Robotic Process Automation — a driver of digital transformation?

Siderska Julia ()
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Siderska Julia: Bialystok University of Technology, Poland

Engineering Management in Production and Services, 2020, vol. 12, issue 2, 21-31

Abstract: The paper introduces Robotic Process Automation (RPA), which is an emerging and cutting-edge conception of business processes automation, based on the notion of software robots or artificial intelligence workers. The paper is conceptual as it discusses the fundamentals behind this idea, synthesises the knowledge of technology, and presents it in a new context. It is based on the author's considerations and the literature review, which contributes to the insight into the basic understanding of RPA technology as well as systematises and clarifies RPA definitions, identifies market trends, formulates a set of predictions for further development of this technology, and highlights directions for future inquiry. Additionally, logical arguments are proposed for considering RPA as a technology that enables and advances digital transformation. Moreover, criteria are indicated for business processes suitable for RPA. Nowadays, the robotisation of business processes a s innovative technology is more often practically implemented than it is investigated by research. Published papers outline real examples of implemented cases of RPA technology in organisations that mainly represent service industries. These case studies allow identifying possible advantages and risks derived from RPA implementation. Recent studies also report benefits of the RPA application in terms of productivity, costs, service quality, and error reduction. Some authors propose the criteria for selecting processes suitable for automation and robotisation. This paper constitutes a foundation for new research aimed at filling knowledge gaps in this area. Responding to the call by van der Aalst, academic discourse on RPA must be initiated.

Keywords: Robotic Process Automation; RPA; digital transformation; software robots; digital technologies; artificial intelligence (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:ecoman:v:12:y:2020:i:2:p:21-31:n:2

DOI: 10.2478/emj-2020-0009

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