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Artificial Intelligence in the Water–Energy–Food Model: A Holistic Approach towards Sustainable Development Goals

Author

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  • Gabriella D’Amore

    (Department of Law, University of Naples “Parthenope”, Via G. Parisi, 13, 80132 Naples, Italy)

  • Assunta Di Vaio

    (Department of Law, University of Naples “Parthenope”, Via G. Parisi, 13, 80132 Naples, Italy)

  • Daniel Balsalobre-Lorente

    (Department of Political Economy and Public Finance, Economics and Business Statistics and Economic Policy, University of Castilla-La Mancha, C/Altagracia, 50, 13071 Ciudad Real, Spain
    Department of Applied Economics, University of Alicante, Carretera San Vicente del Raspeig s/n, 03690 San Vicente del Raspeig, Spain)

  • Flavio Boccia

    (Department of Economic and Legal Studies, University of Naples “Parthenope”, Via G. Parisi, 13, 80132 Naples, Italy)

Abstract

This study aims to analyze the role of artificial intelligence (AI) in the Water–Energy–Food (WEF) nexus under the lens of institutional, stakeholder, and innovation theories. Specifically, this study focuses on AI as the technology adopted by companies to promote Sustainable Development Goals (SDGs). A structured literature review has been conducted on 94 articles published from 1990 to 2021 in ISI Web of Science, Scopus, and Google Scholar. This study develops an in-depth review of the literature on the main articles arguing about these issues. The findings highlight the increasing relevance of AI in the water, energy, and food industries individually considered, but the study of AI as a connector between water, energy, and food to achieve SDGs is still under investigation. Research on AI for WEF nexus management has adopted mostly a technical perspective, neglecting the relevance of management tools and the business model concept. Most of the articles did not adopt a specific theoretical lens, but scholars recognize the need to adopt a multi-stakeholder approach and the important role played by AI and other digital technologies to address the WEF nexus challenge. This study proposes an integrated approach for managing the nexus through AI technologies to meet sustainable and responsible business models. The gap between research and policy making could be filled by combining scientific data and policy needs with inclusive tools that are technically viable for sustainable resource utilization.

Suggested Citation

  • Gabriella D’Amore & Assunta Di Vaio & Daniel Balsalobre-Lorente & Flavio Boccia, 2022. "Artificial Intelligence in the Water–Energy–Food Model: A Holistic Approach towards Sustainable Development Goals," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:867-:d:723460
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    References listed on IDEAS

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    1. Di Vaio, Assunta & Trujillo, Lourdes & D'Amore, Gabriella & Palladino, Rosa, 2021. "Water governance models for meeting sustainable development Goals:A structured literature review," Utilities Policy, Elsevier, vol. 72(C).
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    Cited by:

    1. Idiano D’Adamo & Assunta Di Vaio & Alessandro Formiconi & Antonio Soldano, 2022. "European IoT Use in Homes: Opportunity or Threat to Households?," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    2. Aldieri, Luigi & Bruno, Bruna & Lorente, Daniel Balsalobre & Paolo Vinci, Concetto, 2022. "Environmental innovation, climate change and knowledge diffusion process: How can spillovers play a role in the goal of sustainable economic performance?," Resources Policy, Elsevier, vol. 79(C).
    3. Amel Alnaqbi & Muataz Al Hazza, 2023. "Utilizing Industry 4.0 to Overcome the Main Challenges Facing UAE to Achieve the (SDG6.b) Goal of the United Nation Sustainable Development," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 98-107, September.
    4. Anna M. Hansson & Eja Pedersen & Niklas P. E. Karlsson & Stefan E. B. Weisner, 2023. "Barriers and drivers for sustainable business model innovation based on a radical farmland change scenario," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8083-8106, August.

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