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Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationAdvances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences
Subtitle of host publicationProceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, July 16-20, 2020, USA
EditorsSalman Nazir, Tareq Ahram, Waldemar Karwowski
PublisherSpringer
Pages310-316
Number of pages7
ISBN (Electronic)978-3-030-50896-8
ISBN (Print)9783030508951
DOIs
Publication statusPublished - 2020
Publication typeA4 Article in a conference publication
EventInternational Conference on Applied Human Factors and Ergonomics -
Duration: 1 Jan 1900 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1211 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Applied Human Factors and Ergonomics
Period1/01/00 → …

Abstract

In information technology and communication (ITC) industry the technology advances are unexpected and moving mysterious ways causing significant mismatch between demand and supply in labour market. To some extent the mismatch is due to emergence of new technologies replacing the old ones. On the other hand, it is also due to lack of capability and capacity of educational system to provide up to date and spot on graduates. There are several attempts to bridge the gap between supply and demand, yet both public and private sector had at least partially failed in the task. This paper presents a novel AI driven modus operandi that provides students or persons already in labour market a way to match one’s competencies against existing or future competency requirements, and thus being valid employee or applicant. On the other hand, the service discussed in the paper is also tool for giving input for forecasting future labour needs. And the third, the service also serves as mid- and long-range planning apparatus for education provider when making decisions on what academic modules best serve the needs of society and individuals. The paper presents the concept of technology and functionalities as well as roadmap for developing and implementing the service. The presented concept is heuristically proofed in expert evaluation. Moreover, the heart of the service has been technically and functionally tested in several cases. At the conclusion the paper presents model for matching system for labour competency development. The issues related to implementation and the next steps are also discussed.

Keywords

  • Competency development, Digital Twins, Labour market mismatch, Natural language

Publication forum classification

Field of science, Statistics Finland