An attempt to estimate the competency gap in the IT sector
Abstract
Objective: The aim of this article is to determine whether there is a gap between the demand for competencies of graduates of the computer science major and their supply.
Research Design & Methods: Identification of the key set of competencies required by employers from job applicants and estimation of the competency gap in the IT sector was conducted using the method of exploratory analysis of job offers for positions related to the administration of IT systems.
Findings: The results of the preliminary research shown that proposed method can be used for estimation of competency gap however it requires more experiments.
Contribution & Value Added: Proposition of new method for competency gap calculation based on exploratory analysis of data available in the Internet.
Keywords
competency; competency gap; labour market; IT sector; Latent Dirichlet Analysis
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Cracow University of Economics Poland
http://orcid.org/0000-0003-2057-7299
He obtained a doctoral degree and a habilitation degree at the Cracow University of Economics. His research interests include data analysis methods and tools, information technology, artificial intelligence, methods of web, graph and text mining.
Cracow University of Economics Poland
http://orcid.org/0000-0001-5936-6398
She obtained a doctoral degree and a habilitation degree at the Cracow University of Economics. Her research interests include employee competencies, labour market, globalization and internationalization of enterprises.
Cracow University of Economics Poland
http://orcid.org/0000-0003-4760-2634
She obtained a doctoral degree at the Cracow University of Economics. Her research interests include employability, employee competencies, labour market and diversity management.
Cracow University of Economics Poland
http://orcid.org/0000-0002-4431-5245
She obtained a master’s degree at the Cracow University of Economics. Her research interests include data mining, text mining, opinion mining, competencies analysis and widely defined data analysis.
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