Modern Leadership and artificial intelligence E-Book

Dr. Maged Hassanien

• Herausgeber: epubli
• Kategorie: Fachliteratur
• Sprache: Englisch

Seitenzahl: 54

Veröffentlichungsjahr: 2024

Beschreibung

The world of work is already subject to constant change due to demographic change, changing values, a shortage of skilled labour and technological developments: As a result, the requirements for good leadership are also changing and the methods and tools of the past are no longer sufficient. Competent management of employees plays a central role in the increasing competition for qualified specialists ("war for talent") for the success of a company. In an increasingly dynamic, networked and international world of work, the adaptability and willingness of managers and employees to cooperate are important key competences in the digitalised world of work (André et al., 2021; Hofmann et al., 2021). Traditional management models and tasks will gradually fade into the background. Co-operative, network-dynamic and value-orientated leadership styles will gain in importance. 1. Data-supported decision-making: In order to make more informed decisions, managers can draw on a wide range of data that has been analysed by AI. This can help to minimise risks. At the same time, opportunities can be better utilised. 2. Automation of routine tasks: AI can automate many repetitive tasks, giving managers more time to think strategically and develop their teams. 3. HR management: AI can help with the selection, development and management of teams by analysing data on the performance and behaviour of employees. 4. Use of chatbots and virtual assistants: Managers can use AI-supported tools to interact with employees, answer questions and provide information, thereby improving communication and the exchange of information. 5. Developing new business models: Companies are using AI to develop new products and services that can change entire industries. Understanding these developments and being able to react to them is essential for managers.

Leseprobe

MODERN LEADERSHIP

and

artificial intelligence

What are the implications of AI for modern

leadership - and how can modern leadership

Using AI successfully?

Expose

Artificial intelligence can be used in every area of a company - AI can only be technical or AI can also be used to support something "different" - it is precisely this balancing act of AI use that is to be examined here in the context of modern leadership.

become.

Dr Maged Hassanien

Table of contents

1

Scientific essay

Dr Maged Hassanien

Modern leadership and artificial intelligence

What are the effects of AI on modern leadership - and: how can modern leadership successfully utilise AI?

Table of contents

2

Table of contents

Table of contents ................................................................................................................2

List of illustrations .............................................................................................................3

Introduction, relevance, research question.........................................................................4

1

Methodological approach...........................................................................................7

2

Theoretical foundations for understanding: modern leadership / manager .8

2.1

Modern leadership in the digital age .................................................................8

2.1.1

Term: Leadership .......................................................................................8

2.1.2

Term: Manager ..........................................................................................8

2.1.3

Term: Digitalised company .......................................................................8

2.2

Management situations and management tasks in digital companies................9

2.3

Leadership competences of the digital / modern manager...............................11

3

The impact of AI on modern leadership / managers................................................13

4

Successful use of AI in modern leadership..............................................................19

4.1

Use of AI in strategic management..................................................................19

4.2

Use of AI in organisational management.........................................................20

4.3

Use of AI in personnel management ................................................................24

4.4

Use of AI for self-management........................................................................26

5

Summarising the results - answering the research question.....................................29

6

Conclusion and outlook ...........................................................................................31

Bibliography.....................................................................................................................33

List of illustrations

3

List of il ustrations

Figure 1: Leadership process in new leadership situations and digital companies (own

illustration based on Summa, 2016; Coenenberg, 2003).................................................

10

Figure 2: Leadership in a framework model with the support of AI (source in: Offensive

Mittelstand 2019, p. 34)...................................................................................................

16

Figure 3: Tasks of strategic management - supporting AI in these tasks (source in:

Offensive Mittelstand 2019, p. 40). .................................................................................

20

Figure 4: Tasks of organisational leadership - supporting AI in these tasks (source in:

Offensive Mittelstand 2019, p. 46). .................................................................................

23

Figure 5: Tasks of personnel management - support of AI in these tasks (source in:

Offensive Mittelstand 2019, p. 52). .................................................................................

26

Figure 6: Self-management tasks - support for AI in these tasks (source in: Offensive

Mittelstand 2019, p. 58)...................................................................................................

28

Introduction, relevance, research

4

question

Introduction, relevance, research question

The world of work is already subject to constant change due to demographic change, changing values, a shortage of skilled labour and technological developments: As a result, the requirements for good leadership are also changing and the methods and tools of the past are no longer sufficient. Competent management of employees plays a central role in the increasing competition for qualified specialists ("war for talent") for the success of a company. In an increasingly dynamic, networked and international world of work, the adaptability and willingness of managers and employees to cooperate are important key competences in the digitalised world of work (André et al., 2021; Hofmann et al., 2021). Traditional management models and tasks will gradually fade into the background. Co-operative, network-dynamic and value-orientated leadership styles will gain in importance.

Against this backdrop, the opportunities and challenges of digitalisation are becoming an integral part of managers' work. This is particularly evident in the models of decentralised and mobile working that have been accelerated by the coronavirus pandemic, tested in many cases and implemented in everyday working life. Important management tasks must be performed flexibly and individually across digital tools and physical distances: Leadership is increasingly taking place "at a distance". This makes it more difficult to perceive non-verbal information in particular and places new demands on the communicative skills of managers (Hofmann et al., 2020; Hofmann et al., 2021).

Trust and openness are therefore becoming central elements of corporate culture.

Managers already use software-supported solutions for many core tasks (BPM, 2019).

The functional scope of digitalised and (partially) automated management tools has grown continuously in recent decades and covers an eminently broad range of offerings

- from recruiting and onboarding to payroll systems and people analytics solutions (Gierlich-Joas, 2021). The multitude of these offerings can relieve the burden on managers, but conversely also harbours the risk of distraction from the actual core tasks by focusing on the technological possibilities and thus away from the personal level of leadership.

Leadership as a task is understood as a broad spectrum of detailed tasks and content, each of which AI can contribute to in different ways:

1. Data-supported decision-making: In order to make more informed decisions, managers can draw on a wide range of data that has been analysed by AI. This can help to minimise risks. At the same time, opportunities can be better utilised.

2. Automation of routine tasks: AI can automate many repetitive tasks, giving managers more time to think strategically and develop their teams.

Introduction, relevance, research

5

question

3. HR management: AI can help with the selection, development and management of teams by analysing data on the performance and behaviour of employees.

4. Use of chatbots and virtual assistants: Managers can use AI-supported tools to interact with employees, answer questions and provide information, thereby improving communication and the exchange of information.

5. Developing new business models: Companies are using AI to develop new products and services that can change entire industries. Understanding these developments and being able to react to them is essential for managers.

6. Ethics and responsibility: The use of artificial intelligence raises ethical questions, particularly with regard to data protection, discrimination and the use of autonomous systems. They must ensure that the use of AI is ethically justifiable and meets the interests of all stakeholders.

Overall, the integration of AI into management work has the potential to increase efficiency, innovation and performance. However, it also requires an understanding of the possible effects and challenges.

AI and leadership" is so relevant because AI technologies have a major impact on how managers lead and control their organisations. Here are some reasons for the relevance of the topic:

1. Transformation of organisations: The integration of AI is fundamentally changing how organisations function, and managers must be empowered to understand and manage these changes.

2. Competitiveness: Companies that use AI effectively can gain a competitive advantage, whether through more efficient processes, personalisation of the customer experience or innovative products and services.

3. HR management: AI-based tools can help with the identification, development and retention of employees, which is crucial for the long-term success of an organisation.

4. Strategic decision-making: AI can help managers to make better and more informed decisions by analysing large amounts of data and creating forecasts.