Policy, Governance, and Global Collaboration for Data-Driven Sustainable Supply Chains
Abstract
The study aimed to review and develop a policy framework for data-driven, sustainable supply chain governance and global collaboration in LDCs. The study was based on secondary data and an exploratory design based on general case studies of Bangladesh, Rwanda, Uganda, Nepal, Ghana, Cambodia, and Bhutan. The findings reveal that infrastructure deficits, institutional failure, technical power shortfalls, and political and administrative gaps hinder transformation despite hopeful changes. The study adopts a seven-step integrated policy approach to create digital infrastructure, data governance frameworks, analytics functionality, traceability frameworks, adaptive governance functions, multi-stakeholder cooperation, and inclusive socio-economic outcomes. The study provides a theoretical framework for sustainable supply chain digitization in a resource-scarce context and offers practical guidance for policymakers, practitioners, and international development organizations.
Fields of Study & Subjects
E-Government and Public Services
Sustainability and Climate Change Governance
Recycling and Waste Management Techniques
Publication details
- Journal / source
- Enhancing Sustainability in Global Supply Chains With Big Data Analytics
- Publisher
- IGI Global Scientific Publishing
- Pages
- 311–346
- Publication date
- 5 March 2026
- Language
- NG
- Document type
- Book chapter