An extensible framework for analysing resource behaviour using event logs

A. Pika, M.T. Wynn, C.J. Fidge, A.H.M. Hofstede, ter, M. Leyer, W.M.P. Aalst, van der

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

29 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014)
EditorsM. Jarke, J. Mylopoulos, C. Quix, C. Rolland, Y. Manolopoulos, H. Mouratidis, J. Horkoff
Place of PublicationBerlin
PublisherSpringer
Pages564-579
ISBN (Print)978-3-319-07880-9
DOIs
Publication statusPublished - 2014
Event26th International Conference on Advanced Information Systems Engineering, CAiSE 2014 - MET Hotel, Thessaloniki, Greece
Duration: 16 Jun 201420 Jun 2014
Conference number: 26
http://delab.csd.auth.gr/caise2014/

Publication series

NameLecture Notes in Computer Science
Volume8484

Conference

Conference26th International Conference on Advanced Information Systems Engineering, CAiSE 2014
Abbreviated titleCAiSE 2014
Country/TerritoryGreece
CityThessaloniki
Period16/06/1420/06/14
Other"Information Systems Engineering in Times of Crisis"
Internet address

Fingerprint

Dive into the research topics of 'An extensible framework for analysing resource behaviour using event logs'. Together they form a unique fingerprint.

Cite this