Adoption of Human Resource Development Management Model for Group Planning

Maksims Kazakovs

2016

Abstract

The human resources development management model that has been developed in previous stage of the research allows to create information systems with functionality to automatize the human resources development planning process. The author researched the model’s use cases and identified grope factors that influence development planning. The present article describes two approaches to extend the model in order to provide development planning in groups. Post-planning optimization approach is based on linear optimisation methods and allows to preserve the full individualisation of development plans by combining employees in groups with the same solutions in development plans. In this way, the group interests are not realized in full scale in order to maintain full individualisation. Pre-planning optimisation is based on competence gap analyses and provides better grouping with less individualisation. Both methods should be implemented in a real system for better suitability.

Paper Citation

in Harvard Style

Kazakovs M. (2016). Adoption of Human Resource Development Management Model for Group Planning . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 199-204. DOI: 10.5220/0005912101990204

in Bibtex Style

@conference{iceis16,
author={Maksims Kazakovs},
title={Adoption of Human Resource Development Management Model for Group Planning},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={199-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005912101990204},
isbn={978-989-758-187-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Adoption of Human Resource Development Management Model for Group Planning
SN - 978-989-758-187-8
AU - Kazakovs M.
PY - 2016
SP - 199
EP - 204
DO - 10.5220/0005912101990204