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Authors: Stefan Strohmeier 1 and Rüdiger Kabst 2

Affiliations: 1 Saarland University, Germany ; 2 Justus-Liebig University Gießen, Germany

Abstract: Our paper examines the question whether major features of current HRIS actually meet requirements of HRM. To do so, we initially identify major features of current HRIS, discuss why these features may or may not meet requirements of HRM and derive corresponding hypotheses. Subsequently, we employ an international large-scale survey to test these hypotheses by combining logistic regression and neural network analysis. Our results draw a rather positive picture of HRIS: If equipped with the right functionality and delivery features current HRIS are able to meet requirements of HRM.

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Paper citation in several formats:
Strohmeier, S. and Kabst, R. (2007). Do Current HRIS Meet the Requirements of HRM?: An Empirical Evaluation using Logistic Regression and Neural Network Analysis. In Proceedings of the 1st International Workshop on Human Resource Information Systems (ICEIS 2007) - HRIS; ISBN 978-989-8111-02-9, SciTePress, pages 31-44. DOI: 10.5220/0002418500310044

@conference{hris07,
author={Stefan Strohmeier. and Rüdiger Kabst.},
title={Do Current HRIS Meet the Requirements of HRM?: An Empirical Evaluation using Logistic Regression and Neural Network Analysis},
booktitle={Proceedings of the 1st International Workshop on Human Resource Information Systems (ICEIS 2007) - HRIS},
year={2007},
pages={31-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002418500310044},
isbn={978-989-8111-02-9},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Human Resource Information Systems (ICEIS 2007) - HRIS
TI - Do Current HRIS Meet the Requirements of HRM?: An Empirical Evaluation using Logistic Regression and Neural Network Analysis
SN - 978-989-8111-02-9
AU - Strohmeier, S.
AU - Kabst, R.
PY - 2007
SP - 31
EP - 44
DO - 10.5220/0002418500310044
PB - SciTePress