This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards excellence.
This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards excellence. Moving beyond conventional growth metrics, this book presents excellence as a continuous journey of improvement, integrating data-driven decision-making, digital transformation, and value-based leadership. The book highlights the transformative role of AI and advanced digital technologies in optimising processes, fostering innovation, and enhancing performance measurement. It also explores Six Sigma, Lean Management, review frameworks like Baldrige, EFQM, Excellence Canada and other quality improvement frameworks, emphasising the need for continuous process refinement. It is an essential resource for leaders, managers, and professionals in management, strategy, operations, and innovation, as well as scholars in management science and organisational development.
- Highlights the role of data analytics and AI in process optimisation and innovation, it explores the critical factors driving sustained organisational success.
- Introduces scenario planning and robust decision-making to develop strategies
- Distinguishes excellence from growth and presents it as a continuous improvement journey
- Considers institutionalised innovation and new product development as essential
- Covers Six Sigma, Lean Management, and other methodologies, emphasises governance, ethics, and corporate social responsibility
1. Introduction 2.Organizational Excellence
3. Measuring Organizational
Performance
4. Measuring performance in future
5. Business Excellence Models
revisited
6. Leadership
7. Policy and Strategy
8. Business Process Management
9. Innovation and New Product Development
10. Technological Innovation
11.
Managing Change
12. Ethics and Values: beyond Technology
13. References and
Suggested Reading
Shyama Prasad Mukherjee (1938-) started teaching Statistics in Presidency College, Calcutta in 1962 , joined the University of Calcutta in 1964 as a Lecturer, became Centenary Professor of Statistics in 1982. Beyond retirement in 2004, he remained a Visiting Professor till 2012. He has published around 120 research papers in reputed journals like Journal of Multivariate Analysis, Journal of Applied Probability, Naval Research Logistics Quarterly, Communications in Statistics, Sankhya, IEEE Transactions on Reliability, Calcutta Statistical Association Bulletin, Journal of the Indian Society of Agricultural Statistics, Journal of Indian Statistical Association, Opsearch, Micro-electronics & Reliability, International Journal of Probability & Statistics, etc. He has also published a host of expository and review articles and has authored several books and edited a few others. Dr. Mukherjee has guided 25 research workers in Statistics, Mathematics, Statistical and Probabilistic aspects of Management and Engineering, is the Chairman, Board of Directors, International Statistical Education Centre (ISI) and Mentor, Indian Association for Productivity, Quality & Reliability. He was President of the Indian Society of Probability & Statistics and Operational Research Society of India, and Vice-President of the International Federation of Operational Research Societies (IFORS). He has delivered lectures and conducted short courses in many universities in Asia, Europe, and North America.
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