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Improving the waste supply chain, a case of South Korea 2012–2021: stochastic frontier analysis, artificial neural network, and grey-incidence approach

Crossref DOI link: https://doi.org/10.1007/s10479-025-06761-y

Published Online: 2025-07-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Hong, Leo https://orcid.org/0000-0003-0819-9491
Yun, Gawon https://orcid.org/0000-0002-0449-4357
Hales, Douglas N. https://orcid.org/0000-0002-7471-9718
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Text and Data Mining valid from 2025-07-24

Version of Record valid from 2025-07-24
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Article History

Received: 16 June 2024

Accepted: 10 July 2025

First Online: 24 July 2025

Declarations

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: The authors have no relevant financial or non-financial interests to disclose that are relevant to the content of this article.

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