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Unlocking GAI in Universities: Leadership-Driven Corporate Social Responsibility for Digital Sustainability

Mostafa Aboulnour Salem & Zeyad Aly Khalil

Administrative Sciences2026https://doi.org/10.3390/admsci16020058article
ABDC C
Weight
0.41

What the paper says

Corporate Social Responsibility (CSR) has evolved into a strategic governance framework through which organisations address environmental sustainability, stakeholder expectations, and long-term institutional viability. In knowledge-intensive organisations such as universities, Green Artificial Intelligence (GAI) is increasingly recognised as an internal CSR agenda. GAI can reduce digital and energy-related environmental impacts while enhancing educational and operational performance. This study examines how higher education leaders, as organisational decision-makers, form intentions to adopt GAI within institutional CSR and digital sustainability strategies. It focuses specifically on leadership intentions to implement key GAI practices, including Smart Energy Management Systems, Energy-Efficient Machine Learning models, Virtual and Remote Laboratories, and AI-powered sustainability dashboards. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), the study investigates how performance expectancy, effort expectancy, social influence, and facilitating conditions shape behavioural intentions to adopt GAI. Survey data were collected from higher education leaders across Saudi universities, representing diverse national and cultural backgrounds within a shared institutional context. The findings indicate that facilitating conditions, performance expectancy, and social influence significantly influence adoption intentions, whereas effort expectancy does not. Gender and cultural context also moderate several adoption pathways. Generally, the results demonstrate that adopting GAI in universities constitutes a governance-level CSR decision rather than a purely technical choice. This study advances CSR and digital sustainability research by positioning GAI as a strategic tool for responsible digital transformation and by offering actionable insights for higher education leaders and policymakers.

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https://doi.org/https://doi.org/10.3390/admsci16020058

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@article{mostafa2026,
  title        = {{Unlocking GAI in Universities: Leadership-Driven Corporate Social Responsibility for Digital Sustainability}},
  author       = {Mostafa Aboulnour Salem & Zeyad Aly Khalil},
  journal      = {Administrative Sciences},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.3390/admsci16020058},
}

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Unlocking GAI in Universities: Leadership-Driven Corporate Social Responsibility for Digital Sustainability

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Evidence weight

0.41

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
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.