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Achieving carbon neutrality via supply chain management: position paper and editorial for IJPR special issue.

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Title: Achieving carbon neutrality via supply chain management: position paper and editorial for IJPR special issue.
Authors: Koh, S. C. Lenny1 (AUTHOR), Jia, Fu2 (AUTHOR), Gong, Yu3 (AUTHOR), Zheng, Xiaoxue4 (AUTHOR), Dolgui, Alexandre5 (AUTHOR) alexandre.dolgui@imt-atlantique.fr
Source: International Journal of Production Research. Sep2023, Vol. 61 Issue 18, p6081-6092. 12p. 1 Graph.
Subjects: Supply chain management, Carbon offsetting, Supply chains
Abstract: This special issue of the International Journal of Production Research, focuses on the 'Carbon Neutrality' and 'SCM'. Nine articles have been selected for this special issue, and they cover various aspects to understand the manifestation of 'Carbon Neutrality' in supply chains, and to further illuminate how to achieve 'Carbon Neutrality' with supply chain innovation. This editorial provides a brief overview of the research domain, then introduces each article in the context of the state-of-the-art and highlights the contributions of selected papers to the field. Finally, the research perspectives are discussed. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Achieving carbon neutrality via supply chain management: position paper and editorial for IJPR special issue.
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  Data: <searchLink fieldCode="AR" term="%22Koh%2C+S%2E+C%2E+Lenny%22">Koh, S. C. Lenny</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jia%2C+Fu%22">Jia, Fu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gong%2C+Yu%22">Gong, Yu</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Xiaoxue%22">Zheng, Xiaoxue</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dolgui%2C+Alexandre%22">Dolgui, Alexandre</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> alexandre.dolgui@imt-atlantique.fr</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Sep2023, Vol. 61 Issue 18, p6081-6092. 12p. 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Supply+chain+management%22">Supply chain management</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+offsetting%22">Carbon offsetting</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink>
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  Label: Abstract
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  Data: This special issue of the International Journal of Production Research, focuses on the 'Carbon Neutrality' and 'SCM'. Nine articles have been selected for this special issue, and they cover various aspects to understand the manifestation of 'Carbon Neutrality' in supply chains, and to further illuminate how to achieve 'Carbon Neutrality' with supply chain innovation. This editorial provides a brief overview of the research domain, then introduces each article in the context of the state-of-the-art and highlights the contributions of selected papers to the field. Finally, the research perspectives are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00207543.2023.2232652
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Carbon offsetting
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      – SubjectFull: Supply chains
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              Text: Sep2023
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