data obtained from the experts, followed by a comparative analysis. The result analysis will be helpful in industrial practice and academic professionals in the field and future recommendations. [ABSTRACT FROM AUTHOR]

In order to identify the greater risks in the implementation of the new construction technology of 'Embedded positioning construction technology of rotary digging pile hole casing'. And further explore the construction technical risk factors and the relationship between them. On the basis of the existing research and related standards, this paper uses the work decomposition method (WBS-RBS) to construct the construction technical safety risk index system from four dimensions: natural environment, material and equipment, construction quality and working personnel. And use the decision laboratory method (DEMATEL) to establish the internal relationship between the risk evaluation indicators, and then use the network analytic hierarchy process (ANP) method to determine the weight of the risk evaluation index, establish a risk assessment model based on DEMATEL-ANP and carry on the example operation. The results show that the burying stability, fixing mode, type, upper position and installation stability of the reamer are the key work to ensure the normal implementation of the technology. [ABSTRACT FROM AUTHOR]

Due to many unexpected events, international enterprises are facing an increasing supply and demand uncertainty. From the perspective of logistics demands, selecting the appropriate logistics service providers is an important issue. From the perspective of logistics service providers, satisfying customers’ needs in competitive markets is vital. This study focuses on three multinational logistics companies providing services in China, Hong Kong, and Taiwan as case studies for investigating the selection criteria in the context of logistics service providers and for evaluating their performance in an uncertain market. The criteria with a higher total influence and net influence should receive a higher weight than other criteria. However, the existing modified DANP-mV model that integrates the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method, the ANP (Analytic Network Process) method, and the mVIKOR (modified Vlsekriterijumska Optimizacija I Kompromisno Resenje) method often does not follow this logic. This study proposes a new model called rDANP-U (revised DANP with mean group Utility) with the purpose of generating more proper weights for the selection criteria with a higher total influence and net influence. Further on, the mean group utility component derived from the VIKOR method is employed for evaluating the performance of the three chosen logistics service providers operating in an uncertain environment and for providing improvement strategies for them. [ABSTRACT FROM AUTHOR]

Floods and earthquakes are the most common natural disasters, causing significant damage and casualties in urban communities. Although academic research has focused on assessing cities' ability to withstand these natural disasters, there is a lack of established frameworks for evaluating resilience against multiple hazards. This research integrates the earthquake and flood resilience indicators to create a comprehensive resilience assessment framework. This study integrated seismic and flood resilience indicators and categorized them into 27 clusters. It also used the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method to determine the significance of clusters and prioritize them. This research identified 13 cause clusters and 14 effect clusters of indicators for seismic and flood resilience. The 'response capacity' cluster has the most impact on seismic and flood resilience, while the 'transportation and accessibility' cluster is the most affected cluster. This article presents a framework for evaluating flood and seismic resilience and makes suggestions for future research. [ABSTRACT FROM AUTHOR]

To address the common issues of lacking indicator system identification, causal relationship quantification, and path simulation analysis in the current research on safety performance in prefabricated construction, a method for improving safety performance in prefabricated construction based on the decision-making trial and evaluation laboratory (DEMATEL) and NK model is proposed. Firstly, through theoretical analysis and literature review, the indicator system for safety performance in prefabricated construction is identified using the grounded theory. Secondly, expert research and quantitative analysis are combined to analyze the causal relationship of the indicators using the DEMATEL method. Then, the DEMATEL method is integrated with the NK model to carry out a key indicator adaptability modeling analysis and three-dimensional simulation. Finally, a case study is conducted to validate the usability and effectiveness of the proposed model and method. The results show that X6 (construction and implementation of safety management system) had the highest impact on the other indicators, and X14 (quality and safety status of prefabricated components) was most influenced by other indicators. X6 (construction and implementation of safety management system), X1 (personnel safety awareness and attitude), X14 (quality and safety status of prefabricated components), and X12 (construction site working environment) were identified as key performance indicators. "X6 (construction and implementation of safety management system) → X1 (personnel safety awareness and attitude) → X14 (quality and safety status of prefabricated components) → X12 (construction site working environment)" was considered the optimal path to improve construction safety performance. [ABSTRACT FROM AUTHOR]

Numerous studies investigate factors contributing to social media addiction, but few explore their significance and interconnections from psychotherapists' and researchers' perspectives. This study used the DEMATEL methodology to examine social media addiction, identifying 50 predictors from literature, categorized into personality traits, comorbid symptoms, and psychosocial components. Data from 115 respondents showed personality traits as the most influential factor. DEMATEL analysis categorized predictors into cause-and-effect groups. Experts assessed direct relationships using Trapezoidal Fuzzy Numbers (TFN), which were then converted and analyzed. The study compared DEMATEL variants, finding Trapezoidal Fuzzy DEMATEL most effective for evaluating predictor interrelationships. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to explore the integration of Industry 4.0 technologies with lean six sigma practices in the manufacturing sector for enhanced process improvement. Design/methodology/approach: This study used a fuzzy decision-making trial and evaluation laboratory approach to identify critical Industry 4.0 technologies that can be harmonized with Lean Six Sigma methodologies for achieving improved processes in manufacturing. Findings: The research reveals that key technologies such as modeling and simulation, artificial intelligence (AI) and machine learning, big data analytics, automation and industrial robots and smart sensors are paramount for achieving operational excellence when integrated with Lean Six Sigma. Research limitations/implications: The study is limited to the identification of pivotal Industry 4.0 technologies for Lean Six Sigma integration in manufacturing. Further studies can explore the implementation challenges and the quantifiable benefits of such integrations. Practical implications: Integrating Industry 4.0 technologies with Lean Six Sigma enhances manufacturing efficiency. This approach leverages AI for predictive analysis, uses smart sensors for energy efficiency and adaptable robots for flexible production. It is vital for competitive advantage, significantly improving decision-making, reducing costs and streamlining operations in the manufacturing sector. Social implications: The integration of Industry 4.0 technologies with Lean Six Sigma in manufacturing has significant social implications. It promotes job creation in high-tech sectors, necessitating advanced skill development and continuous learning among the workforce. This shift fosters an innovative, knowledge-based economy, potentially reducing the skills gap. Additionally, it enhances workplace safety through automation, reduces hazardous tasks for workers and contributes to environmental sustainability by optimizing resource use and reducing waste in manufacturing processes. Originality/value: This study offers a novel perspective on synergizing advanced Industry 4.0 technologies with established Lean Six Sigma practices for enhanced process improvement in manufacturing. The findings can guide industries in prioritizing their technological adoptions for continuous improvement. [ABSTRACT FROM AUTHOR]

Floods and earthquakes are the most common natural disasters, causing significant damage and casualties in urban communities. Although academic research has focused on assessing cities' ability to withstand these natural disasters, there is a lack of established frameworks for evaluating resilience against multiple hazards. This research integrates the earthquake and flood resilience indicators to create a comprehensive resilience assessment framework. This study integrated seismic and flood resilience indicators and categorized them into 27 clusters. It also used the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method to determine the significance of clusters and prioritize them. This research identified 13 cause clusters and 14 effect clusters of indicators for seismic and flood resilience. The ‘response capacity’ cluster has the most impact on seismic and flood resilience, while the ‘transportation and accessibility’ cluster is the most affected cluster. This article presents a framework for evaluating flood and seismic resilience and makes suggestions for future research.

Low-carbon supply chain management (LCSCM) strategies are required in the Indian manufacturing industries due to rapidly growing energy usage for financial and environmental reasons. LCSCM technologies face several challenges that limit their adoption. Eleven hurdles were selected from the literature and the recommendations of one business expert and one academic expert. These barriers are defined by several factors, including a lack of information, financial worries, environmental concerns, and governmental limits, among others. In addition, efforts are being made to quantify the most optimal relevant barriers using multi-criteria decision-making (MCDM) techniques such as interpretive structural modeling (ISM) and the decision-making trial and evaluation laboratory (DEMATEL). The MICMAC analysis estimates the sensitivity and priority of barriers based on dependency and driving power. One of these barriers is a needed factor; three are driving elements; four barriers are linked factors; and three are self-sufficient factors. The findings of this study can help academic specialists, industry representatives, and practitioners in their ongoing attempts to adopt "LCSCM techniques" in Indian manufacturing industries. The model is appropriately explained and applies the link between the barriers. The objective of this paper is to evaluate and select the most influential barriers to adopting LCSCM in the Indian manufacturing sector that are interrelated. [ABSTRACT FROM AUTHOR]

Abstract Background In a case study in Spain, the unequal proportion of men and women in a research organization in the energy sector is severe, and long-established dynamics that might determine differences in access to leadership positions and inequalities in research careers are evident. The gender gap in historically masculinized fields, such as energy engineering reflects more than simply the differences in male and female values and personalities. This study seeks to explore the gender gap in energy research centres and to identify barriers that potentially hinder the research careers of women. It proposes the development of a diagnostic tool, based upon indicators, to monitor and evaluate gender roles and inequalities in the management of research centres for identifying and addressing the dynamics and obstacles that hinder women's progress in the energy sector and their potential contribution to the field. This participatory multicriteria-based tool prioritizes the proposed indicators by their influence and importance in the context of energy research and applies it to the monitoring of a specific Spanish energy research centre. Results The results are threefold: (i) the methodology is adaptable to different research centres; (ii) the analysis of indicators’ prioritization could lead to recommendations that should be addressed first; (iii) the diagnostic tool used in this in-depth case study of an energy research centre in Spain allowed results to be achieved in terms of gender dynamics. Two indicators stand out as the most relevant in our analysis: gender diversity in leadership positions and uncomplicated application of work–life balance measures. In this case study, the measurement of the first indicator has drawn unsatisfactory results, and the research of the latter is considered still insufficient. In conclusion, this difference becomes a vicious or negative circle for attracting and retaining more women to the research centre. Despite these results, no gender gap seems to be recognized and thus, no measures are being taken to improve the situation. Conclusions Comprehensive data and contextualized monitoring are necessary to effectively study and enhance the presence and participation of women in the energy science sector. This approach, combining quantitative and qualitative techniques, is suitable for any research centre that would like to monitor its gender gap, identify potential sources of inequity and address them.

Introduction/purpose: The possibility of optimizing decision making in the operations planning process in air defence units by applying a multi-criteria decision-making approach in a fuzzy environment is shown in the paper. By analyzing the content of the available literature, the selection criteria were determined based on which it is possible to evaluate and compare the courses of action of air defence units. The criteria are based on the evaluation parameters of the courses of action from the decision matrix in the phase of the operations planning process called the courses of action validation and comparison. Methods: The proposed approach combines the Laboratory for Testing and Evaluation of Decision Making (DEMATEL) and the Compressed Proportional Assessment (COPRAS) which have been successfully modified by fuzzy triangular sets. The fuzzy-DEMATEL method was applied to determine the criteria's weights, and the fuzzy-COPRAS method was applied to evaluate the alternatives - courses of action. Results: Multiple fuzzy-multi-criteria decision-making methods were integrated into a unique model that can be applied in the operations planning process with the aim of optimizing the decision-making process. Conclusion: The paper contributes to military science in making decisions related to the operations planning process at the tactical level in air defence units.

In response to compelling environmental and societal imperatives, the real estate sector is increasingly compelled to adopt environmentally sustainable practices, prompting a significant “green” shift. Drawing upon an extensive literature review and insights garnered through expert interviews, this study identifies 15 critical factors influencing the green supply chain in the Indian real estate domain. Employing the Interpretive Structural Modeling–Dynamic Multi-Attribute Decision-Making Trial and Evaluation Laboratory (ISM–DEMATEL) approach, the hierarchical and contextual relationships among these factors are systematically examined. The ISM–DEMATEL analysis unveils that government policies and legislation, developer orientation and commitment, and green financing emerge as the top three pivotal drivers steering the green supply chain in the Indian real estate sector. To further categorize these drivers, a Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis is employed, resulting in the classification of factors into independent, dependent, autonomous, and linkage categories. The research offers practical insights that may prove invaluable to stakeholders within the real estate industry as well as academicians.

Purpose – The objective of this research is to investigate the barriers impacting the integration of Industry 5.0 (I5.0) in supply chain sustainability. By understanding these challenges, this study aims to provide valuable insights that can guide organizations in successfully implementing the transformative potential of I5.0. The ultimate aim is to improve operational efficiency and advocate for sustainable practices within supply chains. Design/methodology/approach – Research has used industry expert interviews, a comprehensive literature review and the decision-making trial and evaluation laboratory approach for analysis. Industry expert interviews serve to capture first-hand insights from professionals well versed in the field, providing practical perspectives on the barriers to I5.0 adoption. Findings – This study identifies technological challenges, organizational barriers, regulatory impediments and economic constraints as pivotal factors inhibiting the widespread adoption of I5.0 in supply chain sustainability. Research limitations/implications – This research serves as a foundation for future investigations into overcoming barriers to I5.0 adoption, guiding scholars and practitioners in refining strategies for successful implementation. Practical implications – The findings offer practical insights for organizations aiming to adopt I5.0, informing decision-makers on key challenges and facilitating the development of targeted strategies to overcome them. Social implications – The social implications lie in fostering sustainable business practices through the adoption of I5.0, contributing to environmental responsibility and societal well-being. Originality/value – This research contributes original insights from practitioners, policymakers and researchers in navigating the complex landscape of I5.0 adoption, ensuring meaningful contributions to both academia and industry.

Background: In a case study in Spain, the unequal proportion of men and women in a research organization in the energy sector is severe, and long-established dynamics that might determine differences in access to leadership positions and inequalities in research careers are evident. The gender gap in historically masculinized fields, such as energy engineering reflects more than simply the differences in male and female values and personalities. This study seeks to explore the gender gap in energy research centres and to identify barriers that potentially hinder the research careers of women. It proposes the development of a diagnostic tool, based upon indicators, to monitor and evaluate gender roles and inequalities in the management of research centres for identifying and addressing the dynamics and obstacles that hinder women's progress in the energy sector and their potential contribution to the field. This participatory multicriteria-based tool prioritizes the proposed indicators by their influence and importance in the context of energy research and applies it to the monitoring of a specific Spanish energy research centre. Results: The results are threefold: (i) the methodology is adaptable to different research centres; (ii) the analysis of indicators' prioritization could lead to recommendations that should be addressed first; (iii) the diagnostic tool used in this in-depth case study of an energy research centre in Spain allowed results to be achieved in terms of gender dynamics. Two indicators stand out as the most relevant in our analysis: gender diversity in leadership positions and uncomplicated application of work–life balance measures. In this case study, the measurement of the first indicator has drawn unsatisfactory results, and the research of the latter is considered still insufficient. In conclusion, this difference becomes a vicious or negative circle for attracting and retaining more women to the research centre. Despite these results, no gender gap seems to be recognized and thus, no measures are being taken to improve the situation. Conclusions: Comprehensive data and contextualized monitoring are necessary to effectively study and enhance the presence and participation of women in the energy science sector. This approach, combining quantitative and qualitative techniques, is suitable for any research centre that would like to monitor its gender gap, identify potential sources of inequity and address them. [ABSTRACT FROM AUTHOR]

Aiming to help petrochemical companies monitor and manage risks in real time, this study presents a comprehensive risk assessment method for hydrogenation units based on the decision making trial and evaluation laboratory (DEMATEL), the technique for order preference by similarity to ideal solution (TOPSIS) and cloud model (CM). Through the interaction analysis by DEMATEL, the weights of risk factors are assigned more reasonable, and introduced into TOPSIS and CM for the prioritization of risk factors and the risk assessment of hydrogenation units. A case study is conducted on a petrochemical enterprise in Liaoning Province, China. The results show that this method can accurately identify risk factors and evaluate risk level of hydrogenation units to guide the enterprise in risk management. • A DEMATEL-TOPSIS-CM risk assessment method is proposed for hydrogenation units. • The critical risk factors in diesel hydrogenation reaction are identified. • The impact of key hazards is appropriately amplified to aid risk management. • This method is the basis for real-time risk assessment of hydrogenation units. [ABSTRACT FROM AUTHOR]

As environmental awareness grows, society emphasizes green business. Thus, semiconductor companies encompass energy-saving processes and innovative product development. This study employs the fuzzy decision-making trial and evaluation laboratory (DEMATEL) analysis method to assess the impact of four key dimensions, externalities, market orientation, green technology, and corporate social responsibility, on semiconductor companies' green production decisions. This study uses the DEMATEL-based analytic network process (DANP) approach to rank the criteria order in green production decision-making. The results from the DEMATEL causality diagram highlight externalities as the most critical dimension influencing other dimensions of green production decisions. This study suggests that regulatory pollution punishment and subsidies emerge as the primary drivers for green production decisions. Companies adopt environmentally friendly production practices to prevent regulatory pollution penalties or reduce carbon trading costs. Additionally, the DANP results reveal that corporate image criteria in the corporate social responsibility dimension hold the utmost priority in semiconductor firms' green production decision-making. This implies that considerations for improving a company's image should take precedence as semiconductor companies seek shareholder support and governmental subsidies to ensure sustainable operations. Externalities arise as the secondary priority dimension in green production decision-making, aligning with the impact of externalities identified in DEMATEL findings. [ABSTRACT FROM AUTHOR]

With more companies entering the realm of electric vertical take-off and landing (eVTOL) and governments enacting policies to support the development of low-altitude economies, the commercial potential of eVTOL is being recognized by the public. However, true commercialization is still a long way off. This article analyzes the technologies, product features, potential markets, and government policies related to eVTOL and constructs a four-stage, four-layer Policy–Technology Roadmap (P-TRM) model to guide the R&D process of eVTOL. Then, it is transformed into a system structural model, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to identify several key nodes in the R&D process. Utilizing the Technology Adoption Life Cycle (TALC) theory for interpretation and analysis, the article concludes by proposing strategies in product, technology, and policy support for how eVTOL can successfully cross the chasm. This preliminary analysis of the development path, key nodes, and necessary measures for crossing the chasm provides insights for the R&D and commercialization of eVTOL. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The presented article concerns the development of inland navigation in Poland. The aim is to determine and analyse factors that influence the development of this branch of transportation. To determine the parameters that are subject to further analysis, the author analysed publications on the development of inland waterway transport. Then, three groups of respondents (scientists, shipping administration employees, and inland navigation captains) evaluated seven selected factors (demand, operational parameters, ports, service, waterways improvement, fleet, and crew) and their mutual influence. Responses were analysed using the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. According to the results, the factors influencing inland navigation to the greatest extent are demand, operational parameters, and waterways improvement; at the same time, all these factors were evaluated as influencing the other factors. This means that by modelling these factors, e.g., through political tools, one can achieve the fastest and greatest impact on the development of inland navigation in Poland. The factors assessed as the most important, at the same time being identified as influencing others (not being their effect), are the factors that should be taken into account first, because they can have the fastest and greatest impact on the development of inland navigation in Poland. [ABSTRACT FROM AUTHOR]

Project stakeholders and the local economy are negatively impacted when state budget funds are not allocated on time, which causes delays in the capital disbursement of public investments, especially in transportation infrastructure projects in Vietnam. Introducing a hybrid approach that combines the Decision Making Trial and Evaluation Laboratory (DEMATEL) method with Grey System Theory (GST), which is effective in handling uncertainty and inadequate data, this research examines the complex relationships between several factors that contribute to disbursement delays. The findings of this study identify eight critical factors, with slow land clearance as the most significant cause influencing these delays. Detailed results reveal that bureaucratic inefficiencies and compensation disputes during the land clearance process are primary contributors to these delays. The results provide policymakers and project managers with practical insights, emphasizing the necessity of focused interventions in land clearance procedures to speed up cash release and improve project delivery schedules. A strong framework for tackling comparable problems in various regional contexts is provided by the study's innovative methodology and empirical findings. [ABSTRACT FROM AUTHOR]

Introduction/purpose: The possibility of optimizing decision making in the operations planning process in air defence units by applying a multi-criteria decision-making approach in a fuzzy environment is shown in the paper. By analyzing the content of the available literature, the selection criteria were determined based on which it is possible to evaluate and compare the courses of action of air defence units. The criteria are based on the evaluation parameters of the courses of action from the decision matrix in the phase of the operations planning process called the courses of action validation and comparison. Methods: The proposed approach combines the Laboratory for Testing and Evaluation of Decision Making (DEMATEL) and the Compressed Proportional Assessment (COPRAS) which have been successfully modified by fuzzy triangular sets. The fuzzy-DEMATEL method was applied to determine the criteria's weights, and the fuzzy-COPRAS method was applied to evaluate the alternatives - courses of action. Results: Multiple fuzzy-multi-criteria decision-making methods were integrated into a unique model that can be applied in the operations planning process with the aim of optimizing the decision-making process. Conclusion: The paper contributes to military science in making decisions related to the operations planning process at the tactical level in air defence units. [ABSTRACT FROM AUTHOR]

Highly reliable mechanical systems can lead to significant losses in the event of failure, and the lack of comprehensive failure data presents challenges for developing techniques such as critical part identification and failure prediction. In light of this, this paper proposes a meta‐action‐based fault prediction method that effectively addresses the issue of limited fault data. Initially, the mechanical system is decomposed utilizing the "Function‐Motion‐Action" (FMA) methodology to derive individual meta‐action units (MAUs). Subsequently, the limited sample of fault data from the mechanical system is combined with processed expert knowledge to construct the corresponding fault propagation‐directed graph. Furthermore, the key MAUs are determined by applying the Decision–Making Trial and Evaluation Laboratory (DEMATEL) method. Last, the degradation data of the key MAUs is acquired by monitoring them, and a non‐homogeneous discrete grey model (DNGM) integrated with an improved BP neural network is proposed to facilitate the fault prediction of MAUs. Using an industrial robot as a case study, the prediction results demonstrate the superiority of the method proposed in this paper over a single gray model and neural network, thereby providing a reliable prediction approach for anticipating the future trends of data‐deficient mechanical systems. [ABSTRACT FROM AUTHOR]

This paper proposes a risk assessment method based on the best‐worst method (BWM) and decision‐making trial and evaluation laboratory (DEMATEL) to evaluate the fire safety level of alternative design schemes for cruise ships relative to the standard‐based options. Firstly, the analytic hierarchy model of fire safety assessment is constructed by analyzing the passive fire protection system, active fire protection system, and evacuation and escape capability of cruise ship large cabins. Then, the linguistic scale functions and Z‐numbers are used to deal with the fuzzy evaluation of fire safety factors by experts, and the maximizing consensus technique is adopted to determine the weight of each expert to enhance group consistency. Considering the influence degree of each factor on fire safety and the correlation between factors, the BWM is combined with DEMATEL to establish the risk source weight calculation model. The fire safety level of alternative cruise ship designs is further determined by the fuzzy comprehensive evaluation approach. Finally, to validate the effectiveness of the proposed method, a fire safety assessment is conducted on the alternative design scheme of a luxury cruise passenger restaurant. The results confirm that the proposed method can effectively evaluate the fire safety of alternative design compared to the standard‐based scheme. [ABSTRACT FROM AUTHOR]

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The COVID-19 outbreak disrupted the business environment and severely affected the morale and performance of the employees. Further, the Indian automobile industry witnessed major setbacks and drastically impacted sector in COVID-19. Talent agility is an emerging concept in the field of HRM that will foster innovations and productivity in the automobile industry. Thus, this study aims to explore the barriers to building in-house agile talents in the Indian automobile industry in the new normal. Design/methodology/approach: The barriers of talent agility were identified through a literature review and validated through experts' opinions. This study used a hybrid approach, which combines Interpretive Structural Modelling-Polarity (ISM-P) and decision-making trial and evaluation laboratory (DEMATEL) to develop a hierarchical structural model of the barriers, followed by classification into cause and effect groups. Findings: The result of the multi-method approach identified that shortage of skills and competencies, lack of IT infrastructure, lack of ambidextrous leaders, lack of smart HRM technologies and practices, lack of attractive reward system/career management, poor advanced T&D, poor industry, institute interface and financial constraints are the critical barriers. Practical implications: It can provide a strategic roadmap for automobile manufacturers to promote talent agility in the current wave of digitalization (Industry 4.0). This study can help the managers to address and overcome the barrier and hurdles in building talent agility. Originality/value: This study is unique in that it addresses the contemporary issues related to talent agility in the context of the Indian automobile industry in the current rapidly changing environment. This study developed a holistic integrated ISM(P)-DEMATEL hierarchical framework on the barriers of talent agility indicating inner dependency weights, i.e., the strength of interrelationship between the barriers. [ABSTRACT FROM AUTHOR]