skip to content

Faculty of Management, Economics and Social SciencesProfessorship of Information Systems and Integrated Information Systems

Digital Transformation and Digital Innovation

Through business process management, organizations aim to improve operational performance and pursue various goals such as process optimization, process automation or process outsourcing. The digitalization of business processes is becoming increasingly important in the context of digital transformation and innovation. The objectives each place different demands on the use of digital technologies and the development and integration of information systems. One of the most striking current examples of the effects of digital transformation and innovation with supposedly profound individual, organizational and societal impacts is, for example, the field of personalized medicine - the tailored approach to patient treatment that is evident in the molecular analysis of genes, proteins and metabolites that guide decisions in the prevention, diagnosis and treatment of disease. The rise of personalized medicine, fostered and enabled by advanced IT and digital tools (including those based on machine learning and big data), is changing the working practices of healthcare professionals such as doctors, nurses and pharmacists worldwide.

Within this context, we study the interaction of contextual factors at different levels of investigation (individual, process, company and environmental factors) as well as the effect of these factors on business processes, organizational routines and human work. This also includes questions about successful innovation and transformation that deal with digital technologies, automation and management concepts. To this end, we use qualitative research to develop theoretical models, which are then validated (e.g., through cross-sectional and panel studies or experiments). In addition, we also use machine learning methods both exploratively (e.g., process mining on system log data to capture organizational routines) and explanatory-predictive (e.g., next-event prediction for business processes). On the other hand, design-oriented, comprehensive formal specifications of technical concepts and prototypes of integrated information systems as well as instructions for the management of business processes are developed on this basis, e.g. with regard to the automation and design of IT architectures, business models or work steps. This is done in close cooperation with business partners from the field.

Examples of Projects and Research Questions:

  • Digital Transformation in Healthcare: From Digital Tools to Digital Actors (DigiAct). Funded by Deutsche Forschungsgemeinschaft(DFG), Link
  • Collaborative Value Creation with Health Data (EHDS4ALL). BMBF, Link
  • How can we measure and manage organizational processes and routines using digital trace data?
  • What is the impact of advanced digital technologies on organizational processes and routines?
  • How can data platforms and data ecosystems be leveraged to improve healthcare?
  • How does the use of digital technologies (e.g., generative artificial intelligence) impact on the innovation process and structures?

Selected Publications:

  • Lehmann, Julian; Recker, Jan; Yoo, Youngjin; and Rosenkranz, Christoph. 2022. "Designing Digital Market Offerings: How Digital Ventures Navigate the Tension Between Generative Digital Technology and the Current Environment," MIS Quarterly, (46: 3) pp.1453-1482.

  • Guse, Richard; Thiebes, Scott; Hennel, Phil; Rosenkranz, Christoph; Sunyaev, Ali. 2022. "Data Marketplaces for Artificial Intelligence in Healthcare: Opportunities, Challenges and Mitigation Strategies". Link

  • Schäfermeyer, Markus; Rosenkranz, Christoph; Holten, Roland. 2012. "The Impact of Business Process Complexity on Business Process Standardization". Link

  • Rosenkranz, Nadine; Eckhardt, Andreas; Kühne, Mirko; Rosenkranz, Christoph. 2013. "Health Information on the Internet" Link