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The dissertation "Complying with the U.S. Uyghur Forced Labor Prevention Act: A Descriptive Case Study" examined the challenges multinational corporations faced in ensuring no forced labor was present in their supply chains, particularly from China's Xinjiang region. The research identified the lack of clear frameworks for UFLPA compliance as a significant issue impacting thousands of importers. The study's purpose was to explore methods that companies could adopt to comply with UFLPA regulations and eliminate forced labor from their supply chains. The study was guided by Stakeholder Theory and Global Supply Chain Theory.
A qualitative descriptive case study design was employed, involving interviews with 14 experts from supply chain mapping companies, consulting firms, multinational corporations, and non-governmental organizations. Key questions addressed detecting forced labor, adopting UFLPA guidance, using monitoring tools, ensuring regulatory transparency, and supply chain remapping frequency. The data revealed common challenges, such as limited supplier visibility and unclear documentation requirements.
Findings suggested that best practices included engaging suppliers more closely, conducting third-party audits, and utilizing AI and data analytics for monitoring supply chains. Compliance was found to require continuous effort, not just a one-time task.
The study concluded that companies must adopt a comprehensive, proactive framework to ensure UFLPA compliance and protect human rights. Recommendations for practice included strengthening supplier collaboration, utilizing technology for transparency, and making supply chain mapping an ongoing process. The dissertation suggested that future research explore solutions like blockchain, challenges for smaller companies, and the long-term effects of these strategies.