Interactive Fuzzy Decision Support to Adjust Human Resource Structures

Peter Rausch, Michael Stumpf

Abstract

Human resource planning plays a key role for enterprises’ and organizations’ sustainable success. This paper focuses on issues and challenges in the field of human resource planning in hierarchical organizations. Due to current challenges, like digital transformation, progress in artificial intelligence, etc., a fundamental structural transformation of workforce is initiated in many companies and organizations. Especially, huge enterprises in many industries and the service sector as well as organizations in the public sector have to review their mid-term and long-term desired human resource (HR) target structures. Based on an organization’s target structure, a strategy to transfer the actual HR structure to a desired new target structure is needed. This step is a big challenge because of many uncertainties of system parameters and complex structures of the planning approaches with many constraints and conflicting goals. To bridge gaps in this field, an interactive fuzzy approach which supports the development of strategies for actual-target structural adjustments (ATSA) in big organizations will be presented. This approach manages conflicting goals and is based on experience gained in an organization of the public sector, but it can also be transferred to non-governmental industry and service companies.

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Paper Citation


in Harvard Style

Rausch P. and Stumpf M. (2018). Interactive Fuzzy Decision Support to Adjust Human Resource Structures.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 441-447. DOI: 10.5220/0006765204410447


in Bibtex Style

@conference{iceis18,
author={Peter Rausch and Michael Stumpf},
title={Interactive Fuzzy Decision Support to Adjust Human Resource Structures},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={441-447},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006765204410447},
isbn={978-989-758-298-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Interactive Fuzzy Decision Support to Adjust Human Resource Structures
SN - 978-989-758-298-1
AU - Rausch P.
AU - Stumpf M.
PY - 2018
SP - 441
EP - 447
DO - 10.5220/0006765204410447