Text mining for human resources competencies: Taiwan example
European Journal of Training and Development
ISSN: 2046-9012
Article publication date: 6 December 2019
Issue publication date: 16 September 2021
Abstract
Purpose
The purpose of this study is to explore the capabilities required by entry-level human resources (HR) professionals based on job advertisements by using text mining (TM) technique.
Design/methodology/approach
This study used TM techniques to explore the capabilities required by entry-level HR professionals based on job advertisements on HR agency 104’s website in Taiwan. Python was used to crawl the advertisements on the website, and 841 posts were collected. Next, the author used TM to explore and understand hidden trends and patterns in numerous data sets.
Findings
The results of this study revealed four critical success factors (specific skills, educational level, experience and specific capabilities), five clusters and ten classifications.
Practical implications
The results can aid HR curriculum developers and educators in customizing and improving HR education curricula, such that HR students can develop capabilities required to secure employment in the current HR job market.
Originality/value
Our results may facilitate the understanding of the current trends in the HR job market and provide useful suggestions to HR curriculum developers for improving training and professional course design, such that students’ competitiveness is enhanced and professional capabilities improved.
Keywords
Acknowledgements
We most profound respect and gratitude go to Prof. Dian-Fu Chang, for his generously provided feedback on an early version of this article. A special thanks to Mr. Chang Chen for cooperating with the authors to write the python crawl programs. Finally, we thank the reviewers for expert suggestions and guidance through the revising process.
Citation
Chung, C.-H. and Chen, L.-J. (2021), "Text mining for human resources competencies: Taiwan example", European Journal of Training and Development, Vol. 45 No. 6/7, pp. 588-602. https://doi.org/10.1108/EJTD-07-2018-0060
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited