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Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda

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  • Jabbour, Charbel Jose Chiappetta
  • Jabbour, Ana Beatriz Lopes de Sousa
  • Sarkis, Joseph
  • Filho, Moacir Godinho

Abstract

This work makes the case for the integration of the circular economy (CE) and large-scale data (LD), also known as big data. The paper is one of the first to integrate conceptual and practical trends regarding: (a) the ReSOLVE based models of the circular economy; (b) key stakeholders roles in pursuing a more sustainable society; and (c) the volume, velocity, variety, and veracity (4V's) of large-scale data (LD) management. This study's contributions include: (1) introducing a new integrative framework to enhance the understanding of the CE-LD nexus; (2) a relational matrix which illustrates the complexity of large-scale data and stakeholders management; and (3) a research agenda, with clear research propositions and future research direction. The proposed CE-LD integrative framework provides socio-technical insights for academics, practitioners, managers, and policy decision-makers.

Suggested Citation

  • Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    • Handle: RePEc:eee:tefoso:v:144:y:2019:i:c:p:546-552
    DOI: 10.1016/j.techfore.2017.09.010
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