skip to primary navigationskip to content

Cambridge Service Alliance

developing new understanding and approaches to complex service systems

Studying at Cambridge

 

Designing Deploying and Enhancing Services

How can feedback and analytics be used to better design, deploy and enhance services and solutions?

The term ‘Big Data’ has gained massive popularity in recent years. In particular, the exponential growth of available and potentially available data, compounded by the Internet, social media, cloud computing and mobile devices, has generated new challenges and opportunities for many organizations. Important and Interesting new business opportunities enabled by data are becoming commonplace. Considerable research effort has been expended on understanding how firms create and capture value from analytics in single organisations with low attention to complex service networks. Therefore, The key aims for 2014 research is to create a diagnostic framework that can be used to improve the exploitation of operational data in optimising the design and deployment of future services in complex service networks.

Approach

In 2013, the research evolved in several phases, starting from literature review, data collection and description to coding, analysis and validation. The systematic literature review documented key findings from practice and research to date. It helped establish reference points and an outline framework for us in the case study phase of this work. Matched pairs of case study firms were selected to include those with high and those with low levels of experience in using data to optimise complex services. Data were collected in all case studies through a combination of workshop, interviews and supplementary document reviews.

Post the data collection phase, templates and thematic analysis was used for data analysis. The essence of template analysis is that the researchers produced a list of codes (‘template’) representing themes identified in data. Therefore, The draft data diagnostic framework is the output of the thematic analysis. The framework addresses the most significant barriers to using data within complex service networks and how could these barriers overcome.

The main focus in 2014 is to test and validate the developed diagnostic framework through arranging four action research cases. Each case will involve a series of interviews with members run the service (e.g. service provider) and users of the service (e.g. customer, partner, etc). Post the data collection phase, templates and thematic analysis will be used for data analysis.

Outputs 

Building on 2013 research, a draft diagnostic framework has been developed based on literature review and six case studies across different sectors: asset heavy, education and defence. The draft framework identified the most significant barriers to the use of operational data and highlighted the best practices to overcome these barriers as shown in figure 1. Internal context includes soft issues and hard issues. Soft issues include data culture, lack of skilled data scientists and collaboration issues leads sometimes to adversarial relationships with customers. Hard issues involve lack of data interoperability (data transmission accessibility, managing data volume, data compatibility, timeliness, data integration, data ownership, performance measurement of data analytics), technical issues include legacy and integration issues and practical issues. External context has legal and ethical issues including intellectual property. Cost of ownership and viewing analytics as cost rather than investments are other key challenges in this sector. The outcome of 2014 research is a revision to the diagnostic in light of validation studies. The four cases should identify new emergent issues have not been considered in the draft framework and create a revised framework version. The revised framework will be designed to support how organisations can exploit the role of data to optimise and improve services within complex.

Figure 1: A Draft Diagnostic Framework - Contextual Barriers to Using Data with CSNs

Downloads

Designing, Deploying and Enhancing Service Research - Poster from Cambridge Service Week 2014

Further reading

Optimising Asset Management within Complex Service Networks: The Role of Data 

Researchers

Mohamed Zaki

RSS Feed Latest news

EPSRC Grant: OMMS - Wireless Micro-Factor that will treat people with Cancer

Nov 14, 2017

OMMS: the wireless micro-factory that will treat people with cancer Building Service Business Model Innovation

November Webinar - A System Perspective on Business Model Evolution

Nov 13, 2017

Webinar by Chander Velu on 'A Systems Perspective on Business Model Evolution: The Case of an Agricultural Information Service Provider in India'

Video - What is the Shift to Services Executive Course all about?

Oct 29, 2017

In this video Florian Urmetzer explains the benefits of attending the Alliance's two-day executive programme - Shift to Services

October Paper - Big Data Analytics Architecture for Businesses

Oct 26, 2017

The October Monthly Paper from the Cambridge Service Alliance, on 'Big Data Analytics Architecture for Businesses, by Mert Onuralp Gökalp, Kerem Kayabay, Mohamed Zaki, Altan Koçyiğit, P. Erhan Eren, and Andy Neely

Article on Service Week 2017 in London Evening Standard

Oct 26, 2017

Anthony Hilton, of the London Evening Standard, attended our Service Week 2017 Industry Day event, and wrote about one of the keynote speakers, from Alibaba, in a recent article.

View all news

Upcoming events

Ecosystems Strategy One Day Course

Feb 27, 2018

IfM, Cambridge

Shift to Services Executive Education Programme

May 09, 2018

IfM, Cambridge, UK

Upcoming events