In the expanding food delivery sector, particularly in Asia, where motorcycles are preferred for their efficiency, there has been an alarming rise in traffic safety incidents involving delivery riders. This increase highlights the need for a comprehensive understanding of safety outcomes within the industry, encompassing both organizational and personal factors. Our study, using data from 401 motorcycle delivery riders in Vietnam, addresses this gap with a conceptual model based on the Safety Climate Model. This model assesses the impact of safety climate, knowledge, and motivation on rider safety performance. Our findings reveal that factors like management values, effective safety communication, and quality safety equipment are crucial in creating a positive safety climate. This climate significantly boosts safety participation and compliance among riders. Furthermore, the study confirms that safety climate indirectly influences safety outcomes through safety knowledge and motivation. These results illustrate the dynamic between organizational practices and individual behaviors in determining safety in the food delivery industry. The study underscores the need for a holistic approach to safety, extending beyond equipment provision to include management commitment, communication, and motivational incentives. Implementing such comprehensive strategies is vital for enhancing rider safety, contributing to a safer work environment, and reducing safety–critical incidents among food delivery riders.

Transitioning to electric motorcycles (EMs) can reduce dependence on carbon-based fuels, mitigate air pollution, and lower greenhouse gas emissions in countries where motorcycles dominate the transportation landscape. However, the factors influencing fleet electrification in these countries remain largely unknown. Given that this challenge pertains to the prior adoption of new technology, technology acceptance theories can provide valuable insights into the adoption of EMs. Additionally, misinformation about EM risks and self-assessment of knowledge could interact as determinants of adoption. This study integrates the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and perceived risk to elucidate the impact of psychosocial factors on consumers' intentions to use EMs. Furthermore, it examines the direct and moderating effect of subjective knowledge about EM technology on the formation of this behavioral intention. Structural Equation Modeling (SEM) analysis was applied to investigate data collected from 762 respondents through personal interviews using a questionnaire. The results confirm that all original TAM and TPB constructs significantly influence behavioral intention, aligning with theoretical expectations. As hypothesized, perceived risk was found to exert a negative influence on the intention to adopt EMs. Additionally, subjective knowledge was observed to moderate the relationship between perceived usefulness and subjective norms concerning the intention to use EMs. These findings offer a roadmap for developing strategies aimed at encouraging adoption intentions toward EMs, particularly in countries like Vietnam.