This thesis deals with Big Data as a key driver of Change Management and the importance of Culture Change in transformation processes. It aims to answer the following questions: What is the Fourth Industrial Revolution’s enabling technology that companies need to concentrate on extraction value in the phase of volatility and uncertainty? How can companies use change management theories and practices to stay competitive and agile? How do companies deal with the resistance to change? What is the role of Culture Change?
Throughout the research, the Industry 4.0 as the background and central statue behind der study is examined. Change Management and Big Data are explored broadly in primary academic sources. This research contributes to the literature by providing a comprehensive picture of the essential determinants of successful change management that connects the gab between the different aspects raised in the literature.
The world is transforming every day: customer needs are changing; technology is advancing, and the economy is evolving. Businesses who fail to embrace change can easily wind up as dinosaurs. This study analyses decisive change drivers coming with Industry 4.0, particularly Big Data. The core to effectively proceeding Industry 4.0 is to move from a traditional waterfall concept to an agile manner. Effective change management is crucial.
Big Data transformations require an innovative way of thinking about how change impacts people, culture, organisations, processes and more. While resistance is the normal human reaction in times of change, Culture Change is critically essential to transformation and can mitigate much of the resistance. Digital transformation is not mainly about technology, it is about agility – organisations’ culture plays a decisive role in the digital transformation of every business.
Inhaltsverzeichnis (Table of Contents)
- INTRODUCTION
- Chapter 1. Change Management in Industry 4.0.
- 1.1. Disruption of Industry 4.0.……........
- 1.2. What is Change Management.
- 1.3. Organizational Change: Approaches and Practices………………….
- Chapter 2. Big Data Transformations.
- 2.1. Big Data in Industry 4.0
- 2.2. Challenges in Big Data Implementations .
- 2.3. Big Data Transformations
- Chapter 3. Culture change.
- 3.1. Culture change management
- 3.2. Data-driven culture.
- CONCLUSIONS
- REFERENCES.
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
The objective of this research is to analyze the importance of culture change in big data transformation processes, specifically in the context of Industry 4.0. The research aims to identify the need for change in Industry 4.0, particularly related to Big Data, and to define strategies and methods for navigating today's business environment through change management practices.
- Change Management in Industry 4.0
- Big Data Transformations
- Culture Change
- The Impact of Culture Change on Change Management
- Strategies for Effective Change Management in Data-Driven Enterprises
Zusammenfassung der Kapitel (Chapter Summaries)
- Introduction: This chapter sets the stage for the research by discussing the rapid technological advancements of Industry 4.0, highlighting the challenges and opportunities businesses face in adapting to these changes. It emphasizes the importance of agility and the need for companies to embrace change management practices.
- Chapter 1. Change Management in Industry 4.0: This chapter examines the disruptive nature of Industry 4.0 and explores the concept of change management. It delves into various change management theories and approaches, emphasizing the significance of an agile methodology in navigating the complexities of the industrial revolution.
- Chapter 2. Big Data Transformations: This chapter focuses on the role of Big Data in Industry 4.0, exploring its challenges and implementation aspects. It examines the impact of Big Data on businesses and the transformations required to leverage its potential.
- Chapter 3. Culture change: This chapter investigates the concept of culture change management, focusing on how it can impact the success of big data transformations. It explores the importance of fostering a data-driven culture within organizations.
Schlüsselwörter (Keywords)
The main keywords and focus topics of this research include: Change Management, Industry 4.0, Digital Transformation, Culture Change, Big Data, Fourth Industrial Revolution.
- Quote paper
- Parvin Abdurahmanov (Author), 2020, Big Data as a Key Driver of Change Management. The Importance of Culture Change in Transformation Processes, Munich, GRIN Verlag, https://www.grin.com/document/924972
