Research on Hotspots of Human Resource Management in the Digital Economy Era Based on Co-word Analysis

DOI

10.2991/978-94-6463-056-5_115How to use a DOI?

Keywords

Human resource management; Digital Economy Era; Co-word analysis

Abstract

With the advent of the digital economy era, artificial intelligence and big data have brought great changes to the field of human resource management. Based on the database of China Knowledge Network, this paper uses co-word analysis to sort out the literature focusing on the field of human resource management in the era of digital economy in the past seven years (2016-2022), and then uses SPSS to conduct cluster analysis and multi-dimensional scale analysis, and finds that the current research hotspots in the field of human resource management mainly focus on human capital innovation brought by information management, human resource management innovation brought by big data Based on the findings of the study, we provide suggestions for the development of human resource management in the digital economy, and offer new perspectives and directions for human resource management research.

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.

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TY  - CONF
AU  - Yumeng Zhang
PY  - 2022
DA  - 2022/12/29
TI  - Research on Hotspots of Human Resource Management in the Digital Economy Era Based on Co-word Analysis
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 796
EP  - 800
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_115
DO  - 10.2991/978-94-6463-056-5_115
ID  - Zhang2022
ER  -