Mounir Amdaoud, Rim Bahroun, Nadine Levratto
- Abstract
- Integrated into public policies aimed at fostering entrepreneurship, the
PÉPITE plan (Student Hubs for Innovation, Transfer, and Entrepreneurship) plays a key
role in promoting an entrepreneurial culture in higher education. Through the National
Student-Entrepreneur Status (SNEE), it provides tailored support for business creation.
However, existing data reveal significant disparities among different PÉPITE hubs in
terms of trajectories and impact.This study seeks to document this heterogeneity through
a semantic analysis of the documents produced by PÉPITE, from the competition phase
to reporting, using the SpaCy natural language processing model. Our findings highlight
a strong homogeneity in the content of reports, reflecting a high degree of alignment
with institutional expectations. However, they also suggest that greater consideration of
local specificities and increased flexibility could enhance the program’s effectiveness and
strengthen its impact on student entrepreneurial engagement.
- Mot(s) clé(s)
- Student entrepreneurship, PÉPITE, Semantic analysis, Natural language processing
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