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
    ---><---

    References listed on IDEAS

    as
    1. Bogdan Alexandru Brumar, 2010. "Modeling and simulation of economic processes," Studies and Scientific Researches. Economics Edition, "Vasile Alecsandri" University of Bacau, Faculty of Economic Sciences, issue 15.
    2. Alaa Shoukry & Jameel Khader & Showkat Gani, 2021. "Improving business process and functionality using IoT based E3-value business model," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 17-26, March.
    3. Kanika Goel & Wasana Bandara & Guy Gable, 2021. "A Typology of Business Process Standardization Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(6), pages 621-635, December.
    4. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    Full references (including those not matched with items on IDEAS)

    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. Alexander Schiersch & Irene Bertschek & Thomas Niebel, 2023. "Diversify or Not? – The Link between Global Sourcing of ICT Goods and Firm Performance," Discussion Papers of DIW Berlin 2043, DIW Berlin, German Institute for Economic Research.
    2. Schubert, Torben & Ashouri, Sajad & Deschryvere, Matthias & Jäger, Angela & Visentin, Fabiana & Cunningham, Scott & Hajikhani, Arash & Pukelis, Lukas & Suominen, Arho, 2023. "The role of product digitization for productivity," MERIT Working Papers 2023-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
    4. Yasushi Ueki & Masatsugu Tsuji & Nuchjarin Intalar & Somrote Komolavanij, 2023. "Effects of Quality Control Activities and Customers’ ICT Investment on Digitalization in Manufacturing Firms in Southeast Asia," The Review of Socionetwork Strategies, Springer, vol. 17(1), pages 25-53, April.
    5. Paramonova, Svetlana & Nehler, Therese & Thollander, Patrik, 2021. "Technological change or process innovation – An empirical study of implemented energy efficiency measures from a Swedish industrial voluntary agreements program," Energy Policy, Elsevier, vol. 156(C).
    6. Kanika Goel & Wasana Bandara & Guy Gable, 2023. "Conceptualizing Business Process Standardization: A Review and Synthesis," Schmalenbach Journal of Business Research, Springer, vol. 75(2), pages 195-237, June.
    7. Graziela Molling & Amarolinda Zanela Klein, 2022. "Value proposition of IoT-based products and services: a framework proposal," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 899-926, June.
    8. Gunasekaran Manogaran & Naveen Chilamkurti & Ching-Hsien Hsu, 2021. "Internet of Things for Electronic Markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 13-15, March.
    9. Johannes Hofmeister & Dominik K. Kanbach & Jens Hogreve, 2024. "Service productivity: a systematic review of a dispersed research area," Management Review Quarterly, Springer, vol. 74(3), pages 1249-1281, September.
    10. Tobias Wuttke & Thomas Haskamp & Michael Perscheid & Falk Uebernickel, 2024. "Building the Processes Behind the Product: How Digital Ventures Create Business Processes That Support Their Growth," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 565-583, October.
    11. Axenbeck, Janna & Breithaupt, Patrick, 2022. "Measuring the digitalisation of firms: A novel text mining approach," ZEW Discussion Papers 22-065, ZEW - Leibniz Centre for European Economic Research.
    12. Arfah Habib Saragih & Syaiful Ali, 2023. "Corporate tax risk: a literature review and future research directions," Management Review Quarterly, Springer, vol. 73(2), pages 527-577, June.
    13. Zhu, Minglei & Huang, Haiyan & Ma, Weiwen, 2023. "Transformation of natural resource use: Moving towards sustainability through ICT-based improvements in green total factor energy efficiency," Resources Policy, Elsevier, vol. 80(C).
    14. Khanna, Rupika & Sharma, Chandan, 2024. "Beyond information technology and productivity paradox: Analysing the channels of impact at the firm-level," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    15. Yu Zhu & Feng Yang & Bengang Gong & Wei Zeng, 2023. "RETRACTED ARTICLE: Assessing the efficiency of innovation entities in China: evidence from a nonhomogeneous data envelopment analysis and Tobit," Electronic Commerce Research, Springer, vol. 23(1), pages 175-205, March.

    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.

    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: 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.