This PhD position bridges data governance, digital value creation, and empirical research, offering a strong foundation for careers in both academia and industry. It offers the opportunity to join our research group in studying how organizations can evaluate the value of data governance and what they risk by neglecting it.
Data governance is one of the most pressing yet undervalued challenges in modern organizations. We have repeatedly encountered a clear paradox in practice: organizations recognize that data governance matters, but lack the tools to demonstrate how much, and to justify investing in it accordingly. In the next phase of our research, we are developing and evaluating approaches to make this value measurable, in close collaboration with practice partners. As AI increasingly shapes how organizations collect, use, and govern data, this question becomes more pressing than ever.
As part of our team, you will work at the frontier of Information Systems research - close to practice, grounded in rigorous methods, and contributing to questions that matter beyond academia.
Your responsibilities will include:
- Conducting research on how organizations can evaluate and communicate the value of data governance, including the upside of strong practices and the risks of neglecting them.
- Performing qualitative and quantitative empirical research, in particular expert interviews, case studies, and Design Science Research.
- Developing and evaluating artefacts such as frameworks, assessment tools, or maturity models in collaboration with practice partners.
- Publishing in leading IS conferences and contributing to top-tier journal publications.
- Developing your PhD thesis within one of the project's research streams.
- A high degree of freedom and intensive collaboration in shaping your own research direction.
- Support teaching activities and executive education programs