Digital platforms for circular economy: Empirical development of a taxonomy and archetypes

Abstract Digital platforms hold promise to leverage the transition from a linear to a circular economy (CE), as they have already disrupted value-creation mechanisms and formed dynamic ecosystems in various domains. However, the solution space for CE platforms is vast and remains under-researched, challenging platform providers to find purposeful platform configurations and industrial companies to choose the right platform on the market. To support informed platform design decisions and uncover the existing CE platform configurations, we develop a taxonomy from a systematic literature review and an empirical dataset of 129 cases of CE platforms. The taxonomy provides a holistic view of the solution space, advancing our understanding of key configuration options. The taxonomy allows us to perform cluster analysis and derive six CE platform archetypes. These findings advance the theoretical knowledge indicating how platforms can support CE and help decision-makers design CE platforms or identify suitable CE platforms for their own circular activities.

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Publication Details

Journal
Electronic Markets
Published
2025-06-30
DOI
https://doi.org/10.1007/s12525-025-00792-w
Citations
9
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
20.04

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article

Digital platforms for circular economy: Empirical development of a taxonomy and archetypes

Dimitri Petrik, Simon Hiller, Dominik Morar
9 citations
Electronic Markets
Sustainable Supply Chain Management
20.04
article

Digital platforms for circular economy: Empirical development of a taxonomy and archetypes

Dimitri Petrik, Simon Hiller, Dominik Morar
article en
9 citations

Abstract

Abstract Digital platforms hold promise to leverage the transition from a linear to a circular economy (CE), as they have already disrupted value-creation mechanisms and formed dynamic ecosystems in various domains. However, the solution space for CE platforms is vast and remains under-researched, challenging platform providers to find purposeful platform configurations and industrial companies to choose the right platform on the market. To support informed platform design decisions and uncover the existing CE platform configurations, we develop a taxonomy from a systematic literature review and an empirical dataset of 129 cases of CE platforms. The taxonomy provides a holistic view of the solution space, advancing our understanding of key configuration options. The taxonomy allows us to perform cluster analysis and derive six CE platform archetypes. These findings advance the theoretical knowledge indicating how platforms can support CE and help decision-makers design CE platforms or identify suitable CE platforms for their own circular activities.

Electronic MarketsVol. 35(1)
University of Stuttgart (DE), Steinbeis Foundation (DE), Stuttgart Technical University of Applied Sciences (DE)
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg, Universität Stuttgart
Openalex Percentile: Top 1%
Sustainable Supply Chain Management
20.04
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