Individualization of Information-Intensive Consumer-Oriented Services

The thesis describes the fundamental problems in the individualization of information-intensive and consumer-oriented services. The guiding research discipline of this thesis is Wirtschaftsinformatik. Furthermore, Service Dominant Logic is applied to explain how services can create added value for customers. In the state of the art section “individual information systems” and various approaches from mass customization and personalization are introduced. The reference architecture developed is inspired by proven architecture paradigms, such as modular architectures, layered architectures and client-server architectures. In addition, personalization mechanisms are implemented in this system approach. After a detailed description of existing, traditional recommendation mechanisms, special attention is also paid to context-sensitive approaches. It is also explained how semantic technologies and machine learning approaches can be used for further individualization and better scalability. The reference architecture is used for the development of services for health prevention and physical well-being.