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Cambridge Service Alliance

developing new understanding and approaches to complex service systems

Studying at Cambridge

 

Research

The service sector now accounts for 75 percent of the labour force in the US and the UK and more than 50 percent in Brazil, Russia, Japan and Germany. The dramatic growth of the service sector is changing the nature of organisations. This transition can be extremely beneficial for organisations, securing their competitive position, offering long-term stable revenues and opening up new market opportunities However, it is becoming apparent that there is a lack of research and knowledge in the area of service to help address the challenges these changes are creating. The Alliance will help overcome the challenges of moving toward service by:

  • Defining business models that will best create and capture value.
  • Assisting firms to recoup the financial benefits they expect to through services.
  • Identifying new service and support engineering capabilities to enable these business models.
  • Establishing how innovation in performance information and analytics enables service business models.

The Cambridge Service Alliance aspires through research and education programmes, to better enable organisations to address the challenges they will face in the next three to five years.

The partners in the Alliance jointly agree a defined research programme with the University of Cambridge, addressing issues of interest and relevance to them. The pages in this section show some of the research that has been undertaken to date, including ongoing research activities. 

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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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Upcoming events

Shift to Services Executive Education Programme

Apr 04, 2017

IfM, Cambridge, UK

Cambridge Service Week 2017 - Academic Conference

Oct 05, 2017

IfM, Cambridge, UK

Upcoming events