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Devising approaches to modeling enterprise business processes under conditions of modern digital technologies

Author

Listed:
  • Olena Arefieva

    (National Aviation University)

  • Zarina Poberezhna

    (National Aviation University)

  • Svitlana Petrovska

    (National Aviation University)

  • Serhii Arefiev

    (National Aviation University)

  • Yuriy Kopcha

    (National Aviation University)

Abstract

A study was conducted on modeling business processes at an enterprise under the conditions of modern digital technologies, which could make it possible to determine the level of digitization at the enterprise in general, minimize costs, optimize work, and enable business processes automation. The main and most important business processes at an enterprise require simulation on basic digital technologies. As part of the research, the main business processes at an enterprise under the conditions of digital technologies were formed, which make it possible to determine the level of efficiency of the enterprise from the implemented digital technologies and the ways that the enterprise should implement to improve it. It has been established that digitalization has a positive effect on a country's GDP level, the level of employment, and the growth of the population's well-being. A methodical approach to the formation of the company's strategy based on the modeling of business processes, taking into account digital technologies, has been devised. This approach, unlike existing ones, makes it possible to determine the necessary level of digitization and identify the scope of implementation of the implementation of digital technologies at the enterprise. This makes it possible to assess digitization at an enterprise and determine the most important business processes for its operation. Practical implementation of the proposed methodology was carried out for four transport industry enterprises. The most important business processes for enterprises have been determined. According to the results of the study, it was found that digital modeling and optimization of business processes has the greatest impact, which is (3.00) and shows the level of effectiveness of the implementation of digital technologies, as well as their orientation to the search for appropriate sources of financial resources

Suggested Citation

  • Olena Arefieva & Zarina Poberezhna & Svitlana Petrovska & Serhii Arefiev & Yuriy Kopcha, 2024. "Devising approaches to modeling enterprise business processes under conditions of modern digital technologies," Eastern-European Journal of Enterprise Technologies, PC TECHNOLOGY CENTER, vol. 1(13 (127)), pages 69-79, February.
    • Handle: RePEc:baq:jetart:v:1:y:2024:i:13:p:69-79
    DOI: 10.15587/1729-4061.2024.298143
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    References listed on IDEAS

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    1. Vinit Parida & David Sjödin & Wiebke Reim, 2019. "Reviewing Literature on Digitalization, Business Model Innovation, and Sustainable Industry: Past Achievements and Future Promises," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    2. Moinak Maiti & Parthajit Kayal, 2017. "Digitization: Its Impact on Economic Development & Trade," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(6), pages 541-549.
    3. Hanna Zhosan & Natalia Kyrychenko, 2022. "Management of digitalization of business processes of enterprise activities," Economic Synergy, Higher Educational Institution Academician Yuriy Bugay International Scientific & Technical University, issue 4, pages 82-91.
    4. Olha Kibik & Olena Taran-Lala & Volodymyr Saienko & Tetiana Metil & Tetiana Umanets & Iryna Maksymchuk, 2022. "Strategic Vectors for Enterprise Development in the Context of the Digitalization of the Economy," Postmodern Openings, Editura Lumen, Department of Economics, vol. 13(2), pages 384-395, January.
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    Cited by:

    1. Zarinа Poberezhna & Oleksandr Trukhan & Arkadii Bileush & Anton Kniaziev, 2024. "Determination of the impact of innovative technologies in the system of strategic management of corporate social responsibility," Technology audit and production reserves, PC TECHNOLOGY CENTER, vol. 3(4(77)), pages 25-32, June.

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