Unlocking the Potential of Robotic Process Automation for Digital Transformation in Logistics and Supply Chain Management

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.

Authors

Institutions

Publication Details

Journal
Journal of Global Information Management
Published
2024-11-29
DOI
https://doi.org/10.4018/jgim.361710
Citations
12
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
4.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unlocking the Potential of Robotic Process Automation for Digital Transformation in Logistics and Supply Chain Management

Yung Po Tsang, LI Fu-qing, C.H. Wu, Valerie Tang
12 citations
Journal of Global Information Management
Robotic Process Automation Applications
4.19
article

Unlocking the Potential of Robotic Process Automation for Digital Transformation in Logistics and Supply Chain Management

Yung Po Tsang, LI Fu-qing, C.H. Wu, Valerie Tang
article en
12 citations

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.

Journal of Global Information ManagementVol. 32(1)
Hong Kong Polytechnic University (HK), Xiangtan University (CN), Hang Seng University of Hong Kong (HK), University of Hong Kong (HK)
Openalex Percentile: Top 6%
Robotic Process Automation Applications
4.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Unlocking the Potential of Robotic Process Automation for Digital Transformation in Logistics and Supply Chain Management — Yung Po Tsang, LI Fu-qing, et al. · Journal of Global Information Management (2024) | TGRS Research Map | TGRS