AI-driven Strategies for Sustainable Business Innovation
Keywords:
artificial intelligence, sustainable innovation, business models, digital transformation, corporate sustainability, technological strategies, shared value Empresarial
Abstract
Artificial Intelligence (AI) is emerging as a key driver of business innovation, especially where sustainability becomes a strategic imperative. This article explores how AI-driven strategies can transform traditional business models toward more sustainable, inclusive, and efficient approaches. A mixed-method approach is adopted, combining a systematic literature review with a comparative analysis of global business cases. The results reveal that companies integrating AI into their processes not only achieve operational efficiencies but also develop capabilities to address environmental and social goals. An integrative model is proposed to align AI with sustainability principles, enabling more intelligent, resilient, and ethical management. This research provides a conceptual basis for designing technological strategies that align economic growth with sustainable development.Downloads
Download data is not yet available.
References
Antikainen, M., Uusitalo, T., & Kivikytö-Reponen, P. (2023). Artificial intelligence enabling circular business model innovation in industrial digital servitization. Technological Forecasting and Social Change, 189, 122386. https://doi.org/10.1016/j.techfore.2023.122386
Bai, C., Dallasega, P., Orzes, G., & Sarkis, J. (2021). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Economics, 229, 107776. https://doi.org/10.1016/j.ijpe.2020.107776
Floridi, L., Cowls, J., Beltrametti, M., Chiarello, F., et al. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Guszcza, J., Mahoney, S., Small, M., & Kose, S. (2020). Human-centered AI: The new frontier. Deloitte Insights. https://www2.deloitte.com/us/en/insights/focus/cognitive-technologies/human-centered-ai.html
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y
Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924. https://doi.org/10.1108/BPMJ-10-2019-0412
Zhang, Y., Yu, L., & Shen, Y. (2022). Smart transformation strategies and sustainability performance: The role of AI and digital capabilities. Journal of Cleaner Production, 370, 133364. https://doi.org/10.1016/j.jclepro.2022.133364
Bai, C., Dallasega, P., Orzes, G., & Sarkis, J. (2021). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Economics, 229, 107776. https://doi.org/10.1016/j.ijpe.2020.107776
Floridi, L., Cowls, J., Beltrametti, M., Chiarello, F., et al. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Guszcza, J., Mahoney, S., Small, M., & Kose, S. (2020). Human-centered AI: The new frontier. Deloitte Insights. https://www2.deloitte.com/us/en/insights/focus/cognitive-technologies/human-centered-ai.html
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y
Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924. https://doi.org/10.1108/BPMJ-10-2019-0412
Zhang, Y., Yu, L., & Shen, Y. (2022). Smart transformation strategies and sustainability performance: The role of AI and digital capabilities. Journal of Cleaner Production, 370, 133364. https://doi.org/10.1016/j.jclepro.2022.133364
Published
2024-07-19
How to Cite
Gomez Puentes, E. (2024). AI-driven Strategies for Sustainable Business Innovation. IJMSOR: International Journal of Management Science & Operation Research, 9(1), 5-16. Retrieved from https://ijmsoridi.com/index.php/ijmsor/article/view/143
Section
PAPERS
Published papers are the exclusive responsibility of their authors and do not necessary reflect the opinions of the editorial committee.
IJMSOR respects the moral rights of its authors, whom must cede the editorial committee the patrimonial rights of the published material. In turn, the authors inform that the current work is unpublished and has not been previously published.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
