Product Portfolio Management for Performance

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A01=James Burke
A01=Rajat Baisya
A01=Rajat K Baisya
advanced portfolio performance analysis
Artificial intelligence
Author_James Burke
Author_Rajat Baisya
Author_Rajat K Baisya
Balanced product lines
Category=GTM
Category=KJC
Category=KJMB
Category=KJMP
Category=KJMV5
Category=KJMV6
Category=KJQ
Category=KJS
change management processes
Culture
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_new_release
eq_nobargain
eq_non-fiction
ESG decision making
Forecasts
Foresight
innovation strategy
Integrated product planning and execution
machine learning applications
Product Portfolio Management
Scenario planning
stakeholder capitalism
Strategy
sustainable product design

Product details

  • ISBN 9781032765037
  • Weight: 660g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 Dec 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.

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