Assessing the impact of entrepreneurship education programmes: a new methodology

Assessing the impact of entrepreneurship education programmes: a new methodology Purpose – Facing the multiplication of entrepreneurship education programmes (EEP) and the increasing resources allocated, there is a need to develop a common framework to evaluate the design of those programmes. The purpose of this article is to propose such a framework, based on the theory of planned behaviour (TPB). Design/methodology/approach – TPB is a relevant tool to model the development of entrepreneurial intention through pedagogical processes. The independent variables are the characteristics of the EEP and the dependent variables are the antecedents of entrepreneurial behaviour. To illustrate and test the relevance of the evaluation methodology, a pilot study is conducted. Findings – Data are consistent and reliable, considering the small scale of this experiment. The EEP assessed had a strong measurable impact on the entrepreneurial intention of the students, while it had a positive, but not very significant, impact on their perceived behavioural control. Research implications/limitations – This is a first step of an ambitious research programme aiming at producing theory‐grounded knowledge. Reproduction of the experiment will allow researchers to test how specific characteristics of an EEP influence its impact and how the impact differs across several cohorts of students. Those comparisons will serve to improve a priori the design of EEP. Originality/value – The new methodology is built on a robust theoretical framework and based on validated measurement tools. Its originality is about a relative – longitudinal – measure of impact over time and a particular use of the theory of planned behaviour which is seen as an assessment framework. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of European Industrial Training Emerald Publishing

Assessing the impact of entrepreneurship education programmes: a new methodology

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Publisher
Emerald Publishing
Copyright
Copyright © 2006 Emerald Group Publishing Limited. All rights reserved.
ISSN
0309-0590
DOI
10.1108/03090590610715022
Publisher site
See Article on Publisher Site

Abstract

Purpose – Facing the multiplication of entrepreneurship education programmes (EEP) and the increasing resources allocated, there is a need to develop a common framework to evaluate the design of those programmes. The purpose of this article is to propose such a framework, based on the theory of planned behaviour (TPB). Design/methodology/approach – TPB is a relevant tool to model the development of entrepreneurial intention through pedagogical processes. The independent variables are the characteristics of the EEP and the dependent variables are the antecedents of entrepreneurial behaviour. To illustrate and test the relevance of the evaluation methodology, a pilot study is conducted. Findings – Data are consistent and reliable, considering the small scale of this experiment. The EEP assessed had a strong measurable impact on the entrepreneurial intention of the students, while it had a positive, but not very significant, impact on their perceived behavioural control. Research implications/limitations – This is a first step of an ambitious research programme aiming at producing theory‐grounded knowledge. Reproduction of the experiment will allow researchers to test how specific characteristics of an EEP influence its impact and how the impact differs across several cohorts of students. Those comparisons will serve to improve a priori the design of EEP. Originality/value – The new methodology is built on a robust theoretical framework and based on validated measurement tools. Its originality is about a relative – longitudinal – measure of impact over time and a particular use of the theory of planned behaviour which is seen as an assessment framework.

Journal

Journal of European Industrial TrainingEmerald Publishing

Published: Dec 1, 2006

Keywords: Entrepreneurialism; Curricula; Training evaluation; Teaching methods

References

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