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Development of a data warehouse for the assessment of entrepreneurship education

Kassandra Papadopoulou et al.

Management Learning2026https://doi.org/10.1177/13505076251413653article
AJG 3ABDC A
Weight
0.50

Abstract

Measuring the success of entrepreneurship education is complex and involves several considerations. This measurement problem is often framed as conceptual in practice, rooted in identifying and applying an optimum metric demonstrating entrepreneurship, but underpinning this are methodological and processual challenges which limit the legitimacy of much evaluation. In this article, a data warehouse is proposed as a means of addressing such challenges and developing more robust data on the value of entrepreneurship education. Using a case study of a long-running Entrepreneurship Centre in a high-profile UK university, the article proposes a framework for developing an effective data warehouse, alongside discussion of the process followed in development and implementation. The article offers a novel approach to addressing an enduring problem and challenge faced by entrepreneurship educators through proposing a unique methodology for measurement not previously discussed in entrepreneurship education.

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https://doi.org/https://doi.org/10.1177/13505076251413653

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@article{kassandra2026,
  title        = {{Development of a data warehouse for the assessment of entrepreneurship education}},
  author       = {Kassandra Papadopoulou et al.},
  journal      = {Management Learning},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/13505076251413653},
}

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Development of a data warehouse for the assessment of entrepreneurship education

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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