This research examined the relationships between Organizational Commitment, Organizational Citizenship Behavior (OCB), the Supply Chain, and Green Hospital practices in a healthcare setting. A cross-sectional study was conducted using self-reported data from healthcare employees. Structural equation modeling was employed to analyze the relationships and mediation effects. The study confirmed that Organizational Commitment positively impacts the Supply Chain and Green Hospital practices. Similarly, Organizational Citizenship Behavior significantly influences the Supply Chain and Green Hospital initiatives. The Supply Chain was found to have a positive impact on Green Hospital practices and served as a mediator in the relationships between Organizational Commitment and Green Hospital and Organizational Citizenship Behavior and Green Hospital. The research provides valuable insights for healthcare organizations seeking to enhance their sustainability efforts. Fostering Organizational Commitment and Organizational Citizenship Behavior among employees can contribute to more efficient supply chain operations and environmentally responsible practices. The study underscores the crucial role of supply chain management in translating commitment and proactive behaviors into tangible sustainability initiatives. The research is context-specific, and using self-reported data and a cross-sectional design may limit generalizability. Future studies should explore these relationships in diverse settings and consider longitudinal or mixed-method approaches.

The aim of this research is to analyze the influence of the role of AI and big data in increasing the success of e-commerce assistance and its implications for the quality of the capacity development model for MSMEs with disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia. The sample in this study was 184 respondents consisting of 3 (three) regions including Serang City, Semarang City and Banjarmasin City, Indonesia. Sampling technique using technique random sampling. Data collected through questionnaires was then analyzed using SEM-PLS. The results of research and data analysis show that: The role of AI directly has a positive and significant effect on increasing the success of e-commerce assistance; Big Data directly has a positive and significant effect on increasing the success of e-commerce assistance; The role of AI directly has a positive and significant influence on the Quality of the MSME Capacity Development Model; Government Big Data directly has a positive and significant effect on the Quality of the MSME Capacity Development Model; Increasing the Success of E-Commerce Assistance directly has a positive and significant effect on the Quality of the Capacity Development Model for MSMEs with Disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia. Increasing the Success of E-Commerce Assistance is able to mediate indirectly on the Role of AI and Big Data on the Quality of the Capacity Development Model for MSMEs with Disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia.