Master's Thesis from the year 2020 in the subject Business economics - Business Management, Corporate Governance, grade: 94/110, University of Rome "Tor Vergata", language: English, abstract: 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.
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