Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making

Inhaltsverzeichnis (Table of Contents)

• Foreword
• List of abbreviations
• 1 Introduction
• 2 Basics
  • 2.1 Current economic environment of German companies
  • 2.2 Information and data
  • 2.3 Digitization and Big Data
  • 2.4 Artificial Intelligence
  • 2.5 Other relevant aspects
  • 2.6 Entrepreneurial Management 4.0
• 3 Analysis of decision-making in management
  • 3.1 Key decision-making functions of management
  • 3.2 Key factors in decision-making
  • 3.3 Human decision-maker versus artificial intelligence
  • 3.4 Decision-making insights
• 4 Analysis of the feasibility of artificial intelligence in practice
  • 4.1 Basic needs
  • 4.2 Risks
  • 4.3 Insights into feasibility
• 5 Concluding remarks
• Bibliography

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This work aims to provide a scientifically sound analysis of the role of artificial intelligence in management decision-making. It explores the current economic environment, the concept of big data, and the potential of AI as a disruptive technology. The text analyzes the feasibility and implications of AI in practical business applications. The key themes of this work include:

• The impact of digitization and big data on business operations
• The role of artificial intelligence in management decision-making
• The potential benefits and risks associated with AI implementation
• The practical feasibility of AI in various business contexts
• The impact of AI on the traditional role of human decision-makers

Zusammenfassung der Kapitel (Chapter Summaries)

The first chapter provides an introduction to the topic of big data and artificial intelligence in management, highlighting their relevance and importance in the modern business world. The second chapter delves into the basics of big data and artificial intelligence, exploring their definitions, applications, and potential impact on various industries. It examines the current economic environment of German companies and explores the role of information and data in decision-making. The third chapter focuses on the analysis of decision-making in management, examining key decision-making functions, factors influencing decision-making, and the potential role of artificial intelligence. It compares the capabilities of human decision-makers with those of AI systems. The fourth chapter delves into the practical feasibility of artificial intelligence, examining the basic needs, risks, and insights into its implementation.

Schlüsselwörter (Keywords)

The primary focus of this work is on the application of big data and artificial intelligence in business management. Key terms and concepts include: digitization, big data, AI, decision-making, feasibility, risk, benefits, business operations, and human decision-makers.