Artificial intelligence ‐ driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals
Åbo Akademi University · Mälardalen University · +6 more institutions
Abstract
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…
Citation impact
- FWCI
- 86.23
- Percentile
- 100%
- References
- 78
Authors
6- IKIgnat KulkovCorresponding
Åbo Akademi University, Mälardalen University
- JKJulia Kulkova
Ecole des Hautes Etudes Commerciales du Nord, Aalto University
- RRRené Rohrbeck
Ecole des Hautes Etudes Commerciales du Nord
- LMLoïck Menvielle
Ecole des Hautes Etudes Commerciales du Nord
- VKValtteri Kaartemo
University of Turku, Turku University of Applied Sciences, Turku Centre for Computer Science
Topics & keywords
- Sustainable development
- Sustainability
- Leverage (statistics)
- Knowledge management
- Process management
- Ambidexterity
- Business intelligence
- Relevance (law)