Do Current HRIS Meet the Requirements of HRM?: An Empirical Evaluation using Logistic Regression and Neural Network Analysis

Stefan Strohmeier, Rüdiger Kabst

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 Harvard Style

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 - Volume 1: HRIS, (ICEIS 2007) ISBN 978-989-8111-02-9, pages 31-44. DOI: 10.5220/0002418500310044


in Bibtex Style

@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 - Volume 1: HRIS, (ICEIS 2007)},
year={2007},
pages={31-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002418500310044},
isbn={978-989-8111-02-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Human Resource Information Systems - Volume 1: HRIS, (ICEIS 2007)
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