1st Edition
The Silent Leadership Algorithm AI as a Strategic Partner for Sustained Growth
Acknowledgements
About the Authors
Chapter 1. The Silent Leadership Framework: Integrating Human Judgment and AI Insight
PART A – THE WHO – PRESENCE & JUDGMENT
Chapter 2. Cultivating Executive Sensitivity Skills in an AI‑Enabled World
Chapter 3. AI‑Enhanced Talent Recognition and Global Leadership Pipeline Development
PART B – THE HOW – EFFICIENCY & RESTRAINT
Chapter 4. Efficiency, Empathy, and Cultural Intelligence Through AI-Driven Insight
Chapter 5. Human–AI Synergy in Global Supply Chain Leadership
PART C – THE WHAT – ALIGNMENT & GROWTH
Chapter 6. Reducing Bias and Strengthening Decision Quality Through AI-Supported Analysis
Chapter 7. AI‑Enabled Resilience and Long‑Term Strategic Alignment
PART D – THE WHY – MISSION & VALUE
Chapter 8. Enhancing Inclusivity and Reducing Cognitive Bias Through AI‑Guided Communication
Chapter 9. AI‑Supported Stakeholder Sensemaking for Purpose‑Driven Strategy
PART E – PERSPECTIVES ON ACTION
Chapter 10. Strengthening Leadership Capabilities
Biography
Alan T. Belasen has more than three decades of experience enhancing executive capabilities across business, government, and healthcare sectors. His work centers on leadership effectiveness, strategic communication, trustworthy governance, and improving performance within complex organizational systems. As cofounder and longtime chair of the MBA Program at SUNY Empire University, Dr. Belasen spent nearly 12 years leading the design and expansion of high impact graduate programs. He played a pivotal role in launching and shaping the MBA in Management, Global Leadership, Healthcare Leadership, and the innovative MBA Pathway for Veterans, efforts that significantly broadened the university’s reach and strengthened its reputation for practitioner- focused management education.
Sylwia E. Starnawska is a Professor at SUNY Empire State University and the coordinator of the Global Finance and Investment graduate certificate program. She brings extensive leadership experience from the financial services sector, with a background in managing multinational financial institutions and working across international corporate finance, global capital markets, and cross‑border investment strategy.
Betul Lus is a Professor at SUNY Empire State University with more than 20 years of combined academic and applied professional experience in operations management, operations research, global supply chain management, and quantitative decision‑making. In addition to her scholarly work, she brings practical expertise in the design, analysis, and optimization of complex operational and supply chain systems. Her applied work has involved development and collaborative projects focused on process improvement, data‑driven decision support, capacity and flexibility planning, and the integration of analytics into business operations across a range of industries.
