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

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

Technological Forecasting and Social Change, 2019, vol. 144, issue C, 546-552

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.

Keywords: Circular economy; Large-scale data; Big-data; Sustainable operations; Sustainability; Stakeholders; Smart manufacturing (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (73)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:144:y:2019:i:c:p:546-552

DOI: 10.1016/j.techfore.2017.09.010

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