IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-030-92644-1_12.html
   My bibliography  Save this book chapter

What Can Public Sector Organizations Learn from Private Sector Experiences of Robotic Process Automation?

In: Service Automation in the Public Sector

Author

Listed:
  • Aleksandre Asatiani

    (Swedish Center for Digital Innovation, University of Gothenburg)

Abstract

Robotic process automation (RPA) has transformed from a promising technology to an integral part of the business process automation toolkit. While there is a wealth of experience with RPA in the private sector organizations, public sector counterparts started to deploy the technology on scale only recently. Being a latecomer gives the public sector the benefit of hindsight, as it can learn from the experiences of private sector organizations and avoid some of the same mistakes. This chapter discusses four lessons learned from private sector that are relevant to public sector organizations: (1) RPA is easier to start than to scale; (2) RPA requires long-term thinking; (3) RPA is not all about FTEs; and (4) RPA comes with accountability concerns.

Suggested Citation

  • Aleksandre Asatiani, 2022. "What Can Public Sector Organizations Learn from Private Sector Experiences of Robotic Process Automation?," Progress in IS, in: Gustaf Juell-Skielse & Ida Lindgren & Maria Ã…kesson (ed.), Service Automation in the Public Sector, pages 219-227, Springer.
  • Handle: RePEc:spr:prochp:978-3-030-92644-1_12
    DOI: 10.1007/978-3-030-92644-1_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Saheb, Tahereh & Saheb, Tayebeh, 2023. "Topical review of artificial intelligence national policies: A mixed method analysis," Technology in Society, Elsevier, vol. 74(C).

    More about this item

    Statistics

    Access and download statistics

    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:prochp:978-3-030-92644-1_12. 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: 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.