An extensible framework for analysing resource behaviour using event logs


Autoria(s): Pika, Anastasiia; Wynn, Moe T.; Fidge, Colin J.; ter Hofstede, Arthur H.M.; Leyer, Michael; van der Aalst, Wil M.P.
Contribuinte(s)

Jarke, Matthias

Mylopoulos, John

Quix, Christoph

Data(s)

2014

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/68161/

Publicador

Springer Verlag

Relação

http://eprints.qut.edu.au/68161/1/paper_CAiSE14_Pika.pdf

DOI:10.1007/978-3-319-07881-6_38

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.

Direitos

Copyright 2014 Please consult the authors

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #080600 INFORMATION SYSTEMS #Process mining #Resource behaviour indicators #Employee performance measurements
Tipo

Conference Paper