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

Jabbour, C.J.C., Lopes de Sousa Jabbour, A.B., Sarkis, J. and Filho, M.G. (2019) Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda. Technological Forecasting and Social Change, 144 . pp. 546-552. ISSN 00401625

Full content URL: http://doi.org/10.1016/j.techfore.2017.09.010

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Item Type:Article
Item Status:Live Archive

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. © 2017 Elsevier Inc.

Additional Information:cited By 34
Keywords:Decision making, Information management, Sustainable development, Circular economy, Large scale data, Smart manufacturing, Stakeholders, Sustainable operations, Big data, data management, economic system, environmental economics, manufacturing, research program, stakeholder, sustainability
Divisions:Lincoln International Business School
ID Code:39679
Deposited On:20 Jan 2020 10:20

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