METHODOLOGICAL APPROACH TO ASSESSING THE PROCESS MATURITY OF MANUFACTURING ENTERPRISES AS A BASIS FOR BUSINESS PROCESS REFORM
Abstract
The article substantiates the use of prior assessment of process maturity at manufacturing enterprises as a basis for selecting directions for business process reform, since such assessment reflects both the state of business processes and the organizational conditions of their functioning and thus provides an analytical basis for sound managerial decisions. The purpose of the study is to develop a methodological approach to assessing the process maturity of manufacturing enterprises as a basis for substantiating directions for business process reform. The article clarifies the distinction between process maturity and business process management capabilities as related but not identical characteristics of enterprise process development. This makes it possible to focus the assessment on the state of business processes while also taking into account the organizational conditions that determine their functioning and further improvement. Based on the generalization of scientific approaches, the article develops a system of criteria for assessing process maturity that covers both the parameters of business process state and the organizational and support conditions of their functioning. The system includes process formalization and standardization, manageability and responsibility, competency support, information and resource support, measurability and control, continuous improvement and adaptation, as well as resilience and continuity of process functioning. The scientific novelty of the study lies in adapting the logic of process maturity assessment to the specifics of manufacturing enterprises and in combining the assessment of business process state with the assessment of organizational conditions for their functioning and further transformation. The methodological approach developed in the article is based on a consistent sequence of stages: defining the objects of assessment, forming the information base, assessing the criteria, summarizing the results, and interpreting them for managerial purposes. The practical value of the proposed approach lies in the possibility of identifying not only the general level of process maturity but also the profile of strengths and problem areas within the enterprise process system. This provides a basis for a differentiated choice of reform directions depending on the identified maturity level and the configuration of imbalances between individual criteria. The study concludes that the results of process maturity assessment can be used to substantiate priority directions for business process reform, from process standardization and structuring to optimization, redesign, and reengineering. Therefore, the proposed methodological approach can be applied as a tool for supporting managerial decision-making on business process reform at manufacturing enterprises.
References
Криворучко О. М. Інтегрований підхід до удосконалення бізнес-процесів підприємства. Економіка транспортного комплексу. 2018. № 32. С. 17-29. DOI: https://doi.org/10.30977/ETK.2225-2304.2018.32.0.17
Островська Г. Й. Сучасні моделі діагностики та оцінки цифрової зрілості підприємства в умовах digital-трансформації. Вісник економічної науки України. 2024. № 2 (47). С. 143-151. DOI: https://doi.org/10.37405/1729-7206.2024.2(47).143-151
Шимановська-Діанич Л. М., Лозова О. В. Вплив цифрової зрілості на трансформацію бізнес-процесів підприємств в умовах змін економіки України. Економіка: реалії часу. 2024. № 2 (72). С. 74-84. DOI: https://doi.org/10.15276/ETR.02.2024.9
Fornasiero R., Kiebler L., Falsafi M., Sardesai S. Proposing a maturity model for assessing Artificial Intelligence and Big data in the process industry. International Journal of Production Research. 2025. Vol. 63 (4). P. 1235-1255. DOI: https://doi.org/10.1080/00207543.2024.2372840
Haryanti T., Rakhmawati N. A., Subriadi A. P. The Extended Digital Maturity Model. Big Data and Cognitive Computing. 2023. Vol. 7 (17). P. 1-24. DOI: https://doi.org/10.3390/bdcc7010017
Sincorá L. A., Oliveira M. P. V. D., Zanquetto-Filho H., Alvarenga M. Z. Developing organizational resilience from business process management maturity. Innovation & Management Review. 2023. Vol. 20 (2). P. 147–161. DOI: https://doi.org/10.1108/INMR-11-2021-0219
Tubis A. A. Digital maturity assessment model for the organizational and process dimensions. Sustainability. 2023. Vol. 15 (20). Article 15122. DOI: https://doi.org/10.3390/su152015122
Turetken O., Van Looy A. Capability and maturity models in business process management. Handbook on business process management and digital transformation. Edward Elgar. 2024. P. 303-331. DOI: https://doi.org/10.4337/9781802206098.00022
Kryvoruchko O. M. (2018) Intehrovanyi pidkhid do udoskonalennia biznes-protsesiv pidpryiemstva [An integrated approach to improving enterprise business processes]. Ekonomika transportnoho kompleksu – Economics of the Transport Complex, vol. 32, pp. 17–29. DOI: https://doi.org/10.30977/ETK.2225-2304.2018.32.0.17 (in Ukrainian)
Ostrovska H. I. (2024) Suchasni modeli diahnostyky ta otsinky tsyfrovoi zrilosti pidpryiemstva v umovakh digital-transformatsii [Modern models of diagnostics and assessment of digital maturity of the enterprise in the conditions of digital transformation]. Visnyk ekonomichnoi nauky Ukrainy – Herald of the Economic Science of Ukraine, vol. 2 (47), pp. 143–151. DOI: https://doi.org/10.37405/1729-7206.2024.2(47).143-151 (in Ukrainian)
Shymanovska-Dianych L. M. & Lozova O. V. (2024) Vplyv tsyfrovoi zrilosti na transformatsiiu biznes-protsesiv pidpryiemstv v umovakh zmin ekonomiky Ukrainy [The impact of digital maturity on the transformation of business processes of enterprises in the conditions of changes in the economy of Ukraine]. Ekonomika: realii chasu – Economics: time realities, vol. 2 (72), pp. 74–84. DOI: https://doi.org/10.15276/ETR.02.2024.9 (in Ukrainian).
Fornasiero R., Kiebler L., Falsafi M. & Sardesai S. (2025) Proposing a maturity model for assessing Artificial Intelligence and Big data in the process industry. International Journal of Production Research, vol. 63 (4), pp. 1235–1255. DOI: https://doi.org/10.1080/00207543.2024.2372840
Haryanti T., Rakhmawati N. A. & Subriadi A. P. (2023) The Extended Digital Maturity Model. Big Data and Cognitive Computing, vol. 7 (17), pp. 1–24. DOI: https://doi.org/10.3390/bdcc7010017
Sincorá L. A., Oliveira M. P. V. D., Zanquetto-Filho H. & Alvarenga M. Z. (2023) Developing organizational resilience from business process management maturity. Innovation & Management Review, vol. 20 (2), pp. 147–161. DOI: https://doi.org/10.1108/INMR-11-2021-0219
Tubis A. A. (2023) Digital maturity assessment model for the organizational and process dimensions. Sustainability, vol. 15 (20), Article 15122. DOI: https://doi.org/10.3390/su152015122
Turetken O. & Van Looy A. (2024) Capability and maturity models in business process management. Handbook on business process management and digital transformation. Edward Elgar, pp. 303–331. DOI: https://doi.org/10.4337/9781802206098.00022
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