Digital technologies may enable the adoption of Circular Economy models in production and consumption processes, thereby promoting environmental sustainability. Literature on these topics has grown exponentially over the last decades, focusing on the adoption of Industry 4.0 technologies and its implications for environmental sustainability or circularity. However, extant literature reviews failed to cover the vast amount of literature produced, since they either have a narrow scope or focus on a limited sample of articles. To fill this gap, a bibliometric literature review was carried out on a sample of 1002 scientific articles on Circular Economy, Industry 4.0 technologies, and environmental sustainability. Descriptive statistics are coupled with a cluster-based analysis to provide a comprehensive coverage of the broader subject matter. Eight research clusters have been identified, with two general clusters (linkages between Industry 4.0, Circular Economy, environmental sustainability) and six topic-specific clusters (Big Data analytics for supply chain circularity, circular and sustainable additive manufacturing, urban sustainability, sustainable circular and digital (re)manufacturing, blockchain and data integration for a sustainable Circular Economy, miscellaneous and sectorial applications). Clusters are discussed in terms of research themes, methodologies, technologies, and circular strategies. Finally, a research agenda is drafted, pointing out six cluster-specific and four more transversal research directions. Hence, this research offers a detailed and quantitative overview of the research landscape, helping researchers and managers in understanding past contributions, assessing current standings, and identifying future directions of the research at the intersection of Industry 4.0 technologies, environmental sustainability, and Circular Economy.

Clustering the Research at the Intersection of Industry 4.0 Technologies, Environmental Sustainability and Circular Economy: Evidence from Literature and Future Research Directions

Das S. K.
;
Bressanelli G.
;
Saccani N.
2024-01-01

Abstract

Digital technologies may enable the adoption of Circular Economy models in production and consumption processes, thereby promoting environmental sustainability. Literature on these topics has grown exponentially over the last decades, focusing on the adoption of Industry 4.0 technologies and its implications for environmental sustainability or circularity. However, extant literature reviews failed to cover the vast amount of literature produced, since they either have a narrow scope or focus on a limited sample of articles. To fill this gap, a bibliometric literature review was carried out on a sample of 1002 scientific articles on Circular Economy, Industry 4.0 technologies, and environmental sustainability. Descriptive statistics are coupled with a cluster-based analysis to provide a comprehensive coverage of the broader subject matter. Eight research clusters have been identified, with two general clusters (linkages between Industry 4.0, Circular Economy, environmental sustainability) and six topic-specific clusters (Big Data analytics for supply chain circularity, circular and sustainable additive manufacturing, urban sustainability, sustainable circular and digital (re)manufacturing, blockchain and data integration for a sustainable Circular Economy, miscellaneous and sectorial applications). Clusters are discussed in terms of research themes, methodologies, technologies, and circular strategies. Finally, a research agenda is drafted, pointing out six cluster-specific and four more transversal research directions. Hence, this research offers a detailed and quantitative overview of the research landscape, helping researchers and managers in understanding past contributions, assessing current standings, and identifying future directions of the research at the intersection of Industry 4.0 technologies, environmental sustainability, and Circular Economy.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/602376
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