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

By Charbel José Chiappetta Jabbour, Ana Beatriz Lopes de Sousa Jabbour, Joseph Sarkis, Moacir Godinho Filho. Technological forecasting & social change, 2017

476 citations recorded by the source corpus.

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.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/c38f7e57452b12adaddcd926d226f2b60f5e16c1

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In Electrical and Electronic Engineering

  1. Patrick Mikalef

In Industrial and Manufacturing Engineering

  1. T. C. Edwin Cheng
  2. Patrick Mikalef
  3. Sachin S. Kamble
  4. Fenna Blomsma

In Strategy and Management

  1. Amine Belhadi
  2. T. C. Edwin Cheng
  3. Patrick Mikalef
  4. Nelson Oly Ndubisi
  5. Sachin S. Kamble
  6. Kee-Hung Lai
  7. Fenna Blomsma

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