This dissertation introduces a mixed-methods framework integrating midwifery, meteorology, and geography to study Black birthing outcomes. Rejecting deficit-based comparisons, it centers community-specific strengths and environments. Through qualitative studies of Black midwifery and quantitative climate analyses, the work offers a more holistic, justice-oriented approach to environmental health research.

This research investigates the limitations of AI-driven enterprise resource planning systems in multinational corporations. Using mixed methods, it examines ethical risks, data integrity, training gaps, and system migration challenges. The study aims to help organisations implement ERP systems more effectively, reducing financial losses while critically evaluating whether AI delivers its promised efficiency.