IDEAS home Printed from https://ideas.repec.org/a/bit/bsrysr/v15y2024i1p67-90n1004.html
   My bibliography  Save this article

Simulation and Optimisation of Business Process Management: Case Study of IT Company

Author

Listed:
  • Serhiienko Olena

    (Department of Business, Trade and Logistics, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine)

  • Mashchenko Maryna

    (Department of Business, Trade and Logistics, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine)

  • Samorodov Borys

    (Department of Banking Business and Financial Technologies, V. N. Karazin Kharkiv National University, Kharkiv, Ukraine)

  • Babichev Anatoliy

    (Department of Management and Administration, V. N. Karazin Kharkiv National University, Kharkiv, Ukraine)

  • Klimenko Olena

    (Department of Public Administration and Political Economy, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine)

Abstract

Background In managing business processes of complex hierarchical systems, primary attention is given to analysing, accelerating, and optimising the basic processes typical for any company. Objectives The goal of this work is to prove that while managing business processes, it is crucial to consider the peculiarities of the external and internal environment to determine the effects of individual triggers. Method An example of business process analysis was provided regarding the peculiarities of managing IT service companies operating in a dynamic environment of rapid technological changes. The business processes analysis of IT service companies in Ukraine was conducted. Business process groups characterised by low use of labour and financial resources and excessive and high levels of risk management were determined. Results An algorithm for optimising the IT company’s business processes was developed. Simulation and optimisation models for managing IT company business processes were developed using scenario modelling and simulation techniques. Conclusion Based on these models, a predictive evaluation of management impacts on business processes was conducted, representing individual clusters according to defined management strategies.

Suggested Citation

  • Serhiienko Olena & Mashchenko Maryna & Samorodov Borys & Babichev Anatoliy & Klimenko Olena, 2024. "Simulation and Optimisation of Business Process Management: Case Study of IT Company," Business Systems Research, Sciendo, vol. 15(1), pages 67-90.
  • Handle: RePEc:bit:bsrysr:v:15:y:2024:i:1:p:67-90:n:1004
    DOI: 10.2478/bsrj-2024-0004
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/bsrj-2024-0004
    Download Restriction: no

    File URL: https://libkey.io/10.2478/bsrj-2024-0004?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:bit:bsrysr:v:15:y:2024:i:1:p:67-90:n:1004. 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.