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Corrigenda to “Enabling environmental innovation via green supply chain integration: A perspective of information processing theory”

Corrigenda to “Enabling environmental innovation via green supply chain integration: A... 1148848 AUM0010.1177/03128962221148848Australian Journal of ManagementCorrigenda correction2023 Corrigenda Australian Journal of Management 1 –4 Corrigenda to “Enabling © The Author(s) 2023 Article reuse guidelines: sagepub.com/journals-permissions environmental innovation via https://doi.org/10.1177/03128962221148848 DOI: 10.1177/03128962221148848 journals.sagepub.com/home/aum green supply chain integration: A perspective of information processing theory” Zhou, C., Xia, W., Feng, T., & Jiang, J. (2022). Enabling environmental innovation via green supply chain integration: A perspective of information processing theory. Australian Journal of Management. DOI: https://doi.org/10.1177/03128962221092089 The authors would like to alert the reader of edits in their article that will provide better transpar- ency of their past studies and their relations to this current research. The article cited above uses the same database as some of their previously published research [1-13]. To assist in providing readers’ this context, the following edits have been made to the article: P.2 “Firms can timely obtain talents, equipment, and technical information from supply chain partners (Wong et al., 2011; Zhao et al., 2020),”. This text should be edited to “Our past research supports that firms can timely obtain talents, equip- ment, and technical information from supply chain partners (Wong et al., 2011; Zhao et al., 2020)”. P.4 “GSCI aims to coordinate and manage the information of suppliers http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Australian Journal of Management SAGE

Corrigenda to “Enabling environmental innovation via green supply chain integration: A perspective of information processing theory”

Australian Journal of Management , Volume 48 (2): 4 – May 1, 2023
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Publisher
SAGE
Copyright
© The Author(s) 2023
ISSN
0312-8962
eISSN
1327-2020
DOI
10.1177/03128962221148848
Publisher site
See Article on Publisher Site

Abstract

1148848 AUM0010.1177/03128962221148848Australian Journal of ManagementCorrigenda correction2023 Corrigenda Australian Journal of Management 1 –4 Corrigenda to “Enabling © The Author(s) 2023 Article reuse guidelines: sagepub.com/journals-permissions environmental innovation via https://doi.org/10.1177/03128962221148848 DOI: 10.1177/03128962221148848 journals.sagepub.com/home/aum green supply chain integration: A perspective of information processing theory” Zhou, C., Xia, W., Feng, T., & Jiang, J. (2022). Enabling environmental innovation via green supply chain integration: A perspective of information processing theory. Australian Journal of Management. DOI: https://doi.org/10.1177/03128962221092089 The authors would like to alert the reader of edits in their article that will provide better transpar- ency of their past studies and their relations to this current research. The article cited above uses the same database as some of their previously published research [1-13]. To assist in providing readers’ this context, the following edits have been made to the article: P.2 “Firms can timely obtain talents, equipment, and technical information from supply chain partners (Wong et al., 2011; Zhao et al., 2020),”. This text should be edited to “Our past research supports that firms can timely obtain talents, equip- ment, and technical information from supply chain partners (Wong et al., 2011; Zhao et al., 2020)”. P.4 “GSCI aims to coordinate and manage the information of suppliers

Journal

Australian Journal of Management – SAGE

Published: May 1, 2023

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