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

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. • This paper integrates the disparate fields of the circular economy (CE) and large-scale data (LD). • Discusses how large-data can support the circular economy's business models. • An integrative framework for CE-LD is proposed. • A research agenda for the circular economy and large-data integration is proposed. • Implications for challenges and opportunities of sustainable production in a digital world. [ABSTRACT FROM AUTHOR]