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Cambridge Service Alliance

developing new understanding and approaches to complex service systems

Studying at Cambridge


Markus Euich

Markus Euich

Visiting Reseracher


Markus Eurich is a visiting researcher with the Cambridge Service Alliance. His research interests include technology and innovation management, business model design, and the interaction between strategy, business model and innovation, in particular in the context of information systems. Markus has led several projects regarding business model design and service innovation, high performance computing, and technology and innovation management. 

Markus is a postdoctoral research fellow at the Swiss Federal Institute of Technology in Zurich (ETH Zurich). He completed his Diplom (MSc equivalent) in Management Information Systems and wrote his PhD thesis on business modeling and value creation in the information and communication technology industry.

Prior to his academic career he had worked several years in the IT industry, mainly in the fields of business consulting and customer relationship management.


  • Service Innovation
  • business model innovation

Cambridge Service Alliance

Welcome to the Cambridge Service Alliance…

  • a unique global alliance between leading businesses and universities;
  • bringing together the world's leading firms and academics;
  • all of whom are devoted to delivering today the tools, education and insights needed for the complex service solutions of tomorrow.

Members of the Cambridge Service Alliance include BAE Systems, Caterpillar, IBM and the University of Cambridge.

RSS Feed Latest news

Webinar - Customer Loyalty Predictive Model

Jan 10, 2017

9 January 2017 - The Fallacy of the Net Promoter Score: Customer Loyalty Predictive Model - Mohamed Zaki

Webinar - Feedback from the Frontline

Dec 13, 2016

12 December 2016 - Feedback from the Frontline: Engaging front-line employees in service innovation - Florian Urmetzer

Ecosystems Value Framework Paper

Dec 12, 2016

The December Paper on 'The Ecosystem Value Framework: Supporting Managers to Understand Value Exchange between Core Businesses in Service Ecosystems', by Florian Urmetzer, Veronica Martinez and Andy Neely.

December 2016 Newsletter

Dec 01, 2016

December 2016 Alliance Newsletter

Classification of Noisy Data

Nov 28, 2016

November paper on 'Classification of Noisy Data: An Approach Based on Genetic Algorithms and Voronoi Tessellation' by Abdul Rauf Khan, Henrik Schiøler, Torben Knudsen, Murat Kulahci and Mohamed Zaki

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