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, Moacir Godinho Filho

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

61 Citations (Scopus)

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.

Original languageEnglish
Peer-reviewed scientific journalTechnological Forecasting and Social Change
Volume144
Issue numberJuly
Pages (from-to)546-552
Number of pages7
ISSN0040-1625
DOIs
Publication statusPublished - 21.09.2017
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Circular economy
  • Large-scale data
  • Big-data
  • Sustainable operations
  • Sustainability
  • Stakeholders
  • Smart manufacturing

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