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

机译:通过基于大规模数据的新业务模型来释放循环经济:综合框架和研究议程

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摘要

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.
机译:这项工作为整合循环经济(CE)和大规模数据(LD)(也称为大数据)奠定了基础。本文是第一批整合有关以下方面的概念和实践趋势的文件:(a)基于ReSOLVE的循环经济模型; (b)利益攸关方在追求更可持续发展的社会方面的关键作用; (c)大规模数据(LD)管理的数量,速度,种类和准确性(4V)。这项研究的贡献包括:(1)引入新的整合框架,以增强对CE-LD关系的理解; (2)关系矩阵,说明大型数据和利益相关者管理的复杂性; (3)研究议程,明确研究命题和未来研究方向。提议的CE-LD集成框架为学者,从业人员,管理人员和政策决策者提供了社会技术见解。

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