•  
  •  
 

Journal of 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

27-Feb-2024

Revision Date

26-Jun-2024

Acceptance Date

24-Jun-2024

Published Date

01-Oct-2024

Reference

[1] ManpowerGroup.2023 global talent shortage[R/OL].[2023-05-15].https：//www.manpowergrc.com/pdf/about_research/MPG_TS_2023_Infographic_FINAL.pdf.
[2] 姚占雷，李瑾萱，许鑫.上海集成电路产业人才紧缺原因及改善举措[EB/OL].（2022-07-21）[2023-05-15].https：//www.thepaper.cn/newsDetail_forward_19112361.
[3] DUNLOP J T.The measurement and interpretation of job vacancies[M].Massachusetts：National Bureau of Economic Research，1966：27-47.
[4] CERNA L.The varieties of high-skilled immigration policies：coalitions and policy outputs in advanced industrial countries[J].Journal of European Public Policy，2009，16（01）：144-161.
[5] GREEN F，ASHTON D.Skill shortage and skill deficiency：a critique[J].Work，Employment and Society，1992，6（02）：287-301.
[6] DEMING D，NORAY K L.STEM careers and the changing skill requirements of work[R].National Bureau of Economic Research，2018.
[7] CHEN L，ERIKSSON T.Vacancy Duration，Wage Offers，and Job Requirements-Pre-Match Data Evidence[J].University of Aarhus，Aarhus School of Business，Department of Economics，Working Papers，2009：09-6.
[8] AZIZ M I，ADNAN A A，AFTHANORHAN A，et al.The influence of employer value proposition in talent demand towards talent shortage in the Malaysian Islamic banking institutions：A SEM approach[J].Management Science Letters，2019，9（06）：843-850.
[9] CAPPELLI P.Skill gaps，skill shortages，and skill mismatches：Evidence and arguments for the United States[J].ILR Review，2015，68（02）：251-290.
[10] WU Q，ZHAO L，YE X C.Shortage of healthcare professionals in China[J].British Medical Journal，2016（354）：i4860.
[11] 二季度：整体供求矛盾缓和西部部分岗位急缺[J].中国人才，2004（09）：88-89.
[12] 高牧.2007年一季度劳动力总体供大于求 高技能人才依然紧俏[J].中国培训，2007，170（05）：17.
[13] 胡梦平，李申华，孙杰.新旧动能转换背景下重点产业紧缺人才需求调查分析：以青岛市为例[J].中国人事科学，2021（04）：65-77.
[14] 裴璇，王雪.基于大数据方法海淀区战略新兴产业人才紧缺岗位的研究[J].商场现代化，2018（23）：83-84.
[15] 刘雨，徐爱军，陈安琪，等.医疗卫生紧缺专门人才的测算研究：以江苏省为例[J].中国卫生经济，2016，35（12）：47-50.
[16] PETERSON N G，MUMFORD M D，BORMAN，et al.Understanding work using the Occupational Information Network（O*NET）：Implications for practice and research[J].Personnel Psychology，2001，54（02）：451-492.
[17] BURRUS J，JACKSON T，XI N，et al.Identifying the most important 21st century workforce competencies：An analysis of the Occupational Information Network（O*NET）[R].ETS Research Report Series，2013.
[18] MUJTABA D，MAHAPATRA N.Towards Data-Enabled Career Planning with the Occupational Information Network （O*NET）[C].2019 International Conference on Computational Science and Computational Intelligence，2019：1547-1549.
[19] WEINSTEIN A，PATRICK C.Recession‐proof skills，cities，and resilience in economic downturns[J].Journal of Regional Science，2020，60（02）：348-373.
[20] FAHRENBACH F，KAISER A，SCHNIDER A.A competency perspective on the occupational network （O*NET）[C]//Proceedings of the 52nd Hawaii International Conference on System Sciences，Hawaii：HICSS，2019.
[21] JOYEZ C，LAFFINEURr C.The occupation space：network structure，centrality and the potential of labor mobility in the French labor market[J].Applied Network Science，2022，7（01）：16.
[22] MUNEEPEERAKUL R，LOBO J，SHUTTERS S T，et al.Urban economies and occupation space：Can they get "there" from "here"?[J].PloS One，2013，8（09）：e73676.
[23] WATERS K，SHUTTERS S T.Skills-approximate occupations：using networks to guide jobs retraining[J]. Applied Network Science，2022，7（01）：1-13.
[24] FLEISHMAN E A.Toward a taxonomy of human performance[J].American Psychologist，1975，30（12）：1127.
[25] FLEISHMAN E A.Systems for describing human tasks[J].American Psychologist，1982，37（07）：821.
[26] FINE S A，CRONSHAW S F.Functional job analysis：A foundation for human resources managemet[M].New York：Psycholgy Press，1999.
[27] 杨捷，陈凯华，穆荣平.技术预见方法的回顾与展望[J].科学学与科学技术管理，2022，43（12）：3-14.
[28] FONTANA B，UVOLARI A，VERSPAGEN B.Mapping technological trajectories as patent citation networks：A study on the history of fuel cell research[J].Advances in Complex Systems，2007，10（01）：93-115.
[29] 戚筠，唐恒，石俊国.基于小世界网络特性的核心技术识别研究：以石墨烯为例[J].情报杂志，2020，39（02）：50-55.
[30] 张维冲，王芳，赵洪.多源信息融合用于新兴技术发展趋势识别：以区块链为例[J].情报学报，2019，38（11）：1166-1176.
[31] 赵新月，赵筱媛.基于高层次创新人才科研动向监测的前沿技术识别体系[J].情报学报，2021，40（12）：1279-1287.
[32] 刘知远，孙茂松.汉语词同现网络的小世界效应和无标度特性[J].中文信息学报，2007（06）：52-58.
[33] CANCHO R F I，SOLÉ R V.The small world of human language[J].Proceedings of the Royal Society of London.Series B：Biological Sciences，2001，268（1482）：2261-2265.

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2024.04.005

Download

Share

COinS