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  1. Home
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Browsing by Author "Gomis K"

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    CirDEF: Standardised information framework to address the information needs of circularity indicators
    (Elsevier Ltd, 2025-06-10) Kahandawa R; Jayasinghe RS; Gomis K; Baiocchi G
    Circularity indicators are widely used to assess progress toward sustainability through circular economic practices. However, the diverse data requirements for these indicators often result in inconsistencies, overlaps and misinterpretations when evaluating circularity. This study addresses the absence of a unified, standardised approach to defining and applying circularity indicators, by developing a framework, named “CirDEF”. This standardised and holistic information framework supports the varied information needs of circularity indicators across system scales, indicator types, and stakeholder contexts. A systematic literature review was conducted, analysing 75 resources to identify existing circularity indicators. The resulting standardised information framework structured around input, process, and output model incorporated with key attributes such as business, time, dimensional, impact, and performance. This allows for the creation of a holistic platform that can redefine existing circularity indicators and improve decision-making. The framework was validated through expert interviews using face, content, and construct validation methods, to ensure theoretical and practical relevance. CirDEF enables dynamic, context-specific circularity assessments by allowing users to apply any relevant circularity indicators instead of relying on fixed indicators. This adaptability supports real-time decision-making, traceability, and proactive implementation of the circular economy. By resolving ambiguities, overlaps, and the static measurement limitations, CirDEF serves as a comprehensive system that facilitates data-driven decisions and aligns with SDGs. This is the first study of its kind to provide a thorough resource for academics, industry practitioners, and policymakers, enabling a holistic evaluation of circularity indicators through a standardised information framework across various processes and life cycles on a global scale.
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    Scientometric Analysis of the Global Scientific Literature on Circularity Indicators in the Construction and Built Environment Sector
    (MDPI (Basel, Switzerland), 2022-12-31) Gomis K; Kahandawa R; Jayasinghe RS; Oladinrin OT; Pathirage C; Olanipekun A
    The circular-economy-related research has exponentially increased in recent years. The literature shows that circularity indicators represent a timely topic that requires an in-depth analysis. However, the trends and gaps in the literature in the area of the circular economy have not need analysed in depth. This study uses a scientometric analysis as the research methodology to examine the current literature on circularity and circular economic indicators. The publications were extracted from the Web of Science and were published until the end of the third quarter of 2022. The scientometric analysis was conducted using VOSviewer software to map the relationships between the 1117 articles selected on the topic. The findings revealed that the most productive author and university were Jorge de Brito and Delft University of Technology in the Netherlands. The overlay visualisation of the keywords identified a notable shift in research themes from dynamics, frameworks, models, and design in previous years to economy, barriers, and strategies in the current research context. The overlay visualisation of the keywords identified trending research hotspots within the current research context. This study is the first holistic and global overview of circularity and circular economic indicators in the construction context and identifies a critical need for further research to understand circularity and circular economic indicators under co-occurrence analysis conditions. This study offers academics, policymakers, and other circularity activists a guide for future research and valuable insight into circularity and circularity indicator themes.

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