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Management Decision-Making, Artificial Intelligence and Analytics de David Pauleen

Management Decision-Making, Artificial Intelligence and Analytics

Autor David Pauleen, Nazim Taskin, Simone Gressel
en Limba Engleză Hardback – 14 noi 2026
Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers.

The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making.

Key updates include content on:
- How will AI impact management
- AI and automation
- Emerging technologies including GenAI
- How AI may augment, change and replace human decision-making.
- Ethical AI decision-making and responsible AI

Suitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels.


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Specificații

ISBN-13: 9781036216641
ISBN-10: 1036216640
Pagini: 320
Dimensiuni: 170 x 242 mm
Ediția:2 Revised edition
Editura: SAGE Publications Ltd

Notă biografică

Simone Gressel

Simone Gressel (PhD) is a lecturer at The Hague University of Applied Sciences in the Netherlands. She has studied in Germany, the Netherlands, the United States, and completed her doctoral studies in Management and Information Systems in New Zealand. As part of the Management Analytics Decision Making group, her research aims at exploring the role of analytics and big data as well as human factors such as intuition and experience in the managerial decision-making process, and how a balance between both can be established. She has also held Director positions in the IT industry.

Cuprins

Chapter 1: Professional Mindsets
Chapter 2: Big Data, Analytics and AI
Chapter 3: Introduction to (Advanced) Analytics
Chapter 4: Managing AI and Emerging Technologies
Chapter 5: Management Decision-Making
Chapter 6: Analytics in Management Decision-Making
Chapter 7: Types of Managerial Decision-Makers
Chapter 8: Organizational Readiness for Data-Driven Decision-Making
Chapter 9: Integrating Contextual Factors in Management Decision-Making
Chapter 10: Managing Technology's Ethical, Security, Privacy and Legal Aspects