Research Frontiers in Intelligent Systems: AI, Machine Learning, and Blockchain in Organizational Context is a forward-looking academic volume that explores how intelligent technologies are reshaping modern enterprises. This book presents a comprehensive examination of Artificial Intelligence (AI), Machine Learning (ML), and Blockchain as transformative forces driving innovation, efficiency, transparency, and strategic advantage across industries.
Designed for researchers, academicians, management professionals, and postgraduate students, the book bridges the gap between theory and real-world organizational practice. It covers foundational concepts, advanced analytical models, data-driven decision-making frameworks, and decentralized architectures, while highlighting ethical considerations, governance challenges, cybersecurity implications, and regulatory perspectives.
Through empirical studies, case analyses, and interdisciplinary insights, the text demonstrates how AI-powered automation enhances operational excellence, how machine learning enables predictive intelligence, and how blockchain ensures trust, security, and accountability in digital ecosystems. Special emphasis is placed on digital transformation strategies, intelligent supply chains, fintech innovations, smart governance, and sustainable organizational models.
By integrating technological depth with managerial relevance, this book serves as a critical resource for understanding the research frontiers shaping the future of intelligent organizations in the digital economy.
