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The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies

机译：智能循环经济：一种支持数字式的制造公司策略框架

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摘要

Digital technologies (DTs), such as the Internet of Things (IoT), big data, and data analytics, are considered essential enablers of the circular economy (CE). However, as both CE and DTs are emerging fields, there exists little systematic guidance on how DTs can be applied to capture the full potential of circular strategies for improving resource efficiency and productivity. Furthermore, there is little insight into the supporting business analytics (BA) capabilities required to accomplish this. To address this gap, this paper conducts a theoryand practice-based review, resulting in the Smart CE framework that supports translating the circular strategies central to the goals of manufacturing companies in con-tributing the United Nation's (UN) 12th Sustainable Development Goal, that is, "sustainable consumption and production," into the BA requirements of DTs. Both scholars and practitioners may find the framework useful to (1) create a common language for aligning activities across the boundaries of disciplines such as information systems and the CE body of knowledge, and (2) identify the gap between the current and entailed BA requirements and identify the strategic initiatives needed to close it. Additionally, the framework is used to organize a database of case examples to identify some best practices related to specific smart circular strategies.
机译：数字技术（DTS），如事物互联网（IOT），大数据和数据分析，被认为是循环经济的基本推动因素（CE）。然而，由于CE和DTS都是新兴领域，就如何应用DTS来捕获循环策略的全部潜力，以提高资源效率和生产率的全部潜力存在很少的系统指导。此外，几乎没有深入了解完成此操作所需的支持业务分析（BA）功能。为了解决这一差距，本文进行了基于理论和基于实践的审查，导致智能CE框架，支持将循环战略核心转化为制造公司的目标，以便在联合国（联合国）第12次可持续发展目标中，这是“可持续消费和生产”，进入DTS的BA要求。学者和从业者都可以找到适用于（1）的框架，该框架创建了一种用于对齐跨学科界限的活动的共同语言，例如信息系统和CE知识体，（2）确定当前和需要的BA要求之间的差距并确定关闭它所需的战略举措。此外，该框架用于组织案例示例的数据库，以确定与特定智能循环策略相关的一些最佳实践。

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