Digital Disruptive Innovations: Blockchain for SMEs

This book provides a well-founded and practice-oriented analysis of blockchain technology as a digital disruptive business innovation in the context of small and medium-sized enterprises (SMEs). By combining theoretical foundations with an empirical case study in the field of document management, it demonstrates how technological concepts can be translated into practical business applications. The focus is on key strategic success factors such as user acceptance, resource availability, and organizational integration. The analysis is based on an international research framework and systematically incorporates current global studies and developments. In doing so, the author offers valuable insights for academia, business practice, and policymakers operating at the intersection of digitalization and the SME sector.

 

The Author

Dr. Evgeniya Lange serves as a lecturer at various institutions. Her research focuses on digital disruptive innovations, digital transformation, and blockchain technologies. She earned her doctorate from Middlesex University London, where she specialized in blockchain innovation in the context of small and medium-sized enterprises (SMEs). She has also studied digital technologies and business at several renowned institutions, including Harvard University, the Massachusetts Institute of Technology (MIT), Stanford University, the University of Oxford, and Cornell University. Since 2008, she has been active as an entrepreneur, combining academic expertise with extensive practical experience in the SME sector and in government-funded digital transformation projects. Through her work, she bridges the gap between research and practice, with a particular focus on the opportunities and challenges of digital innovation for businesses.

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

This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.