Universities and the impact of AI

Unknown author

Development and Learning in Organizations2026https://doi.org/10.1108/dlo-01-2026-0055article
ABDC C
Weight
0.50

What the paper says

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Universities that adopt AI and integrate it into existing decision making mechanisms lay a key platform for it to have a transformative effect. However, deeper learning and structural change will only occur when internal tensions and external pressures combine to create contradictions that must be addressed through measures that include change to key decision-making elements. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

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Cite this paper

https://doi.org/https://doi.org/10.1108/dlo-01-2026-0055

Or copy a formatted citation

@article{unknown2026,
  title        = {{Universities and the impact of AI}},
  author       = {Unknown author},
  journal      = {Development and Learning in Organizations},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/dlo-01-2026-0055},
}

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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.