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Scientific Information Research

Keywords

multi-layer vocational-skill network; cross-job descriptors; industrial talent demand; dynamic observing

Abstract

[Purpose/ signficance]As an important tool for labor market observation，the relative robustness and other characteristics inherent in the traditional occupational classification system make it difficult to reflect changes in industrial talent demand in a timely manner. To solve this problem，this paper focuses on how to use digital means to map the relationship between occupations and skill requirements，and how to construct a multi-layer vocation-skill network and how to realize it. [Method/process]Firstly，design a set of cross-job descriptors，a common language for describing different jobs in Chinese context，in order to establish a vocation description framework for recruitment data development and utilization. Secondly，the Key technology of occupational intelligence classification based on job description text is established，and then a set of methods and models for the construction of a multi-layer vocational skill network reflecting the gradual specialization of skill requirements are formed; Finally，the method is validated by taking Shanghai IC industry as an example. [Result/conclusion]The experimental results show that the multi-layered job-skill network，which originates from the actual employment activities of enterprises，can assist us in observing diverse industrial talent needs with multi-dimensional granularity and flexibility.

First Page

52

Last Page

65

Submission Date

February 2024

Revision Date

June 2024

Acceptance Date

June 2024

Publication Date

October 2024

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2024.04.005

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