Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

<Previous Article In Volume
Next Article In Volume>

A study of human resource management competency model based on data science

Authors
Kang Wang1, *
1UCSI University, Kuala Lumpur, Malaysia
*Corresponding author. Email: 1002163414@ucsiuniversity.edu.my
Corresponding Author
Kang Wang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_133How to use a DOI?
Keywords
human resource management; competency; data Science; competency model
Abstract

In this paper, word frequency statistics of HRM competency factors in related literature were conducted, and high-frequency competency factors were selected as HRM generic competency factors, and other data science competency factors were added by analyzing new requirements of HRM personnel through data science, which were finally sorted and summarized as HRM competency factors of mathematical science. On the basis of the initial proposed competency factors, the statistical data were subjected to reliability analysis, descriptive statistical analysis and exploratory factor analysis, and the dimensions of the data science-based human resource management personnel competency model were finally determined. To a certain extent, it enriches and improves the research on data science employee competency requirements and HRM personnel competency transformation, and also provides a theoretical basis for enterprises to promote HRM data science and enhance HRM talent training mechanism.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_133
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_133How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kang Wang
PY  - 2022
DA  - 2022/12/29
TI  - A study of human resource management competency model based on data science
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1292
EP  - 1296
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_133
DO  - 10.2991/978-94-6463-102-9_133
ID  - Wang2022
ER  -