Artificial Intelligence, ESG Performance, and Value Creation

A Theoretical Model Based on Organizational Capabilities

Authors

  • Lincon Lopes Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) Author

    Keywords:

    Artificial intelligence, ESG performance, value creation, organizational capabilities, sustainability

    Abstract

    The adoption of artificial intelligence (AI) by organizations has frequently been treated as an end in itself, an indicator of technological modernization disconnected from its concrete effects on environmental, social and governance (ESG) performance and on sustainable value creation. This article proposes a theoretical model that connects these three dimensions from the perspective of organizational capabilities, arguing that AI only translates into superior ESG performance when mediated by specific capabilities for capturing, integrating, reconfiguring and governing the knowledge generated by algorithmic systems. The argument is developed through an integrative narrative review of the literature on dynamic capabilities, AI governance and ESG performance, and concludes with implications for managers, investors and corporate policy makers.

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    Author Biography

    • Lincon Lopes, Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)

      Lincon Lopes é professor do Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), Campus São Paulo–Pirituba, onde atua em dedicação exclusiva desde 2017 e coordena o Bacharelado em Engenharia de Produção. É administrador e mestre em Administração pela Universidade de São Paulo (USP), com doutorado em andamento em Estudos Marítimos pela Escola de Guerra Naval. Sua atuação acadêmica abrange finanças corporativas, gestão governamental e geopolítica, com pesquisas recentes voltadas a inteligência artificial, desempenho ESG e governança corporativa.

    References

    Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152.

    Eccles, R. G., Ioannou, I., & Serafeim, G. (2014). The impact of corporate sustainability on organizational processes and performance. Management Science, 60(11), 2835-2857.

    Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10-11), 1105-1121.

    Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). AI4People, An ethical framework for a good AI society. Minds and Machines, 28(4), 689-707.

    Freeman, R. E. (1984). Strategic management: A stakeholder approach. Pitman.

    Porter, M. E., & Kramer, M. R. (2006). Strategy and society. Harvard Business Review, 84(12), 78-92.

    Teece, D. J. (2007). Explicating dynamic capabilities. Strategic Management Journal, 28(13), 1319-1350.

    Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533.

    Torraco, R. J. (2016). Writing integrative literature reviews. Human Resource Development Review, 15(4), 404-428.

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    Published

    2024-12-06

    Issue

    Vol. 1 (2024)

    Section

    Articles

    License

    Creative Commons License

    This work is licensed under a Creative Commons Attribution 4.0 International License.

    Articles published by Noemica Journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Sharing and adapting the content is permitted for any purpose, provided appropriate credit is given to the authors and the original publication.

    How to Cite

    Artificial Intelligence, ESG Performance, and Value Creation: A Theoretical Model Based on Organizational Capabilities. (2024). Noemica Journal, 1(1). https://noemicajournal.org/noemica/article/view/8

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