Leveraging Artificial Intelligence to Enhance the Use of the Knowledge Repository: An Engineering Consulting View
This study explores how the artificial intelligence (AI) functionalities of interaction, automation, search and retrieval, pattern recognition, and reason and decision-making could address the barriers that hinder the use of the knowledge repository transfer mechanism in knowledge management. The research finds that AI technologies could directly improve the repository’s usefulness, accessibility, and interface while also indirectly boosting awareness of the repository and the motivation to use the repository. The study also highlights the need for a collaborative human—AI approach to optimise the use of the knowledge repository and to guide future knowledge management strategies.
Authors
- Corro Van Waveren
- Renisha Nikeyi
Institutions
- University of Pretoria (ZA)
Publication Details
- Journal
- The South African Journal of Industrial Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.7166/36-1-3142
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.28