TY - JOUR
T1 - Unlocking the circular economy through new business models based on large-scale data
T2 - An integrative framework and research agenda
AU - Jabbour, Charbel Jose Chiappetta
AU - Jabbour, Ana Beatriz Lopes de Sousa
AU - Sarkis, Joseph
AU - Filho, Moacir Godinho
PY - 2017/9/21
Y1 - 2017/9/21
N2 - 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.
AB - 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.
KW - 512 Business and Management
KW - Circular economy
KW - Large-scale data
KW - Big-data
KW - Sustainable operations
KW - Sustainability
KW - Stakeholders
KW - Smart manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85029690218&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2017.09.010
DO - 10.1016/j.techfore.2017.09.010
M3 - Article
AN - SCOPUS:85029690218
SN - 0040-1625
VL - 144
SP - 546
EP - 552
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
IS - July
ER -
