Analyzing the labor market and salary determinants for big data talent based on job advertisements in China

The demand for big data talent is rapidly increasing with the growth of the big data industry. However, there has been limited research on what employers seek in recruiting big data talent. This paper aims to apply labor market segmentation theories to the big data labor market and develop a theoretical framework to analyze the distribution of big data talent in different labor market segments. Furthermore, we develop a salary determination model to explain wage differentials. An empirical analysis is conducted using online job advertisements from a Chinese recruitment website to investigate the labor market for big data talent in China. Our findings show that there are significant differences in the demand for big data talent across different types of cities and industries. Different types of enterprises have different requirements for individual characteristics and offer various levels of big data job positions. Furthermore, our results reveal that individual, job-related and organizational characteristics are all significant predictors of salaries. These findings can provide particularly useful insights for organizations and managers in the big data industry.

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Publication Details

Journal
PLoS ONE
Published
2025-02-04
DOI
https://doi.org/10.1371/journal.pone.0317189
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Analyzing the labor market and salary determinants for big data talent based on job advertisements in China

Hongchao Fan, Hong Tuo, Hai Ying Yuan, Yingjie Lu
PLoS ONE
AI and HR Technologies
article

Analyzing the labor market and salary determinants for big data talent based on job advertisements in China

Hongchao Fan, Hong Tuo, Hai Ying Yuan, Yingjie Lu
article en

Abstract

The demand for big data talent is rapidly increasing with the growth of the big data industry. However, there has been limited research on what employers seek in recruiting big data talent. This paper aims to apply labor market segmentation theories to the big data labor market and develop a theoretical framework to analyze the distribution of big data talent in different labor market segments. Furthermore, we develop a salary determination model to explain wage differentials. An empirical analysis is conducted using online job advertisements from a Chinese recruitment website to investigate the labor market for big data talent in China. Our findings show that there are significant differences in the demand for big data talent across different types of cities and industries. Different types of enterprises have different requirements for individual characteristics and offer various levels of big data job positions. Furthermore, our results reveal that individual, job-related and organizational characteristics are all significant predictors of salaries. These findings can provide particularly useful insights for organizations and managers in the big data industry.

PLoS ONEVol. 20(2)
Shanghai Lixin University of Accounting and Finance (CN), Beijing University of Chemical Technology (CN)
National Natural Science Foundation of China, Beijing University of Chemical Technology, Division of Undergraduate Education
Decent work and economic growth
Openalex Percentile: Top 98%
AI and HR Technologies
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Analyzing the labor market and salary determinants for big data talent based on job advertisements in China — Hongchao Fan, Hong Tuo, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS