Implementation of the work-based learning model in SMEs

Ranking the indicators of feasibility based on transitivity

Bibliographic Data

ID2434895
AuthorsMax Hogeforster (0009-0007-0753-6608), Romualdas Ginevicius (0000-0003-2067-4398)
Year2024
Volume17
Issue3
Pages291-302
Publication date2024-09-01
Open AccessYes
TypeARTICLE
VenueEconomics & Sociology (JOURNAL)
Journal identifiersISSN: 2071-789X • E-ISSN: 2306-3459
PublisherCentre of Sociological Research, Szczecin, Poland (PUBLISHER • PL)
DOI10.14254/2071-789x.2024/17-3/15
OpenAlexW4403789982
LanguageEN
References cited37

Work-based learning models have been applied to varying extent across countries. This raises questions about the factors that determine the feasibility of their implementation in small and medium-sized enterprises (SMEs). The multifaceted impact of these factors and the indicators reflecting them varies significantly, which makes it necessary to rank them appropriately. This study uses a pairwise comparison of the indicators' importance based on their transitivity to determine such ranking. This new methodology is superior to existing approaches in that it allows the researcher to determine the importance rankings of a virtually unlimited number of indicators without compromising the adequacy of the assessment. It also significantly reduces the scope of expert judgement. The methodology also accounts for interactions between indicators, further improving the relevance of the rankings. Finally, the proposed methodology is versatile as it can be applied to rank the importance of any type of indicators reflecting the state of socio-economic systems

Business · Knowledge management · Machine learning · Process management · Ranking (information retrieval) · Transitive relation · Work (physics) · Computer Science · Engineering · Entrepreneurship Studies and Influences · Higher Education and Employability · Marketing · Mathematics

Tools

Open DOIOpen Access