Universities and Green Tech: Leading the Transition to Sustainable Artificial Intelligence. Challenges for the Knowledge Society
References
- Adams, C. A., Jeanrenaud, S., Bessant, J., Denyer, D., & Overy, P. (2016). Sustainability-oriented innovation: A systematic review. International Journal of Management Reviews, 18(2), 180–205. https://doi.org/10.1111/ijmr.12068
- Alyoubi, B. A., & Yamin, M. A. Y. (2024). Investigating the role of diffusion of innovation theory, environmental pressure, and organisational capabilities towards adoption of digital technologies. International Journal of Business Information Systems, 46(1), 32–55. https://doi.org/10.1504/IJBIS.2024.138555
- Bolón-Canedo, V., Morán-Fernández, L., Cancela, B., & Alonso-Betanzos, A. (2024). A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing, 599, 128096. https://doi.org/10.1016/j.neucom.2024.128096
- Bolón-Canedo, V., Porto-Díaz, I., & Alonso-Betanzos, A. (2024). Interdisciplinary approaches to sustainable artificial intelligence: A comprehensive review. Journal of Sustainable Computing, 15(3), 123-145. https://doi.org/10.1016/j.suscom.2023.100567
- Brynjolfsson, E., & McAfee, A. (2017). The second Machine Age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
- Bucur, L.-M. (2024). Eco-innovation and higher education in the European Union: Exploring the green interconnection. Studies in Business and Economics, 19(1), 46–60. https://doi.org/10.2478/sbe-2024-0003
- Bucur, M. (2024). The role of universities in promoting sustainable innovation: An empirical analysis. International Journal of Sustainability in Higher Education, 25(1), 45-62. https://doi.org/10.1108/IJSHE-03-2023-0102
- Cortese, A. D. (2003). The critical role of higher education in creating a sustainable future. Planning for Higher Education, 31(3), 15-22. https://doi.org/10.1002/tl.118
- Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 4171– 4186. https://doi.org/10.18653/v1/N19-1423
- Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From National Systems and “Mode 2” to a Triple Helix of university–industry–government relations. Research Policy, 29(2), 109-123. https://doi.org/10.1016/S0048-7333(99)00055-4
- Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
- Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: A multilevel perspective and a case-study. Research Policy, 31(8–9), 1257– 1274. https://doi.org/10.1016/S0048-7333(02)00062-8
- Guest, G., MacQueen, K. M., & Namey, E. E. (2012). Applied thematic analysis. SAGE Publications. https://doi.org/10.4135/9781483384436
- Inditex-UDC Chair. (2023). Cátedra Inditex-UDC en Inteligencia Artificial y Algoritmos Verdes. https://citic.udc.es
- Lannelongue, G., González-Benito, J., & González-Zapatero, C. (2021). How institutional pressures and dynamic capabilities influence the implementation of sustainable practices. Business Strategy and the Environment, 30(1), 101–119. https://doi.org/10.1002/bse.2617
- Lannelongue, L., Grealey, J., & Inouye, M. (2021). Green algorithms: Quantifying the carbon footprint of computation. Advanced Science, 8(12), 2100707. https://doi.org/10.1002/advs.202100707
- Leal Filho, W., Eustachio, J. H. P. P., Caldana, A. C. F., Will, M., Lange Salvia, A., Rampasso, I. S., Anholon, R., Platje, J., & Kovaleva, M. (2020). Sustainability leadership in higher education institutions: An overview of challenges. Sustainability, 12(9), 3761. https://doi.org/10.3390/su12093761
- Leal Filho, W., Shiel, C., & Paço, A. (2020). Integrating sustainability in higher education: An overview of professional development initiatives. Journal of Cleaner Production, 265, 121731. https://doi.org/10.1016/j.jclepro.2020.121731
- Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). SAGE Publications.
- Mouakket, S., & Aboelmaged, M. (2023). Factors influencing green information technology adoption: A multi-level perspective in emerging contexts. Information Development, 39(4), 526–541. https://doi.org/10.1177/02666669211048489
- Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI.
- Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
- Stilgoe, J., Owen, R., & Macnaghten, P. (2013). Developing a framework for responsible innovation. Research Policy, 42(9), 1568–1580. https://doi.org/10.1016/j.respol.2013.05.008
- Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and policy considerations for deep learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645–3650. https://doi.org/10.18653/v1/P19-1355
- Ucur, C. (2024). Higher education and eco-innovation in the EU: A synergistic approach. Sustainability Science, 19(3), 1125–1140. https://doi.org/10.1007/s11625-023-01234-5
- van den Berg, D., & Verster, B. (2023). Integrating education for sustainable development into a sustainable-smart transdisciplinary learning framework. Journal of Education for Sustainable Development, 17(2), 123–140. https://doi.org/10.1177/09734082231114567
- van den Berg, H., & Verster, A. (2023). University-industry collaborations for sustainable technology development: A systematic review. Technological Forecasting and Social Change, 187, 122234. https://doi.org/10.1016/j.techfore.2022.122234
- van den Berg, L., & Verster, T. (2023). Collaborative governance for sustainable AI: A framework for academia-industry partnerships. Journal of Cleaner Production, 402, 136782.
- Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. In I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, & R. Garnett (Eds.), Advances in neural information processing systems (Vol. 30, pp. 5998–6008). Curran Associates, Inc.
- Villegas-Ch, W., Palacios-Pacheco, X., & Luján-Mora, S. (2020). Green AI solutions in higher education institutions: A comprehensive review. Sustainability, 12(14), 5738. https://doi.org/10.3390/su12145738
- Zhang, Y., Li, X., Wang, J., & Patel, R. (2023). Green AI: Pathways for energy-efficient machine learning. Nature Communications, 14(1), 4567.
DOI: https://doi.org/10.2478/picbe-2025-0195 | Journal eISSN: 2558-9652
Language: English
Page range: 2516 - 2524
Published on: Jul 24, 2025
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2025 Francisco J. Rey, published by Bucharest University of Economic Studies
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