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.

As outdoor air pollution in Thailand increases and indoor environments begin to trap the accumulation of fine particulate matter (PM 2. 5) outside and produce it inside, the protection of indoor air quality (IAQ) in municipal offices is an issue of public-health concern. In this paper, we test determinants of the behavioral intention to use (BIU) portable air purifiers in municipal executives by combining the theory of planned behavior (TPB) and technology acceptance model (TAM) with a structural equation modelling (SEM) model based on a survey of n = 320 municipal executives across the country. Findings reveal that the perceived innovativeness and effectiveness of air purifiers, as a constitute of a key antecedent of adoption, has positive and significantly large standardized path coefficients both directly affecting BIU and indirectly, through perceived behavioral control (PBC) and perceived ease of use (PEOU). Results also indicate that BIU is related to environmental air characteristics (EAC) in the perception of executives regarding ambient and indoor air conditions and that this influences adoption through PBC and, indirectly through performance expectancy (PE) (all significant paths p < 0.001). Collectively, the evidence cannot cause an effect but indicates strong in-direct pathways that can be used to support an explanation of technology acceptance in the workplaces of the public sector. The findings highlight the significance of the user-centered design, the ability to build capabilities, as well as to communicate the air-purifier performance in a clear way helping to improve perceived control and expectancy. This research can inform policy-makers with respect to ad-ministration of cities because it connects the concepts of IAQ management, occupational health, and sustainable procurement and emphasizes how convenient data dashboards and online visualizations of air quality can shape the willingness of executives to implement air purifying technologies.