Supply Chain 4.0 represents the digital transformation of supply chain systems through technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), big data analytics, blockchain, and automation. This study employs a combined bibliometric and qualitative analysis of 88 Scopus-indexed publications from 2016 to 2025 to explore emerging trends, research hotspots, and future directions in Supply Chain 4.0. The analysis reveals strong interdisciplinary engagement, with significant contributions from computer science, engineering, and management. Key themes include digitalization, sustainability, cybersecurity, and real-time analytics. The study also highlights gaps in conceptual frameworks, human capital development, data governance, and policy alignment. Through co-occurrence networks, bibliographic coupling, and thematic mapping, the research provides a comprehensive overview of global contributions and collaborative patterns. These findings offer a foundation for advancing theoretical development and guiding practical implementation in digitally enabled, agile, and sustainable supply chains. The study concludes by outlining several avenues for future research and strategic policy development.