A framework for implementing robotic process automation projects

Lukas-Valentin Herm (), Christian Janiesch, Alexander Helm, Florian Imgrund, Adrian Hofmann and Axel Winkelmann
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Lukas-Valentin Herm: Julius-Maximilians-Universität Würzburg
Christian Janiesch: TU Dortmund University
Alexander Helm: Deutsche Post
Florian Imgrund: InnoBrain GmbH
Adrian Hofmann: Julius-Maximilians-Universität Würzburg
Axel Winkelmann: Julius-Maximilians-Universität Würzburg

Information Systems and e-Business Management, 2023, vol. 21, issue 1, No 1, 35 pages

Abstract: Abstract Robotic process automation is a disruptive technology to automate already digital yet manual tasks and subprocesses as well as whole business processes rapidly. In contrast to other process automation technologies, robotic process automation is lightweight and only accesses the presentation layer of IT systems to mimic human behavior. Due to the novelty of robotic process automation and the varying approaches when implementing the technology, there are reports that up to 50% of robotic process automation projects fail. To tackle this issue, we use a design science research approach to develop a framework for the implementation of robotic process automation projects. We analyzed 35 reports on real-life projects to derive a preliminary sequential model. Then, we performed multiple expert interviews and workshops to validate and refine our model. The result is a framework with variable stages that offers guidelines with enough flexibility to be applicable in complex and heterogeneous corporate environments as well as for small and medium-sized companies. It is structured by the three phases of initialization, implementation, and scaling. They comprise eleven stages relevant during a project and as a continuous cycle spanning individual projects. Together they structure how to manage knowledge and support processes for the execution of robotic process automation implementation projects.

Keywords: Robotic process automation; Implementation framework; Project management; Methodology; Interview study; Workshop (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10257-022-00553-8

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