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To achieve the Sustainable Development Goals (SDGs) in the era of Logistics 4.0, machine learning (ML) techniques and simulations have emerged as highly optimized tools. This study examines the operational dynamics of a supply chain (SC) in Vietnam as a case study utilizing an ML simulation approach.

A robust fuel consumption estimation model is constructed by leveraging multiple linear regression (MLR) and artificial neural network (ANN). Subsequently, the proposed model is seamlessly integrated into a cutting-edge SC simulation framework.

This paper provides valuable insights and actionable recommendations, empowering SC practitioners to optimize operational efficiencies and fostering an avenue for further scholarly investigations and advancements in this field.

This study introduces a novel approach assessing sustainable SC performance by utilizing both traditional regression and ML models to estimate transportation costs, which are then inputted into the discrete event simulation (DES) model.

This study aims to explore the factors influencing sustainable entrepreneurial intentions in Vietnam.

A survey of 330 university students in Vietnam was conducted, and the data were analyzed using multiple regressions. Applying the theory of planned behavior and the entrepreneurial event model as theoretical lens, the findings suggest that attitude toward sustainability and perceived entrepreneurial feasibility influence positively sustainability-oriented entrepreneurial intentions.

Contrary to what expected, perceived entrepreneurial desirability has no impact on sustainability-oriented entrepreneurial intentions. In addition, attitude toward sustainability is positively influenced by altruism and intrinsic rewards, whereas perceived entrepreneurial feasibility is positively related to self-efficacy and negatively related to job security. Finally, perceived entrepreneurial desirability is positively influenced by intrinsic rewards.

The research applies the entrepreneurial intention model to sustainable entrepreneurship in the Vietnamese context, highlighting the need to consider variations in entrepreneurial opportunities in intention models and the potential conflict between different work values.