Management Decision-Making, Artificial Intelligence and Analytics

Häftad, Engelska, 2026

AvSimone Gressel,David Pauleen,Nazim Taskin

779 kr

Kommande

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.

Produktinformation

Utgivningsdatum2026-11-14
Mått170 x 242 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor384
Upplaga2
FörlagSAGE Publications
ISBN9781036216634

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Simone GresselSimone 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.David PauleenDavid J. Pauleen (PhD) is professor of Technology Management at Massey University, New Zealand. His current research revolves around wisdom in management, personal knowledge management, knowledge management, cross-cultural management, emerging work practices, and virtual team leadership dynamics, communication and technology. His work has appeared in numerous top journals including: Information Systems Journal (2018), Decision Sciences Journal (2018), Journal of Business Ethics (2019, 2013), Journal of Management Information Systems (2003-04), and Journal of Information Technology (2001). He is editor of the book, Cross-Cultural Perspectives on Knowledge Management (2007), and co-editor of Personal Knowledge Management: Individual, Organizational and Social Perspectives (2010) and the Handbook of Practical Wisdom: Leadership, Organization and Integral Business Practice (2013). He has co-authored the book, Wisdom, Analytics and Wicked Problems: integral decision-making in the information age (2019). and is the co-editor of the Routledge Practical Wisdom in Leadership and Organization Series.Nazim TaskinNazim Taskin is a Senior Lecturer at School of Management, Massey University, New Zealand. He holds a PhD in Interdisciplinary Studies from University of British Columbia, Okanagan, Canada. His research interests include Enterprise Systems, Strategic IS/IT Alignment, Big Data and Analytics, Decision Making and Knowledge Management. Nazim has published in various journals, conferences including Australasian Journal of Information Systems, Journal of Knowledge Management, Journal of Electronic Commerce, Journal of Enterprise Information Management, Business Strategy and the Environment, Hawaii International Conference on System Sciences (HICSS), Australasian Conference on Information Systems (ACIS), Americas Conference on Information Systems (AMCIS), and European Conference on Information Systems (ECIS). He has co-authored a book chapter as well.

Chapter 1: Professional MindsetsChapter 2: Big Data, Analytics and AIChapter 3: Introduction to (Advanced) AnalyticsChapter 4: Managing AI and Emerging TechnologiesChapter 5: Management Decision-MakingChapter 6: Analytics in Management Decision-MakingChapter 7: Types of Managerial Decision-MakersChapter 8: Organizational Readiness for Data-Driven Decision-MakingChapter 9: Integrating Contextual Factors in Management Decision-MakingChapter 10: Managing Technology’s Ethical, Security, Privacy and Legal Aspects