Artificial Intelligence (AI) provides organizations with vast opportunities of deploying AI for competitive advantage such as improving processes, and creating new or enriched products and services. However, the failure rate of projects on implementing AI in organizations is still high, and prevents organizations from fully seizing the potential that AI exhibits. To contribute to closing this gap, we seize the unique opportunity to gain insights from five organizational cases. In particular, we empirically investigate how the unique characteristics of AI – i.e. experimental character, context sensitivity, black box character, and learning requirements – induce challenges into project management, and how these challenges are addressed in organizational (socio-technical) contexts. This shall provide researchers with an empirical and conceptual foundation for investigating the cause-effect relationships between the characteristics of AI, project management, and organizational change. Practitioners can benchmark their own practices against the insights to increase the success rates of future AI implementations.
- 2018 - M.Sc., Wirtschaftsingenieurwesen @ Karlsruher Institut für Technologie (KIT)
- 2016 - Auslandssemester @ University of Connecticut (UCONN), USA
- 2015/16 - Stanford ME310 Design Thinking Class als Teil des Sugar-Netzwerks
- 2015 - B.Sc., Wirtschaftsingenieurwesen @ Karlsruher Institut für Technologie (KIT)
- 2021 Bestes Minitrack-Paper und nominiert für Best Paper Award bei Hawaii International Conference on System Sciences (HICSS 2021)
- Association for Information Systems (AIS)
- Swiss Chapter of the Association for Information Systems (CHAIS)