Our research agenda is driven by the convergence between software and "conventional" services and their impact in businesses. Indeed, software often underpins the innovative delivery of services in a business context to the extent that the two aspects of a service are often difficult to tell apart.

We use this convergence to design, implement, and apply innovative services through the use of contemporary software technologies, but also to research the mechanisms for better software applications through the use of ideas which ensure the flexibility and the quality of delivery in service-based businesses. Our research focuses on two main strands of approaches:

  1. Business Intelligence
  2. Software Services

Business Intelligence

Our work in this area is split into three main themes:

  1. Business models for the Digital Economy
  2. Big Data analytics
  3. Financial services

Software Services

Our work in designing innovative services can be divided into three themes:

  1. Convergent intelligent services: treating the evolution of service assemblies as similar to the evolution of virtual organisations, using intelligent software agents to represent the interests of service providers, and reasoning over innovative coordination models.

  2. Semantic services: the use of intelligent techniques, ontologies, and reasoning to support the creation and automated understanding of flexible service assemblies.

  3. User-centric software design: 1) Discover user attitudes, needs and mental models regarding services and service assemblies, including studies of trade-offs between risks and benefits from users getting involved with services. And 2) build and evaluate user-friendly service design tools, using intelligent reasoning to hide the technical complexity from end users.