This research distinguishes “greenwashing” from “greenwinning,” arguing that transparent, audited ESG data reduces uncertainty and lowers financing costs. It shows how inconsistent ESG ratings create a “trust tax,” increasing risk. By making sustainability measurable, markets can allocate capital more efficiently toward genuinely responsible and high-performing companies.

Flash memory stores essential data but degrades with repeated use, limiting reliability in long-term applications like cars and satellites. Inspired by biological circadian rhythms, this research introduces “recovery periods” for memory cells to rest and repair. The approach improves flash memory lifespan up to ninefold, enabling more durable and dependable storage systems.

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.