Literature Review on the Current Use of Artificial Intelligence (AI) in Corporate Management for Sustainable Development
DOI:
https://doi.org/10.12795/Ambitos.2025.i67.02Keywords:
artificial intelligence, corporate management, sustainable development, sustainabilityAbstract
The global environmental crisis has generated increasing concern for sustainability and efficient resource management. In this context, Artificial Intelligence (AI) emerges as a potentially transformative tool. Therefore, this study aims to analyze the scientific contributions of AI in corporate management, evaluating its capacity to contribute to sustainable development. The initial hypothesis posits that advances in AI can automate and optimize processes, promoting efficient resource use and the adoption of socially and environmentally responsible strategies in the short term. To conduct this research, an exhaustive bibliographic review of the main scientific databases was carried out, using keywords related to “Artificial Intelligence in sustainable companies” over the past decade. This strategy allowed for the identification and analysis of the most relevant and current publications on the topic. The literature review reveals a growing body of knowledge supporting the proposed hypothesis. The analyzed studies show that AI can play a crucial role in optimizing corporate processes, reducing resource consumption, and minimizing environmental impact. Additionally, AI’s capacity to facilitate informed decision-making and the implementation of sustainable practices is highlighted. The findings of this bibliographic review suggest that integrating AI into corporate management can be an effective strategy for advancing sustainable development. It is recommended to continue researching and developing AI applications that contribute to corporate sustainability.
Downloads
References
Afzal, M.N., Shohan, A. H., Siddiqui, S., & Tasnim, N. (2023). Application of AI on Human Resource Management: A Review. Journal of Human Resource Management – HR Advances and Developments, 26(1), 1–11. https://doi.org/10.46287/FHEV4889
Atanasov, A., Chipriyanova, G., & Krasteva-Hristova, R. (2023). Integration of Digital Technologies in Corporate Social Responsibility (CSR) Activities: A Systematic Literature Review and Bibliometric Analysis. Journal of Risk and Financial Management, 16(8), 1-14. https://doi.org/10.3390/jrfm16080373
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2018). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research, 57(7), 2179-2202. https://doi.org/10.1080/00207543.2018.1530476
Budhwar, A., Malik, A., Thedushika De Silva, M.T., & Thevisuthan, P. (2022). Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda. The International Journal of Human Resource Management, 33(6), pp. 1065-1097. https://doi.org/10.1080/09585192.2022.2035161
Carroll, A. (2015). Corporate social responsibility: The centerpiece of competing and complementary frameworks. Organizational Dynamics, 44(2), 87-96. https://doi.org/10.1016/J.ORGDYN.2015.02.002
Chaudhuri, R., Chatterjee, S., Vrontis, D., & Chaudhuri, S. (2022). Innovation in SMEs, AI Dynamism, and Sustainability: The Current Situation and Way Forward. Sustainability, 14(19), 12760. https://doi.org/10.3390/su141912760
Cinnirella, F., & Streb, J. (2017). The role of human capital and innovation in economic development: evidence from post-Malthusian Prussia. Journal of Economic Growth, (22), 193-227. https://doi.org/10.1007/S10887-017-9141-3
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, (121), pp. 283-314. https://doi.org/10.1016/j.jbusres.2020.08.019
Dolan, C., & Barrero, D. (2021). Transparency in ESG and Circular Economy: Capturing Opportunities Through Data. Business Expert Press.
Friedman, M. (13 de diciembre de1970). The Social Reponsibility of Business is to increase its profits. New York Times. https://www.nytimes.com/1970/09/13/archives/a-friedman-doctrine-the-social-responsibility-of-business-is-to.html
Gomes, P., Verçosa, L., Melo, F., Silva, V., Bastos Filho, C., & Bezerra, B. (2022). Artificial Intelligence-Based Methods for Business Processes: A Systematic Literature Review. Applied Sciences, 12(2), 2314. https://doi.org/10.3390/app12052314
Jatobá, M.N., Ferreira, J.J., Odete Fernandes. P., & Teixeira, J.P. (2023). Intelligent human resources for the adoption of artificial intelligence: a systematic literature review. Journal of Organizational Change Management, 36(7), pp. 1099-1124. https://doi.org/10.1108/JOCM-03-2022-0075
Lerner, M., Fujikura, R., Nakayama, M., & Fujikura, M. (2016). The Influence of Limits to Growth and Global 2000 on U.S. Environmental Governance. International journal of social science studies, 4(8), 52-63. https://doi.org/10.11114/IJSSS.V4I8.1674
Marens, R. (2013). What comes around: the early 20th century American roots of legitimating corporate social responsibility. Organization, 20(3), 454 - 476. https://doi.org/10.1177/1350508413478309
Mazumdar, D. L. (1965). The Modern Corporation and the Rule of Law. University of Pennsylvania Law Review, 114(2), 187–208. https://doi.org/10.2307/3310892
Meadows, D. H., Meadows, D. L., Randers, J., & Behrens III, W. W. (1972). The Limits to Growth; A Report for the Club of Rome’s Project on the Predicament of Mankind. Universe Books.
Moraes, C.H.V., Scolimoski, J., Lambert Torres, G., Santini, M., Alves Dias, A.L., Guerra, F.A., Pedretti, A., & Pires Ramos, M. (2022). Robotic Process Automation and Machine Learning: a Systematic Review. Engineering, Technology and Techniques, (65), e22220096. https://doi.org/10.1590/1678-4324-2022220096
Nishant, R., Kennedy, M. & Cobertt, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Management, (53), 102104. https://doi.org/10.1016/j.ijinfomgt.2020.102104
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., & Mulrow, C. D. (2021). The PRISMA 2020 statemement: an updated guideline for reporting systematic reviews. The bmj, 372(71). https://doi.org/10.1136/bmj.n71
Pournader, M., Ghaderi, H., Hassanzadegan, A., & Fahimnia, B. (2021). Artificial intelligence applications in supply chain management. International Journal of Production Economics, (214), 108250. https://doi.org/10.1016/j.ijpe.2021.108250
Redko, K., & Vovchenko, O. (2023). The main aspects of the transition period between the industrial revolutions (on the example of electricity). Problems of systemic approach in the economy 2(91),14-27. https://doi.org/10.32782/2520-2200/2023-2-2
Silos, J., Ruiz, P., Canales, R., Herrero, A., & Granda, G. (2018). Informe Forética 2018 sobre la evolución de la RSE y sostenibilidad. La recompensa del optimista. https://acortar.link/Xqvk8R
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, (122), 502-517. https://doi.org/10.1016/j.jbusres.2020.09.009
Uzunkaya, S. (2020). From the First Industrial Revolution to Industry 4.0: Changes in Innovative Work Behaviours and Effects on the Global Economies. In H. Dincer & S. Yüksel (Eds.), Strategic Outlook for Innovative Work Behaviours. Contributions to Management Science (pp. 207-219). Springer, Cham. https://doi.org/10.1007/978-3-030-50131-0_12
Watersmann, L., Kimel, S., Stuhlsatz, J., Sauer, A., & Miehe, R. (2021). Artificial Intelligence Applications for Increasing Resource Efficiency in Manufacturing Companies—A Comprehensive Review. Sustainability, 13(12), 6689. https://doi.org/10.3390/su13126689
Wiens, J. (1996). Oil, seabirds, and science: the effects of the exxon valdez oil spill. BioScience, 46(8), 587-597. https://doi.org/10.2307/1312988
Zangari, G., & Fukunaka, Y. (2014). Electrochemical Processing and Materials Tailoring for Advanced Energy Technology. Journal of The Electrochemical Society, 161(7), Y5-Y7. https://doi.org/10.1149/2.020407JES
Zhulina, A. (2018). Performing Philanthropy from Andrew Carnegie to Bill Gates. Performance Research, 23(6), 50–57. https://doi.org/10.1080/13528165.2018.1533762
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Jesús Martín López, Raquel Martín López

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Ámbitos. Revista Internacional de Comunicación is an open access journal, which means that all content is freely available at no charge to the user or their institution. Users may read, download, copy, distribute, distribute, print, search or link to the full text of articles, or use them for any other lawful purpose, without seeking prior permission from the publisher or author. This definition of open access is in accordance with the Budapest Open Access Initiative (BOAI).

Unless otherwise noted, all content in the electronic edition is distributed under a "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License". You can consult the informative version and legal text of the licence here. This should be expressly stated in this way where necessary.
In case of acceptance of the manuscript, the authors cede the rights of the work for its publication to Ámbitos. Revista Internacional de Comunicación under the Attribution-NonCommercial-ShareAlike 4.0 International license contract (CC BY-NC-SA 4.0). The authors retain copyright and third parties are authorised to copy, distribute and make use of the work, provided they comply with the terms and conditions set out in the licence
- Cite the authorship and the original source of publication (journal, publisher and URL of the work).
- Do not use them for commercial purposes.
- If you remix, transform or create from the material, you must release your contributions under the same license as the original.
More information can be found at https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es















