Informating HRM through »Data Mining«? A Conceptual Evaluation

Stefan Strohmeier; Franca Piazza

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Informating HRM through »Data Mining«? A Conceptual Evaluation

In Proceedings of the 2nd International Workshop on Human Resource Information Systems - Volume 0ICEIS, 51-62, 2008 , Barcelona, Spain

Authors: Stefan Strohmeier and Franca Piazza

Affiliation: Saarland University, Germany

Abstract: 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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.133.153.162

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

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 (ICEIS 2008) - HRIS; ISBN 978-989-8111-47-0, SciTePress, pages 51-62. DOI: 10.5220/0001735500510062

@conference{hris08,
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 (ICEIS 2008) - HRIS},
year={2008},
pages={51-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001735500510062},
isbn={978-989-8111-47-0},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Human Resource Information Systems (ICEIS 2008) - HRIS
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
PB - SciTePress