The aim of our research is to investigate practice-relevant questions on business information systems in a theory-based, methodologically sound manner and in close cooperation with partners in practice to develop internationally visible research results. The following main research areas are focused on:
IT Architecture Management
In addition to traditional issues of IT architecture management, such as IT integration and mastering the complexity of IT landscapes, we also examine the design and management of the architecture of digital platforms. Our focus is on technical properties such as modularity, compatibility, complexity, and the resulting economic tensions.
Companies in numerous industries complement their offerings with digital services to benefit from economic properties, such as positive network effects, re-combinability, and the characteristic cost structure. We develop in close cooperation with practice partners recommendations for action for providers of digital services. Our focus is on developing innovative digital services, IT security management, and the design of digital innovation platforms.
Data-based Business Models and Privacy
The use of free internet-based services (such as Google or Facebook) is widespread. However, many of these services are only "free" at first glance - users pay with private data, which the provider companies then monetize. Therefore, from the provider's perspective, it is essential to weigh up additional revenues through (more intensive) use of the data and the potential deterrent effect of such monetization strategies on users. In this research area, we investigate the technical and organizational design of the data disclosure process. For example, we are investigating how artificial intelligence (AI) can facilitate data disclosure processes. The goal of this research focus is to develop profitable and privacy-friendly data-based business models.