The large amount of construction and demolition waste (CDW), coupled with poor management create burdens for the environment, society and economy. Barriers hinder sustainable CDW management. ...Understanding the barriers can promote the development of eco-friendly, socially harmless, and economically viable strategies. This study aims to integrate sustainable waste management in construction (SWM) and demolition practices. This study develops a valid set of attributes to justify the interrelationships among the barriers. The attributes of sustainable waste management are qualitative by nature, and uncertainties exist because of linguistic preferences regarding the attributes. This study applies the fuzzy Delphi method to validate five barriers and 14 criteria under uncertainties. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) with qualitative information is used to determine the interrelationships among the barriers. The results indicate that regulatory barriers are the primary cause of technical and environmental barriers. In Somaliland, the criteria hindering sustainable CDW management practices are the lack of awareness, the lack of commitment, ineffective management, the lack of collaboration, the lack of national vision, inadequate funding, limited infrastructure, the lack of supervision, and the lack of legal enforcement. The theoretical and managerial implications of this study are discussed.
•This study develops valid CDW attributes set with qualitative information.•This study applies the fuzzy Delphi method to screen valid criteria.•Fuzzy DEMATEL is to visualize the interrelationships among attributes.•The results indicate that regulatory barriers lead to technical and environmental barriers.
This study aims to explore integrated solid waste management hierarchical interrelationships using a sustainable balance scorecard approach. The proposed analysis using the fuzzy Delphi method to ...exclude invalid attributes, interpretive structural modeling to arrange attributes into an extensive hierarchical model, and using a fuzzy decision-making trial-and-evaluation laboratory to examine the causal interrelationships among attributes. The solid waste management systems in Vietnam are generally inefficient due to a lack of proper administrative oversight, infrastructure, and adequate resource utilization. Integrated solid waste management is an important provision in public service systems. There is a need to propose and evaluate better management approaches to enhance waste process activities and increase sustainable performance. Collected qualitative information is converted into a crisp value for the evaluation process, and the qualitative data stem from the operations. This study measures 6 aspects and 24 criteria. The results showed that financial investment, stakeholder involvement, and innovation capacity are decisive causal aspects in which stakeholder involvement and innovation capacity are interrelated. The cost efficiency, stakeholder collaboration, flexibility/adaptability to environmental changes, availability of local technical skills, and knowledge acquisition and communication technologies are identified as the linkage criteria that present the highest driving and dependence powers to help decision makers achieve better operational performance.
•This study aims to explore ISWM using a sustainable balance scorecard.•Fuzzy Delphi method is to exclude the invalid attributes.•ISM arranges attributes into an extensive ISWM hierarchical model.•Fuzzy DEMATEL presents the causal interrelationships.•The financial investment and stakeholder involvement capacity are the decisive attributes.
•This real-world study allows for a holistic understanding of urban QoL.•The process-oriented approach followed overcomes some limitations of purely statistical methods.•Cognitive mapping improves ...the understanding of urban QoL.•The integration of cognitive mapping, neutrosophic logic and DEMATEL generates a new methodological approach to QoL.•No prior research was found that has adopted the proposed methodology to address QoL.
Quality of life (QoL) is an important issue that reflects changes around the world caused not only by human population density, growth, and related initiatives but also by crises and pandemics. Concurrently, people’s increasing tendency to live in urban areas has generated growing concerns about correctly assessing city QoL to facilitate the implementation of practical measures that favor both current and future generations’ well-being. Conducting accurate analyses in this context is a challenging endeavor due to the subjectivity and complexity intrinsic to QoL evaluations. Thus, this study develops a multicriteria model based on a constructivist and complementarity logic that helps decision makers evaluate urban QoL. The proposed analysis system combines cognitive mapping, neutrosophic logic, and the decision-making trial and evaluation laboratory (DEMATEL) method in order to address the limitations of previous studies. This model also enhances experts’ ability to decide which determining factors should be included in assessments of urban QoL. In addition, the system developed can help decision makers cope with uncertainty during evaluations because this holistic, realistic, and complete model fosters conscious decision making in urban contexts. The practical implications, advantages, and limitations of the proposed analysis system are also discussed.
Build–operate–transfer (BOT) is a public–private partnership (PPP) model in which the government commissions private enterprises to develop large‐scale public infrastructure. Owing to the large scale ...and long duration of BOT projects, BOT companies have diverse stakeholders and assume more social responsibility than ordinary companies do. Although studies on corporate social responsibility (CSR) are plentiful, most of them have examined CSR from the perspective of consumers or private‐ or state‐owned enterprises. Few studies have investigated BOT and CSR from a holistic perspective. Therefore, we adopted systems thinking to examine multistakeholder and multicriteria scenarios for investigating the CSR of BOT companies. This study established a research framework through the Delphi method. Subsequently, the decision‐making trial and evaluation laboratory and an analytic network process were used to identify causality among these criteria. Finally, the results are discussed from a systemic perspective, and suggestions for future strategies are provided.
•In Ecuador, 84.7% of the waste was a mixture of materials.•A valid set of waste sorting engagement factors are formulated.•The interrelationships among the factors are identified.•Waste sorting ...engagement is driven by environmental attitudes, perceived convenience and economic drivers.
This study contributes to developing a set of engagement factors to address waste mishandling and enhances waste sorting intention in households. Prior studies do not specify a set of factors to mobilize and empower households toward better waste sorting engagement. In addition, in Ecuador, waste separation rates are low, and household waste sorting reduces the separation efforts at collection facilities to increase the recycling efficiency for sustainable plastic waste management strategies. This study adopted the theory of planned behavior to understand waste sorting engagement factors, and the factors are described in qualitative information and linguistic preferences. Hence, this study applied the fuzzy Delphi method to screen out the less important attributes and fuzzy decision-making trial and evaluation laboratory to visualize the interrelationships among attributes. This study finds that waste sorting capacity is driven by environmental attitudes, perceived convenience, social norms and economic drivers. The results also indicated that households’ environmental attitudes, perceived convenience and economic drivers are causal factors that drive waste sorting engagement. For practitioners, separation knowledge, willingness to participate, pro-environmental decisions, and social responsibility arrangements are the driving criteria for improving waste sorting engagement and reducing and eliminating pollution. Theoretical and practical implications are discussed.
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The increased awareness about the effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches such as Green ...Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its implementation and no research has investigated barriers that hinder GLSS execution. This article investigates GLSS implementation barriers, their relationship, and removal of same in the manufacturing sector. In this article, 18 GLSS barriers have been recognized through literature review and formulated into logical groups using principal component analysis. This article pioneers with decision-making trial and evaluation laboratory with intuitionistic fuzzy (IF) set to prioritize barriers and handle the important and causal relationship among the same. The results of the article were validated through the IF best-worst method (BWM). The results reveal that management-related barriers are the top ranked followed by environmental and organization barriers with BWM weights 0.5283, 0.1704, and 0.1035, respectively. This provides impetus to policymakers for the induction of GLSS in business organizations to make harmony between economic development and environmental sustainability.
Different types of poverty traps can reinforce each other, and consequently, multiple traps pose challenges for poverty alleviation, especially in rural areas. There remains a lack of understanding ...of social and ecological poverty traps and their relationship with one another. We considered the Selinco area in the Tibetan highlands of China and investigated social and ecological poverty, for an understanding of the poverty trap through the land‐human relationship lens. We found that ecological and social poverty differ between various townships due to their poor ecological and social environs. We affirmed reinforcing feedback between ecological and social poverty, and that the relative importance of social and ecological poverty differs at various thresholds. These results advance our understanding of different poverty traps and their feedback process. The findings inform the policy‐making process when addressing the land‐human relationship to improve ecosystem stability and promote social equity to foster sustainable development.
We have entered a new technological paradigm with the emergence of Internet-embedded software and hardware, so-called the Internet of Things (IoT). Although IoT offers pan-industry business ...opportunities, most industries are only just beginning to employ it. We thus determine and prioritize the most important factors that influence IoT adoption, and reveal how IoT adoption affects the performance of manufacturing companies. We use a hybrid method that integrates the adaptive neuro-fuzzy inference system with the decision-making trial and evaluation laboratory, a novelty of the study. The literature on this subject informs our selection of the critical adoption factors, namely, technological, environmental, and organizational. The data are acquired from industrial managers involved in the decision-making process of information technology procurement in manufacturing companies in Malaysia. Our results can support IoT adoption guidelines geared to yield maximum efficiency in manufacturing industries, service providers, and governments.
•Effect of Internet of Things on Manufacturing Performance.•Considering Technological, Environmental, and Organizational Factors.•A Hybrid Multi-Criteria Decision-Making and Neuro-Fuzzy Approach.•Data Collection from Industrial Managers in Malaysia.
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