Will Big Data Become a New Barrier to Talent Management: A Systematic Review Based on Domestic and International Studies

DOI

10.2991/978-2-38476-541-6_110How to use a DOI?

Keywords

Big Data; Privacy Barriers

Abstract

The research topic of this paper is whether big data will become a new barrier in talent management. To date, big data has brought benefits to talent management, but privacy leakage and algorithmic unfairness remain the main risks. Big data has a dual nature in talent management. On the one hand, it can significantly improve efficiency and help enterprises make efficient decisions. On the other hand, issues such as privacy and algorithmic bias may also become obstacles to the use of computers for precise decision-making based on big data. The problems identified in the research include the bias and lack of fairness in the black box of big data algorithms. Some companies face obstacles in technical capability and organizational adaptation due to the lack of equipment. The non-circulation of databases between regions makes cross-cultural and data governance difficult. Classifying the access rights to sensitive data, detailing and presenting the core variables of big data algorithms, and using channel-based media for cross-border transmission of large databases are several specific measures that may become important solutions to the current problems.

Copyright

© 2026 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)

TY  - CONF
AU  - Baofang Zhang
PY  - 2026
DA  - 2026/02/26
TI  - Will Big Data Become a New Barrier to Talent Management: A Systematic Review Based on Domestic and International Studies
BT  - Proceedings of the 2025 5th International Conference on Culture, Design and Social Development (CDSD 2025)
PB  - Atlantis Press
SP  - 989
EP  - 997
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-541-6_110
DO  - 10.2991/978-2-38476-541-6_110
ID  - Zhang2026
ER  -