| Title |
Industry 4.0 as an enabler in transitioning to circular business models: A systematic literature review |
| ID_Doc |
16298 |
| Authors |
Toth-Peter, A; de Oliveira, RT; Mathews, S; Barner, L; Figueira, S |
| Title |
Industry 4.0 as an enabler in transitioning to circular business models: A systematic literature review |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.jclepro.2023.136284 |
| Abstract |
The current planetary crisis and the perceived urgency necessitates more sustainable production and con-sumption patterns. Businesses, particularly the multinationals, play a key role in transitioning to a circular economy, which provides a promising approach to achieving the UN Sustainable Development Goals. Industry 4.0 technologies can theoretically support this transition and enable circular economy through, for example, data-driven and smart business processes. However, merging these new technologies with a circular economy is not a straightforward and well-established process and it fundamentally changes the business value chain. Therefore, this paper provides a systematic overview to help better understand the transition process to circular business models and the enabling role of industry 4.0. Merging these concepts underlines that many factors are interrelated and should be investigated in a holistic way instead of siloes. The findings imply that changes transcend business boundaries, including new value chain characteristics and operation models and indicate the interconnected nature of certain factors along the product lifecycle, including service-based models, circular design, reverse flows, consumers and users, and collaborations. This paper proposes a conceptual transition framework to address how new circular business models can integrate digitally adaptive transformations and proposals for future research are reflected upon. |
| Author Keywords |
Business model; Circular economy; Digitalization; Digital transformation; Industry 4; 0; Transition |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000932126100001 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
https://doi.org/10.1016/j.jclepro.2023.136284
|