This study aims to examine the supply chain management perspective of subjective norms, attitude, perceived behavioral control, and intention on e-waste recycling behavior, and the mediating role of intention in the relationship between the factors of extended theory of planned behavior and e-waste recycling behavior. The research sample was students at some universities in Jakarta, Indonesia with data collected through an online questionnaire. The results of the analysis show that subjective norms, attitudes, perceived behavioral control, and intentions have significant effects on e-waste recycling behavior. In addition, intention can mediate the relationship between attitude and perceived behavioral control on e-waste recycling behavior. The implication highlighted the importance of the role of subjective norms, attitude, perceived behavioral control, and intention in influencing one's e-waste recycling behavior. Therefore, public awareness can pay attention to the factors of extended theory of planned behavior in helping to increase the awareness of e-waste recycling. From a theoretical point of view, the findings show that the Theory of Planned Behavior is a useful theoretical framework for understanding the behavior of e-waste recycling. Practically speaking, significant findings about the role of subjective norms, attitudes, perceived behavioral controls, and intentions in influencing e-waste recycling behavior can inform policies and programs aimed at promoting more responsible e-waste management.

This research was conducted to determine knowledge acquisition by employing digital technology for public sector employees. This study adopts system quality, information quality, user satisfaction, service quality, and net benefit as the empirical considerations. The data analysis technique in this study used SEM (Structural Equation Modeling). Respondents in this study were 198 people consisting of public sector employees who used a learning management system. The results showed that service quality has a significant effect on user satisfaction. User satisfaction has a significant effect on net benefits. Meanwhile, system quality had no significant effect on user satisfaction, information quality had a significant effect on user satisfaction. The findings would imply the strategies to strengthen the implementation of e- learning is to increase user satisfaction. The finding managerially points out the necessity to evaluate the transformation of classical training programs in terms of face-to-face learning to blended learning by integrating online learning and face-to-face in the public sector knowledge acquisition model of training. The findings present an evaluation using empirical examination and highlights the importance of continuity to arrange action plans in public sector to synchronize knowledge acquisition model through training to obtain behavioral change and wider organizational impact of the training on public sector institutions.