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Management Decision-Making, Big Data and Analytics
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Management Decision-Making, Big Data and Analytics

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October 2020 | 176 pages | SAGE Publications Ltd
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. 
 
 
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

Supplements

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Lecturer resources

  • PowerPoint Slides
  • Instructors Manual

Student resources

  • SAGE Journal Articles
  • Weblinks

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
University of Auckland Business School, Australia

This is a book for real people who have to make decisions and who want to use the best technology and data analytics available today. You do not need to be a technologist to make sense of this book. The many useful charts and diagrams, the recommended additional readings, insightful quotations that give voice to managers’ experiences in working with big data to make decisions, and summaries of key learning for each chapter all lend themselves to making the learning experience easier and more applicable. Most importantly, I think it is a book that will make you want to learn and read more on this critically important topic.

David Rooney
Macquarie Business School, Macquarie University, Australia

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Paperback
ISBN: 9781526492005
£34.99

Hardcover
ISBN: 9781526492012
£100.00