This study aimed to study the influences of justice and trust on the organizational citizenship behavior. The questionnaire respondents were the workers at Rajamangala University of Technology. Data analysis was done through structural equation modeling to test the purpose model and compare between the groups via multiple groups analysis approach. It was found that justice and trust have a positive statistical significant influence on organizational citizenship behavior. Moreover, justice has a positive statistical significant influence on trust. Generation X and Generation Y differently perceive the influences of justice and trust on organizational citizenship behavior. Generation X paid attention to the influence of justice on the organizational citizenship behavior while generation Y paid attention to the influence of trust on justice, the chief will implement justice in the organization for both generations to build trust in the chief and the organization. This would lead to future achievements in the organization.

Motorcycle accidents can impede sustainable development due to the high fatality rate associated with motorcycle riders, particularly in developing countries. Although there has been extensive research conducted on motorcycle accidents on highways, there is a limited understanding of the factors contributing to accidents involving the most commonly used motorcycles on local roads. This study aimed to identify the root causes of fatal motorcycle accidents on local roads. The contributing factors consist of four groups: rider characteristics, maneuvers prior to the crash, temporal and environmental characteristics, and road characteristics. The study employed random parameters logit models with unobserved heterogeneity in means and variances while also incorporating the temporal instability principle. The results revealed that the data related to motorcycle accidents on local roads between 2018 and 2020 exhibited temporal variation. Numerous variables were discovered to influence the means and variances of the unobserved factors that were identified as random parameters. Male riders, riders over 50 years old, foreign riders, and accidents that occurred at night with inadequate lighting were identified as the primary factors that increased the risk of fatalities. This paper presents a clear policy recommendation aimed at organizations and identifies the relevant stakeholders, including the Department of Land Transport, traffic police, local government organizations, and academic groups.