IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v21y2023i2d10.1007_s10257-022-00602-2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-022-00602-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10257-022-00602-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Syaiful Anwar Mohamed & Moamin A. Mahmoud & Mohammed Najah Mahdi & Salama A. Mostafa, 2022. "Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    2. Uklańska Anna, 2023. "Robotic Process Automation (RPA) – Bibliometric Analysis and Literature Review," Foundations of Management, Sciendo, vol. 15(1), pages 129-140, January.
    3. Bavaresco, Rodrigo Simon & Nesi, Luan Carlos & Victória Barbosa, Jorge Luis & Antunes, Rodolfo Stoffel & da Rosa Righi, Rodrigo & da Costa, Cristiano André & Vanzin, Mariangela & Dornelles, Daniel & J, 2023. "Machine learning-based automation of accounting services: An exploratory case study," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    4. Krakau, Jan & Feldmann, Carsten & Kaupe, Victor, 2021. "Robotic process automation in logistics: Implementation model and factors of success," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 219-256, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Emilio Abad-Segura & Mariana-Daniela González-Zamar, 2020. "Research Analysis on Emerging Technologies in Corporate Accounting," Mathematics, MDPI, vol. 8(9), pages 1-29, September.
    6. 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.
    7. Perdana, Arif & Lee, W. Eric & Mui Kim, Chu, 2023. "Prototyping and implementing Robotic Process Automation in accounting firms: Benefits, challenges and opportunities to audit automation," International Journal of Accounting Information Systems, Elsevier, vol. 51(C).
    8. Swen Nadkarni & Reinhard Prügl, 2021. "Digital transformation: a review, synthesis and opportunities for future research," Management Review Quarterly, Springer, vol. 71(2), pages 233-341, April.
    9. Kibaek Lee & Jaeheung Yoo & Munkee Choi & Hangjung Zo & Andrew P Ciganek, 2016. "Does External Knowledge Sourcing Enhance Market Performance? Evidence from the Korean Manufacturing Industry," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-19, December.
    10. Panagiotis Trivellas & Georgios Malindretos & Panagiotis Reklitis, 2020. "Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    11. Jiatong Yu & Jiajue Wang & Taesoo Moon, 2022. "Influence of Digital Transformation Capability on Operational Performance," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    12. Chinho Lin & Ming-Lung Hsu & David C. Yen & Ping-Jung Hsieh & Hua-Ling Tsai & Tsung-Hsien Kuo, 2013. "Prototype system for pursuing firm’s core capability," Information Systems Frontiers, Springer, vol. 15(3), pages 497-509, July.
    13. Chin‐jung Luan & Chengli Tien & Pei‐hua Wu, 2013. "Strategizing Environmental Policy and Compliance for Firm Economic Sustainability: Evidence from Taiwanese Electronics Firms," Business Strategy and the Environment, Wiley Blackwell, vol. 22(8), pages 517-546, December.
    14. Adrian Gourlay & Jonathan Seaton, 2004. "The determinants of firm diversification in UK quoted companies," Applied Economics, Taylor & Francis Journals, vol. 36(18), pages 2059-2071.
    15. John A. Parnell, 2017. "Cronyism from the Perspective of the Firm: A Cross-National Assessment of Nonmarket Strategy," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 32(Fall 2017), pages 47-74.
    16. Abiodun Tope Samson, 2015. "The Impact of Entrepreneurial Orientation, Reconfiguring Capability and Moderation of Environmental Turbulence on Export Performance of SMEs in Nigeria," Journal of Economics and Behavioral Studies, AMH International, vol. 7(3), pages 76-87.
    17. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    18. Baldwin, Carliss Y. & Bogers, Marcel L.A.M. & Kapoor, Rahul & West, Joel, 2024. "Focusing the ecosystem lens on innovation studies," Research Policy, Elsevier, vol. 53(3).
    19. Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.
    20. Filippo Carlo Wezel & Gino Cattani & Johannes M. Pennings, 2006. "Competitive Implications of Interfirm Mobility," Organization Science, INFORMS, vol. 17(6), pages 691-709, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infsem:v:21:y:2023:i:2:d:10.1007_s10257-022-00602-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.