IDEAS home Printed from https://ideas.repec.org/r/eee/ininma/v53y2020ics0268401220300967.html
   My bibliography  Save this item

Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Nassiri-Mofakham, Faria & Huhns, Michael N., 2023. "Role of culture in water resources management via sustainable social automated negotiation," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
  2. Kumar, Sourabh & Kumar Barua, Mukesh, 2022. "Modeling and investigating the interaction among risk factors of the sustainable petroleum supply chain," Resources Policy, Elsevier, vol. 79(C).
  3. Abou-Foul, Mohamad & Ruiz-Alba, Jose L. & López-Tenorio, Pablo J., 2023. "The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 157(C).
  4. Stephanie Winkelmann & Rajae Guennoun & Frederik Möller & Thorsten Schoormann & Hendrik Valk, 2024. "Back to a resilient future: Digital technologies for a sustainable supply chain," Information Systems and e-Business Management, Springer, vol. 22(2), pages 315-350, June.
  5. Chițu Florentina & Mecu Andra-Nicoleta & Marin Georgiana-Ionela, 2024. "Exploring the Climate Change-AI Nexus: A Bibliometric and Scientometric Study," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 1658-1670.
  6. Madanaguli, Arun & Sjödin, David & Parida, Vinit & Mikalef, Patrick, 2024. "Artificial intelligence capabilities for circular business models: Research synthesis and future agenda," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  7. Sjödin, David & Parida, Vinit & Kohtamäki, Marko, 2023. "Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  8. Germán López Pérez & Isabel María García Sánchez & José Luis Zafra Gómez, 2024. "A systematic literature review and bibliometric analysis of eco‐innovation on financial performance: Identifying barriers and drivers," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1321-1340, February.
  9. Dmitry A. Ruban, 2022. "Analytical Review of Conjugation of the Ethical Bases of Artificial Intelligence Implementation and Ecologization in Corporate Governance," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 21(2), pages 390-418.
  10. Purvis, Ben & Genovese, Andrea, 2023. "Better or different? A reflection on the suitability of indicator methods for a just transition to a circular economy," Ecological Economics, Elsevier, vol. 212(C).
  11. Xu, Yingying & Shao, Xuefeng & Tanasescu, Cristina, 2024. "How are artificial intelligence, carbon market, and energy sector connected? A systematic analysis of time-frequency spillovers," Energy Economics, Elsevier, vol. 132(C).
  12. Shang, Yunfeng & Yang, Qin & Pu, Yuanjie & Taghizadeh-Hesary, Farhad, 2024. "Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality," Resources Policy, Elsevier, vol. 88(C).
  13. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  14. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
  15. Abdelhamid Zaidi & Samuel-Soma M. Ajibade & Majd Musa & Festus Victor Bekun, 2023. "New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 287-299, July.
  16. Mohammad I. Merhi, 2023. "An Assessment of the Barriers Impacting Responsible Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(3), pages 1147-1160, June.
  17. Manjul Gupta & Carlos M. Parra & Denis Dennehy, 2022. "Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter?," Information Systems Frontiers, Springer, vol. 24(5), pages 1465-1481, October.
  18. Zhengang Zhang & Peilun Li & Liangxiong Huang & Yichen Kang, 2024. "The impact of artificial intelligence on green transformation of manufacturing enterprises: evidence from China," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-36, August.
  19. Wolfgang Ketter & Karsten Schroer & Konstantina Valogianni, 2023. "Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action," Information Systems Research, INFORMS, vol. 34(3), pages 1045-1065, September.
  20. Abbas, Shahbaz & Rao, Abdur Rehman Bin Nasir & Khattak, Farrukh & Ahmad, Yasir, 2024. "Revolutionising sustainability using a new triplet: A system dynamic model," Ecological Modelling, Elsevier, vol. 492(C).
  21. Sule Birim & Ipek Kazancoglu & Sachin Kumar Mangla & Aysun Kahraman & Yigit Kazancoglu, 2024. "The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods," Annals of Operations Research, Springer, vol. 339(1), pages 131-161, August.
  22. Issa Helmi & Lakkis Hussein & Dakroub Roy & Jaber Jad, 2023. "Examining User Engagement and Experience in Agritech," International Journal of Contemporary Management, Sciendo, vol. 59(2), pages 17-32, June.
  23. Dashkevych, Oleg & Portnov, Boris A., 2024. "How can generative AI help in different parts of research? An experiment study on smart cities’ definitions and characteristics," Technology in Society, Elsevier, vol. 77(C).
  24. Noura Metawa & Rhada Boujlil & Saad Alsunbul, 2023. "Fraud-Free Green Finance: Using Deep Learning to Preserve the Integrity of Financial Statements for Enhanced Capital Market Sustainability," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 610-617, November.
  25. Tae Wan Kim & Fabrizio Maimone & Katherina Pattit & Alejo José Sison & Benito Teehankee, 2021. "Master and Slave: the Dialectic of Human-Artificial Intelligence Engagement," Humanistic Management Journal, Springer, vol. 6(3), pages 355-371, December.
  26. Gupta, Brij B. & Gaurav, Akshat & Panigrahi, Prabin Kumar & Arya, Varsha, 2023. "Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  27. Tekic, Zeljko & Tekic, Anja, 2024. "Complex patterns of ICTs' effect on sustainable development at the national level: The triple bottom line perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  28. Ali Nawaz Khan & Khalid Mehmood & Ahsan Ali, 2024. "Maximizing CSR impact: Leveraging artificial intelligence and process optimization for sustainability performance management," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4849-4861, September.
  29. Kim, Myung Ja & Hall, C. Michael & Kwon, Ohbyung & Sohn, Kwonsang, 2024. "Space tourism: Value-attitude-behavior theory, artificial intelligence, and sustainability," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
  30. Franco Donati & Sébastien M. R. Dente & Chen Li & Xaysackda Vilaysouk & Andreas Froemelt & Rohit Nishant & Gang Liu & Arnold Tukker & Seiji Hashimoto, 2022. "The future of artificial intelligence in the context of industrial ecology," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1175-1181, August.
  31. Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.