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Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Daehyoun Choi & Hind R’bigui & Chiwoon Cho, 2021. "Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8980-:d:612465
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    References listed on IDEAS

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    1. Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
    2. Wil van der Aalst & Kees van Hee, 2004. "Workflow Management: Models, Methods, and Systems," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262720469, December.
    3. Wil M. P. Aalst & Martin Bichler & Armin Heinzl, 2018. "Robotic Process Automation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(4), pages 269-272, August.
    4. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75002, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Julia Siderska, 2021. "The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    6. Christian Matt & Thomas Hess & Alexander Benlian, 2015. "Digital Transformation Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 339-343, October.
    7. Volodymyr Leno & Artem Polyvyanyy & Marlon Dumas & Marcello La Rosa & Fabrizio Maria Maggi, 2021. "Robotic Process Mining: Vision and Challenges," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(3), pages 301-314, June.
    8. Werner, Michael & Wiese, Michael & Maas, Annalouise, 2021. "Embedding process mining into financial statement audits," International Journal of Accounting Information Systems, Elsevier, vol. 41(C).
    9. Mario COCCIA, 2017. "Disruptive firms and industrial change," Journal of Economic and Social Thought, KSP Journals, vol. 4(4), pages 437-450, December.
    10. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75202, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    1. Viorel-Costin Banta & Alin Banta & Sabin Alexandru Babeanu, 2023. "The Implications of Robotic Process Automation in the Automation of Economic Processes: A Case Study of Fruit Processing Factory," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 108-114, March.
    2. Costa Diogo António da Silva & Mamede Henrique São & Mira da Silva Miguel, 2022. "Robotic Process Automation (RPA) Adoption: A Systematic Literature Review," Engineering Management in Production and Services, Sciendo, vol. 14(2), pages 1-12, June.

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