The bauxite – alumina – aluminum industry plays an important role in industrial development while simultaneously creating substantial demand for natural resources and energy and generating significant waste streams, particularly red mud during alumina production. This study develops a circular economy model for the bauxite – alumina – aluminum value chain that seeks to optimize resource use, reduce waste and emissions, and increase product value. Based on an analysis of the technological chain from bauxite mining and beneficiation through Bayer-process alumina refining, aluminum smelting, downstream processing, and recycling, the study proposes an integrated model that closes loops for water, energy, heat, CO₂, and materials. The model also extends the value chain through deeper processing of aluminum products and the development of green logistics. The results indicate that the proposed model can establish a circular industrial ecosystem, improve resource-use efficiency, reduce waste generation and greenhouse-gas emissions, and increase the economic value captured from bauxite resources.
Operational auditing of mineral exploitation is highly complex due to large mining areas, difficult terrain, continuously changing extraction operations, and legal and environmental risks such as boundary violations, over - extraction, and pollution. In the practical context of the State Audit Office of Vietnam (SAV), audit evidence still relies heavily on documentation provided by enterprises, while on - site inspections remain constrained by time, resources, and safety. Quang Ninh Province is a major mining h ub, especially for coal exploitation — accounting for approximately 90% of national coal output — making technology - enabled audit enhancement increasingly necessary. This conceptual/framework paper synthesizes published UAV - surveying, remote - sensing and AI - monitoring studies together with a documented SAV audit case to propose an integrated model combining a UAV ecosystem and artificial intelligence (AI) — multi - sensor UAVs, RTK/GNSS positioning, multi - temporal satellite remote sensing, and AI algorithms (o bject detection, change detection, anomaly detection) — for auditing mineral exploitation activities, together with a step - by - step audit workflow tailored to the SAV for deployment in Quang Ninh. The model is designed to support: (i) license and boundary c ompliance verification; (ii) extraction and stockpile volume estimation using DEM/DSM and 3D models; (iii) automated detection of illegal mining traces and anomalies; and (iv) environmental impact monitoring for 3E assessment. Literature evidence indicates these functions are individually feasible; validating the integrated model itself requires a dedicated Quang Ninh pilot, identified here as the next step.
Drawing on the resource - based view and natural resource - based view, this study examines how green supply chain management practices influence the performance of e - Commerce enterprises. This study conceptualizes green supply chain management through five di mensions: intra - organizational environmental management, product eco - design, green supplier integration, green customer cooperation, and reverse logistics. The study further investigates the role of environmental performance in improving operational, econo mic, and social performance. Using a quantitative approach with partial least squares structural equation modeling, the study collected survey data from 162 managers and employees in e - Commerce enterprises. The results indicate that all five dimensions of green supply chain management practices positively affect environmental performance. Environmental performance subsequently enhances operational, economic, and social performance, while operational performance significantly and positively affects economic performance. However, social performance does not directly affect economic performance. The study contributes to theory by extending the resource - based view and natural resource - based view to the underexplored e - Commerce context. The results also suggest t hat e - Commerce enterprises should invest in eco - design, environmental management systems, supplier collaboration, customer engagement, and reverse - logistics capabilities to improve sustainability and competitiveness.
In the context of digital transformation, employee engagement has become a crucial factor for workforce stability, operational efficiency, and sustainable development, particularly in high-risk industries such as coal mining. This study examines the effect of corporate culture on employee engagement in coal mining enterprises in Vietnam and investigates the moderating role of digital transformation readiness. Data were collected through direct surveys of 356 employees and analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS. The results indicate that corporate culture has a positive and statistically significant effect on employee engagement. Digital transformation readiness positively moderates this relationship, suggesting that the effect of corporate culture on employee engagement becomes stronger when enterprises demonstrate higher readiness for digital transformation. The model explains 66.7% of the variance in employee engagement. The findings contribute empirical evidence from a traditional high-risk industry undergoing digital transformation and provide managerial implications for strengthening employee engagement through cultural development and digital readiness.
This study examines the influence of social proof on young consumers’ purchase behavior on the Shopee e - commerce platform and investigates the mediating role of fear of missing out (FOMO). Data were collected through an online survey of 674 Shopee users un der the age of 30 living, studying, or working in Hanoi and analyzed using partial least squares structural equation modelling (PLS - SEM). The results show that social proof has a positive and significant direct effect on purchase behavior and a strong posi tive effect on FOMO. FOMO also significantly increases purchase behavior. Moreover, the indirect effect of social proof on purchase behavior through FOMO is significant, indicating complementary partial mediation. The total effect of social proof on purcha se behavior reaches ( = 0.706), while the model explains 46.7% of the variance in FOMO and 61.2% of the variance in purchase behavior. These findings demonstrate that social proof influences young consumers through both informational and emotional pathways. The study contribute s to social influence, eWOM, and FOMO research in the Vietnamese e - commerce context and offers implications for platforms, online sellers, consumers, and policymakers.
