• Energy Research
• 2025-2025close
• 12. Responsible consumption close
• 2. Zero hunger close
• AU close
• DE close

Creating and delivering products and services that promote sustainability is increasingly important in today’s economy. Novel services based on digital technologies and infrastructure can significantly contribute to sustainable development, as demonstrated by digitally enabled car-sharing services where increased asset utilization reduces production-related greenhouse gas emissions. However, there is still limited knowledge on how digital service innovation can purposefully be applied to promote sustainability. To address this gap, we conduct a systematic literature review and perform a qualitative inductive analysis of 50 articles on the impact of digital service innovation on social, environmental, and economic sustainability. We provide a comprehensive overview of real-world applications and identify five underlying mechanisms through which innovation with digital services can drive sustainable development. In doing so, we aim to pave the way to purposefully conceive, design, and implement digital services for sustainability.

Supplemental data and extended results associated with the article entitled 'Ambitious food system interventions required to mitigate the risk of exceeding Earth’s environmental limits' (see Hadjikakou et al., 2025, One Earth). This repository contains the following files: Systematic search results and strings used to identify studies (Systematic_search_details.xlsx) A harmonised input database assembled from systematically selected studies (Harmonised_input_database.xlsx) Mapping of all on-ground actions in the literature to food system interventions (Action-intervention mapping.xlsx) Source data for key figures in the article and SI (Source data for figures.xlsx) Linear mixed model (LMM) predictions in physical units across all environmental indicators for all intervention combinations (Extended_results - LMM_indicator_predictions.zip) Risk estimates across all environmental limits for all intervention combinations (Extended_results - Risk_estimates_across_environmental_limits.zip) For all code, see the Global Food System Intervention Meta-Regression Model (GFSI-MRM).