Blockchain (BLC) and the Internet of Things (IoT) are two emerging technologies that have become popular among practitioners for improving the transparency, adaptability, and safety of any industry. ...This is especially critical for food security, as COVID-19 highlighted the vulnerability of food supply chain (FSC). However, Indian organizations are experiencing problems in implementing the integrated form of BLC-IoT due to limited knowledge and insufficient research. The current study aims to propose a conceptual framework to reduce the impact of adoption barriers against BLC-IoT in FSC. Thirteen key barriers were identified after a thorough literature review and consultation with experts. The relationship among barriers was established using Interpretive structural modeling (ISM) and Decision-making trial and evaluation laboratory (DEMATEL) methods. The analysis shows that the lack of government regulation and workers' low competency significantly influence BLC-IoT adoption. The results also indicate the intricacy of decision-making by demonstrating that 9 of the 13 barriers were a part of the linkage cluster. The study outcome will help practitioners in developing and planning strategies for effective adoption of BLC-IoT in FSC.
•Thirteen key barriers against the adoption of BLC-IoT are identified.•Validated and quantified in India.•An integrated ISM-DEMATEL approach was used.•“lack of government regulation” and “low competency of workers” are most important.
•This study proposes a set of attributes to access sustainable solid waste management performance in Vietnam.•Fuzzy DEMATEL is to handle the interrelationships and ANP is to build the hierarchical ...structure to acquire the aspects and criteria weights.•Sustainable solid waste management requires the leadership of politics to drive stakeholders’ participations and social impacts.•Population growth and migration, institutional settings, waste recycling and energy recovery, households, and private contractors are critical for improvement.
This study contributes to building a valid hierarchical sustainable solid waste management (SSWM) attribute set with qualitative information, which is a complicated and ambiguous problem with uncertainties. Few studies have provided qualitative information and have addressed the interrelationships and interdependencies among the hierarchical SSWM attributes. SSWM has recently become a difficult problem to solve due to urbanization, inequality, and economic growth. This study aims to propose an SSWM attribute set and identify a causal model through linguistic preferences by using a fuzzy decision-making trial and evaluation laboratory approach to simultaneously handle the uncertainty and the interrelationships. The analytic network process is used to develop the hierarchical structure to weigh the aspects and criteria. Qualitative information is transformed into crisp and comparable values to examine the causal relationships between attributes and confirm the consistency between the theoretical structure and industry phenomena. The results indicate that policy and regulations, stakeholder participation, and social impacts play essential roles in these causal interrelationships. Political leadership in SSWM is required to drive stakeholder participation and achieve social impacts. Population growth and migration, institutional settings, waste recycling and energy recovery, households, and private contractors are the main aspects involved in improving SSWM in Vietnam.
While the world is grappling with economic uncertainty, corporate social responsibility (CSR) has been extensively studied with a focus on favorable economic conditions. This study aims to ...investigate and prioritize the drivers for CSR in large‐sized construction organizations during economic uncertainty. Based on the literature review and discussions with experienced professionals, 13 critical drivers for CSR were identified and categorized into four clusters. Using the combination of fuzzy Decision Making Trial and Evaluation Laboratory and fuzzy Analytic Network Process (DANP), drivers for CSR performance during economic uncertainty were ranked regarding their interrelationships. Among 13 drivers, the results illustrated that enhancing company reputation was the most critical driver for CSR, followed by long‐term economic benefit, employee commitment and loyalty, and credibility gain. This study expands the current understanding of CSR practices in the construction industry, shedding light on its unique characteristics during economic uncertainty.
Faced with risks aroused by the ever-increasing expansion of industrialization and urbanization, water security sustainability takes more and more effect on balancing regional sustainability and ...development, especially for industrial regions. Introducing sustainability into the indicator framework of water security is an indispensable issue should be addressed. The indicators of water security sustainability in practice are measured by observation data obtained from a monitoring period. These data are commonly expressed in various forms, such as ratio and qualitative linguistic, which makes them hard to be quantified and evaluated. As multiply influential criteria are involved the water security sustainability evaluation process, it can be treated as a multi-criteria decision making problem. An appropriate evaluation framework with scientific and strategic multi-criteria decision making techniques is supposed to be constructed. This paper incorporates the dimensions related to sustainability into the indicator framework of water security sustainability. Another contribution of this paper is that it establishes an observation data conversion standard and adopts linguistic distribution assessments as information representation. Linguistic distribution assessments can capture the natural characteristics of the observation data of water security sustainability indicators. More importantly, a multistage decision support framework integrated with multi-criteria decision making techniques, such as best-worst method (BWM), decision making trial and evaluation laboratory (DEMATEL) and technique for order performance by similarity to ideal solution (TOPSIS), is constructed for water security sustainability evaluation. Then, deep analyzes about the evaluation results and influential factors are provided, thereby certifying the reliability of evaluation results and facilitating the enhancement of water security sustainability.
Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient ...redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.
Display omitted
The decision‐making trial and evaluation laboratory (DEMATEL) is widely recognized as an effective way to identify the key elements of a complex system and establish a causal relationship between the ...criteria. To extend the effective use of the DEMATEL method in multicriteria group decision making problems, we propose some improvements for traditional DEMATEL. The direct‐influence matrix is a pairwise comparison matrix of the influence level between criteria, which is the basis of the DEMATEL method. Instead of utilizing crisp numbers to assess the level of direct‐influence, each expert provides evaluation with hesitant fuzzy linguistic term sets (HFLTSs) based on an individual linguistic term set, that is, multigranular hesitant fuzzy linguistic term sets. To obtain a reasonable and satisfying collective DIM, we propose the expert weights model based on the similarity and entropy of HFLTSs and introduce the consensus reach process that is an iterative and dynamic process of modifying experts’ opinions more similar or closer to obtain the satisfying group solution. Considering the increasing complexity of the decision environment and the intricate relationship between the criteria, the Otsu method is applied to determine the threshold value of the total‐influence matrix that is the sum of the direct influence and indirect influence and thus eliminate some unnecessary influence. Finally, the feasibility of the improved method is illustrated by an example of information warfare and analysis. Comparative results are presented to show the effectiveness and advantages of the proposed method.
Urban renewal is imperative due to growing urbanization (i.e., population migration into cities), requiring acceptable planning to meet peoples' housing needs and playing a key role in highlighting ...and satisfying societies' needs. Complex urban renewal decisions encompass environmental degradation, poverty, inequality, and inaccessibility to services. Decision makers must meet on-going challenges by transforming urban spaces so that they satisfy all constraints while satisfying residents' needs. A holistic view of urban renewal facilitates efficient strategies for meeting economic, social, and environmental obligations. Multicriteria methodology may ideally be used to develop a complete, transparent, and realistic model that identifies planning factors best resolving urban renewal efforts. Therefore, we rely on cognitive mapping, the decision-making trial and evaluation laboratory technique, and neutrosophic logic, applied by a panel of experts with experience in urban renewal planning in two group work meetings. The results were analyzed and validated by an independent specialist in this field. The contributions and limitations of this methodological framework were also examined.
•This study contributes to a holistic understanding of urban renewal.•The proposed approach overcomes some limitations of purely statistical methods.•Cognitive mapping, neutrosophic logic and DEMATEL improve understanding of causal relationships between decision criteria.•The unique use of cognitive maps, neutrosophic logic and DEMATEL supports the formulation of renewal strategies for cities.
The purpose of this research is to identify the important barriers for developing a long-term Artificial Intelligence (AI) cloud system in an Information Technology (IT) business. A fuzzy integrated ...hybrid Multi-Criteria Decision Making (MCDM) model was established and applied to achieve this goal. In this ongoing analysis, Delphi was used to filter the most crucial ones from a list of 18 identified parameters, whereas, Analytic Hierarchy Process (AHP) was used to assess the relevance of each parameter. Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) were further applied to identify the cause-effect relationship and to construct the hierarchical interrelationships among the parameters. Finally, to identify the driving and dependence parameters, Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) approach was used. The findings revealed that the most crucial elements in building a sustainable AI cloud system were technological, financial, and environmental concerns. More particularly, from all perspectives, digitalization is deemed to be the most critical within the group, with the greatest priority degree and significant driving as well as dependent tendency. According to ISM and MICMAC, user tendency to learn and R&D sector collaboration seems to be the most dependent and the independent factors respectively among the group. Remaining of the 13 factors are interrelated and operates as linkage obstacles. This study provides useful insights for IT firms trying to implement sustainable AI cloud systems and underlines the importance of including environmental and economic concerns into decision-making processes.
Health-care waste (HCW) management is a high priority public health and environmental concern particularly in developing countries. The decision to select an optimal technology for the disposal of ...HCW is a complicated multi-criteria decision analysis problem involving both qualitative and quantitative factors. Evaluating HCW treatment technologies may be based on imprecise information or uncertain data. Moreover, there can be significant dependence and feedbacks between the different dimensions and criteria. However, most existing decision models for HCW cannot capture these complex interrelationships. In response, this paper proposes a novel hybrid multi-criteria decision making (MCDM) model by integrating the 2-tuple DEMATEL technique and fuzzy MULTIMOORA method for selection of HCW treatment alternatives. It makes use of modified 2-tuple DEMATEL for obtaining the relative weights of criteria and fuzzy MULTIMOORA for assessing the alternatives according to each criterion. Specifically, an empirical case in Shanghai, one of the largest cities in China, is provided to illustrate the potential of the new model. Results show that the proposed framework for evaluating HCW treatment technologies is effective and provides meaningful implications for engineering designers to refer.
Recently, a circular economy has attracted global attention as an approach for addressing material security and resource‐efficiency issues. As our societies shift toward a circular economy, ...manufacturers need to not only produce environmentally conscious products but to also realize reliable systems that will ensure the closure of the loops of the products, components, and materials. To do so, early‐stage design is crucial to effectively and efficiently detect possible failures and then take adequate countermeasures against them. Although a few methods of failure analysis have been proposed to address environmental issues, these methods have failed to consider the cause–effect relationships among failures. This will hinder manufacturers from identifying core problems that should be addressed in a given system. Therefore, this study extends failure mode and effect analysis, which is an engineering technique used to address potential failures, by addressing the entire system reliability in relation to circularity. As a result of a case study of a manufacturer aiming to increase circularity with their products on the market, we revealed that the proposed method is useful in the early stage of design to (a) identify failure modes where effects are largely given to or received from other failures, (b) develop countermeasures effectively by addressing root causes of failures, and (c) find an opportunity to collaborate with external actors.
PDF
