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Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals

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  • Ignat Kulkov
  • Julia Kulkova
  • Rene Rohrbeck
  • Loick Menvielle
  • Valtteri Kaartemo
  • Hannu Makkonen

Abstract

This study presents a comprehensive literature review using a systematic approach to explore the role of artificial intelligence (AI) in promoting sustainable development in line with the United Nations Sustainable Development Goals (SDGs). The systematic review approach was applied to collect and analyze topics, and the literature search was conducted in two stages, encompassing 57 articles that met the research requirements. Our analysis reveals that AI's contribution to sustainability is concentrated within three key areas: organizational, technical, and processing aspects. The organizational aspect focuses on the integration of AI in companies and industries, addressing barriers to implementation and the relationship between companies, partners, and customers. The technical aspect highlights the development of AI algorithms that can address global challenges and contribute to the growth of stability and development in society. The processing aspect emphasizes the internal transformation of companies, their business models, and strategies in response to AI integration. Our proposed conceptual model outlines the essential elements organizations must consider when incorporating AI into their sustainability efforts, such as strategic alignment, infrastructure development, change management, and continuous improvement. By addressing these critical aspects, organizations can harness the potential of AI to drive positive social, environmental, and economic outcomes, ultimately contributing to the achievement of the SDGs. The model serves as a comprehensive framework for organizations seeking to leverage AI for sustainable development, but it should be adapted to individual contexts to ensure its relevance and effectiveness.

Suggested Citation

  • Ignat Kulkov & Julia Kulkova & Rene Rohrbeck & Loick Menvielle & Valtteri Kaartemo & Hannu Makkonen, 2024. "Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2253-2267, June.
    • Handle: RePEc:wly:sustdv:v:32:y:2024:i:3:p:2253-2267
    DOI: 10.1002/sd.2773
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    1. Prince Gyimah & Kingsley Opoku Appiah & Kwadjo Appiagyei, 2025. "Unraveling contemporary trends on United Nations sustainable development goals: A new global bibliometric and literature review analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(2), pages 2579-2598, April.
    2. Shaofeng Wang & Hao Zhang, 2025. "Promoting sustainable development goals through generative artificial intelligence in the digital supply chain: Insights from Chinese tourism SMEs," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 1231-1248, February.
    3. Wang, Jianlong & Liu, Yong & Wang, Weilong & Wu, Haitao, 2024. "Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China," Technology in Society, Elsevier, vol. 79(C).
    4. J. de Curtò & I. de Zarzà, 2025. "Using Digital Tools to Understand Global Development Continuums," Societies, MDPI, vol. 15(3), pages 1-26, March.
    5. Schrape, Jan-Felix, 2025. "Artificial intelligence and social action: A techno-sociological contextualization," Research Contributions to Organizational Sociology and Innovation Studies, SOI Discussion Papers 2025-03, University of Stuttgart, Institute for Social Sciences, Department of Organizational Sociology and Innovation Studies.
    6. Yanqin Zeng & Sotaro Katsumata & Qingyu Zhang & Xi Li, 2024. "Organizational inclusion and sustainable development: An empirical evidence from the context of Eastern culture," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 4916-4930, October.
    7. Dervis Kirikkaleli & Samar Aad & Nurdan Ozrecberoglu Kirikkaleli, 2025. "Sustainable development and investment in artificial intelligence in the USA," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-7, December.
    8. Zhang, Cong & Yang, Jianhua, 2024. "Artificial intelligence and corporate ESG performance," International Review of Economics & Finance, Elsevier, vol. 96(PC).

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