Mining process risks and resource profiles
Pika, Anastasiia (2015) Mining process risks and resource profiles. PhD thesis, Queensland University of Technology.
This research contributes novel techniques for identifying and evaluating business process risks and analysing human resource behaviour. The developed techniques use predefined indicators to identify process risks in individual process instances, evaluate overall process risk, predict process outcomes and analyse human resource behaviour based on the analysis of information about process executions recorded in event logs by information systems. The results of this research can help managers to more accurately evaluate the risk exposure of their business processes, to more objectively evaluate the performance of their employees, and to identify opportunities for improvement of resource and process performance.
Impact and interest:
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|Item Type:||QUT Thesis (PhD)|
|Supervisor:||Wynn, Moe, ter Hofstede, Arthur, & Fidge, Colin|
|Keywords:||Process Mining, Business Process Management, Process-Related Risk, Resource Profile, Risk Identification, Event Log, Resource Behaviour, Event Log Mining, Resource Performance, Risk Evaluation|
|Divisions:||Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||20 Sep 2015 23:19|
|Last Modified:||20 Sep 2015 23:19|
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