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The performance assessment framework (PPAFR) for RPA implementation in a loan application process using process mining

Author

Listed:
  • Roman Šperka

    (School of Business Administration in Karvina, Silesian University in Opava)

  • Michal Halaška

    (School of Business Administration in Karvina, Silesian University in Opava)

Abstract

When a company decides to automate its business processes by means of RPA (Robotic Process Automation), there are two fundamental questions that need to be answered. Firstly, what activities should the company automate and what characteristics make them suitable for RPA. The aim of the presented research is to design and demonstrate a data-driven performance framework assessing the impact of RPA implementation using process mining (PPAFR). Firstly, we comment on and summarise existing trends in process mining and RPA. Secondly, we describe research objectives and methods following the Design Science Research Methodology. Then, we identify critical factors for RPA implementation and design process stages of PPAFR. We demonstrate the design on real data from a loan application process. The demonstration consists of a process discovery using process mining methods, process analysis, and process simulation with assessment of RPA candidates. Based on the research results, a redesign of the process is proposed with emphasis on RPA implementation. Finally, we discuss the usefulness of PPAFR by helping companies to identify potentially suitable activities for RPA implementation and not overestimating potential gains. Obtained results show that within the loan application process, waiting times are the main causes of extended cases. If the waiting times are generated internally, it will be much easier for the company to address them. If the automation is focused mainly on processing times, the impact of automation on the overall performance of the process is insignificant or very low. Moreover, the research identified several characteristics which have to be considered when implementing RPA due to the impact on the overall performance of the process.

Suggested Citation

  • Roman Šperka & Michal Halaška, 2023. "The performance assessment framework (PPAFR) for RPA implementation in a loan application process using process mining," Information Systems and e-Business Management, Springer, vol. 21(2), pages 277-321, June.
    • Handle: RePEc:spr:infsem:v:21:y:2023:i:2:d:10.1007_s10257-022-00602-2
    DOI: 10.1007/s10257-022-00602-2
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    References listed on IDEAS

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    1. Škrinjar, Rok & Trkman, Peter, 2013. "Increasing process orientation with business process management: Critical practices’," International Journal of Information Management, Elsevier, vol. 33(1), pages 48-60.
    2. Lacity, Mary C. & Willcocks, Leslie P., 2016. "A new approach to automating services," LSE Research Online Documents on Economics 68135, London School of Economics and Political Science, LSE Library.
    3. Jan Brocke & Marie-Sophie Baier & Theresa Schmiedel & Katharina Stelzl & Maximilian Röglinger & Charlotte Wehking, 2021. "Context-Aware Business Process Management," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 533-550, October.
    4. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    5. Huang, Feiqi & Vasarhelyi, Miklos A., 2019. "Applying robotic process automation (RPA) in auditing: A framework," International Journal of Accounting Information Systems, Elsevier, vol. 35(C).
    6. Kokina, Julia & Blanchette, Shay, 2019. "Early evidence of digital labor in accounting: Innovation with Robotic Process Automation," International Journal of Accounting Information Systems, Elsevier, vol. 35(C).
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