Towards ESCO 4.0-Is the European classification of skills in line with Industry 4.0? A text mining approach

被引:39
作者
Chiarello, Filippo [1 ]
Fantoni, Gualtiero [1 ]
Hogarth, Terence [2 ,3 ]
Giordano, Vito [1 ]
Baltina, Liga [2 ]
Spada, Irene [1 ]
机构
[1] Univ Pisa, Sch Engn, Pisa, Italy
[2] Fdn Giacomo Brodolini, Rome, Italy
[3] Univ Warwick, Inst Employment Res, Coventry, W Midlands, England
关键词
Industry; 4.0; Technological change; Employment; Skill analysis; Text mining; TECHNOLOGIES; INNOVATION; EMPLOYMENT;
D O I
10.1016/j.techfore.2021.121177
中图分类号
F [经济];
学科分类号
02 ;
摘要
ESCO is a multilingual classification of Skills, Competences, Qualifications, and Occupations created by the European Commission to improve the supply of information on skills demand in the labour market. It is designed to assist individuals, employers, universities and training providers by giving them up to date and standardized information on skills. Rapid technological change means that ESCO needs to be updated in a timely manner. Evidence is presented here of how text-mining techniques can be applied to the analysis of data on emerging skill needs arising from Industry 4.0 to ensure that ESCO provides information which is current. The alignment between ESCO and Industry 4.0 technological trends is analysed. Using text mining techniques, information is extracted on Industry 4.0 technologies from: (i) two versions of ESCO (v1.0 - v1.1.); and (ii) from the 4.0 related scientific literature. These are then compared to identify potential data gaps in ESCO. The findings demonstrate that text mining applied on scientific literature to extract technology trends, can help policy makers to provide more up-to-date labour market intelligence.
引用
收藏
页数:18
相关论文
共 92 条
[41]  
Han J, 2012, MOR KAUF D, P1
[42]  
Han S, 2015, ADV NEUR IN, P1135
[43]   The O*NET content model: strengths and limitations [J].
Handel, Michael J. .
JOURNAL FOR LABOUR MARKET RESEARCH, 2016, 49 (02) :157-176
[44]  
Heckman JamesJ., 2000, RES ECON, V54, P1, DOI DOI 10.1006/REEC.1999.0225
[45]  
Howell D. C., 2012, STAT METHODS PSYCHOL
[46]   A domain keyword analysis approach extending Term Frequency-Keyword Active Index with Google Word2Vec model [J].
Hu, Kai ;
Wu, Huayi ;
Qi, Kunlun ;
Yu, Jingmin ;
Yang, Siluo ;
Yu, Tianxing ;
Zheng, Jie ;
Liu, Bo .
SCIENTOMETRICS, 2018, 114 (03) :1031-1068
[47]   Technology-function matrix based network analysis of cloud computing [J].
Huang, Jia-Yen ;
Hsu, Hung-Tu .
SCIENTOMETRICS, 2017, 113 (01) :17-44
[48]   Patent portfolio analysis of the cloud computing industry [J].
Huang, Jia-Yen .
JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT, 2016, 39 :45-64
[49]   Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda [J].
Jabbour, Charbel Jose Chiappetta ;
Jabbour, Ana Beatriz Lopes de Sousa ;
Sarkis, Joseph ;
Godinho Filho, Moacir .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 144 :546-552
[50]   The impact of sectoral changes on individual competences: A reflective scenario-based approach in the creative industries [J].
Kamprath, Martin ;
Mietzner, Dana .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2015, 95 :252-275