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Robotic Process Automation in Small Enterprises: An Investigation into Application Potential
University of Rostock, Albert-Einstein-Str. 22, Rostock, 18059, Germany.
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Rostock, Albert-Einstein-Str. 22, Rostock, 18059, Germany.ORCID iD: 0000-0002-7431-8412
2023 (English)In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, Vol. 2023, no 34, p. 84-105, article id 190Article in journal (Refereed) Published
Abstract [en]

Substantial application potential in enterprises is commonly attributed to Robotic Process Automation (RPA). This potential encompasses automation of routine tasks, improvement of data quality, improvement of process stability, or reduction of monotonous tasks. However, our observation from projects with enterprises is that this potential is visible in bigger companies, but not so obvious in small and medium-sized enterprises (SMEs). SMEs often show a lower readiness to invest time and resources in new technologies and, thus, hesitate to explore new technology applications unless they see a clear business case. This article investigates the application potential of RPA in SMEs by trying to identify typical application scenarios with potentially high benefits that SMEs should focus on. The application potential is primarily addressed from a qualitative perspective, i.e., the aim is not to quantify the potential but to qualify the application fields. The contributions of this article are (1) a structured literature review of the state of RPA use in SMEs, (2) RPA application scenarios visible in the literature and functionality of RPA platforms to support these scenarios, and (3) experiences from implementing three SME-focused use cases with off-the-shelf RPA tools and a concluding evaluation by experts.

Place, publisher, year, edition, pages
Riga Technical University , 2023. Vol. 2023, no 34, p. 84-105, article id 190
Keywords [en]
Application Potential, Robotic Process Automation, RPA, Small and Medium-Sized Enterprises, SME
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-62347DOI: 10.7250/csimq.2023-34.04Scopus ID: 2-s2.0-85167975923Local ID: POA;;900534OAI: oai:DiVA.org:hj-62347DiVA, id: diva2:1792802
Available from: 2023-08-30 Created: 2023-08-30 Last updated: 2023-08-30Bibliographically approved

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