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Rating Risks in Robotic Process Automation (RPA) Projects: An Expert Assessment Using an Impact-Uncontrollability Matrix
Open accessAbstract
This research paper explores the risks associated with Robotic Process Automation (RPA) projects, with a focus on the impact of disregarding key factors that affect project success. While previous studies have identified challenges and success factors for RPA projects, there is a lack of research that systematically and quantitatively evaluates these factors. To address this gap, the study uses a two-dimensional matrix to rate the impact and controllability of such risks associated with key factors in RPA projects, with data collected from 20 subject matter experts. The findings suggest that project managers should pay close attention to RPA development and process management. The high controllability ratings imply that proper planning and execution can effectively manage the identified risks. The study offers valuable insights into risk assessment for RPA projects and can assist project managers in increasing project success rates.
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References 23 · Cited by 11
Research works printed but not linked: 24
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Metadata
- Authors
- Schlegel, D., Fundanovic, O., & Kraus, P.
- Affiliations
- Reutlingen University (DE)
- Pforzheim University of Applied Sciences (DE)
- Corresponding author
- Schlegel, Dennis
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2024
- Volume
- 239
- Pages
- 185-192
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W4401020897
- Cited by
- 11
- References
- 23
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 2
- FWCI
- 5.40
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by)
- Reutlingen University Academic Bibliography (Reutlingen University) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Robotic Process Automation Applications
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Business, Management and Accounting › Management Information Systems › Business Process Modeling and Analysis
- Keywords
- robotic process automation, risk assessment, project success factors, process management, expert opinion, project management
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- Schlegel, D., Fundanovic, O., & Kraus, P. (2024). Rating Risks in Robotic Process Automation (RPA) Projects: An Expert Assessment Using an Impact-Uncontrollability Matrix. Procedia Computer Science. https://doi.org/10.1016/j.procs.2024.06.161
