Automated identification of circular value chains and synergies

Luca Gentilini , Carlo Polidori , Matteo Fervorari , Marcello Colledani
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Abstract

A human-driven procedure able to identify cross-sectorial and cross-regional circular economy value-chains was co-created by 17 European regions within the H2020 SCREEN project. This paper explains how such a procedure has been translated into an automated service able to be inserted in a digital platform overcoming current information asymmetry among value-chain stakeholders, currently under development within the H2020 DigiPrime project. The open innovation approach adopted for the translation enables local companies to directly insert their data and to be directly notified about circular business opportunities. The advantage of the automated identification mechanism consists in avoiding the support of a circular economy expert for the first identification of value chains and synergies matching, thus leaving the regional officer more freedom; the lower accuracy of the automated mechanisms will be compensated by the large number of data that will be available once the DigiPrime platform will be fully operating.

循环价值链和协同效应的自动识别
在H2020 SCREEN项目中,17个欧洲地区共同创建了一个能够识别跨部门和跨区域循环经济价值链的人为驱动程序。本文解释了如何将这样的过程转化为能够插入数字平台的自动化服务,以克服价值链利益相关者之间当前的信息不对称,目前正在H2020 DigiPrime项目中开发。翻译采用的开放式创新方法使当地公司能够直接插入他们的数据,并直接获得有关循环商业机会的通知。自动识别机制的优势在于避免了循环经济专家对价值链的首次识别和协同匹配的支持,从而使区域官员更自由;一旦DigiPrime平台全面投入使用,大量的数据将会弥补自动化机制较低的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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