Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115382
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.contributorSchool of Accounting and Financeen_US
dc.creatorYu, Sen_US
dc.creatorZhang, Men_US
dc.creatorZhao, Zen_US
dc.creatorWang, PPen_US
dc.creatorHuang, GQen_US
dc.date.accessioned2025-09-23T03:16:37Z-
dc.date.available2025-09-23T03:16:37Z-
dc.identifier.issn0263-5577en_US
dc.identifier.urihttp://hdl.handle.net/10397/115382-
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Yu S, Zhang M, Zhao Z, Wang PP, Huang GQ (2026), "ESG transformation through private equity and digital twin in energy supply chain: an evolutionary game analysis". Industrial Management & Data Systems, Vol. 126 No. 3 pp. 1092–1121 is published by Emerald and is available at https://doi.org/10.1108/IMDS-11-2024-1106.en_US
dc.subjectEnvironmentalen_US
dc.subjectSocialen_US
dc.subjectand Governance (ESG)en_US
dc.subjectEnergy supply chainen_US
dc.subjectPrivate equityen_US
dc.subjectDigital twinen_US
dc.subjectEvolutionary gameen_US
dc.titleESG transformation through private equity and digital twin in energy supply chain : an evolutionary game analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1092en_US
dc.identifier.epage1121en_US
dc.identifier.volume126en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1108/IMDS-11-2024-1106en_US
dcterms.abstractPurpose: This study aims to explore the long-term decision-making behavior of energy enterprises, private equity organizations (PEs) and governments in the context of environmental, social and governance (ESG)-driven transformation. Given the cost barriers associated with ESG adoption and the new opportunities presented by PE investments, understanding how these stakeholders interact and make strategic choices is crucial for facilitating a sustainable energy sector.en_US
dcterms.abstractDesign/methodology/approach: This paper proposes a tripartite evolutionary game model to investigate the interactions among the three stakeholders. The model illustrates the feasibility of deploying digital twin (DT) technology in energy enterprises. We then analyze the impact of key factors on three stakeholders’ decision-making and derive strategies and conditions for their evolutionary stabilization.en_US
dcterms.abstractFindings: The findings show that governments should provide policy incentives to attract enterprises to adopt innovative technologies to improve ESG levels. ESG, as an important non-financial indicator, provides a basis for PEs to invest in it. When PEs invest in it, enterprises will have more funds to deploy DT, which may form a technological barrier.en_US
dcterms.abstractResearch limitations/implications: This study provides valuable insights into sustainable supply chains by examining the decision-making processes of diverse stakeholders in relation to sustainability.en_US
dcterms.abstractOriginality/value: This paper employs an evolutionary game theory approach to elucidate the impact of using and not using DT technology on the decision-making process of three stakeholders. Insights are provided for the decision-making process of three stakeholders. It also reveals how governments and PEs can promote ESG development in energy enterprises.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIndustrial management and data systems, 13 Feb. 2026, v. 126, no. 3, p. 1092-1121en_US
dcterms.isPartOfIndustrial management and data systemsen_US
dcterms.issued2026-02-13-
dc.identifier.scopus2-s2.0-105009325743-
dc.identifier.eissn1758-5783en_US
dc.description.validate202509 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera4084a-
dc.identifier.SubFormID52045-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextNational Natural Science Foundation of China (No. 52305557); Guangdong Basic and Applied Basic Research Foundation (No. 2025A1515012669, No. 761 2024A1515011930); Research Institute for Advanced Manufacturing (RIAM) of The Hong Kong 762 Polytechnic University (No. CDLU, CDLM, CDJX),; Department General Research Fund (No. 763 P0050805); Intra-Faculty Interdisciplinary Projects (No. P0052206); ;en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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