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Perceived Barriers of Gen AI Integration in Entrepreneurship Education

Intesar Almugren et al.

Journal of Global Information Management2026https://doi.org/10.4018/jgim.400249article
AJG 2ABDC A
Weight
0.50

Abstract

Generative AI can enhance venture creation education, yet faculty adoption remains limited. This study explores why through a three-stage mixed-methods approach. Stage 1 reviewed 2020–25 literature to identify 23 barriers across pedagogical, technical, institutional, and ethical domains. Stage 2 involved interviews with experienced entrepreneurship educators, refining and reducing the list to 15 context-specific challenges. Stage 3 used a fuzzy-DEMATEL survey to capture expert causal judgments, while thematic coding of interviews added narrative depth. The resulting influence map highlights a clear hierarchy: lack of staff training, unclear governance, and weak technical support are key upstream barriers, while concerns like plagiarism and over-reliance are downstream effects. Cluster analysis groups drivers into pedagogical, organisational, and infrastructural clusters, suggesting a phased response: begin with training and transparent policy, then invest in tools and assessments.

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https://doi.org/https://doi.org/10.4018/jgim.400249

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@article{intesar2026,
  title        = {{Perceived Barriers of Gen AI Integration in Entrepreneurship Education}},
  author       = {Intesar Almugren et al.},
  journal      = {Journal of Global Information Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/jgim.400249},
}

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Perceived Barriers of Gen AI Integration in 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

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.