MODERN METHODS AND TOOLS FOR BUSINESS PROCESS MANAGEMENT

Yuliya Afanasyeva; Yuliya B. Kostrova; Olga Shibarshina

doi:10.55186/2413046X_2026_11_3_36

UDC

65.012.12

VAK Russia

5.2.6

MODERN METHODS AND TOOLS FOR BUSINESS PROCESS MANAGEMENT

Published in MOSCOW ECONOMIC JOURNAL · Pages 76–96 · Rubric: Management

DOI: https://doi.org/10.55186/2413046X_2026_11_3_36 · EDN: QVSGKJ

Received: 24.02.2026 Accepted: 30.03.2026 Published: 02.04.2026

Authors

Yuliya Afanasyeva

Yuliya B. Kostrova

Olga Shibarshina

Yuliya Afanasyeva

Academic degree: candidate of philosophical sciences

Science rang: docent

Ryazan branch of the «Moscow Witte University» Associate Professor · Department of Business and Management · Russian Federation · Ryazan

Yuliya B. Kostrova

Academic degree: candidate of economic sciences

Science rang: docent

azan branch of the «Moscow Witte University» Head of the Department · Department of Business and Management · Russian Federation · Ryazan

Olga Shibarshina

Academic degree: candidate of sociological sciences

Science rang: docent

Ryazan branch of the «Moscow Witte University» Deputy Head of the Department · Department of Business and Management · Russian Federation · Ryazan

ABSTRACT

The article presents a study of methods and tools for developing intelligent business process management systems. The authors examine modern approaches to business process management, such as reengineering, PDCA methodology, DMAIC, SCRUM, and Kanban, and conduct a comparative analysis of these tools, identifying their advantages and application features. This allows the company's team to choose the most suitable system for their organization, enabling them to effectively manage a range of tasks and optimize resource allocation. A separate section focuses on the automation of business processes using intelligent technologies and the evaluation of their effectiveness. The article focused on the main types of intelligent systems. The goal of the study is to identify the most effective approaches to automating and optimizing management tasks using artificial intelligence technologies. The study addresses the challenges of analyzing existing intelligent systems, integrating them into business processes, and assessing their impact on the quality and speed of managerial decision-making. The research methodology includes a comparative analysis, examination of practical implementation experiences, and the development of recommendations for selecting tools based on the specific nature of business tasks.

KEYWORDS

intelligent management systems, business processes, modeling, decision-making, intelligent automation, SCRUM methodology, Kanban, reengineering, intelligent systems

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JATS XML

Chairman of the editorial board

Aleksandr Fomin

e-science@list.ru

Publishing editor

Ekaterina Syamina

e-science@list.ru

GOST

Afanasyeva Y. S., Kostrova Y. B., Shibarshina O. Y. MODERN METHODS AND TOOLS FOR BUSINESS PROCESS MANAGEMENT // . 2026. pp. 76-96. DOI: https://doi.org/10.55186/2413046X_2026_11_3_36. EDN: QVSGKJ. (Date of access 19.08.2026).

MLA

Yuliya Afanasyeva, Kostrova Y. B., Shibarshina O. Y.. "MODERN METHODS AND TOOLS FOR BUSINESS PROCESS MANAGEMENT." (2026): 76-96. DOI: https://doi.org/10.55186/2413046X_2026_11_3_36. EDN: QVSGKJ.

APA

Afanasyeva Y. S., Kostrova Y. B., Shibarshina O. Y. (2026). MODERN METHODS AND TOOLS FOR BUSINESS PROCESS MANAGEMENT. , 76-96. https://doi.org/10.55186/2413046X_2026_11_3_36 EDN: QVSGKJ.

Chicago

Yuliya Afanasyeva, Kostrova Y. B., Shibarshina O. Y.. "MODERN METHODS AND TOOLS FOR BUSINESS PROCESS MANAGEMENT." , no. (2026): 76-96. https://doi.org/10.55186/2413046X_2026_11_3_36. EDN: QVSGKJ.

WIKI

{{cite journal | author = Afanasyeva Y. S., Kostrova Y. B., Shibarshina O. Y. | title = MODERN METHODS AND TOOLS FOR BUSINESS PROCESS MANAGEMENT | journal = | year = 2026 | pages = 76-96 | doi = 10.55186/2413046X_2026_11_3_36 }} EDN: QVSGKJ

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