| Title |
Orchestrating a smart circular economy: Guiding principles for digital product passports |
| ID_Doc |
28508 |
| Authors |
Langley, DJ; Rosca, E; Angelopoulos, M; Kamminga, O; Hooijer, C |
| Title |
Orchestrating a smart circular economy: Guiding principles for digital product passports |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.jbusres.2023.114259 |
| Abstract |
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. |
| Author Keywords |
Machine learning; Artificial intelligence; Knowledge engineering; Business models; Trans-disciplinary analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:001150089600001 |
| WoS Category |
Business |
| Research Area |
Business & Economics |
| PDF |
https://doi.org/10.1016/j.jbusres.2023.114259
|