The algorithm for applying the process maturity model to improve business processes in organization
Business process management contributes to the effective operation of an organization with greater customer focus and a high level of productivity. These advantages have the potential to overcome the high level of competition; however, optimizing business processes in specific organizations is a...
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author | S. I. Artemyeva G. S. Kublashvili A. G. Zaitsev |
author_facet | S. I. Artemyeva G. S. Kublashvili A. G. Zaitsev |
author_sort | S. I. Artemyeva |
collection | DOAJ |
description | Business process management contributes to the effective operation of an
organization with greater customer focus and a high level of productivity. These
advantages have the potential to overcome the high level of competition; however,
optimizing business processes in specific organizations is a challenge. Improving
processes requires accounting for many aspects; therefore, many companies
experience difficulties in managing business processes. Many practitioners and
scholars work on developing business process maturity models to help organizations
gradually implement business process management for specific processes and/
or for an entire portfolio of processes. The article considers the most popular
maturity models. An algorithm for applying these models is developed. Theoretical
principles for the development of the algorithm are represented. This algorithm
allows for an ongoing maturity assessment. Based on the obtained results, the most
appropriate maturity model for further optimization of business processes can be
selected. Possibilities of subsequent application of the developed algorithm are
considered. |
first_indexed | 2024-03-11T20:19:33Z |
format | Article |
id | doaj.art-8d7cb852b7644a8885336585b98db8ae |
institution | Directory Open Access Journal |
issn | 2542-0488 2541-7983 |
language | English |
last_indexed | 2024-03-11T20:19:33Z |
publishDate | 2023-09-01 |
publisher | Omsk State Technical University, Federal State Budgetary Educational Institution of Higher Education |
record_format | Article |
series | Омский научный вестник: Серия "Общество. История. Современность" |
spelling | doaj.art-8d7cb852b7644a8885336585b98db8ae2023-10-03T09:25:59ZengOmsk State Technical University, Federal State Budgetary Educational Institution of Higher EducationОмский научный вестник: Серия "Общество. История. Современность"2542-04882541-79832023-09-018313814610.25206/2542-0488-2023-8-3-138-146The algorithm for applying the process maturity model to improve business processes in organizationS. I. Artemyeva0G. S. Kublashvili1A. G. Zaitsev2https://orcid.org/0000-0002-7578-3543Moscow Polytechnic UniversitySynergy UniversityPlekhanov Russian University of EconomicsBusiness process management contributes to the effective operation of an organization with greater customer focus and a high level of productivity. These advantages have the potential to overcome the high level of competition; however, optimizing business processes in specific organizations is a challenge. Improving processes requires accounting for many aspects; therefore, many companies experience difficulties in managing business processes. Many practitioners and scholars work on developing business process maturity models to help organizations gradually implement business process management for specific processes and/ or for an entire portfolio of processes. The article considers the most popular maturity models. An algorithm for applying these models is developed. Theoretical principles for the development of the algorithm are represented. This algorithm allows for an ongoing maturity assessment. Based on the obtained results, the most appropriate maturity model for further optimization of business processes can be selected. Possibilities of subsequent application of the developed algorithm are considered.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2023/%D0%A2.8,%20%E2%84%963%20(%D0%9E%D0%98%D0%A1)/138-146%20%D0%90%D1%80%D1%82%D0%B5%D0%BC%D1%8C%D0%B5%D0%B2%D0%B0%20%D0%A1.%20%D0%98.,%20%D0%9A%D1%83%D0%B1%D0%BB%D0%B0%D1%88%D0%B2%D0%B8%D0%BB%D0%B8%20%D0%93.%20%D0%A1.,%20%20%D0%97%D0%B0%D0%B9%D1%86%D0%B5%D0%B2%20%D0%90.%20%D0%93..pdfbusiness process maturity modelsbusiness process managementoptimization of business processesalgorithm for applying the maturity modelmaturity of business processesmaturity levelsprinting company |
spellingShingle | S. I. Artemyeva G. S. Kublashvili A. G. Zaitsev The algorithm for applying the process maturity model to improve business processes in organization Омский научный вестник: Серия "Общество. История. Современность" business process maturity models business process management optimization of business processes algorithm for applying the maturity model maturity of business processes maturity levels printing company |
title | The algorithm for applying the process maturity model to improve business processes in organization |
title_full | The algorithm for applying the process maturity model to improve business processes in organization |
title_fullStr | The algorithm for applying the process maturity model to improve business processes in organization |
title_full_unstemmed | The algorithm for applying the process maturity model to improve business processes in organization |
title_short | The algorithm for applying the process maturity model to improve business processes in organization |
title_sort | algorithm for applying the process maturity model to improve business processes in organization |
topic | business process maturity models business process management optimization of business processes algorithm for applying the maturity model maturity of business processes maturity levels printing company |
url | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2023/%D0%A2.8,%20%E2%84%963%20(%D0%9E%D0%98%D0%A1)/138-146%20%D0%90%D1%80%D1%82%D0%B5%D0%BC%D1%8C%D0%B5%D0%B2%D0%B0%20%D0%A1.%20%D0%98.,%20%D0%9A%D1%83%D0%B1%D0%BB%D0%B0%D1%88%D0%B2%D0%B8%D0%BB%D0%B8%20%D0%93.%20%D0%A1.,%20%20%D0%97%D0%B0%D0%B9%D1%86%D0%B5%D0%B2%20%D0%90.%20%D0%93..pdf |
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