Functional Modelling and Enterprise Resilience: Quantifying Strategic Efficiency Gains in Ukrainian Firms
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Liliia BODENCHUK Department of Economics and Management Prydunai Branch of Private Joint-Stock Company “Higher Educational Institution Interregional Academy of Personnel Management”, Odesa, Ukraine
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Iryna LIGANENKO Department of Economics and Management Prydunai Branch of Private Joint-Stock Company “Higher Educational Institution Interregional Academy of Personnel Management”, Odesa, Ukraine
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Oksana BONDAR-PIDHURSKA Department of Management Educational and Scientific Institute of Day Education Poltava University of Economics and Trade, Ukraine
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Valentyn VLASENKO Department of Management Educational and Scientific Institute of Day Education Poltava University of Economics and Trade, Ukraine
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Alla GLEBOVA Department of Management and Logistics National University “Yuri Kondratyuk Poltava Polytechnic”, Poltava, Ukraine
The main goal of this paper is the implementation of Integrated Definition for Function Modelling (IDEF) as a method for enhancing measurable economic and strategic performance outcomes among Ukrainian enterprises against the background of the vagueness of the economic milieu and the vagueness of the market. The target function was chosen as strategic efficiency. Strategic efficiency was measured using quantifiable economic indicators: productivity gains (output per employee change), cost reductions (decreased operating and lead time costs), and financial improvements (changes in return on assets and profit margins).
This study was conducted in Ukraine in 2024 using a mixed method approach, which used a combination of quantitative analysis, a targeted survey of 25 enterprise managers with IDEF experience, and secondary data analysis. Multiple linear regression with OLS assumptions and logistic regression are included in the empirical model to examine the relationship between managerial experience, enterprise-size, enterprise digital readiness and strategic efficiency outcomes. The outcomes of the investigation demonstrate that managerial experience and enterprise size have a substantial influence on IDEF, with larger enterprises demonstrating structural complexity and, in turn, demonstrating a higher degree of success when applying IDEF principles. The prominence of technological readiness was also highlighted in digital readiness, where it was demonstrated to be greatly enhanced by the utility of functional modelling. Based on the analysis, recommendations were made for targeted support for digital infrastructure development, incentives for training managers for IDEF, and industry consulting services to facilitate firms’ use of IDEF. The proposals aim to promote strategic flexibility and resilience of Ukrainian enterprises to achieve sustainable economic growth and competitiveness.
Copyright© 2025 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
Article’s history: Received 25th of September, 2025; Revised 19th of October, 2025; Accepted 29th of November, 2025; Available online: 30th of December, 2025. Published as article in the Volume XX, Winter, Issue 4(90), December, 2025.
Bodenchuk, L., Liganenko, I., Bondar-Pidhurska, O., Vlasenko, V., & Glebova, A. (2025). Functional Modelling and Enterprise Resilience: Quantifying Strategic Efficiency Gains in Ukrainian Firms. Journal of Applied Economic Sciences, Volume XX, Winter, Issue 4(90), 675–693. https://doi.org/10.57017/jaes.v20.4(90).03
Acknowledgments/Funding: The authors did not obtain financing for the development of this research.
Conflict of Interest Statement: The authors state that there is no conflict of interest
Data Availability Statement: The results that sustain the results of this paper are accessible from the consistent author upon rational demand. The study also makes use of third-party data obtained from the State Statistics Service of Ukraine and international organisations (World Bank, IMF, OECD). These data are publicly accessible through the official websites of the respective institutions, subject to their terms of use.
AlTaweel, I. R., & Al-Hawary, S. I. (2021). The mediating role of innovation capability on the relationship between strategic agility and organizational performance. Sustainability, 13(14), 7564. https://doi.org/10.3390/su13147564
Atobishi, T., Moh’d Abu Bakir, S., & Nosratabadi, S. (2024). How do digital capabilities affect organizational performance in the public sector? The mediating role of the organizational agility. Administrative Sciences, 14(2), 37. https://doi.org/10.3390/admsci14020037
Awan, A. M., Saleem, S. F., & Khan, S. (2024). Navigating sustainable development: Exploring the environmental Kuznets curve in the SAARC region with global stochastic trends. Environment, Development and Sustainability, 26(12), 31489–31510. https://doi.org/10.1007/s10668-024-04505-9
Baranovskyi, O. I. (2021). Regulation of functional and structural transformational processes in the financial sector. Financial and Credit Activity Problems of Theory and Practice, 1(32), 292–306. https://doi.org/10.18371/fcaptp.v1i32.200525
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Barrera Ortiz, K. E., Buitrago Sanchez, O., & Villanueva Pineda, S. J. (2025, August 11). How does the use of Big Data influence strategic decision-making in Colombian companies? Diginomics, 4, 218. Retrieved October 8, 2025, from https://digi.ageditor.ar/index.php/digi/article/view/218
Berkson, J. (1944). Application of the logistic function to bio-assay. Journal of the American Statistical Association, 39(227), 357–365. https://doi.org/10.1080/01621459.1944.10500699
Bodenchuk, L., Liganenko, I., Bondar-Pidhurska, O., Vlasenko, V., & Glebova, A. (2024). Formation and implementation of the business development strategy of Ukrainian enterprises: Functional modelling (IDEF). Economics Affairs, 69(03), 1543-1555. https://doi.org/10.46852/0424-2513.4.2024.37
Borgianni, Y. (2014). A methodological toolkit to support innovation processes in industry [Doctoral dissertation, Università degli Studi di Firenze]. Retrieved from https://flore.unifi.it/bitstream/2158/862717/1/Tesi_Borgianni_Yuri_XXVI.pdf
Burton, A. L. (2021). OLS (linear) regression. In The Encyclopaedia of Research Methods in Criminology and Criminal Justice (pp. 509–514). Wiley. https://doi.org/10.1002/9781119111931.ch104
Charles, M., & Benson Ochieng, S. (2023). Strategic outsourcing and firm performance: A review of literature. International Journal of Social Science and Humanities Research, 1(1), 20–29. https://doi.org/10.61108/ijsshr.v1i1.5
Collier, Z. A., Gaskins, A., & Lambert, J. H. (2023). Business process modelling for semiconductor production risk analysis using IDEF0. IEEE Engineering Management Review, 51(1), 183–188. https://doi.org/10.1109/emr.2022.3230374
Davenport, T. H. (1993). Process innovation: Reengineering work through information technology. Harvard Business Review Press. Retrieved from https://books.google.com.pk/books?id=kLlIOMGaKnsC
De Lucia, C., Pazienza, P., & Bartlett, M. (2020). Does good ESG lead to better financial performances by firms? Machine learning and logistic regression models of public enterprises in Europe. Sustainability, 12(13), 5317. https://doi.org/10.3390/su12135317
Domínguez-Almendros, S., Benítez-Parejo, N., & Gonzalez-Ramirez, A. R. (2011). Logistic regression models. Allergologia et Immunopathologia, 39(5), 295–305. https://doi.org/10.1016/j.aller.2011.05.002
Dorogyy, Y., Tsurkan, V., Mokhor, V., & Doroha-Ivaniuk, O. (2021). Critical IT infrastructure resource distribution algorithm. 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE. https://doi.org/10.1109/IDAACS53288.2021.9660948
Duong, N. H., Nguyen Hong, A., Duong Tuan, D., Bui Uyen, N., & Tran Thi Tra, M. (2024). Factors affecting the financial performance of banks in the era of digital transformation: A perspective from Vietnam’s banking industry. Futurity Economics & Law, 4(2), 4–30. https://doi.org/10.57125/FEL.2024.06.25.01
Eller, R., Alford, P., Kallmünzer, A., & Peters, M. (2020). Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization. Journal of Business Research, 112, 119–127. https://doi.org/10.1016/j.jbusres.2020.03.004
Fisher, R. A. (1922). The goodness of fit of regression formulae, and the distribution of regression coefficients. Journal of the Royal Statistical Society, 85(4), 597. https://doi.org/10.2307/2341124
Godlevskyi, M. D., Orlovskyi, D. L., & Kopp, A. M. (2018). Structural analysis and optimization of IDEF0 functional business process models. Radio Electronics Computer Science Control, (3). https://doi.org/10.15588/1607-3274-2018-3-6
Gomila, R. (2021). Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis. Journal of Experimental Psychology: General, 150(4), 700–709. https://doi.org/10.1037/xge0000920
Greene, W. H. (2003). Econometric analysis (5th ed.). Prentice Hall. http://surl.li/stuent
Kairat, K., Karlygash, A., Beglan, T., Saule, B., Talshyn, K., Viktor, T., & Abai, K. (2023). Formalization of risk management in the context of digital business transformation. Indonesian Journal of Electrical Engineering and Computer Science, 30(3), 1428–1439. https://doi.org/10.11591/ijeecs.v30.i3.pp1428-1439
Khamaksorn, A., Nimmolrat, A., Mahat, N., & Thinnukool, O. (2023). An IDEF0 functional planning model for the development of an asset management framework: A case study of Chiang Mai University. Journal of Construction in Developing Countries, 28(1), 133–150. https://doi.org/10.21315/jcdc-12-20-0249
Klokar, O. O., Svynous, I. V., Gavryk, O. Y., & Ivanova, R. Y. (2019). Human resources management of financial controlling of agricultural companies. Financial and Credit Activity Problems of Theory and Practice, 1(28), 149–157. https://doi.org/10.18371/fcaptp.v1i28.162912
Kravchenko, L., Levkiv, H., Kozak, S., Zerkal, A., & Prykhodko, I. (2024). The influence of external and internal factors on the reengineering of business processes in the context of the activities of transport enterprises. Financial and Credit Activity Problems of Theory and Practice, 3(56), 439–448. https://doi.org/10.55643/fcaptp.3.56.2024.4408
Kryvoviaziuk, I. (2013). Implementation of matrix approach to management of enterprise’s logistic development based on a concept of “demand-driven techniques”. Economic Annals-XXI, 9–10(1), 60–64. https://ea21journal.world/index.php/ea-v133-16/
Kushnir, M., Lipych, L., Fatenok-Tkachuk, A., & Khilukha, O. (2022). Incentives for the deployment of social responsibility management in Ukrainian enterprises. Law, Business and Sustainability Herald, 2(1), 18–33. https://lbsherald.org/index.php/journal/article/view/30
Lagodiienko, V., Karyy, O., Ohiienko, M., Kalaman, O., Lorvi, I., & Herasimchuk, T. (2019, September). Choosing effective Internet marketing tools in strategic management. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 5220–5225. https://doi.org/10.35940/ijrte.C5868.098319
Lawrence, P. R., & Lorsch, J. W. (1967). Organization and environment: Managing differentiation and integration. Division of Research, Graduate School of Business Administration, Harvard University.
Li, F. (2020). The digital transformation of business models in the creative industries: A holistic framework and emerging trends. Technovation, 92–93, 102012. https://doi.org/10.1016/j.technovation.2017.12.004
Liu, Z., Liu, J., & Osmani, M. (2021). Integration of digital economy and circular economy: Current status and future directions. Sustainability, 13(13), 7217. https://doi.org/10.3390/su13137217
Lopreato, J., & von Bertalanffy, L. (1970). General system theory: Foundations, development, applications. American Sociological Review, 35(3), 543. https://doi.org/10.2307/2093003
Manenti, G., Ebrahimiarjestan, M., Yang, L., & Yu, M. (2019). Functional modelling and IDEF0 to enhance and support process tailoring in systems engineering. In 2019 International Symposium on Systems Engineering (ISSE) (pp. 1–8). IEEE. https://doi.org/10.1109/isse46696.2019.8984539
Mishchenko, V., Naumenkova, S., Grytsenko, A., & Mishchenko, S. (2022). Operational risk management of using electronic and mobile money. Banks and Bank Systems, 17(3), 142–157. https://doi.org/10.21511/bbs.17(3).2022.12
Mykhalchenko, H., Zhuravlova, I., Zhalinska, I., Saienko, V., & Ovander, N. (2023). Digital tools for anti-crisis management of enterprises: The Ukrainian case. Revista Amazonia Investiga, 12(64), 291–299. https://doi.org/10.34069/ai/2023.64.04.30
Orazbayev, B., Ospanov, E., Kissikova, N., Mukataev, N., & Orazbayeva, K. (2017). Decision-making in the fuzzy environment on the basis of various compromise schemes. Procedia Computer Science, 120, 945–952. https://www.sciencedirect.com/science/article/pii/S1877050917325425
Ostapchuk, O., Brych, L., Lapychak, N., Prots, R., & Kryshtanovych, S. (2024). Standardization of the modeling system for choosing the reengineering form to change business processes at critical energy infrastructure enterprises: Challenges for human capital security. Journal of Ecohumanism, 3(4), 1572–1579. https://doi.org/10.62754/joe.v3i4.3686
Perera, T., & Liyanage, K. (2001). IDEF based methodology for rapid data collection. Integrated Manufacturing Systems, 12(3), 187–194. https://doi.org/10.1108/09576060110391147
Potwora, M., Zakryzhevska, I., Mostova, A., Kyrkovskyi, V., & Saienko, V. (2023). Marketing strategies in e-commerce: Personalised content, recommendations, and increased customer trust. Financial and Credit Activity: Problems of Theory and Practice, 5(52), 562–573. https://doi.org/10.55643/fcaptp.5.52.2023.4190
Prylypko, S. M., & Kasiliunas, T. (2019). Liberal ideas and state regulation on the way of socio-economic development of Ukraine. Financial and Credit Activity: Problems of Theory and Practice, 4(31), 536–546. https://doi.org/10.18371/fcaptp.v4i31.191009
Rogers, E. M. (1962). Diffusion of innovations. The Free Press of Glencoe.
Tazhibekova, K., & Shametova, A. (2025). Ecological initiatives and their influence on the competitiveness and sustainability of companies: “Green” strategies of SMEs. Journal of the Knowledge Economy, 16, 1623–1645. https://doi.org/10.1007/s13132-024-02062-0
Titu, A. M., Suteu, D. V., Toderici, M. I., & Pop, A. B. (2024). Contributions on the application of IDEF0 modelling for collaborative design of information systems integration for local and area service process management. In 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (pp. 1–6). IEEE. https://doi.org/10.1109/ecai61503.2024.10607500
Vogelsang, T. J., & Wagner, M. (2024). Integrated modified OLS estimation and fixed-b inference for co-integrating multivariate polynomial regressions (IHS Working Paper No. 53). https://hdl.handle.net/10419/290890
Vorobec, S., Kozyk, V., Zahoretska, O., & Masuk, V. (2020). Simulation model of planning financial and economic indicators of an enterprise on the basis of business model formalization. In Data-Centric Business and Applications (pp. 299–318). Springer International Publishing. https://doi.org/10.1007/978-3-030-19069-9_12
Zakharchyn, H., Viblyi, P., Petrenko, M., Butkevych, O., & Vakun, O. (2023). A model for protecting competitive advantages in the system for managing the innovative security of an engineering enterprise under the influence of digitalization of the economy. International Journal of Safety and Security Engineering, 13(1), 111–118. https://doi.org/10.18280/ijsse.130112
Zdaniuk, B. (2023). Ordinary least-squares (OLS) model. In Encyclopedia of Quality of Life and Well-Being Research (pp. 4867–4869). Springer International Publishing. https://doi.org/10.1007/978-3-031-17299-1_2008
Zhu, X., Zhao, Q., & Yao, X. (2024). How inventory flexibility affects productivity: The moderating roles of digital transformation and supply chain concentration. Journal of Manufacturing Technology Management, 35(8), 1554–1580. https://doi.org/10.1108/jmtm-03-2024-0110