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Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers.
The book successfully combines theory with practical application, featuring case studies, examples and a critical incidents feature that make these topics engaging and relevant for students of business and management.
The book features chapters on cutting-edge topics, including:
Big data
Analytics
Managing emerging technologies and decision-making
Managing the ethics, security, privacy and legal aspects of data-driven decision-making
The book is accompanied by an Instructor s Manual, PowerPoint slides and access to journal articles.
Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
List of contents
Chapter 1 Professional Mindsets
Chapter 2 Introduction to Big Data
Chapter 3 Introduction to (Advanced) Analytics
Chapter 4 Management Decision Making
Chapter 5 Analytics in Management Decision Making
Chapter 6 Types of Managerial Decision-Makers
Chapter 7 Organizational Readiness for Data-Driven Decision Making
Chapter 8 Integrating Contextual Factors in Management Decision making
Chapter 9 Managing the Ethics, Security, Privacy, Legal Aspects of Data-Driven Decision-Making
Chapter 10 Managing Emerging Technologies and Decision Making
About the author
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.
David Pauleen
David 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 Taskin
Nazim 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.
Summary
An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.
Report
This book is essential reading for those wanting to understand the role of big data and business analytics in management decision making.
Professor Michael D. Myers 20200415
