Predictive analytics for co-creation of digital services

Study level

Master of Philosophy


Vacation research experience scheme

Topic status

We're looking for students to study this topic.


Dr Reihaneh Bidar
Associate Lecturer
Division / Faculty
Science and Engineering Faculty


Co-creation of services (i.e., digital services) through collaborative networks enables organisations to improve their innovativeness; to collaborate with a network of customers to create, to facilitate and improve collaboration and create new types of services.

However, organisations are also facing new challenges by creating a large amount of data, such as providing lower quality services by the network.

On the other hand, the emergence of predictive analytics provides us with techniques to identify explanatory and predictive behaviour patterns from the unstructured data created by the network to support service co-creation and collaborative systems.

The aim of this project is to investigate how data analytics can improve the delivery of digital services and co-creation in collaborative networks.

Research activities

As a part of the research project, you will:

  • conduct a systematic literature review on the emergence of data analytics in co-creation and delivery of services in collaborative networks
  • explore how we can use data analytic methods to make sense of the created data.


As a result of this project we expect to publish the performed research in high-quality conferences and journals.

Skills and experience

Your application will be preferred if you have a background in information systems, service systems or data analytics.

We also expect you to have reasonable writing skills to be considered suitable for this project.


You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round



Contact the supervisor for more information.