Orchestrating a smart circular economy: Guiding principles for digital product passports

被引:9
|
作者
Langley, David J. [1 ,6 ]
Rosca, Eugenia [2 ]
Angelopoulos, Marios [3 ]
Kamminga, Oscar [4 ]
Hooijer, Christa [5 ]
机构
[1] Univ Groningen, Fac Econ & Business, Dept Innovat Management & Strategy, Groningen, Netherlands
[2] Univ Groningen, Fac Econ & Business, Dept Operat, Groningen, Netherlands
[3] Bournemouth Univ, Dept Comp, Bournemouth, England
[4] Univ Groningen, Fac Spatial Sci, Dept Econ Geog, Groningen, Netherlands
[5] TNO Netherlands Org Appl Sci Res, Unit Ind, Delft, Netherlands
[6] Nettelbosje 2, NL-9747 AE Groningen, Netherlands
关键词
Machine learning; Artificial intelligence; Knowledge engineering; Business models; Trans-disciplinary analysis; EVOLUTION;
D O I
10.1016/j.jbusres.2023.114259
中图分类号
F [经济];
学科分类号
02 ;
摘要
In order for firms to implement the Circular Economy, and close all material and energy cycles, connections are needed not only within but also between multiple Industrial Ecosystems. To enable such complex interconnections, the European Union is preparing legislation to enforce the use of digital product passports (DPPs). These are verifiable collections of data about products' composition, environmental footprint and opportunities for preventing waste. The notion of the DPP relies heavily on a suitable digital infrastructure, and it opens the possibility of using the power of artificial intelligence (AI), to optimize circular production within and between Industrial Ecosystems. The benefits of DPPs will only be attained if their design, knowledge engineering, and implementation is well-orchestrated. The purpose of this paper is to develop a set of guiding principles for the orchestration of DPPs, based upon a trans-disciplinary analysis, that form a theoretical basis upon which future research can build.
引用
收藏
页数:14
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