Management Decision-Making, Artificial Intelligence and Analytics

Höfundar: Simone Gressel; David J. Pauleen; Nazim Taskin (Útgáfa: 2)
Management Decision-Making, Artificial Intelligence and Analytics

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Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making.

Key updates include content on:  - How will AI impact management  - AI and automation - Emerging technologies including GenAI  - How AI may augment, change and replace human decision-making. - Ethical AI decision-making and responsible AI Suitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels.

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Útgefandi
SAGE Publications, Ltd. (UK)
ISBN
9781036239510
Print ISBN
9781036216641
Format
ePub
Útgáfa
2
Höfundar
Simone Gressel; David J. Pauleen; Nazim Taskin
Tungumál
English
Útgefið
2026-10-11
Prent takmörkun á líftíma
100
Prent takmörkun
30
Afritunar takmörkun
30

Kaflar

  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Toc brief
  • Contents
  • List of figures
  • List of tables
  • About the authors
  • Abbreviations
  • Foreword
  • 1 Professional Mindsets
  • Introduction
  • Management in the age of big data, analytics and artificial intelligence
  • The different mindsets of managers and information technologists
  • The importance of communication and shared mental models between managers and information technologists
  • Addressing the talent shortage
  • Chapter summary
  • Key lessons
  • References
  • 2 Big Data, Analytics and AI
  • Introduction
  • Technological evolution of data and its management
  • Data and analytics
  • What is big data?
  • From data to useful knowledge: The role of analytics, AI and humans
  • A critical look at big data: Opportunities and challenges
  • Chapter summary
  • Key lessons
  • References
  • 3 Introduction to (Advanced) Analytics
  • Introduction
  • Evolution of analytics
  • From data to information: Advanced analytics tools and techniques
  • Data and analytics in decision-making
  • Chapter summary
  • Key lessons
  • References
  • 4 Managing AI and Emerging Technologies
  • Introduction
  • Defining emerging technologies
  • Emerging technologies and management decision-making
  • Upcoming innovations
  • Chapter summary
  • Key lessons
  • References
  • 5 Management Decision-Making
  • Introduction
  • The importance of decision-making for managers
  • History of decision-making
  • Rational, naturalist and non-rational decision-making
  • Dual process theory: System 1 and system 2
  • Decision types and manager responses
  • Chapter summary
  • Key lessons
  • References
  • 6 Analytics in Management Decision-Making
  • Introduction
  • The role of analytics in decision-making
  • Specific roles of analytics in management decision-making
  • Contextual influences on data-driven decisions
  • Decision triggers
  • Decision types, decision processes and the roles of human judgment and analytics
  • Management knowledge, skills and abilities
  • Organizational culture and capabilities
  • Using analytics effectively
  • Chapter summary
  • Key lessons
  • References
  • 7 Types of Managerial Decision-Makers
  • Introduction
  • Types of managerial decision-makers
  • Assessment: Which manager decision-making type are you?
  • Chapter summary
  • Key lessons
  • References
  • 8 Organizational Readiness for Data-Driven Decision-Making
  • Introduction
  • An ecological framework of management decision-making
  • Team-Level influences: Analyst support
  • Organizational-level influences: Data-driven or traditional culture
  • Organizational maturity of analytics capabilities
  • Chapter summary
  • Key lessons
  • References
  • 9 Integrating Contextual Factors in Management Decision-Making
  • Introduction
  • The management decision-making environment in the age of big data, analytics and AI
  • Decision-making in practice: Case studies
  • Chapter summary
  • Key lessons
  • References
  • 10 Managing Technology’s Ethical, Security, Privacy and Legal Aspects
  • Introduction
  • Privacy and ethics of data acquisition and use
  • Legal obligations in organizational data collection and use
  • Organizational standards for data security and use
  • Chapter summary
  • Key lessons
  • References
  • Index