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Cited by 698

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Unlocking circular business: A framework of barriers and drivers

Open access
Tura, Nina, Hanski, Jyri, Ahola, Tuomas, Ståhle, Matias, Piiparinen, Sini, Valkokari, Pasi·2019·Journal of Cleaner Production

Abstract

Circular economy increasingly attracts the interest of business, policy makers and academia in the search for answers to sustainability challenges. While earlier studies have presented drivers that support the introduction of new business concepts for circular economy, as well as barriers that hinder the rate of innovation in the field, no systematic categorizations of such factors have been brought forward. Drawing on current literature, a framework of drivers and barriers is introduced, including seven distinct areas: environmental, economic, social, political and institutional, technological and informational, supply chain, and organizational factors. The appearance and content of these areas in practice have been examined in four case organizations by conducting thirty-six qualitative, semi-structured interviews. Empirical illustrations of the potential barriers and drivers provide managerial implications for better execution of circular business.

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Crossref · 10.1016/j.jclepro.2018.11.202

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Metadata

Authors
Tura, N., Hanski, J., Ahola, T., Ståhle, M., Piiparinen, S., & Valkokari, P.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-03
Volume
212
Pages
90-98
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2900499160
Cited by
698
References
58
FWCI
64.11
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Unlocking circular business: A framework of barriers and drivers. https://app.cochat.ai/papers/10.1016/j.jclepro.2018.11.202
The paper
Tura, N., Hanski, J., Ahola, T., Ståhle, M., Piiparinen, S., & Valkokari, P. (2019). Unlocking circular business: A framework of barriers and drivers. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.11.202

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.