Using constructivist multi-criteria decision aid to evaluate the workforce sizing in public organisations: the case of a Brazilian university

Juliana Fausto Flores, André Andrade Longaray, Leonardo Ensslin, Ademar Dutra, Sandra Ensslin and Vilmar Antonio Gonçalves Tondolo

International Journal of Operational Research, 2023, vol. 48, issue 3, 316-337

Abstract: When addressing staff sizing management, the workforce that is required to meet the institution's objectives must be quantitatively and qualitatively identified and analysed, taking the institution's environment into account. Most studies concerning workforce sizing in learning institutions are limited to measuring faculty performance. Therefore, a gap in the literature exists concerning a performance evaluation of the sizing procedures for the administrative workforce at universities. We developed a model to determine the requirements for a workforce sizing at a Brazilian public university. The research was classified as applied, exploratory, and descriptive, and it was divided into qualitative and quantitative steps. Utilising a constructivist multi-criteria decision aid approach, 83 primary evaluation elements and 119 descriptors were identified. The status quo analysis revealed three areas with performance levels significantly lower and 50 indicators that are at a compromising level, for which action plans were proposed. The built model supported the manager in the performance evaluation of the staff sizing procedures.

Keywords: performance evaluation; MCDA-C; staff sizing; universities; human resources. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=134779 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:48:y:2023:i:3:p:316-337

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().