Mining process risks and resource profiles


Autoria(s): Pika, Anastasiia
Data(s)

2015

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/86079/

Publicador

Queensland University of Technology

Relação

http://eprints.qut.edu.au/86079/1/Anastasiia_Pika_Thesis.pdf

Pika, Anastasiia (2015) Mining process risks and resource profiles. PhD thesis, Queensland University of Technology.

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #Process Mining #Business Process Management #Process-Related Risk #Resource Profile #Risk Identification #Event Log #Resource Behaviour #Event Log Mining #Resource Performance #Risk Evaluation
Tipo

Thesis