Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation

Daehyoun Choi, Hind R’bigui and Chiwoon Cho
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Daehyoun Choi: School of Industrial Engineering, University of Ulsan, Ulsan 44610, Korea
Hind R’bigui: Digital Enterprise Department, Nsoft Co. Ltd, No.407, 14, Tekeunosaneop-ro 55beon-gil, Nam-gu, Ulsan 44776, Korea
Chiwoon Cho: School of Industrial Engineering, University of Ulsan, Ulsan 44610, Korea

Sustainability, 2021, vol. 13, issue 16, 1-18

Abstract: Today’s business environments face rapid digital transformation, engendering the continuous emerging of new technologies. Robotic Process Automation (RPA) is one of the new technologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasks by providing a virtual workforce, or digital workers in the form of software bots, for automating manual, high-volume, repetitive, and routine tasks. The goal is to allow human workers to delegate their tedious routine tasks to a software bot, thus allowing them to focus on more difficult tasks. RPA tools are simple and very powerful, according to cost-saving and other performance metrics. However, the main challenge of RPA implementation is to effectively determine the business tasks suitable for automation. This paper provides a methodology for selecting candidate tasks for robotic process automation based on user interface logs and process mining techniques.

Keywords: RPA; robotic process automation; software robots; process mining; task mining; event log; user interface log; knowledge discovery; digital workforce; digital transformation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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