Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112935
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorTsang, YP-
dc.creatorTang, V-
dc.creatorWu, CH-
dc.creatorLi, F-
dc.date.accessioned2025-05-15T06:59:06Z-
dc.date.available2025-05-15T06:59:06Z-
dc.identifier.issn1062-7375-
dc.identifier.urihttp://hdl.handle.net/10397/112935-
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.rightsThis article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited.en_US
dc.rightsThe following publication Tsang, Y. P., Tang, V., Wu, C. H., & Li, F. (2024). Unlocking the Potential of Robotic Process Automation for Digital Transformation in Logistics and Supply Chain Management. Journal of Global Information Management (JGIM), 32(1), 1-24 is available at https://dx.doi.org/10.4018/JGIM.361710.en_US
dc.subjectDigital Transformationen_US
dc.subjectInnovation Resistance Theoryen_US
dc.subjectLogisticsen_US
dc.subjectRobotic Process Automationen_US
dc.subjectSupply Chain Managementen_US
dc.titleUnlocking the potential of robotic process automation for digital transformation in logistics and supply chain managementen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage24-
dc.identifier.volume32-
dc.identifier.issue1-
dc.identifier.doi10.4018/JGIM.361710-
dcterms.abstractDigital transformation (DT) and automation technologies have significantly impacted logistics and supply chain management (LSCM), enhancing business performance. Efforts to automate processes alongside machine and robotic automation aim to improve reliability, consistency, efficiency, and cost-effectiveness. While existing research has explored specific aspects of DT and robotic process automation (RPA), the deployment and implementation of RPA as a service (RPAaaS) in LSCM are under-explored. This study focuses on RPA in LSCM and aims to improve organisational processes associated with DT. A systematic review identifies five knowledge clusters regarding RPA deployment for DT in LSCM. Real-life RPA implementation cases in a third-party logistics company highlight challenges and opportunities related to RPA deployment. Insights on the timing and choice of the RPAaaS platform to facilitate DT in enterprises are discussed. This paper provides extensive theoretical insights into RPA for DT in LSCM and offers practical guidance for streamlined implementation.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of global information management, Jan.-Dec. 2024, v. 32, no. 1, p. 1-24-
dcterms.isPartOfJournal of global information management-
dcterms.issued2024-12-
dc.identifier.scopus2-s2.0-85211716566-
dc.identifier.eissn1533-7995-
dc.description.validate202505 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.fundingText.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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