Management Decision-Making, Big Data and Analytics

Author: Simone Gressel, David Pauleen, Nazim Taskin, & 0 More

ISBN: 978-9354793943

Price: Rs. 799.00 • ✓ 100% Genuine Publisher Edition

Book Overview

This engaging textbook approaches data analytics from a managerial perspective and explores how managers can use data to take better decisions. Management Decision-Making, Big Data and Analytics is set apart by the fact that it places the human element of data analytics at its centre. While discussing sophisticated technology, it never forgets the people who will ultimately use these tools in business. This book addresses the cultural gap that often exists between information technologists and managers who must take decisions using new technology. Cutting-edge technologies such as big data, AI, deep learning and augmented intelligence are explained in terms that can be understood by readers with little or no background in technology. Combining theory with practical application, the authors make the topics in the book engaging and relevant for students of management. Key Features: Features case studies, examples and a 'critical incidents' section that relates theories to real business situations Discusses managing the ethics, security, privacy and legal aspects of data-driven decision-making Explores emerging technologies and how they are applicable to managerial decision-making

Browse this title within our Analysis & Strategy collection. Edition details: Paperback, English, 304 pages. Reference ISBN: 978-9354793943.

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.

Why Readers Pick This Edition

• You’ll love how this book makes complex analytics feel practical, human and relevant to real managerial decisions. Instead of drowning you in tech jargon, it explains big data, AI and analytics in a way you can actually use at work or in class. With real case studies and critical incidents, you learn not just the tools, but how managers think, decide and bridge the gap between technology and business outcomes.
• Published by SAGE Publications Pvt. Ltd.
• Language: English.
• Page count: 304.

Catalog Description

This engaging textbook approaches data analytics from a managerial perspective and explores how managers can use data to take better decisions. Management Decision-Making, Big Data and Analytics is set apart by the fact that it places the human element of data analytics at its centre. While discussing sophisticated technology, it never forgets the people who will ultimately use these tools in business. This book addresses the cultural gap that often exists between information technologists and managers who must take decisions using new technology. Cutting-edge technologies such as big data, AI, deep learning and augmented intelligence are explained in terms that can be understood by readers...

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Also Found In

• Analysis & Strategy
• Social Sciences and Education
• Business Management

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