Corporate Leadership. The Influence of Artificial Intelligence

Thèse de Bachelor , 2023 , 87 Pages , Note: 1.6

Gestion des ressources humaines - Styles de management

Artificial intelligence is rapidly changing the world of work and, with it, the way leaders run companies and institutions. In recent years, more and more companies have implemented artificial intelligence (AI) in different areas. The question that arises and what the following work is aimed at is the question of what influence an implementation of AI has on leadership and what this means for the entire management. The resulting research gap is examined, analysed and evaluated through a systematic literature review of current scientific sources and through expert interviews with international executives.

The literature evaluation and the expert interviews led to the conclusion that many executives welcome the topic of AI and are open to a possible implementation in the corporate structure. However, it could also be analysed that some experts expect a certain change and shift in leadership style towards a more technical leadership style. The future, therefore, calls for leaders who are open to technical implementations such as AI but also leaders who simultaneously promote the uniquely human skills of employees and integrate AI into their leadership style.

Table of Contents

List of Figures

List of Abbreviations

Abstract

1 Introduction
1.1 Goals and Objectives
1.2 Research Question
1.3 Methodology

2 Theoretical framework and literature review
2.1 Leadership and management
2.1.1 Conceptual framework
2.1.2 Development and current situation
2.1.3 Leadership objectives and issues in corporations
2.1.4 Summary
2.2 Artificial Intelligence
2.2.1 Conceptual framework
2.2.2 Development and current situation
2.2.3 Machine Learning and deep learning
2.2.4 Objectives of artificial intelligence in corporations
2.2.5 Summary
2.3 Technologies impact on corporate leadership
2.3.1 The influence of artificial intelligence in companies
2.3.2 The impact of artificial intelligence on corporate leadership
2.3.3 Summary

3 Empirical Research: Expert Interviews
3.1 Development of Interview Guidelines
3.2 Selection of different multinational Experts
3.3 Method of Analysis
3.4 Presentation of Results
3.5 Key Findings from Empirical Research

4 Discussion
4.1 Analysis of the literature review and expert interviews
4.2 Limitations and Further Research

5 Conclusion and Practical Implications

Appendix

Sources

• Université: University of Applied Sciences Bremen
• Note: 1.6
• Année de publication: 2023
• Pages: 87
• N° de catalogue: V1354767
• ISBN (PDF): 9783346878144
• ISBN (Livre): 9783346878151
• Langue: anglais
• mots-clé: leadership, artificial intelligence, machine learning, deep learning management, executives, organisational change, corporate strategy, deep learning