Buch, Englisch, 215 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Reihe: Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management
Data, Technology and Leadership
Buch, Englisch, 215 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Reihe: Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management
ISBN: 978-1-032-97020-2
Verlag: Taylor & Francis Ltd
This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in guiding an organization 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 optimizing processes, fostering innovation, and enhancing performance measurement. It also explores Six Sigma, Lean Management, reviews frameworks like Baldridge, EFQM, Excellence Canada, and other quality improvement frameworks, emphasizing 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 organizational development.
This book accomplishes the following:
- Highlights the role of data analytics and AI in process optimization and innovation; explores the critical factors driving sustained organizational success
- Introduces scenario planning and robust decision-making to develop strategies
- Distinguishes excellence from growth and presents it as a continuous improvement journey
- Considers institutionalized innovation and new product development as essential
- Covers Six Sigma, Lean Management, and other methodologies, emphasizes governance, ethics, and corporate social responsibility
Zielgruppe
Professional Practice & Development, Professional Reference, and Professional Training
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
- Technische Wissenschaften Technik Allgemein Technik: Allgemeines
- Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Wirtschaftswissenschaften Betriebswirtschaft Management Projektmanagement
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Wirtschaftswissenschaften Betriebswirtschaft Organisationstheorie, Organisationssoziologie, Organisationspsychologie
Weitere Infos & Material
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