Deciding on the robotic process automation operating model: A checklist for RPA managers

Robotic process automation (RPA) has emerged as a technology promising various quick wins: fast deployment, immediate efficiency gains, and low investment requirements. While these promises have resulted in large-scale deployment of RPA in diverse industries, the choice of operating model remains tr...

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Bibliographic Details
Published in:Business horizons 2023-01, Vol.66 (1), p.109-121
Main Authors: Asatiani, Aleksandre, Copeland, Olli, Penttinen, Esko
Format: Article
Language:English
Subjects:
Business Administration
Cloud deployment
Computer and Information Science
Data- och informationsvetenskap
Economics and Business
Ekonomi och näringsliv
Företagsekonomi
Information Science
Open-source software
Robotic process automation
Robotic process automation (RPA) Operating model Organizational deployment Sourcing Cloud
RPA deployment
Software robots
Systemvetenskap
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Summary:Robotic process automation (RPA) has emerged as a technology promising various quick wins: fast deployment, immediate efficiency gains, and low investment requirements. While these promises have resulted in large-scale deployment of RPA in diverse industries, the choice of operating model remains tricky. This article identifies three key decisions for RPA managers: (1) the who decision, pertaining to selection of internal versus external resources for RPA development; (2) the how decision, on whether the organization will pursue RPA deployment on-premises or through the cloud; and (3) the what decision, on whether to employ proprietary RPA tools or an open-source solution. To shed light on how these decisions are made and to pinpoint their interdependencies, seven organizations’ choices connected with these three decisions are presented. The study’s main contribution is a decision checklist that can facilitate RPA managers’ navigation of the decision-making process, their gathering of relevant information, and their choice of the model best matching the organization’s needs.
ISSN:0007-6813
1873-6068
DOI:10.1016/j.bushor.2022.03.004