IDEAS home Printed from https://ideas.repec.org/a/vrs/ecoman/v15y2023i4p90-103n1.html
   My bibliography  Save this article

Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends

Author

Listed:
  • Siderska Julia

    (1 Bialystok University of Technology, Poland)

  • Aunimo Lili

    (2 Haaga-Helia University of Applied Sciences, Finland)

  • Süße Thomas

    (3 Bielefeld University of Applied Sciences, Germany)

  • Stamm John von

    (4 RWTH Aachen University, Germany)

  • Kedziora Damian

    (5 Lappeenranta-Lahti University of Technology, Finland Kozminski University, Poland)

  • Aini Suraya Nabilah Binti Mohd

    (6 International Islamic University Malaysia, Malaysia)

Abstract

Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration offer great potential for the future of corporate automation and increased productivity. RPA rapidly evolves into Intelligent Process Automation (IPA) by incorporating advanced technologies and capabilities beyond simple task automation. The paper aims to identify the organisational, technological, and human-centred challenges that companies face in transitioning from RPA to IPA. The research process involved conducting the scientific literature search using the ResearchRabbit AI tool, which provided a set of reference papers relevant to the formulated research questions. As a result of the conducted literature review, the authors identified key challenges and possible countermeasures for companies transitioning from RPA to IPA. The resulting collection of reference scientific articles formed the basis for this study’s content and substantive analysis. Furthermore, this study contributes by identifying artificial intelligence techniques and algorithms, such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), predictive analytics, and others, that can be integrated with RPA to facilitate the transition to IPA. The paper also offers insights into potential future research areas.

Suggested Citation

  • Siderska Julia & Aunimo Lili & Süße Thomas & Stamm John von & Kedziora Damian & Aini Suraya Nabilah Binti Mohd, 2023. "Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends," Engineering Management in Production and Services, Sciendo, vol. 15(4), pages 90-103, December.
  • Handle: RePEc:vrs:ecoman:v:15:y:2023:i:4:p:90-103:n:1
    DOI: 10.2478/emj-2023-0030
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/emj-2023-0030
    Download Restriction: no

    File URL: https://libkey.io/10.2478/emj-2023-0030?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
    ---><---

    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:vrs:ecoman:v:15:y:2023:i:4:p:90-103:n:1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.