TWIN TRANSFORMATION — THE CASE OF SMART CIRCULAR ECONOMY IN MANUFACTURING INDUSTRIES: INSIGHTS FROM AN UMBRELLA REVIEW

Lydia Bühler et al.

International Journal of Innovation Management2025https://doi.org/10.1142/s1363919625400079article
AJG 2
Weight
0.46

What the paper says

Digitalisation and sustainability are two pivotal industrial paradigms driving academia and industry. Manufacturing companies are increasingly pressured to balance profitability with environmental sustainability, highlighting the necessity of capitalising on the synergies between digitalisation and sustainability. This study examines the concept of “twin transformation” through the lens of a smart circular economy, emphasising the symbiotic relationship between digital and sustainability efforts. Through an umbrella review of 26 literature reviews on smart circular economy, this study offers insights into how digital technologies can advance circular economy principles in the manufacturing sector, and provides a comprehensive overview of the current state of research. To be more precise, this study identifies 14 digital technologies along the data value chain structured across the phases of data discovery, data integration, data analysis, and data application. These digital technologies exhibit significant potential to advance circular economy principles and foster sustainable manufacturing practices. Additionally, the study highlights 98 content-specific research gaps, organised into 30 clusters across four overarching themes, all rooted in the theoretical framework of the natural resource-based view. This serves as a comprehensive roadmap for scientific exploration, addressing critical questions in the context of twin transformation.

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https://doi.org/https://doi.org/10.1142/s1363919625400079

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@article{lydia2025,
  title        = {{TWIN TRANSFORMATION — THE CASE OF SMART CIRCULAR ECONOMY IN MANUFACTURING INDUSTRIES: INSIGHTS FROM AN UMBRELLA REVIEW}},
  author       = {Lydia Bühler et al.},
  journal      = {International Journal of Innovation Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1142/s1363919625400079},
}

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Evidence weight

0.46

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.37 × 0.4 = 0.15
M · momentum0.60 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.