Features of the cross-functional business process management system

Анотація

There are a large number of modeling methods that cover and consider various aspects of a business process. A limited number of models of such processes allow for quantitative analysis, and only a few of them allow for the improvement of an already structured process. This article discusses and classifies the main methods of business process modeling in terms of their analysis and optimization capabilities. Companies should analyze their activities not from the perspective of individual functions or products, but with a focus on the key business processes they carry out. A similar vision is also presented for the approaches to the analysis and optimization of business processes that have been identified in the relevant literature. The main contribution of the article is that it identifies what types of business process models are suitable for analysis and optimization, and also highlights the lack of such approaches. This article offers a state-of-the-art review in the areas of business process modeling, analysis, and optimization, emphasizing that the latter two have not received sufficient coverage and support in previous research.

Ключові слова: business process; management system; artificial intelligence; end-to-end process flow; cross-functional process; key performance indicator; business process quality

Як цитувати

@article{internauka10124,
  author   = {Сидорчук, Ористлава Григорівна and Шевченко, Сергій Григорович},
  title    = {Features of the cross-functional business process management system},
  journal  = {Міжнародний науковий журнал «Інтернаука»},
  year     = {2024},
  number   = {7},
  doi      = {10.25313/2520-2057-2024-7-10124},
  url      = {https://www.inter-nauka.com/issues/2024/7/10124}
}

TY  - JOUR
AU  - Сидорчук, Ористлава Григорівна
AU  - Шевченко, Сергій Григорович
TI  - Features of the cross-functional business process management system
JO  - Міжнародний науковий журнал «Інтернаука»
PY  - 2024
IS  - 7
SN  - 2520-2057
DO  - 10.25313/2520-2057-2024-7-10124
UR  - https://www.inter-nauka.com/issues/2024/7/10124
LA  - en
ER  -