Digital Innovation for a Sustainable Economy
Permanent URI for this collectionhttps://hdl.handle.net/10125/107510
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Item type: Item , Meta-requirements for the Design of a Blockchain Multi-sided Platform for Sustainability and Circular Economy(2024-01-03) Buyssens, Hanna; Viaene, StijnDigital technologies have the potential to impact sustainability and circular economy (CE) initiatives. Blockchain, in particular, has gained attention for its potential to enable sustainable and circular practices. However, the high energy consumption associated with the technology also raises environmental concerns, necessitating careful design considerations. This study aims to identify the requirements for designing a blockchain multi-sided platform (MSP) for sustainability and CE. Through a systematic literature review, we derived six meta-requirements that focus on sustainability and circular economy practices. The findings contribute to the literature on blockchain technology by providing a structured understanding of how blockchain can align with sustainability and circular principles, providing an initial pathway for designing sustainable information systems. The research is also valuable for organizations seeking to leverage digital technologies for their sustainability goals, offering guidance on incorporating blockchain to minimize environmental impact and maximize sustainability benefits.Item type: Item , Towards Sustainability of AI: A Systematic Review of Exisiting Life Cycle Assessment Approaches and Key Environmental Impact Parameters of Artificial Intelligence(2024-01-03) Dokic, Dusan; Groen In'T Woud, Florian; Maass, WolfgangMost people are aware of the huge benefits that Artificial Intelligence (AI) brings to humanity in terms of sustainable applications (AI for sustainability). Yet, the fewest face the environmental impacts caused by an AI over its complete lifecycle (Sustainability of AI), e.g., the energy consumption, regardless how beneficial its outputs are. This paper presents a systematic literature review on the existing approaches for conducting a Life Cycle Assessment (LCA) on AI applications, alongside the key factors influencing their environmental impact. The study identifies critical environmental impact drivers of an AI over its life cycle, like the energy and resource consumption of hardware devices which provide the needed computing power . It underscores the importance of a holistic LCA approach considering operational and embodied energy use and the lifecycle impacts of data centers and other physical devices required for AI. The results provide critical insights for stakeholders looking to assess and mitigate the environmental impact of AI applications.Item type: Item , Introduction to the Minitrack on Digital Innovation for a Sustainable Economy(2024-01-03) Hein, Andreas; Böttcher, Timo; Schreieck, Maximilian; Krcmar, Helmut