EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 608 (2025) E3S Web Conf., 608 (2025) 05019 References
Open Access
Issue
E3S Web Conf.
Volume 608, 2025
EU-CONEXUS EENVIRO Research Conference - The 9th Conference of the Sustainable Solutions for Energy and Environment (EENVIRO 2024)
Article Number 05019
Number of page(s) 14
Section Sustainable Development
DOI https://doi.org/10.1051/e3sconf/202560805019
Published online 22 January 2025
  1. R. Nishant, M. Kennedy, J. Corbett, Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. Int. J. Inf. Man. 53, 102104 (2020). https://doi.org/10.1016/j.ijinfomgt.2020.102104 [CrossRef] [Google Scholar]
  2. X. Du‐Harpur, F.M. Watt, M.N. Luscombe, D.M. Lynch, What is AI? Applications of artificial intelligence to dermatology. Br. J. Derm. 183, 3 (2020). https://doi.org/10.1111/bjd.18880 [Google Scholar]
  3. R.S. Lee, Artificial intelligence in daily life, (Springer, Singapore, 2020). https://doi.org/10.1007/978-981-15-7695-9 [Google Scholar]
  4. S. Kumar, R. Tomar, The role of artificial intelligence in space exploration, in Proceedings of the 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India, February 15-17, February 15-17 (2018). https://doi.org/10.1109/IC3IoT.2018.8668161 [Google Scholar]
  5. Y. Duan, J.S. Edwards, Y.K. Dwivedi, Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. Int. J. Inf. Man. 48 (2019). https://doi.org/10.1016/j.ijinfomgt.2019.01.021 [Google Scholar]
  6. S. Aziz, M. Dowling, Machine learning and AI for risk management. In T. Lynn, G. John, M.P. Rosati, M. Cummis (Eds.), Disrupting finance: FinTech and Strategy in the 21st century, (Springer International Publishing, Cham, Switzerland, 2019). https://doi.org/10.1007/978-3-030-02330-0 [Google Scholar]
  7. A. Annor Antwi, M.A.A. Al-Dherasi, Application of artificial intelligence in forecasting: A systematic review. SSRN El. J. 3483313 (2019). http://dx.doi.org/10.2139/ssrn.3483313 [Google Scholar]
  8. M. Pournader, H. Ghaderi, A. Hassanzadegan, B. Fahimnia, Artificial intelligence applications in supply chain management. Int. J. Pr. Eco. 241, 108250 (2021). https://doi.org/10.1016/j.ijpe.2021.108250 [CrossRef] [Google Scholar]
  9. J. Li, S. Ma, Y. Qu, J. Wang, The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China. Red. Pol. 82, 103507 (2023). https://doi.org/10.1016/j.resourpol.2023.103507 [Google Scholar]
  10. P. Dauvergne, Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs. Rev. Int. Pol. Econ. 29, 3 (2022). https://doi.org/10.1080/09692290.2020.1814381 [Google Scholar]
  11. S.R.L. Fernando, Artificial intelligence and disaster management in Sri Lanka: Problems and prospects. In T.V. Vijay Kumar, K. Sud (Eds.), AI and Robotics in Disaster Studies, (Palgrave Macmillan, Singapore, 2020). https://doi.org/10.1007/978-981-15-4291-6_11 [Google Scholar]
  12. L. Vicsek, Artificial intelligence and the future of work–lessons from the sociology of expectations. In. J. Soc. Soc. Pol. 41, 7/8 (2021). https://doi.org/10.1108/IJSSP-05-2020-0174 [Google Scholar]
  13. H. Min, Artificial intelligence in supply chain management: theory and applications. Int. J. Log. Res. App. 13, 1 (2010). https://doi.org/10.1080/13675560902736537 [CrossRef] [Google Scholar]
  14. N. Haefner, J. Wincent, V. Parida, O. Gassmann, Artificial intelligence and innovation management: A review, framework, and research agenda. Tech. For. Soc. Ch. 162, 120392 (2021). https://doi.org/10.1016/j.techfore.2020.120392 [Google Scholar]
  15. S. Yeke, Digital intelligence as a partner of emotional intelligence in business administration. As. Pc. Mang. Rev. 28, 4 (2023). https://doi.org/10.1016/j.apmrv.2023.01.001 [Google Scholar]
  16. S. Mao, B. Wang, Y. Tang, F. Qian, Opportunities and challenges of artificial intelligence for green manufacturing in the process industry. Engineering, 5, 6 (2019). https://doi.org/10.1016/j.eng.2019.08.013 [Google Scholar]
  17. H. Ayoubi, Y. Tabaa, Artificial intelligence in green management and the rise of digital lean for sustainable efficiency. In Proceedings at the International Conference on Innovation in Modern Applied Science, Environment, Energy and Earth Studies (ICIES’11 2023), Rabat, Morocco, June 2-3, June 2-3 (2023). https://doi.org/10.1051/e3sconf/202341201053 [Google Scholar]
  18. A. Rashid, N. Baloch, R. Rasheed, A.H. Ngah, Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country. J. Sc. Tech. Pol. Man. (to be published). https://doi.org/10.1108/JSTPM-04-2023-0050 [Google Scholar]
  19. K. Yin, F. Cai, C. Huang, How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis. Env. Sc. Pol. Res. 30, 10 (2023). https://doi.org/10.1007/s11356-022-24088-0 [Google Scholar]
  20. F. Matos, V. Vairinhos, I. Salavisa, L. Edvinsson, M. Massaro, Knowledge, people, and digital transformation, (Springer International Publishing, Cham, 2020). https://doi.org/10.1007/978-3-030-40390-4 [Google Scholar]
  21. D. Acemoglu, P. Restrepo, Artificial intelligence, automation, and work. In A. Ajay, G. Johsua, G. Avi (Eds.), The Economics of Artificial Intelligence: An Agenda, (University of Chicago Press, Chicago, 2018). https://doi.org/10.7208/chicago/9780226613475.001.0001 [Google Scholar]
  22. R. Vinuesa, H. Azizpour, I. Leite, M. Balaam, V. Dignum, S. Domisch, … F. Fuso Nerini, The role of artificial intelligence in achieving the Sustainable Development Goals. Nat. Com. 11, 1 (2020). https://doi.org/10.1038/s41467-019-14108-y [CrossRef] [Google Scholar]
  23. L. Lin, L. Gao, A.M. Kedzierski, Y. Hwang, Energy and A.I. En. A.I. 100002 (2020). https://doi.org/10.1016/j.egyai.2020.100002 [Google Scholar]
  24. I.S.C. Taufik, R. Rismayanti, R.D. Sopian, D.A.A. Saputra, The influence of the development of Artificial Intelligence technology in the industrial field. Jur. In. Sos. Tek. 4, 8 (2023). https://doi.org/10.59141/jist.v4i8.657 [Google Scholar]
  25. L.A. Ligozat, J. Lefevre, A. Bugeau, J. Combaz, Unraveling the hidden environmental impacts of AI solutions for environment life cycle assessment of AI solutions. Sustainability, 14, 9, 5172 (2022). https://doi.org/10.3390/su14095172 [CrossRef] [Google Scholar]
  26. S. Du, C. Xie, Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities. J. Bus. Res. 129 (2021). https://doi.org/10.1016/j.jbusres.2020.08.024 [Google Scholar]
  27. A. Varma, C. Dawkins, K. Chaudhuri, Artificial intelligence and people management: A critical assessment through the ethical lens. Hum. Res. Man. Rev., 33, 1, 100923 (2023). https://doi.org/10.1016/j.hrmr.2022.100923 [Google Scholar]
  28. I. Munoko, L.H. Brown-Liburd, M. Vasarhelyi, The ethical implications of using artificial intelligence in auditing. J. Bus. Eth. 167, 2 (2020). https://doi.org/10.1007/s10551-019-04407-1 [Google Scholar]
  29. K.M. McBurney, L.P. Novak, What is bibliometrics and why should you care? In Proceedings at the IEEE international professional communication conference, Portland, USA, September 20, September 20 (2002). https://doi.org/10.1109/IPCC.2002.1049094 [Google Scholar]
  30. N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, M.W. Lim, How to conduct a bibliometric analysis: An overview and guidelines. J. Bus. Res. 133 (2021). https://doi.org/10.1016/j.jbusres.2021.04.070 [Google Scholar]
  31. O. Ellegaard, A.J. Wallin, The bibliometric analysis of scholarly production: How great is the impact?. Scientometrics, 105, 3 (2015). https://doi.org/10.1007/s11192-015-1645-z [Google Scholar]
  32. J.N. Van Eck, L. Waltman, VOSviewer manual (Leiden University, Leiden, 2020). https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.15.pdf [Google Scholar]
  33. F. Cugurullo, A.R. Acheampong, M. Gueriau, I. Dusparic, The transition to autonomous cars, the redesign of cities and the future of urban sustainability. Ur. Geo. 42, 6 (2021). https://doi.org/10.1080/02723638.2020.1746096 [Google Scholar]
  34. F. Cugurullo, Urban artificial intelligence: From automation to autonomy in the smart city. Fron. Sus. Cit. 2, 38 (2020). https://doi.org/10.3389/frsc.2020.00038 [CrossRef] [Google Scholar]
  35. M. Klumpp, H. Zijm, Logistics innovation and social sustainability: How to prevent an artificial divide in human–computer interaction. J. Bus. Log. 40, 3 (2019). https://doi.org/10.1111/jbl.12198 [Google Scholar]
  36. M. Klumpp, Automation and artificial intelligence in business logistics systems: Human reactions and collaboration requirements. In. J. Log. Res. App. 21, 3 (2018). https://doi.org/10.1080/13675567.2017.1384451 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.