The analysis of modern business processes` modeling and digitalization tools

Authors

  • D. Zelinska Vasyl' Stus Donetsk National University
  • T. Oriekhova Vasyl' Stus Donetsk National University

DOI:

https://doi.org/10.31558/2307-2318.2023.1.7

Keywords:

business process; digitization; PPP; visualization; infographic; diagram; business modeling methodology; collective expertise; UML; business modeling notation

Abstract

The article researches modern tools designed for modeling and digitization of business processes. A number of scientific approaches from the research of modern specialists are summarized, conclusions are made about a large amount of practical material and at the same time ambiguity and contradiction in defining both a single notation for modeling business processes and in defining professional tools for their automation. A practical study of the modeling of a potential business process at an IT enterprise using the Visual Paradigm PPP was conducted, and the importance of using infographics for better visualization and perception by specialists of individual details of the business process was proven. Five actual principles in modeling business processes are highlighted, as well as seven most famous and widespread business process modeling methodologies. A collective expertise was conducted with the help of an automated desktop application using the Delphi evaluation method, ten project management specialists were involved in the examination, and seven described business process transformation methodologies were admitted to the evaluation according to five possible criteria (modeling principles). Based on the results of the research, it can be concluded that the most relevant and effective approach to modeling business processes today is UML, and the most morally outdated approach is the use of colored Petri nets during the transformation of business processes.

Author Biographies

D. Zelinska , Vasyl' Stus Donetsk National University

Postgraduate

T. Oriekhova , Vasyl' Stus Donetsk National University

Doctor of Economic Sciences, Professor

References

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Published

2023-07-05

Issue

Section

Articles