Rajat K. Baisya is Professor and Head of the Department of Management Studies at Indian Institute of Technology, Delhi (retired). He served as Visiting Professor at Ecole Nationale des Ponts (ENPC) International Business School, Paris, National Polytechnical University (NPU) Xian, China and Faculty of Logistics, University of Maribor, Slovenia. He served on the board of large public Sector Undertakings and Multinationls. He is internationally well-known Business consultants and a Fellow of many global professional bodies like International Council of Management Consuting Institute (ICMCI, USA) and World Academy of Productivity Sciences, Canada). He has also held senior positions in large corporations and multinationals including as President & CEO of Emami Group of Companies, Vice President of Reckitt Benckiser, General Manager (Projects) of Escorts Ltd, General Manager-Corporate Planning of United Breweries Group among many others.

James E. Burke, founder of DeepDive Foresight, brings expertise in business early warning, long-range planning, innovation, and business portfolio growth. A former U.S. Air Force missile and airborne operations officer, he held roles in tech acquisition and on the DoD Joint Staff, retiring as a Colonel. He later consulted for commercial and Federal clients and teamed on large scale proposals. Jim led the DC World Futures Society, chaired multiple nonprofits, and is a member of the Association of Professional Futurists.

List of Figures. List of Tables. Foreword. Preface. Acknowledgements. Abbreviations. Introduction 1. Imperatives: The enduring qualities of PPM in an everchanging world 2. Existing Models and Practices of Product Portfolio Management 3. Importance and Implications of ESG in Portfolio Management Decisions 4. Innovation Management to Develop Product Portfolios 5. Foresight Initiative for Portfolio Management 6. Rationalizing the Product Portfolio for Critical Management Decisions 7. Change Management for Portfolio Performance 8. Strategic Fusion: Aligning Corporate Strategy and Product Portfolios for Market Advantages 9. Implications of Artificial Intelligence for Product Portfolio Management 10. Product Portfolio Performance Measurement and Maturity 11. Conclusions and Key Lessons. Bibliography. Index.