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Partial least square path modelling and maximum entropy for the study of entrepreneurship education in naples university

digital Partial least square path modelling and maximum entropy
for the study of entrepreneurship education in naples university
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2019 - 1
title Partial least square path modelling and maximum entropy for the study of entrepreneurship education in naples university
authors



publisher Vita e Pensiero
format Article | Pdf
online since 08-2020
doi 10.26350/999999_000019
issn 18246672 (print)
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Although successful entrepreneurship education (EE) is possible through the most effective way to manage teachable skills and competencies, there is no universal pedagogical recipe to teach entrepreneurship. This paper attempts to identify the most appropriate teaching methods and addresses the paucity of entrepreneurial outcomes on university experiences in EE. Using a survey of students at a Naples University, it attempts to advance our understanding of an entrepreneurship education program. The study is based on a sample of 665 students and the analysis has been carried out considering joint use of Partial Least squares-path modelling (PLS-PM) and the Generalized Maximum Entropy Estimator (GME). The results show that the entrepreneurial outcome of Entrepreneurship Education programmes is influenced on the satisfaction that students perceive from the educational process. The novel aspects of this paper are: the formalization of an entrepreneurship education program in a Naples University and a methodological point of view involving integration between PLS-PM and GME estimators through PLS reliability measures.

keywords

Partial Least squares Path Modelling, Generalized Maximum Entropy, Entrepreneurship Education Programs, Entrepreneurial Outcomes.

Authors biography

Dipartimento di Economia, Management, Istituzioni - Università di Napoli Federico II - Corso Umberto I, 40 - 80138 NAPOLI ( e-mail: anna.crisci@unina.it; enrica.sepe@unina.it; raffaela.palma@unina.it); Dipartimento di Economia - Università della Campania Luigi - Viale A. Lincoln, 5 - 81100 CASERTA (e-mail: antonello.dambra@unicampania.it); Dipartimento di Storia, Società e Studi sull’uomo - Università del Salento, via di Valesio, 24 - LECCE (e-mail: enrico.ciavolino@unisalento.it).