The Future of business process management: robotic process automation

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

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Abstract

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.

Item Type:Article
Keywords:BPM; RPA; Process identification; Deployment option; CSFs
Journal:Asia - Pasific Journal of Information Technology and Multimedia (Formerly Jurnal Teknologi Maklumat dan Multimedia)
ID Code:23996
Deposited By: Mr. Mohd Zukhairi Abdullah
Deposited On:09 Aug 2024 07:52
Last Modified:12 Aug 2024 03:46

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