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Artificial Intelligence for a Sustainable Finance: A Bibliometric Analysis

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 637))

Abstract

The ecological emergency implies a drastic change in our production and consumption patterns. Artificial intelligence (AI) is rapidly opening up a new frontier in business, corporate practice and government policy. Machine intelligence and robots with deep learning capabilities have had a profound impact on business, government and society. They are also influencing major trends in global sustainability. As the AI revolution transforms our world, it could herald a utopian future where humanity coexists harmoniously with machines. By examining existing literature, bibliometric analysis is an excellent way for undertaking a quantitative study of academic output to address research trends in a certain field of research. This paper seeks to investigate the role of emerging artificial intelligence techniques in supporting sustainable finance, to assess their progress, and to explain the research trend over the last decade using bibliometric analysis. The findings show that, despite a significant rise in the number of publications since 2017, author collaboration is minimal, particularly at the international level. Furthermore, the findings provide an overview of the topic’s interdisciplinary study. By presenting new insights and crucial concepts, the authors hoped to contribute to the theoretical development of artificial intelligence’s use in sustainable development at the financial sector level. Artificial intelligence approaches are being widely deployed as viable replacements to traditional methods, with promising outcomes. This article has theoretical as well as practical consequences, as it gives researchers an overview of the theoretical evolution and intellectual framework for undertaking future study in this field.

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Author information

Authors and Affiliations

  1. Fsjes, Ibn Zohr University, Agadir, Morocco

    Rania Elouidani & Ahmed Outouzzalt

Authors
  1. Rania Elouidani
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  2. Ahmed Outouzzalt
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Corresponding author

Correspondence to Rania Elouidani .

Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  2. Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Elouidani, R., Outouzzalt, A. (2023). Artificial Intelligence for a Sustainable Finance: A Bibliometric Analysis. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. Lecture Notes in Networks and Systems, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-031-26384-2_46

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