This study explores the prediction of concrete compressive strength using machine learning models, aiming to overcome the time-consuming and complex nature of conventional methods. Four models—an artificial neural network (ANN), a multiple linear regression, a support vector machine, and a regression tree—are employed and compared for performance, using evaluation metrics such as mean absolute deviation, root mean square error, coefficient of correlation, and mean absolute percentage error. After preprocessing 1030 samples, the dataset is split into two subsets: 70% for training and 30% for testing. The ANN model, further divided into training, validation (15%), and testing (15%), outperforms others in accuracy and efficiency. This outcome streamlines compressive strength determination in the construction industry, saving time and simplifying the process.

This study rigorously examines the relationship between circular economy service quality and brand value, focusing on the mediating roles of customer satisfaction, brand image, and customer loyalty. Amid the growing adoption of circular economy principles to enhance sustainability and resource efficiency, the impact of such practices on brand value remains underexplored. This research addresses this gap by developing and testing an integrated model of circular economy service quality and its influence on brand value. Using a quantitative methodology, this study collected data from customers engaged with companies employing circular economy practices. A structured survey assessed the perceptions of circular economy service quality, customer satisfaction, brand image, customer loyalty, and brand value. Advanced statistical techniques, including structural equation modeling (SEM), were employed to analyze the data and evaluate the proposed relationships. The results revealed significant positive correlations between circular economy service quality, customer satisfaction, brand image, and customer loyalty. Furthermore, the mediating roles of customer satisfaction, brand image, and customer loyalty in the relationship between circular economy service quality and brand value were validated. High-quality circular economy services fostered customer satisfaction, enhanced brand image, and strengthened customer loyalty, collectively driving increased brand value. This research underscored two critical implications. First, circular economy service quality was identified as a pivotal factor in enhancing brand value. By offering sustainable and efficient services, organizations can deliver superior customer experiences, cultivate a strong brand image, and ultimately boost brand value. Second, the mediating variables—customer satisfaction, brand image, and customer loyalty—were shown to play essential roles in amplifying the impact of circular economy service quality on brand value. Organizations should strategically focus on optimizing these factors to maximize brand performance. These findings provide valuable insights for businesses aiming to integrate sustainability into their operations while enhancing brand equity and market performance.

The implementation of circular economy principles is increasingly seen as a viable way to promote sustainable development and reduce environmental impact. This case study examines the implementation of circular economy principles at the Taiwan Sugar Company (TSC), a leading sugar manufacturer in Taiwan. This study analyzes the company’s efforts to redesign its production processes, develop closed-loop systems, and promote resource efficiency. It also explores the challenges and opportunities associated with implementing circular economy principles in the sugar industry, such as the complexity of supply chains, the need for stakeholder engagement, and the availability of sustainable technologies. This study follows the principles of British standard 8001:2017 to implement the concept of a circular economy into the organization. This study finds that the Taiwan Sugar Company has made significant progress in implementing circular economy principles, including adopting renewable energy sources, using byproducts as raw materials, developing sustainable packaging solutions, and using the output products of the company to make another useful product for industrial or agricultural use. These initiatives will result in the reduction of waste, an increase in resource efficiency, and enhanced environmental performance. However, this study also identifies several challenges that the company faces in implementing circular economy principles, such as the lack of standardized regulations and guidelines, the need for investment in sustainable technologies, and the need for stakeholder collaboration. Overall, this case study provides valuable insights into the implementation of circular economic principles in the sugar industry and offers practical recommendations for other organizations seeking to adopt circular economy principles. This study highlights the importance of stakeholder engagement, technological innovation, and regulatory support in promoting a transition toward a more sustainable and circular economy.

This study rigorously examines the relationship between circular economy service quality and brand value, focusing on the mediating roles of customer satisfaction, brand image, and customer loyalty. Amid growing adoption of circular economy principles to enhance sustainability and resource efficiency, the impact of such practices on brand value remains underexplored. This research addresses the gap by developing and testing an integrated model of circular economy service quality and its influence on brand value. Using a quantitative methodology, the study collected data from customers engaged with companies employing circular economy practices. A structured survey assessed perceptions of circular economy service quality, customer satisfaction, brand image, customer loyalty, and brand value. Advanced statistical techniques, including structural equation modeling (SEM), were employed to analyze the data and evaluate the proposed relationships. The results reveal significant positive correlations between circular economy service quality, customer satisfaction, brand image, and customer loyalty. Furthermore, the mediating roles of customer satisfaction, brand image, and customer loyalty in the relationship between circular economy service quality and brand value are validated. High-quality circular economy services foster customer satisfaction, enhance brand image, and strengthen customer loyalty, collectively driving increased brand value. This research underscores two critical implications. First, circular economy service quality is identified as a pivotal factor in enhancing brand value. By offering sustainable and efficient services, organizations can deliver superior customer experiences, cultivate a strong brand image, and ultimately boost brand value. Second, the mediating variables—customer satisfaction, brand image, and customer loyalty—are shown to play essential roles in amplifying the impact of circular economy service quality on brand value. Organizations should strategically focus on optimizing these factors to maximize brand performance. The findings provide valuable insights for businesses aiming to integrate sustainability into their operations while enhancing brand equity and market performance.

Environmental literacy plays a crucial role in promoting sustainable behavior and increasing public participation in environmental protection. This study investigates the environmental literacy of the general public in Chiayi County, Taiwan, focusing on five key dimensions: environmental awareness, knowledge, attitudes, action skills, and behavior. A cross-sectional survey was conducted using a structured questionnaire, with data analyzed through SPSS, including descriptive statistics, factor analysis, reliability testing, hierarchical regression analysis, and moderation analysis. The results indicate that while respondents demonstrate high awareness of environmental issues and positive attitudes toward sustainability, there are significant gaps in environmental knowledge and action skills. Furthermore, demographic factors such as education, age, gender, and occupation moderate the relationships between these dimensions. These findings highlight the need for targeted educational initiatives and policy interventions to bridge the gap between awareness and actual environmental behavior. This study provides empirical insights for environmental education programs, emphasizing the importance of practical skill development, community engagement, and policy-driven support. By refining environmental education strategies, Taiwan can foster a more environmentally responsible society, contributing to long-term sustainability goals.

This study explores the prediction of concrete compressive strength using machine learning models, aiming to overcome the time-consuming and complex nature of conventional methods. Four models—Artificial Neural Network, Multiple Linear Regression, Support Vector Machine, and Regression Tree—are employed and compared for performance. Evaluation metrics such as Mean Absolute Deviation, Root Mean Square Error, Coefficient of Correlation, and Mean Absolute Percentage Error are used. After preprocessing 1030 samples, the dataset is split into 70% for training and 30% for testing. The ANN model, further divided into training, validation (15%), and testing (15%), outperforms others in accuracy and efficiency. This outcome streamlines compressive strength determination in the construction industry, saving time and simplifying the process.