Title |
Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda |
ID_Doc |
3309 |
Authors |
Jabbour, CJC; Jabbour, ABLD; Sarkis, J; Godinho, M |
Title |
Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda |
Year |
2019 |
Published |
|
DOI |
10.1016/j.techfore.2017.09.010 |
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. |
Author Keywords |
Circular economy; Large-scale data; Big-data; Sustainable operations; Sustainability; Stakeholders; Smart manufacturing |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Social Science Citation Index (SSCI) |
EID |
WOS:000471735700049 |
WoS Category |
Business; Regional & Urban Planning |
Research Area |
Business & Economics; Public Administration |
PDF |
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