Informating HRM through »Data Mining«? A Conceptual Evaluation

Stefan Strohmeier, Franca Piazza



Beyond mere automation of tasks, a major potential of HRIS is to in- formate HRM. Within current HRIS the informate function is realized based on a data querying approach. Given a major innovation in data analysis subsumed under the concept of »data mining«, possibly valuable potentials to informate HRM are lost while overlooking the data mining approach. Our paper therefore aims at a conceptual evaluation of the potentials of data mining to informate HRM. We hence discuss and evaluate data mining as a novel approach compared to data querying as the conventional approach of informating HRM. Based on a robust framework of informational contributions, our analysis re- veals interesting potentials of data mining to generate explicative and prognostic information and hence to enrich and complement the querying approach. To deepen the knowledge on the contributions of data mining we finally derive recommendations for future research.


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Paper Citation

in Harvard Style

Strohmeier S. and Piazza F. (2008). Informating HRM through »Data Mining«? A Conceptual Evaluation . In Proceedings of the 2nd International Workshop on Human Resource Information Systems - Volume 1: HRIS, (ICEIS 2008) ISBN 978-989-8111-47-0, pages 51-62. DOI: 10.5220/0001735500510062

in Bibtex Style

author={Stefan Strohmeier and Franca Piazza},
title={Informating HRM through »Data Mining«? A Conceptual Evaluation},
booktitle={Proceedings of the 2nd International Workshop on Human Resource Information Systems - Volume 1: HRIS, (ICEIS 2008)},

in EndNote Style

JO - Proceedings of the 2nd International Workshop on Human Resource Information Systems - Volume 1: HRIS, (ICEIS 2008)
TI - Informating HRM through »Data Mining«? A Conceptual Evaluation
SN - 978-989-8111-47-0
AU - Strohmeier S.
AU - Piazza F.
PY - 2008
SP - 51
EP - 62
DO - 10.5220/0001735500510062