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Intelligent competency mapping for improving knowledge management in consulting firms

Published online by Cambridge University Press:  16 May 2024

MohammadReza Mirafzal ,
Sabrine Fhal ,
Piyush Wadhera  and
Julie Stal-Le Cardinal
MohammadReza Mirafzal*
Affiliation:
CentraleSupélec, France Sibylone, France
Sabrine Fhal
Affiliation:
CentraleSupélec, France
Piyush Wadhera
Affiliation:
Sibylone, France
Julie Stal-Le Cardinal
Affiliation:
CentraleSupélec, France
*
mohammadreza.mirafzal@centralesupelec.fr

Abstract

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This study explores the application of competency mapping models, incorporating in knowledge management for consulting firms. It evaluates 15 different models, focusing on their suitability for consulting contexts based on data collection, advantages, risks, and limitations. The findings indicate that AI and ML-enhanced competency mapping models are particularly more effective in consulting firms. Finally, the article proposes three key applications of these models for improving knowledge management in consulting firms via empowering communities and collaboration.

Keywords

knowledge managementdata-driven designcompetency mappingconsulting firms

Information

Type
Design Information and Knowledge
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 433 - 442
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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