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

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

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 proceeding › Chapter › Academic

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 language	English
Title of host publication	Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014)
Editors	M. Jarke, J. Mylopoulos, C. Quix, C. Rolland, Y. Manolopoulos, H. Mouratidis, J. Horkoff
Place of Publication	Berlin
Publisher	Springer
Pages	564-579
ISBN (Print)	978-3-319-07880-9
DOIs	https://doi.org/10.1007/978-3-319-07881-6_38
Publication status	Published - 2014
Event	26th International Conference on Advanced Information Systems Engineering, CAiSE 2014 - MET Hotel, Thessaloniki, Greece Duration: 16 Jun 2014 → 20 Jun 2014 Conference number: 26 http://delab.csd.auth.gr/caise2014/

Publication series

Name	Lecture Notes in Computer Science
Volume	8484

Conference

Conference	26th International Conference on Advanced Information Systems Engineering, CAiSE 2014
Abbreviated title	CAiSE 2014
Country/Territory	Greece
City	Thessaloniki
Period	16/06/14 → 20/06/14
Other	"Information Systems Engineering in Times of Crisis"
Internet address	http://delab.csd.auth.gr/caise2014/

Access to Document

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

Cite this

Pika, A., Wynn, M. T., Fidge, C. J., Hofstede, ter, A. H. M., Leyer, M., & Aalst, van der, W. M. P. (2014). An extensible framework for analysing resource behaviour using event logs. In M. Jarke, J. Mylopoulos, C. Quix, C. Rolland, Y. Manolopoulos, H. Mouratidis, & J. Horkoff (Eds.), Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014) (pp. 564-579). (Lecture Notes in Computer Science; Vol. 8484). Springer. https://doi.org/10.1007/978-3-319-07881-6_38

Pika, A. ; Wynn, M.T. ; Fidge, C.J. et al. / An extensible framework for analysing resource behaviour using event logs. Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). editor / M. Jarke ; J. Mylopoulos ; C. Quix ; C. Rolland ; Y. Manolopoulos ; H. Mouratidis ; J. Horkoff. Berlin : Springer, 2014. pp. 564-579 (Lecture Notes in Computer Science).

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title = "An extensible framework for analysing resource behaviour using event logs",

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{\textquoteright} 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{\textquoteright}s applicability is demonstrated using an event log from a German bank.",

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Pika, A, Wynn, MT, Fidge, CJ, Hofstede, ter, AHM, Leyer, M & Aalst, van der, WMP 2014, An extensible framework for analysing resource behaviour using event logs. in M Jarke, J Mylopoulos, C Quix, C Rolland, Y Manolopoulos, H Mouratidis & J Horkoff (eds), Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). Lecture Notes in Computer Science, vol. 8484, Springer, Berlin, pp. 564-579, 26th International Conference on Advanced Information Systems Engineering, CAiSE 2014, Thessaloniki, Greece, 16/06/14. https://doi.org/10.1007/978-3-319-07881-6_38

An extensible framework for analysing resource behaviour using event logs. / Pika, A.; Wynn, M.T.; Fidge, C.J. et al.
Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). ed. / M. Jarke; J. Mylopoulos; C. Quix; C. Rolland; Y. Manolopoulos; H. Mouratidis; J. Horkoff. Berlin: Springer, 2014. p. 564-579 (Lecture Notes in Computer Science; Vol. 8484).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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T1 - An extensible framework for analysing resource behaviour using event logs

AU - Pika, A.

AU - Wynn, M.T.

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AU - Leyer, M.

AU - Aalst, van der, W.M.P.

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AB - 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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A2 - Jarke, M.

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A2 - Quix, C.

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A2 - Manolopoulos, Y.

A2 - Mouratidis, H.

A2 - Horkoff, J.

PB - Springer

CY - Berlin

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Y2 - 16 June 2014 through 20 June 2014

ER -

Pika A, Wynn MT, Fidge CJ, Hofstede, ter AHM, Leyer M, Aalst, van der WMP. An extensible framework for analysing resource behaviour using event logs. In Jarke M, Mylopoulos J, Quix C, Rolland C, Manolopoulos Y, Mouratidis H, Horkoff J, editors, Advanced Information Systems Engineering (26th International Conference, CAISE'14, Thessaloniki, Greece, June 16-20, 2014). Berlin: Springer. 2014. p. 564-579. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-07881-6_38

An extensible framework for analysing resource behaviour using event logs

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