An Extensible Framework for Analysing Resource Behaviour Using Event Logs

  • Anastasiia Pika
  • Moe T. Wynn
  • Colin J. Fidge
  • Arthur H. M. ter Hofstede
  • Michael Leyer
  • Wil M. P. van der Aalst
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8484)

Abstract

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.

Keywords

Process mining resource behaviour indicators employee performance measurements 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Anastasiia Pika
    • 1
  • Moe T. Wynn
    • 1
  • Colin J. Fidge
    • 1
  • Arthur H. M. ter Hofstede
    • 1
    • 2
  • Michael Leyer
    • 3
  • Wil M. P. van der Aalst
    • 2
    • 1
  1. 1.Queensland University of TechnologyBrisbaneAustralia
  2. 2.Eindhoven University of TechnologyEindhovenThe Netherlands
  3. 3.Frankfurt School of Finance and ManagementFrankfurt am MainGermany

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