[Cite as http://purl.org/au-research/grants/arc/DP150103356]
Researchers A/Prof Marcello La Rosa; Prof Arthur ter Hofstede; Prof Dr Michael Rosemann; Dr Moe Wynn; Dr Chun Ouyang; Dr Michael Adams; Prof Dr Wil van der Aalst; Prof Dr Hajo Reijers; Prof Marlon Dumas-Menjivar
Brief description This project will develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project will capitalize on the value hidden in large process data, as recorded in event logs. The approach will be implemented in an open-source technology to facilitate advanced investigations and predictions that can ultimately lead to better strategic decision-making. This technology also has the potential to become a research-enabling tool for the large research community in business process management.
Funding Amount 847700.000000001
Funding Scheme Discovery Projects