Improved decision aiding in human resource management: A case using constructivist multi‐criteria decision aiding

Abstract

Purpose

Identify the criteria/KPIs to support managers during human resource allocation based on knowledge demand, which serves as a decision support tool to help maintain organizational competitiveness.

Design/methodology/approach

Human resource allocation in a project management model, based on knowledge demand and using a multi‐criteria decision aiding method as an intervention instrument.

Findings

Three major areas of concern were identified. In all, 76 KPIs to explain concerns associated with the values of the manager, and develop cardinal and ordinal scales for each descriptor and integrate compensation rate. Further, he was allowed to implement and evaluate the current performance of the analyzed engineer, with 44 points on a cardinal scale, and provide a model with improved actions that raised his assessment to 55,67.

Originality/value

The Multi‐Criteria Decision Aiding‐Constructivist methodology (MCDA‐C) emerges as a traditional MCDA method to support decision makers in the contexts where they have a partial understanding and wish to increase their knowledge of the consequences of their values and preferences. In addition, these managers will also need to utilize time management, as people issues in the place of other functions have been highlighted in numerous published articles over how the management of human resource allocation can influence the competitive performances of an organization.

Citation

Rolim Ensslin, S., Ensslin, L., Back, F. and Tadeu de Oliveira Lacerda, R. (2013), "Improved decision aiding in human resource management: A case using constructivist multi‐criteria decision aiding", International Journal of Productivity and Performance Management, Vol. 62 No. 7, pp. 735-757. https://doi.org/10.1108/IJPPM-04-2012-0039