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1.

Assessing organizational commitment and organizational citizenship behavior in ensuring the smoothness of the supply chain for medical hospital needs towards a green hospital: Evidence from Indonesia Pages 181-194 Right click to download the paper Download PDF

Authors: Ziaul Fatwa Andini Yusuf, Furtasan Ali Yusuf, Uli Wildan Nuryanto, Basrowi Basrowi

DOI: 10.5267/j.uscm.2023.10.006

Keywords: Organizational commitment, Organizational citizenship behavior, Supply chain, Green hospital

Abstract:
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.
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Journal: USCM | Year: 2024 | Volume: 12 | Issue: 1 | Views: 4037 | Reviews: 0

 

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