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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
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Other Titles in:
Information Management (General) | Strategic Management & Business Policy (General)
Information Management (General) | Strategic Management & Business Policy (General)
October 2020 | 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
a useful resource on Management modules and for sessions on Decision Making.
Education, Buckinghamshire College Group
July 2, 2024
The book's detailed synthesis of theory and practical applications in using big data in decision-making. Also, the application of big data in business decision-making and the introductory knowledge level in exposing students unfamiliar with data analytics to the world of decision-making using big data.
Cardiff School of Management, Cardiff Metropolitan University
July 11, 2023
Content, structure and supporting PowerPoints are excellent for an introductory undergraduate course.
Business Administration, European School of Economics
April 13, 2021
