Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108916
DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorLai, KHen_US
dc.creatorFeng, Yen_US
dc.creatorZhu, Qen_US
dc.date.accessioned2024-09-10T06:05:07Z-
dc.date.available2024-09-10T06:05:07Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/108916-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectCase studyen_US
dc.subjectDigital transformationen_US
dc.subjectGreen supply chain digital transformationen_US
dc.subjectGreen supply chain managementen_US
dc.titleDigital transformation for green supply chain innovation in manufacturing operationsen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author's file: Digital transformation for green supply chain in manufacturing operationsen_US
dc.identifier.volume175en_US
dc.identifier.doi10.1016/j.tre.2023.103145en_US
dcterms.abstractIn the digital era, green supply chain management (GSCM) is undergoing transformations associated with innovation and performance improvements. Manufacturers adopt these innovative GSCM practices, called green supply chain digital transformation (GSCDT), by applying emergent digital technologies to GSCM for specific purposes. This study identifies and develops GSCDT practices with support from the literature and case studies of six manufacturers with operational GSCDT in diversified industries to explore the practice adoption enablers of GSCDT and contingency factors for performance improvement through GSCDT for manufacturers. We analyze the emergence and adoption of GSCDT and find that the practices are: a) unevenly implemented among the five dimensions of GSCM; b) highly reliant on top management to coordinate internal coordination among organizational units; c) more intensive in manufacturing operations with large suppliers; and d) implemented at a higher level for external practices than for internal practices. Our research findings contribute to academic knowledge by unraveling critical factors that affect the digital transformation process in GSCM and managerial insights by identifying pathways for the successful adoption of GSCDT practices.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, July 2023, v. 175, 103145en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2023-07-
dc.identifier.scopus2-s2.0-85159418786-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn103145en_US
dc.description.validate202409 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera3166, a3562-
dc.identifier.SubFormID49718, 50369-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China (72221001, 72192833/72192830, 72088101, 72102036)en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-07-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2026-07-31
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

40
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

103
Citations as of Dec 19, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.