IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v63y2021i3d10.1007_s12599-020-00641-4.html
   My bibliography  Save this article

Robotic Process Mining: Vision and Challenges

Author

Listed:
  • Volodymyr Leno

    (University of Melbourne)

  • Artem Polyvyanyy

    (University of Melbourne)

  • Marlon Dumas

    (University of Tartu)

  • Marcello La Rosa

    (University of Melbourne)

  • Fabrizio Maria Maggi

    (University of Tartu)

Abstract

Robotic process automation (RPA) is an emerging technology that allows organizations automating repetitive clerical tasks by executing scripts that encode sequences of fine-grained interactions with Web and desktop applications. Examples of clerical tasks include opening a file, selecting a field in a Web form or a cell in a spreadsheet, and copy-pasting data across fields or cells. Given that RPA can automate a wide range of routines, this raises the question of which routines should be automated in the first place. This paper presents a vision towards a family of techniques, termed robotic process mining (RPM), aimed at filling this gap. The core idea of RPM is that repetitive routines amenable for automation can be discovered from logs of interactions between workers and Web and desktop applications, also known as user interactions (UI) logs. The paper defines a set of basic concepts underpinning RPM and presents a pipeline of processing steps that would allow an RPM tool to generate RPA scripts from UI logs. The paper also discusses research challenges to realize the envisioned pipeline.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:binfse:v:63:y:2021:i:3:d:10.1007_s12599-020-00641-4
    DOI: 10.1007/s12599-020-00641-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-020-00641-4
    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/s12599-020-00641-4?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. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    2. 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.
    3. Niels Martin & Benoît Depaire & An Caris, 2016. "The Use of Process Mining in Business Process Simulation Model Construction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 73-87, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. Kristina Rosenthal & Benjamin Ternes & Stefan Strecker, 2021. "Business Process Simulation on Procedural Graphical Process Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 569-602, October.
    2. Niels Martin & Dominik A. Fischer & Georgi D. Kerpedzhiev & Kanika Goel & Sander J. J. Leemans & Maximilian Röglinger & Wil M. P. van der Aalst & Marlon Dumas & Marcello La Rosa & Moe T. Wynn, 2021. "Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 511-527, October.
    3. Rong Liu & Akhil Kumar & Juhnyoung Lee, 2022. "Multi-level Team Assignment in Social Business Processes: An Algorithm and Simulation Study," Information Systems Frontiers, Springer, vol. 24(6), pages 1949-1969, December.
    4. Brougham, David & Haar, Jarrod, 2020. "Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. Balwant Singh Mehta & Ishwar Awasthi & Nidhi Mehta, 2021. "Women’s Employment and Digital Technology: A Regional Analysis in India," Indian Journal of Human Development, , vol. 15(3), pages 427-442, December.
    6. Federico A. Lievano-Martínez & Javier D. Fernández-Ledesma & Daniel Burgos & John W. Branch-Bedoya & Jovani A. Jimenez-Builes, 2022. "Intelligent Process Automation: An Application in Manufacturing Industry," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    7. Natalia Shmatko & Galina Volkova, 2020. "Bridging the Skill Gap in Robotics: Global and National Environment," SAGE Open, , vol. 10(3), pages 21582440209, September.
    8. Katarzyna Jasińska, 2021. "The Digital Chasm between an Idea and Its Implementation in Industry 4.0—The Case Study of a Polish Service Company," Sustainability, MDPI, vol. 13(16), pages 1-31, August.
    9. Wagner, Dirk Nicolas, 2020. "The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm," Telecommunications Policy, Elsevier, vol. 44(6).
    10. Peter Hofmann & Caroline Samp & Nils Urbach, 2020. "Robotic process automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 99-106, March.
    11. 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.
    12. Plattfaut, Ralf & Koch, Julian, 2021. "Preserving the legacy – Why do professional soccer clubs (not) adopt innovative process technologies? A grounded theory study," Journal of Business Research, Elsevier, vol. 136(C), pages 237-250.
    13. Lee, Dasom & Hess, David J., 2020. "Regulations for on-road testing of connected and automated vehicles: Assessing the potential for global safety harmonization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 85-98.
    14. Georgi Dimov Kerpedzhiev & Ulrich Matthias König & Maximilian Röglinger & Michael Rosemann, 2021. "An Exploration into Future Business Process Management Capabilities in View of Digitalization," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 83-96, April.
    15. 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.

    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:binfse:v:63:y:2021:i:3:d:10.1007_s12599-020-00641-4. 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.