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.

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63 since deposited on 20 Sep 2015
45 in the past twelve months

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ID Code: 86079
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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