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API as Method for Improving Robotic Process Automation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F22%3A00010087" target="_blank" >RIV/46747885:24310/22:00010087 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-16168-1_17" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-16168-1_17</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    API as Method for Improving Robotic Process Automation

  • Original language description

    Robotic process automation has been maturing with significant speed and organizations that started using RPA during the past years now automate the “low AQ1 hanging fruit” with the best return on investment. The organizations strive to utilize RPA to get a higher value. However, the deployment of RPA on multiple processes is complex and demanding in terms of costs and resources. In this research, we focused on the reduction of the RPA bot duration by using the applications’ API in the RPA automation.We compared the duration of RPA bots on three processes. The three processes were automated with RPA technology via GUI and also via API. The results indisputably show that using API in RPA automation has a positive impact on its duration. RPA bot using API was, in some cases, ten times faster than RPA bot using GUI. The average duration change of using API against GUI was in the interval from 84.01% to 91.87%. This change shows the enormous acceleration of RPA bot and the impactful benefits of the use of API in RPA automation of processes.We may thus conclude that API is a good complement to RPA automation. RPA developers and RPA architects should use API when it is possible for better utilization of RPA robots.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Business Information Processing

  • ISBN

  • ISSN

    1865-1348

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    260-273

  • Publisher name

    Springer Nature Switzerland AG 2022

  • Place of publication

    Cham

  • Event location

    Münster

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000878116300017