Industrial ecosystems: A systematic review, framework and research agenda

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-08-15 DOI:10.1016/j.techfore.2024.123656
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Abstract

There is confusion surrounding the concept of industrial ecosystems (IEs). This research therefore presents a systematic literature review on the subject of industrial ecosystems and outlines several paths for future research. The paper defines the key characteristics of IEs, identifies three perplexity drivers that contribute to the conceptual ambiguity of IEs, proposes a four-tier integrative IE framework that outlines the core components of IE research, and presents a conceptual model that clarifies how synergetic effects emerge, leading to IE transformation. Articles are categorized into four categories (industrial symbiosis, metabolism, architecture, and orchestration) from which ten propositions are delineated. The study encourages researchers to tap into several areas from the view that this is a broad, but still rather unexplored area of research with high relevance for policy.

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工业生态系统:系统回顾、框架和研究议程
围绕工业生态系统(IEs)的概念存在混乱。因此,本研究对工业生态系统这一主题进行了系统的文献综述,并概述了未来研究的几条路径。本文定义了工业生态系统的主要特征,指出了导致工业生态系统概念模糊的三个困惑因素,提出了一个概述工业生态系统研究核心内容的四层综合工业生态系统框架,并提出了一个概念模型,阐明了协同效应是如何产生的,从而导致工业生态系统的转变。文章分为四类(工业共生、新陈代谢、架构和协调),并从中划分出十个命题。本研究鼓励研究人员从这一广泛但仍未开发的研究领域中挖掘出与政策高度相关的多个领域。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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