Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112935
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Title: Unlocking the potential of robotic process automation for digital transformation in logistics and supply chain management
Authors: Tsang, YP 
Tang, V
Wu, CH
Li, F
Issue Date: Dec-2024
Source: Journal of global information management, Jan.-Dec. 2024, v. 32, no. 1, p. 1-24
Abstract: Digital 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.
Keywords: Digital Transformation
Innovation Resistance Theory
Logistics
Robotic Process Automation
Supply Chain Management
Publisher: IGI Global
Journal: Journal of global information management 
ISSN: 1062-7375
EISSN: 1533-7995
DOI: 10.4018/JGIM.361710
Rights: This 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.
The 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.
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