This book offers innovative strategies for designing an Integrated Product Portfolio Management (IPPM) system that prioritizes customers, quality, growth, and profits.
This book offers innovative strategies for designing an Integrated Product Portfolio Management (IPPM) system that prioritizes customers, quality, growth and profits.
It explores current frameworks for building product portfolios and provides creative ways to adapt to dynamic environments. The authors present practical solutions to overcome challenges and ensure products and services remain competitive amidst shifting stakeholder expectations, customer demands, economic changes, technological advancements and social trends. The book includes case studies from different industries and showcases ways to balance product portfolios, analyze trends, adapt to changing market conditions, anticipate hurdles, and build flexible and sustainable product portfolios. It highlights the role of machine learning, including applications of ChatGPT, and examines the evolving nature of stakeholder capitalism, emphasizing environmental, social and governance pressures. A practical guide for leaders and individuals looking to advance innovation, it offers personal, professional and corporate guidance on ways to improve the odds of product and service success.
This book will be a valuable resource for middle and senior managers, strategic planners and product development professionals. It also will be of interest to students and faculty in marketing, product management, entrepreneurship and small business management, project management, strategic management and business leadership.
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.
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 ManagerCorporate 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.
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