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Open and Digital Ecosystems

Open and Digital Ecosystems

Added Value Through Industry and Technology Convergence

Inhalt

Dive into the fascinating world of digital disruption and discover the transformative power of open and digital ecosystems, which will constitute one-third of global trade by 2030. This book demonstrates how value creation occurs beyond organizational boundaries and places the consumer at the forefront. The convergence of industries and technologies drives the experience-oriented customer journey and accelerates digital transformation. Explore Artificial Intelligence, Augmented Reality, the Internet of Things, Blockchain, Cloud, and Quantum Computing as key building blocks for innovation. The golden triangle of digital ecosystems - commerce, social media, and finance – illustrates how companies like Alibaba, Tencent, NIO, Alphabet, Apple, Amazon, and Migros create unique customer experiences and integrate services with super-apps.

Through in-depth analyses and practical case studies, you will learn how companies can thrive in this revolutionary model, achieving growth by sharing knowledge and resources, responding swiftly to market changes, and balancing the optimization of existing businesses with the exploration of new opportunities. Leadership in open and digital ecosystems demands a shift in mindset and the development of new dynamic capabilities. Emphasizing openness, agility, and ambidexterity as critical skills, this book is an indispensable guide for companies aiming to leverage open and digital ecosystems for sustainable growth and to build agile, resilient organizations.

Gain a modern understanding of leadership and discover how it shapes the future of work in the era of digital ecosystems.

The Author

Dr. Daniel Fasnacht is a Fellow and Program Director of Executive Education at the University of Zurich, a Senior Lecturer at the Kalaidos University of Applied Sciences, as well as the CEO and Founder of EcosystemPartners AG, Zurich, Switzerland.

The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

 

 

 

Bibliografische Angaben

Dezember 2024, 273 Seiten, Englisch
Springer Fachmedien Wiesbaden GmbH
978-3-658-45394-7

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