Environmental Awareness and Sustainable AI Adoption: A Cross-Cultural Analysis of Students' Perceptions

Sensibilisation à l'environnement et adoption durable de l'IA: une analyse interculturelle des perceptions des étudiants

Jean-Éric Pelet (), Basma Taieb, Yihan Wang, Ana Semedo, Said Aboubaker Ettis, Panagiota Papadopoulou, Kayo Iizuka, Jing Wang, Amber Chatelain, Álvaro Rocha, Chin-Ching Yin and Fawzi Dekhil
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Jean-Éric Pelet: IAE - IAE AMIENS
Basma Taieb: EMLV - École de management Léonard de Vinci
Yihan Wang: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Ana Semedo: Ilexpansions, France
Said Aboubaker Ettis: UJ - University of Jeddah [Arabie Saoudite]
Panagiota Papadopoulou: NKUA - National and Kapodistrian University of Athens
Kayo Iizuka: Senshu University
Jing Wang: Srinakharinwirot University
Amber Chatelain: Midway University
Álvaro Rocha: ISEG, Technical University of Lisbon
Chin-Ching Yin: Tapei Tech - National Taipei University of Technology
Fawzi Dekhil: UTM - Tunis El Manar University [University of Tunis El Manar] [Tunisia] = Université de Tunis El Manar [Tunisie] = جامعة تونس المنار (ar)

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Abstract: This study investigates the relationship between environmental awareness, cultural dimensions, and the acceptance of sustainable AI practices among university students. Drawing on survey data from approximately 1,126 students across eleven countries, we examine how students perceive the environmental costs of Generative AI (GenAI) and how national culture moderates the link between environmental awareness and willingness to adopt usage quotas. Results from logistic regression analyses reveal that concrete environmental awareness and prior sustainable behaviors are strong predictors of quota acceptance. However, cultural dimensions—specifically power distance, individualism, and long-term orientation—significantly moderate this relationship, weakening the effect of awareness in hierarchical, individualistic, and long-termoriented cultures. The findings highlight that a one-size-fits-all approach to promoting sustainable AI is ineffective; instead, strategies must be culturally adapted to align with deeply held societal values.

Keywords: Digital Sustainability; Responsible AI Use; Data Privacy; AI Data Governance; Information Security; Hofstede's Cultural Dimensions; Environmental Awareness; Generative AI; Cross-cultural study; Sustainable AI (search for similar items in EconPapers)
Date: 2025-11-11
Note: View the original document on HAL open archive server: https://hal.science/hal-05630335v1
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Published in World Congress of Education (WCE), BIT Group Global Ltd, Nov 2025, Osaka, Japan

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05630335

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