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RESEARCH CENTER FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

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Liburkina L. M.

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Operational Performance of Construction Enterprises: Analytical Diagnostic Tools under the Digital and Sustainable Transformation of Development
Fesun A. S., Ryzhakova G. M., Petrenko O. V.

Fesun, Artem S., Ryzhakova, Galyna M., and Petrenko, Oleksandr V. (2026) “Operational Performance of Construction Enterprises: Analytical Diagnostic Tools under the Digital and Sustainable Transformation of Development.” Business Inform 9:250–260.
https://doi.org/10.32983/2222-4459-2026-9-250-260

Section: Economic and Mathematical Modeling

Article is written in Ukrainian
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UDC 005.591.6:69:004.94:502.131.1

Abstract:
The digitalization of construction development increases the volume of data on work execution, resources, and control events but does not eliminate the gap between information accumulation and timely explanation of operational losses. Existing approaches mainly assess plan-fact indicators, digital maturity, or sustainability separately and insufficiently connect actual operational sequences with material and energy consequences. The aim of the article is to develop analytical tools for diagnosing operational performance by transforming digital events from BIM, common data environments, ERP, IoT, and production systems into process and resource-environmental signals. The study employs theoretical generalization, comparative and structural-logical analysis, process mining, time-series analysis, normalization, and a target-profile distance method. Operational performance is defined as an enterprise’s ability to repeatedly reproduce a target production flow with controlled variability, a verifiable digital trace, and acceptable resource and environmental intensity. A digital evidence chain of «source – event – process – signal – cause – intervention» is developed. Indicators are proposed for process conformance, flow continuity, completion predictability, digital evidence integrity, resource eco-productivity, and diagnostic latency. The results are represented as a decomposed vector and a distance from the target configuration, which makes it possible to localize the contribution of each deviation and prevents causal analysis from being replaced by an average rating. A typology of operational states is constructed by combining process reproducibility, resource frugality, and digital evidence quality, together with a five-level maturity model for the diagnostic system. An illustrative calculation demonstrates that acceptable plan-fact results may conceal poor flow continuity, delayed data, and resource losses. The scientific novelty lies in combining process mining, a digital chain of evidence, and resource eco-productivity within a single operational diagnostic toolkit. The practical value is associated with targeted process standardization, reduction of waiting and rework, improvement of data quality, and identification of operational sources of material and carbon intensity.

Keywords: enterprise; operational performance; economic diagnostics; construction development; process-based approach; digitalization; sustainable development; economic and mathematical modeling; competitiveness; ESG.

Tabl.: 4. Formulae: 9. Bibl.: 17.

Fesun Artem S. – Candidate of Sciences (Economics), Candidate on Doctor Degree, Department of Management in Construction, Kyiv National University of Construction and Architecture (31 Povitrianykh Syl Ave., Kyiv, 03680, Ukraine)
Email: [email protected]
Ryzhakova Galyna M. – Doctor of Sciences (Economics), Professor, Head of the Department, Department of Management in Construction, Kyiv National University of Construction and Architecture (31 Povitrianykh Syl Ave., Kyiv, 03680, Ukraine)
Email: [email protected]
Petrenko Oleksandr V. – Postgraduate Student, Department of Construction Management, Kyiv National University of Construction and Architecture (31 Povitrianykh Syl Ave., Kyiv, 03680, Ukraine)
Email: [email protected]

List of references in article

Akselrod R. B., Shpakov A. V. & Ryzhakova H. M. (2021). Ekonomiko-upravlinski predyktory transformatsii operatsiinykh system budivelnoho developmentu v umovakh tsyfrovizatsii ekonomiky [Economic and managerial predictors of transformation of operational systems of construction development in the conditions of economic digitalization]. Formuvannia rynkovykh vidnosyn v Ukraini, 12, 113–121. https://doi.org/10.5281/zenodo.6090221
Boje C., Guerriero A., Kubicki S. & Rezgui Y. (2020). Towards a semantic Construction Digital Twin: Directions for future research. Automation in Construction, 114. https://doi.org/10.1016/j.autcon.2020.103179
European Commission. (2021). Level(s): European framework for sustainable buildings. User manuals. Brussels: European Commission. https://environment.ec.europa.eu/topics/circular-economy/levels_en
International Organization for Standardization. (2018). ISO 19650-1:2018. Organization and digitization of information about buildings and civil engineering works, including building information modelling (BIM) – Information management using building information modelling – Part 1: Concepts and principles. Geneva: ISO. https://www.iso.org/standard/68078.html
International Organization for Standardization. (2018). ISO 19650-2:2018. Organization and digitization of information about buildings and civil engineering works, including building information modelling (BIM) – Information management using building information modelling – Part 2: Delivery phase of the assets. Geneva: ISO. https://www.iso.org/standard/68080.html
Khomenko O. M., Petrenko H. S. & Ryzhakova H. M. (2022). Suchasni instrumenty ta prohramni produkty administruvannia budivelnymy orhanizatsiiamy v umovakh transformatsii operatsiinykh system menedzhmentu [Modern tools and software products for administering construction organizations in the conditions of transformation of operational management systems]. Upravlinnia rozvytkom skladnykh system, 52, 113–125. https://doi.org/10.32347/2412-9933.2022.52.113-125
Krychevska Yu. V., Ryzhakova H. M. & Shpakov A. V. (2024). Tsyfrova ekosystema v budivelnomu developmenti: kontseptualno-teoretychni aspekty transformatsii ta upravlinski imperatyvy [Digital ecosystem in construction development: conceptual and theoretical aspects of transformation and managerial imperatives]. Upravlinnia rozvytkom skladnykh system, 60, 174–182. https://doi.org/10.32347/2412-9933.2024.60.174-182
Kucherenko O. I., Ryzhakova H. M. & Chupryna Kh. M. (2021). Naukovo-prykladni komponenty formuvannia stratehii instytutsiino-oriientovanoi dyversyfikatsii diialnosti budivelnykh pidpryiemstv [Scientific and applied components of forming a strategy of institutionally oriented diversification of construction enterprises' activities]. Upravlinnia rozvytkom skladnykh system, 47, 109–118. https://doi.org/10.32347/2412-9933.2021.47.109-118
Martinez Lagunas A. J. & Nik-Bakht M. (2024). Process Mining, Modeling, and Management in Construction: A Critical Review of Three Decades of Research Coupled with a Current Industry Perspective. Journal of Construction Engineering and Management, 150(11), 1–23. https://doi.org/10.1061/JCEMD4.COENG-14727
Murguia D., Rathnayake A., Jansen van Vuuren T. & Middleton C. (2024). Measuring Construction Productivity across Projects: Multilevel Three-Dimensional Framework. Journal of Construction Engineering and Management, 150(11). https://doi.org/10.1061/JCEMD4.COENG-14850
Pan Y. & Zhang L. (2021). A BIM-data mining integrated digital twin framework for advanced project management. Automation in Construction, 124. https://doi.org/10.1016/j.autcon.2021.103564
Rathnayake A., Murguia D. & Middleton C. (2024). Measuring Activity-Level Construction Productivity. Journal of Construction Engineering and Management, 150(8). https://doi.org/10.1061/JCEMD4.COENG-14602
Ratnikov D. H., Fesun A. S., Ryzhakova H. M. & Khomenko O. M. (2026). FINTECH-rishennia v koordynatakh tsyfrovoi ekonomiky: novi parametry ekonomichnoi bezpeky ta stratehichni vektory rozvytku pidpryiemstv [FINTECH-solutions in the coordinates of the digital economy: new parameters of economic security and strategic vectors of enterprise development]. Prostorovyi rozvytok, 16, 591–601. https://doi.org/10.32347/2786-7269.2026.16.591-601
Ryzhakova H. M., Kishchak N. H. & Khomenko O. M. (2022). Suchasnyi vektor onovlennia budivelnoho developmentu v konteksti stratahem Integrated Project Delivery [Modern vector of construction development renewal in the context of Integrated Project Delivery stratagems]. Upravlinnia rozvytkom skladnykh system, 49, 113–123. https://doi.org/10.32347/2412-9933.2022.49.113-123
Trach R., Chupryna I. & Tormosov R. (2026). Decision Support Framework for Post-War Infrastructure Revitalization Using a Hybrid Fuzzy–Simulation–ANN Model. Applied Sciences, 16(9). https://doi.org/10.3390/app16094364
van der Aalst W. M. P. (2016). Process Mining: Data Science in Action. Berlin ; Heidelberg: Springer. https://doi.org/10.1007/978-3-662-49851-4
Wang Y., Liao S., Gong Z., Deng F. & Yin S. (2024). Enhancing Construction Management Digital Twins Through Process Mining of Progress Logs. Sustainability, 16(22). https://doi.org/10.3390/su162210064