Knowledge Agora



Similar Articles

Title Artificial intelligence - driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals
ID_Doc 66104
Authors Kulkov, I; Kulkova, J; Rohrbeck, R; Menvielle, L; Kaartemo, V; Makkonen, H
Title Artificial intelligence - driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals
Year 2024
Published Sustainable Development, 32.0, 3
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.
PDF https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sd.2773

Similar Articles

ID Score Article
78633 Di Vaio, A; Palladino, R; Hassan, R; Escobar, O Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review(2020)
71528 Liengpunsakul, S Artificial Intelligence and Sustainable Development in China(2021)Chinese Economy, 54.0, 4
73654 Haleem, A; Javaid, M; Khan, IH; Mohan, S Significant Applications of Artificial Intelligence Towards Attaining Sustainability(2024)
77842 Hasan, R; Ojala, A Managing artificial intelligence in international business: Toward a research agenda on sustainable production and consumption(2024)Thunderbird International Business Review, 66, 2
7757 Kar, AK; Choudhary, SK; Singh, VK How can artificial intelligence impact sustainability: A systematic literature review(2022)
73554 Wankhede, VA; Agrawal, R; Kumar, A; Luthra, S; Pamucar, D; Stevic, Z Artificial intelligence an enabler for sustainable engineering decision-making in uncertain environment: a review and future propositions(2024)Journal Of Global Operations And Strategic Sourcing, 17, 2
78494 D'Amore, G; Di Vaio, A; Balsalobre-Lorente, D; Boccia, F Artificial Intelligence in the Water-Energy-Food Model: A Holistic Approach towards Sustainable Development Goals(2022)Sustainability, 14, 2
27048 Perucica, N; Andjelkovic, K Is the future of AI sustainable? A case study of the European Union(2022)Transforming Government- People Process And Policy, 16, 3
34791 Gupta, BB; Gaurav, A; Panigrahi, PK; Arya, V Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship(2023)
75773 Lukianenko, D; Simakhova, A Artificial Intelligence in the Scientific and Technological Paradigm of Global Economy(2024)Problemy Ekorozwoju, 19, 2
Scroll