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A data-driven approach to aligning academic offerings with industry needs for business and economy in Slovenia
ID Andonovikj, Viktor (Author), ID Boshkoska, Biljana Mileva (Author), ID Redek, Tjaša (Author), ID Boškoski, Pavle (Author)

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Abstract
The success of graduates and their employability hinge on a crucial alignment between the skills and competencies sought by employers and those possessed by job seekers. This study delves into the extent to which the competencies cultivated in the curricula of selected Slovenian universities align with the ever-evolving requirements of the Slovenian labour market. Employing a combination of LLaMA-2-7B-chat, a generative language model, and the multilingual Sentence Transformer, a contextual language model, we identify skill gaps and pinpoint the most in-demand competencies that align with those generated by the faculty. This data-driven approach offers a roadmap for confirming the relevance and enhancing the university curricula, thus fostering a stronger connection between education and employment as well as improving the labour market efficiency.

Language:English
Keywords:labour market, decision making, artificial intelligence, decision support, language models, data-driven insights
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:EF - School of Economics and Business
Publication status:Published
Publication version:Version of Record
Year:2024
Number of pages:Str. 284-296
Numbering:Vol. 33, no. S1
PID:20.500.12556/RUL-167625 This link opens in a new window
UDC:331.5
ISSN on article:1246-0125
DOI:10.1080/12460125.2024.2354587 This link opens in a new window
COBISS.SI-ID:195922179 This link opens in a new window
Publication date in RUL:04.03.2025
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Downloads:33
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Record is a part of a journal

Title:Journal of decision systems
Publisher:Taylor & Francis
ISSN:1246-0125
COBISS.SI-ID:515053593 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:trg dela, odločanje, umetna inteligenca

Projects

Funder:ARRS - Slovenian Research Agency
Project number:V5-2267
Name:Vpliv umetne inteligence na trg dela: ekonomska analiza, zmanjševanje kompetenčnega razkoraka in zagotavljanje delovnopravne zaščite

Funder:ARRS - Slovenian Research Agency
Project number:J5-4575
Name:Investicije kot ključ do izgradnje trajnostnega podjetja: izgradnja teoretičnega modela in multimetodološka empirična analiza

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0001
Name:Sistemi in vodenje

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0383
Name:Kompleksna omrežja

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