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Benoît Gailly

Researcher at Université catholique de Louvain

Publications -  53
Citations -  4057

Benoît Gailly is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Entrepreneurship & Conceptual framework. The author has an hindex of 15, co-authored 52 publications receiving 3658 citations.

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Assessing the impact of entrepreneurship education programmes : A new methodology

TL;DR: In this paper, the authors proposed a framework based on the theory of planned behaviour (TPB) to evaluate the design of entrepreneurship education programs (EEP) and evaluated the EEP's impact on the entrepreneurial intention of students.
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Assessing the Impact of Entrepreneurship Education Programmes: A New Methodology

TL;DR: In this paper, the authors proposed a framework based on the theory of planned behaviour (TPB) to evaluate the design of entrepreneurship education programs (EEP) and the increasing resources allocated.
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The Impact of Entrepreneurship Education on Entrepreneurial Attitudes and Intention: Hysteresis and Persistence

TL;DR: In this article, the authors investigated the influence of entrepreneurship education programs on participants' attitudes and intention toward entrepreneurship and how this influence related to past experience and how does it persis...
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From craft to science: teaching models and learning processes in entrepreneurship education

TL;DR: In this article, a conceptual framework for entrepreneurship education is presented, which is inspired by education sciences and discusses its two main levels, the ontological and educational levels. But the authors do not discuss the scientific legitimacy of entrepreneurship education.
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The Impact of Entrepreneurship Education on Entrepreneurial Attitudes and Intention: Hysteresis and Persistence

TL;DR: In this article, the authors propose to operationalize the concept of entrepreneurial intention and its antecedents in an attempt to address those issues, and propose an original research design where they measure the initial state and persistence of the impact and not only short-term effects, and deal with a compulsory program, allowing to avoid self-selection biases.