Abstract
A key component for project success, particularly for complex and risky projects, is adequate knowledge management. The results of our feasibility study reveal the need for a dedicated analytical instance to better support virtual knowledge processes. We suggest combining robotic process automation (RPA) with a knowledge-focused graph database (GDB). Therefore, we present a prototypic approach for integrating this concept into project management routines.
Recommended Citation
Koch, Oliver; Buchkremer, Rüdiger; and Kneisel, Evi, "Graph Databases and Robotic Process Automation: Achieving Improvement in Project Knowledge Management" (2020). BLED 2020 Proceedings. 31.
https://aisel.aisnet.org/bled2020/31