Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/318998 
Year of Publication: 
2023
Citation: 
[Journal:] Journal of Business Models (JOBM) [ISSN:] 2246-2465 [Volume:] 11 [Issue:] 1 [Year:] 2023 [Pages:] 78-81
Publisher: 
Aalborg University Open Publishing, Aalborg
Abstract: 
The Circular Economy (CE) has been identified as a promising solution for reducing emissions, waste, and achieving sustainable development goals while offering economic values for companies. However, the move towards CE requires managers and decision-makers to rethink and redesign their Business Models (BMs) incrementally or radically. In order to achieve proper decisions on resource usage, product designs, material flows, and recirculation of materials, data plays a significant role in CE. Accessible data is considered as an essential enabler of circular solutions and at the heart of circular business models. In this regard, digital transformation can offer innovative tools for efficient execution and sharing of data to help companies generating new business models and to increase their competitive advantages. This study explores different data-driven BMs enabled by digital technologies in CE.
Subjects: 
Circular economy
data-driven business model
digital technologies
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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