Research on Collaborative Governance Models in the Operation of Intelligent Logistics Systems

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Published: 2026-02-22
Keywords:
collaborative governance, intelligent logistics systems, supply chain management, public-private partnerships, logistics networks, data sharing, technology adoption

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Xuanmin Che
R&T Logistics Inc, Hawthorne, CA, 90250, USA

Abstract

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.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

Research on Collaborative Governance Models in the Operation of Intelligent Logistics Systems. (2026). Journal of Sustainability, Policy, and Practice, 2(1), 174-184. https://schoalrx.com/index.php/jspp/article/view/88

References

1. E. L. Mészáros, “Collaborative Governance for Smart and Sustainable Cities of the 21st Century. Case Study: The City of Oradea,” Eur. Stud.-Rev. Eur. Law, Econ. Polit., vol. 8, no. 1, pp. 205-221, 2021.

2. J. U. Jung and H. S. Kim, “Big data governance for smart logistics: a value-added perspective,” in Conf. Internet Things Smart Spaces, Cham, 2015, pp. 95-103.

3. W. Liu, Y. Gao, T. Liu, S. Long, K. W. Li, Z. Chen, and O. Tang, “Collaborative evolution of logistics platform governance: a three-party evolutionary game perspective,” Ann. Oper. Res., pp. 1-40, 2024.

4. W. Liu, Y. Liang, S. Wei, and P. Wu, “The organizational collaboration framework of smart logistics ecological chain: a multi-case study in China,” Ind. Manage. Data Syst., vol. 121, no. 9, pp. 2026-2047, 2021.

5. S. Moazzeni and F. Sgarbossa, “Collaborative logistics and digital technologies in rural contexts: a systematic review and a decision aid model for logistics decision-makers,” NHH Dept. Bus. Manage. Sci. Discuss. Paper, no. 2015/12.

6. R. Gumzej, Intelligent logistics systems for smart cities and communities. Berlin/Heidelberg, Germany: Springer, 2021.

7. Z. Lin, P. Xiangli, Z. Li, F. Liang, and A. Li, “Towards metaverse manufacturing: A blockchain-based trusted collaborative governance system,” in Proc. 2022 4th Int. Conf. Blockchain Technol., 2022, pp. 171-177.

8. S. Shan, X. Duan, Y. Zhang, T. T. Zhang, and H. Li, “Research on collaborative governance of smart government based on blockchain technology: an evolutionary approach,” Discrete Dyn. Nat. Soc., vol. 2021, no. 1, 2021.

9. B. W. Wirtz and W. M. Müller, “An integrative collaborative ecosystem for smart cities—a framework for organizational governance,” Int. J. Public Admin., vol. 46, no. 7, pp. 499-518, 2023.

10. O. B. Babatunde, C. T. Okonji, Z. S. Olanihun, and H. A. Daniel, “Public-Private Partnerships in Advancing AI-Based Logistics,” NIU J. Humanit., vol. 10, no. 2, pp. 87-100, 2025.

11. H. Shan, Y. An, H. Bai, and J. Shi, “Intergovernmental collaborative governance of emergency response logistics: an evolutionary game study,” Nat. Hazards, vol. 121, no. 1, pp. 705-730, 2025.

12. L. Varella, M. B. Gonçalves, R. M. Branski, and O. F. Lima Júnior, “Governance in intelligent logistics platforms through Information and communication thecnology,” Anais, 2016.