Literature Review on the Current Use of Artificial Intelligence (AI) in Corporate Management for Sustainable Development

Authors

DOI:

https://doi.org/10.12795/Ambitos.2025.i67.02

Keywords:

artificial intelligence, corporate management, sustainable development, sustainability

Abstract

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.

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Author Biographies

Raquel Martín López, European University of Valencia

Raquel Martín López es Doctora Internacional Cum Laude en Comunicación, profesora de la Facultad de Ciencias Sociales y directora de la Clínica de Sostenibilidad en la Universidad Europea de Valencia. Consultora en comunicación de moda y sostenibilidad. En su experiencia laboral cuenta con años de experiencia en diferentes empresas valencianas de marketing digital con mercados internacionales y ha sido emprendedora en el sector de la joyería con la creación de su propia marca.

Jesús Martín López, European University of Valencia

Jesús Martín López es Graduado en Dirección de Empresas, Máster Universitario en Marketing, y posee diplomas en Dirección y Motivación de Equipos, Liderazgo en Valores, Mediador Seguros Nivel Dos, Responsabilidad Civil y Seguro, y especialista en Sostenibilidad Empresarial. Cuenta con más de 15 años de experiencia en la gestión de equipos y estrategia empresarial en empresas nacionales españolas. Sus principales áreas de investigación incluyen el marketing sostenible, marketing estratégico y la aplicación de la Inteligencia Artificial en el entorno empresarial.

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

2025-04-15

How to Cite

Martín López, R., & Martín López, J. . (2025). Literature Review on the Current Use of Artificial Intelligence (AI) in Corporate Management for Sustainable Development. Ámbitos. Revista Internacional De Comunicación, (67), 33–47. https://doi.org/10.12795/Ambitos.2025.i67.02

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Section

MONOGRAPH