Mining resource profiles from event logs


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

18/01/2015

Resumo

Human resources are often responsible for the execution of business processes. In order to evaluate resource performance and identify best practices as well as opportunities for improvement, managers need objective information about resource behaviours. Companies often use information systems to support their processes and these systems record information about process execution in event logs. We present a framework for analysing and evaluating resource behaviour through mining such event logs. The framework provides a method for extracting descriptive information about resource skills, utilisation, preferences, productivity and collaboration patterns; a method for analysing relationships between different resource behaviours and outcomes; and a method for evaluating the overall resource productivity, tracking its changes over time and comparing it with the productivity of other resources. To demonstrate the applicability of our framework we apply it to analyse behaviours of employees in an Australian company and evaluate its usefulness by a survey among managers in industry.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/80195/

Relação

http://eprints.qut.edu.au/80195/1/RP-PikaA.pdf

Pika, Anastasiia, Leyer, Michael, Wynn, Moe, Fidge, Colin, ter Hofstede, Arthur H.M., & van der Aalst, Wil M.P. (2015) Mining resource profiles from event logs.

Direitos

Copyright 2015 The Authors

Fonte

Science & Engineering Faculty

Palavras-Chave #080600 INFORMATION SYSTEMS #080605 Decision Support and Group Support Systems #resource profile #event log #performance evaluation
Tipo

Report