An extensible framework for analysing resource behaviour using event logs

Pika, Anastasiia, Wynn, Moe T., Fidge, Colin J., ter Hofstede, Arthur H.M., Leyer, Michael, & van der Aalst, Wil M.P. (2014) An extensible framework for analysing resource behaviour using event logs. In Jarke, Matthias, Mylopoulos, John, & Quix, Christoph (Eds.) Lecture Notes in Computer Science [Proceedings of the 26th International Conference on Advanced Information Systems Engineering, CAiSE 2014], Springer Verlag, Thessaloniki, Greece, pp. 564-579.

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Business processes depend on human resources and managers must regularly evaluate the performance of their employees based on a number of measures, some of which are subjective in nature. As modern organisations use information systems to automate their business processes and record information about processes’ executions in event logs, it now becomes possible to get objective information about resource behaviours by analysing data recorded in event logs. We present an extensible framework for extracting knowledge from event logs about the behaviour of a human resource and for analysing the dynamics of this behaviour over time. The framework is fully automated and implements a predefined set of behavioural indicators for human resources. It also provides a means for organisations to define their own behavioural indicators, using the conventional Structured Query Language, and a means to analyse the dynamics of these indicators. The framework's applicability is demonstrated using an event log from a German bank.

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10 citations in Scopus
8 citations in Web of Science®
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ID Code: 68161
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Process mining, Resource behaviour indicators, Employee performance measurements
DOI: 10.1007/978-3-319-07881-6_38
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Please consult the authors
Deposited On: 10 Mar 2014 00:00
Last Modified: 26 Jul 2014 04:47

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