Young entrepreneurs and skills mismatch in school-to-work transition: empirical evidence from innovation processes managed in Italian NTBFs

Abstract

Purpose Diversity in entrepreneurship has become a noteworthy topic of research since consistent differences – and few similarities, if any – exist among entrepreneurial profiles. The present paper aims to compare different entrepreneurial profiles managing innovation processes in new technology-based firms (NTBFs). In particular, attention is focussed on young entrepreneurs who are in a critical phase of their lifelong learning, the school-to-work transition. Design/methodology/approach Statistical elaborations are based on data retrieved from Italian Ministry of Economic Development in January 2021 and carried out through stochastic frontier analyses. Respectively, 1,699 young entrepreneurs, 1,079 female entrepreneurs, 205 ethnic entrepreneurs and 8,224 stereotyped entrepreneurs are considered. Findings Factors affecting the performance of innovation processes managed in NTBFs are the same for stereotyped and female entrepreneurs, but they consistently differ for young and ethnic entrepreneurs. Achieved results are not in the position to offer a complete analysis of the phenomenon but – hopefully – can corroborate a very interesting and up-to-date research path that merits further development. In particular, young entrepreneurs disclose an unexpected skills mismatch that should be investigated in-depth. Originality/value Most contributions offer a narrow view of entrepreneurial profiles since they focus on one profile per time. The present paper, instead, considers four entrepreneurial profiles and compares them. Moreover, young entrepreneurs reveal an unexpected skills mismatch that underlines the relevance of specific activities of on-the-job training and apprenticeships in order to try to overcome it and improve the results achievable by young entrepreneurs.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 10 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.