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The Future of business process management: robotic process automation

With increasing globalisation, organisations are confronted with intensifying market competition. Consequently, organisations continually implement novel technologies to address the challenges posed by market competition. In business process management (BPM), robotic process automation (RPA) is rega...

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Main Authors: Liao, Han, Dalbir Singh,, Ma, Jiqiao, Hu, Xuting
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:http://journalarticle.ukm.my/23996/1/93%20-%20104.pdf
http://journalarticle.ukm.my/23996/
https://www.ukm.my/apjitm
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spelling my-ukm.journal.239962024-08-12T03:46:24Z http://journalarticle.ukm.my/23996/ The Future of business process management: robotic process automation Liao, Han Dalbir Singh, Ma, Jiqiao Hu, Xuting With increasing globalisation, organisations are confronted with intensifying market competition. Consequently, organisations continually implement novel technologies to address the challenges posed by market competition. In business process management (BPM), robotic process automation (RPA) is regarded as a tool or methodology that can automate specific tasks or activities within a business process. RPA is widely employed as a standard solution in various industries to assist enterprises in automating their processes, enhancing their operational efficiency, and reducing operational costs. Nevertheless, it is prudent to consider which processes can be automated by applying RPA and the most appropriate deployment methods for RPA. A literature review reveals that process identification is the optimal method for identifying processes suitable for automation, and three approaches - process mining, process quality-based and interview-based can be considered. There are three principal models for deploying RPA: local, cloud and hybrid. The RPA managers in an organisation are thus able to select the most appropriate deployment option based on the organisation's policies, requirements, and cost considerations. Furthermore, this study identifies the critical success factors (CSFs) and analyses their relationships using a 'why-why' diagram. This study could assist organisations in a more comprehensive understanding of RPA technology, which enables more effective utilisation of RPA for enhanced process management. Penerbit Universiti Kebangsaan Malaysia 2024-06-01 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/23996/1/93%20-%20104.pdf Liao, Han and Dalbir Singh, and Ma, Jiqiao and Hu, Xuting (2024) The Future of business process management: robotic process automation. Asia-Pacific Journal of Information Technology and Multimedia, 13 (1). pp. 93-104. ISSN 2289-2192 https://www.ukm.my/apjitm
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description With increasing globalisation, organisations are confronted with intensifying market competition. Consequently, organisations continually implement novel technologies to address the challenges posed by market competition. In business process management (BPM), robotic process automation (RPA) is regarded as a tool or methodology that can automate specific tasks or activities within a business process. RPA is widely employed as a standard solution in various industries to assist enterprises in automating their processes, enhancing their operational efficiency, and reducing operational costs. Nevertheless, it is prudent to consider which processes can be automated by applying RPA and the most appropriate deployment methods for RPA. A literature review reveals that process identification is the optimal method for identifying processes suitable for automation, and three approaches - process mining, process quality-based and interview-based can be considered. There are three principal models for deploying RPA: local, cloud and hybrid. The RPA managers in an organisation are thus able to select the most appropriate deployment option based on the organisation's policies, requirements, and cost considerations. Furthermore, this study identifies the critical success factors (CSFs) and analyses their relationships using a 'why-why' diagram. This study could assist organisations in a more comprehensive understanding of RPA technology, which enables more effective utilisation of RPA for enhanced process management.
format Article
author Liao, Han
Dalbir Singh,
Ma, Jiqiao
Hu, Xuting
spellingShingle Liao, Han
Dalbir Singh,
Ma, Jiqiao
Hu, Xuting
The Future of business process management: robotic process automation
author_facet Liao, Han
Dalbir Singh,
Ma, Jiqiao
Hu, Xuting
author_sort Liao, Han
title The Future of business process management: robotic process automation
title_short The Future of business process management: robotic process automation
title_full The Future of business process management: robotic process automation
title_fullStr The Future of business process management: robotic process automation
title_full_unstemmed The Future of business process management: robotic process automation
title_sort future of business process management: robotic process automation
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2024
url http://journalarticle.ukm.my/23996/1/93%20-%20104.pdf
http://journalarticle.ukm.my/23996/
https://www.ukm.my/apjitm
_version_ 1809139043252830208
score 13.211869

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