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Management Decision-Making, Big Data and Analytics
- Simone Gressel - The Hague University of Applied Sciences, Netherlands.
- David J. Pauleen - Massey University, New Zealand
- Nazim Taskin - Massey University, New Zealand, Bogazici University, Management Information Systems Department, Istanbul, Turkey
Additional resources:
January 2021 | 336 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.
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
Click for online resources
Lecturer resources
- PowerPoint Slides
- Instructors Manual
Student resources
- SAGE Journal Articles
- Weblinks
Content, structure and supporting PowerPoints are excellent for an introductory undergraduate course.
Business Administration, European School of Economics
March 27, 2021