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Investigating Circular Business Model Innovation through Keywords Analysis

期刊

SUSTAINABILITY
卷 13, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/su13095036

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circular economy; circular business model; circular business model innovation; literature review; keywords analysis

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The ongoing economic, social, and environmental developments have pushed the production system to shift from linear to circular model, posing significant challenges for companies to modify their business models. Interest in business model innovation towards a circular system has increased, but few literature reviews include the innovation dimension.
Ongoing economic, social and environmental developments have forced the production system to undertake a profound transformation, shifting from a linear to a circular model. The transformation towards a circular economy poses significant challenges for established companies, in many cases requiring a strong modification of their current business models, start-ups and new ventures. Firms need to completely rethink their value proposition, modifying how the product or service is produced, delivered to the customers and disposed of. As a result, interest in business model innovation with a view to a circular system has increased significantly over the last five years, leading to a flourishing literature production. Although several literature reviews have been published on the topic of the circular business model, few of them include the innovation dimension. Moreover, the time horizon covered by the previous reviews extends to 2019 and in one case to 2020. Since 2020 saw a 135% increase in scientific production compared to the previous year, it is necessary to update the prior works, taking into account the new contributions. Our paper aims to bridge this gap by proposing a literature review based on keywords analysis. In this way, it is possible to analyze the issues addressed in the circular business model innovation (CMBI) by categorizing them as core, emerging/phantom, trendy or intermittent. This analysis is particularly suitable for identifying future research directions as signaled by the emerging themes.

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