This research investigates collaborative governance models within intelligent logistics systems, focusing on how these models impact operational efficiency, adaptability, and resilience. The study examines various governance structures, including public-private partnerships, industry consortia, and platform-based ecosystems, analyzing their effectiveness in managing complex logistics networks. Key performance indicators such as delivery time, cost optimization, and environmental sustainability are used to evaluate the different models. Furthermore, the research explores the role of technology, data sharing, and trust in fostering successful collaboration among stakeholders. The findings contribute to a better understanding of how to design and implement collaborative governance models that enhance the performance of intelligent logistics systems and promote sustainable development. A mixed-methods approach, combining quantitative analysis of logistics data with qualitative case studies of successful and unsuccessful collaborations, is employed. The research aims to provide actionable insights for policymakers, logistics companies, and technology providers seeking to improve the governance and operation of intelligent logistics systems.
