Balancing the Supply and Demand for Public Administration Professionals: A Big Data Analytics Approach_Vol. 2 No. 2 (JMSD 2025)_Journal of Management and Social Development (ISSN: 3005-5741)

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Balancing the Supply and Demand for Public Administration Professionals: A Big Data Analytics Approach

DOI: https://doi.org/10.62517/jmsd.202512218

Author(s)

Xiao Dou1, Yi Wang1, Ruyi Zhang2,*

Affiliation(s)

1Public Management Department of Shandong Agriculture University, Taian, Shandong, China 2Shandong College of Medical and Pharmaceutical Technology, Taian, Shandong, China *Corresponding Author

Abstract

Understanding social needs and optimizing professional talent training to adapt to market demands are major challenges facing universities. In fact, the rapid development of big data technology has provided new scientific paths and methods to solve the contradiction between talent supply and demand. This study focuses on Shandong Province and employs big data and text analysis methods to examine 4,757 job postings related to public administration, collected from the Zhaopin.com. The purpose is to explore the characteristics of labor market demand and propose countermeasures to resolve the disconnect between talent training and market expectations. The findings reveal significant regional disparities in job demands for public administration professionals. Most positions require associate or bachelor’s degrees and 1–3 years of work experience. These jobs are primarily concentrated in managerial and entry-level roles, with job descriptions emphasizing skills in human resource management, communication and coordination, and data analysis. However, several issues persist, including discrepancies between training objectives and enterprise needs, uneven regional talent distribution, insufficient talent reserves in emerging fields, and inconsistent talent evaluation standards. This paper proposes targeted strategies from multiple dimensions, including university training systems, school–enterprise cooperation mechanisms, and policy guidance, to better align talent training with labor market demands, thereby promoting a more effective match between education supply and industry demands.

Keywords

Social Demand for Talent; Professional Talent Training; Supply-Demand Balance; Text Analysis; Big Data

References

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