Success factors for digital transformation

Table of Contents

1 Introduction

1.1 Prelude

1.2 Structure of this paper

2 Definition of terms and concepts

2.1 Digital transformation

2.2 Success

2.3 Success factors

3 Success factors for digital transformation

3.1 Business purpose

3.1.1 Strategy

3.1.2 Business model

3.1.3 Finance

3.2 Customer focus

3.2.1 New markets

3.2.2 Data-driven satisfaction of customer needs

3.2.3 Open innovation

3.3 Information technology

3.3.1 Big data and advanced analytics

3.3.2 Artificial intelligence and deep learning

3.3.3 Digital twin

3.4 Organizational capacity

3.4.1 Human capital

3.4.2 Organization

3.4.3 Business culture

4 Digital transformation at German car manufacturers

4.1 Examined businesses

4.2 Current status of transformation process

4.2.1 Business purpose

4.2.2 Customer focus

4.2.3 Information technology

4.2.4 Organizational capacity

5 Conclusion

Objective and Research Focus

The primary objective of this thesis is to comprehensively analyze the definition of digital transformation and identify general success factors for businesses. Furthermore, it examines the extent to which major German car manufacturers have implemented these success factors within their organizational structures.

• The theoretical exploration of digital transformation and core success factors.
• Categorization of success factors using the Balanced Scorecard framework.
• Evaluation of digital transformation efforts at BMW and Daimler.
• The impact of emerging technologies such as Big Data, AI, and Digital Twins.
• The role of organizational culture and human capital in successful transformation.

Excerpt from the Book

Summary of Chapters

1 Introduction: Provides the motivation for the study by highlighting the rapid obsolescence of companies failing to adapt to technological change, specifically referencing the S&P 500 trends.

2 Definition of terms and concepts: Establishes a foundational understanding of digital transformation, the concept of success, and the methodology behind identifying success factors.

3 Success factors for digital transformation: The core chapter that defines and categorizes success factors into four key areas: Business purpose, Customer focus, Information technology, and Organizational capacity.

4 Digital transformation at German car manufacturers: Applies the theoretical success factors to a real-world analysis of BMW and Daimler, assessing their current transformation status.

5 Conclusion: Synthesizes the findings, confirming that digital transformation is a holistic challenge requiring alignment across all organizational levels, and offers a final assessment of the German automotive industry's progress.

Keywords

Digital transformation, success factors, German automotive industry, BMW, Daimler, Balanced Scorecard, Big Data, Artificial Intelligence, Digital Twin, Customer experience, Open innovation, Agile organization, Business model innovation, Strategy, Human capital.

Frequently Asked Questions

What is the core subject of this thesis?

This thesis examines the concept of digital transformation and identifies the critical success factors that businesses must address to remain competitive in an increasingly digital economy.

What are the central themes of the research?

The core themes include strategic alignment, customer-centricity, the deployment of advanced information technologies, and the necessity of agile organizational structures and culture.

What is the primary research goal?

The goal is to develop a structured framework of success factors for digital transformation and evaluate how selected German car manufacturers, specifically BMW and Daimler, apply these factors in practice.

Which scientific methodology is applied?

The thesis utilizes an extensive qualitative literature review to identify generally applicable success factors, followed by a comparative case-based screening of two major German automotive corporations.

What topics are covered in the main section?

The main section categorizes success factors into four dimensions: Business purpose (strategy, business models, finance), Customer focus (new markets, data-driven needs, open innovation), Information technology (Big Data, AI, Digital Twin), and Organizational capacity (human capital, organization, culture).

Which keywords best characterize this work?

Key terms include Digital transformation, Automotive industry, Balanced Scorecard, Business purpose, Agile organization, and Artificial Intelligence.

Why are BMW and Daimler selected as case studies?

They are chosen because they represent the flagships of the German premium car sector and currently face the pressure of adapting their long-standing business models to threats from tech-oriented competitors like Tesla and Uber.

What role does the 'Digital Twin' play in this study?

The Digital Twin is identified as a critical technological success factor, allowing manufacturers to create a real-time digital connection between physical machinery and virtual models to improve maintenance, efficiency, and predictive quality.