Modelling problems in a regional labour market in Poland with MARS and CMARS — supported by optimisation

Özmen Ayşe (), Graczyk-Kucharska Magdalena (), Szafrański Maciej (), Goliński Marek (), Weber Gerhard-Wilhelm (), Gütmen Selma (), Włodarczak Zbigniew (), Çevik Alper () and Broda Marta ()
Additional contact information
Özmen Ayşe: National University of Singapore, Centre for Maritime Studies, Singapore
Graczyk-Kucharska Magdalena: Poznan University of Technology, Poznań, Poland
Szafrański Maciej: Poznan University of Technology, Poznań, Poland
Goliński Marek: Poznan University of Technology, Poznań, Poland
Weber Gerhard-Wilhelm: Poznan University of Technology, Poznań, Poland
Gütmen Selma: Poznan University of Technology, Poznań, Poland
Włodarczak Zbigniew: Poznan University of Technology, Poznań, Poland
Çevik Alper: Hemosoft IT & Training Services Inc, Ankara, Turkey
Broda Marta: Poznan University of Technology, Poznań, Poland

Engineering Management in Production and Services, 2025, vol. 17, issue 1, 52-65

Abstract: The study mainly aims to learn about job candidates’ characteristics that influence the declared levels of their general skills (G). The set of characteristics examined included common skills (C), professional skills (P) and other economic and social characteristics of candidates. In this context, it is essential to observe the required knowledge and core skills on the market and to make this knowledge available to decision-makers from public institutions, entrepreneurs and educational institutions. The main research objective is also related to verifying the method used to analyse large multi-dimensional databases of competencies that can be used to improve vocational education and its fit to the labour market. An additional objective of the study is also to find the relationship between the characteristics of the offers (the time of visibility and publication of offers, the distance of the job from the place of residence) and the grouping of competencies in individual professions and occupational groups. It is linked to another problem: identifying factors that influence the design and availability of employee competencies. MARS and CMARS methods were used as neutral computing methodologies to determine the relationship between the response variable (G) and the input variables. Their use allows for commenting on how fulfilment can be determined between the requirements of employers and decision-makers in government. The duration of visibility and publication of the offer might be informative for job candidates and, thus, significantly influence the development of competences in the region. The innovative use of advanced statistical methods to achieve the goal in the area of competence management allows for high precision of the results, reducing risks in making management decisions.

Keywords: competence management; conic optimisation; multivariate adaptive regression splines; interior point method; green skills; digital skills (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/emj-2025-0005 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:ecoman:v:17:y:2025:i:1:p:52-65:n:1005

DOI: 10.2478/emj-2025-0005

Access Statistics for this article

Engineering Management in Production and Services is currently edited by Joanna Ejdys

More articles in Engineering Management in Production and Services from Sciendo
Bibliographic data for series maintained by Peter Golla ().