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The purpose of this paper is to identify potential major risks of railway metro project implementation and to assess the priority of project risks concerning cost, time, and quality in terms of five project aspects as follows: stakeholder consensus; technological and technical; economic and commercialized; natural environmental; political and legal. In this study, the analytical network process was carried out to assess the influence of risk variables on project objectives. The involvement of experts, together with the analytical network process, provided a list of 27 risk variables affecting the outcome of a railway metro project implementation in Ho Chi Minh City, Vietnam. The results show that the economic and commercialized risk group has the largest standardized composite risk preference index (NRPI = 0.334), the technological and technical risk group is ranked second with an NRPI = 0.276 value, followed by stakeholder consensus, political-legal and environmental risks with standardized composite risk priority indices of 0.182, 0.140 and 0.067 respectively. The prioritization of risk components regarding given groups can provide a holistic picture of potential project risks; and this can support policy-makers to re-evaluate a project plan and associated backup solutions to mitigate the risk consequences on project objectives. [ABSTRACT FROM AUTHOR]

This research paper presents an all-encompassing methodology for multi-criteria decision-making in the apparel sector, with the particular objective of aiding in the determination of the most appropriate location within the CLMV subregion. The research is conducted in three crucial stages. The process began with the administration of a survey to proprietors of garment businesses in both Thailand and the CLMV countries. This survey resulted in the compilation of an exhaustive list of site-selection criteria and sub-criteria. Based on the findings of subject matter-expert interviews, Cambodia (C), Vietnam (V), and Myanmar (M) were identified as feasible alternatives. Subsequently, the questionnaire criteria and sub-criteria were evaluated utilizing the Fuzzy Analytic Network Process (Fuzzy ANP), which involved the utilization of meticulously designed pair-wise comparison matrices and local priorities. Five specialists from the Thai entrepreneurial community affirmed the effectiveness of Fuzzy ANP and expressed interest in expanding manufacturing operations in the CLMV subregion. The optimal location for Thai apparel manufacturers was subsequently determined using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). The results indicated that Vietnam is the most favorable option. In order to improve the dependability of results, an amended mixture-design scenario analysis was implemented. This analysis assessed the sensitivity and dependability of the proposed model in different scenarios, ensuring its applicability in real-world situations. In contrast to traditional models, this study integrates managerial judgments and preferences into the decision-making procedure, thereby accounting for the complex interdependencies among numerous criteria. The suggested methodology functions as a beneficial instrument for decision-makers, both domestic and international, as it integrates effortlessly into the organizational structure of the CLMV region. By harmonizing objectives pertaining to data acquisition, manipulation, retention, and dissemination, this framework not only enables enhanced decision-making processes, but also optimizes system efficiency. [ABSTRACT FROM AUTHOR]

• 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. [ABSTRACT FROM AUTHOR]

Traditionally, multinational enterprises provided middle and top management from the mother country. They would only hire entry-level employees, such as workers, from the domestic country to control the subsidiary. However, local managers benefit from a shared background and culture with the local employees. Local managers can communicate and cooperate more effectively and smoothly with local employees than foreign mangers can. Therefore, multinational enterprises are increasingly selecting middle and top management from the local market. In this study, we aimed to determine the decision factors that influence the selection of local middle and top management from the perspective of human capital. We attempt to help multinational enterprises to choose and hire middle and top management from local markets. We first identified four dimensions and fourteen criteria according to the literature using the modified Delphi method. Then, DANP (decision making and trial evaluation laboratory (DEMATEL)-based analytic network process) was employed to determine the weights of each criterion or sub-criterion. Academic experts and top managers in multinational enterprises (Taiwanese companies in Vietnam) provided their opinions for data analysis. The results showed that positive psychological capital, managerial competencies, integration, and professional competencies were the four important factors that multinational enterprises consider when they select middle and top management from the local market. We further discussed the theoretical and practical implications of the results. [ABSTRACT FROM AUTHOR]

Resources and expertise for controlling processes are inadequate due to municipal solid waste management (MSWM) capability limitations in Vietnam. The resource-based view (RBV) needs to be considered in the assessment of municipal solid waste management. Nevertheless, in practice, various attributes of municipal solid waste management are not considered in the sustainable performance of cities. Hence, this study applied exploratory factor analysis (EFA) to confirm the validity and reliability of these attributes and construct a hierarchical structure. Fuzzy set theory was used to convert the linguistic preferences into crisp values and the decision-making trial and evaluation laboratory (DEMATEL) method was used to assess the causal interrelationships among the attributes. The analytic network process (ANP) was adopted to construct the hierarchical framework, and fuzzy importance - performance analysis (IPA) was used to enhance our understanding of the gap between importance and performance. The results show that the efficiency and effectiveness of cities' waste management systems depend on the capability based on utilizing economic efficiency and technology advantages to foster social mobilization and environmental integrity. Practitioners should consider new data acquisition and communication technologies, the circular economy, technical capabilities, and organizational/leadership capabilities in their decision making to promote sustainable performance. To develop sustainable MSWM, suitable strategic solutions based on the resources and strengths of each city should be developed that consider formal, informal and small-scale sectors. • The resource-based view is applied to analyze the municipal solid waste management for improving the sustainable advantages. • Hybrid method is used to confirm the attributes' validity and reliability and construct a hierarchical structure. • Cities depend on the capability based on utilizing economic efficiency and technology advantages. • Practitioner has to involve new data acquisition and circular economy to promote sustainable performance. [ABSTRACT FROM AUTHOR]

A landfill after going over its limit will be closed down and stop receiving waste. A matter of concern here is how to reuse the landfill site efficiently while there are many closed landfills have been transformed into new land uses in the world. The purpose of the study is to find the best land use of a closed‐landfill site after studying the characteristics of landfill site by using the analytic hierarchy process (AHP) method. The data used in the study were collected from surveys on 15 experts in three fields (environment, urban planning, and policy development) and the locals. The final results were based on their experience in evaluating the weight of criteria and alternatives in the same survey. To achieve the purpose of the study, three main criteria, six subcriteria, and five alternatives were identified as being relevant to the redevelopment of Dong Ngo landfill site, Bac Ninh province in Vietnam. Hierarchy of decision levels for Dong Ngo case study has been tested and developed from the data in reality and has successfully assessed the best use option as energy generation option for the landfill site under a scenario of decision making. [ABSTRACT FROM AUTHOR]

In order to meet ambitious growth targets in the medium term, Vietnam must continue exploiting traditional energy sources. In the longer term, Vietnam has to develop a strategy and roadmap for the development of new energy sources. In these new energy sources, wind energy has emerged as a viable option. Given the geographic conditions of a locality with a long coastline and high winds that are fairly distributed all year, many wind-power plants are being built in Vietnam. One of the most important pieces of equipment in a wind-power plant is the wind turbine. The wind turbine suppliers' selection is a complex and multicriteria decision-making (MCDM) process that can reduce the costs of procuring equipment and aid in receiving products on time. Many studies have applied the MCDM model to various fields of science and engineering. One of the fields that the MCDM approaches have been applied to is the supplier selection problem. Supplier selection is an important issue of the MCDM model. Especially in a renewable energy project, decision-makers have to evaluate both natural and society factors. Although some researchers have reviewed the applications of the MCDM model in wind turbine supplier selection, limited work has focused on this problem in a fuzzy environment. Therefore, in this work, the authors propose a fuzzy MCDM model for the wind turbine supplier selection process under fuzzy environment conditions. In the first step, all factors for wind turbine supplier selection are identified by supply chain operations reference (SCOR) metrics and the results from a review of the literature. A fuzzy analytic network process (FANP) model is applied for determining the weight of all the criteria in the second stage, and the technique for order preference by similarity to an ideal solution (TOPSIS) model is used to rank all the potential suppliers in the final stage. As a result, Decision-Making Unit 010 (DMU010) becomes an optimal option for the wind turbine supplier selection processes. The contribution of this research is to develop new hybrid fuzzy MCDM approaches for wind turbine supplier selections. Furthermore, this work presents useful guidelines for wind turbines as well as provides a guideline for supplier selection in other industries. [ABSTRACT FROM AUTHOR]