Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

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

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read Online Read More Add to Saved list
  • Author(s): Lu Y;Lu Y; Tuo H; Tuo H; Fan H; Fan H; Yuan H; Yuan H
  • Source:
    PloS one [PLoS One] 2025 Feb 04; Vol. 20 (2), pp. e0317189. Date of Electronic Publication: 2025 Feb 04 (Print Publication: 2025).
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
      Salaries and Fringe Benefits*/statistics & numerical data ; Big Data* ; Employment*/statistics & numerical data ; Employment*/economics ; Advertising*/economics ; Advertising*/statistics & numerical data; China ; Humans ; Female ; Male ; Adult
    • 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.
      Competing Interests: The authors have declared that no competing interests exist.
      (Copyright: © 2025 Lu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
    • References:
      Big Data. 2013 Mar;1(1):51-9. (PMID: 27447038)
    • Publication Date:
      Date Created: 20250204 Date Completed: 20250204 Latest Revision: 20250206
    • Publication Date:
      20250206
    • Accession Number:
      PMC11793749
    • Accession Number:
      10.1371/journal.pone.0317189
    • Accession Number:
      39903725