System of analytical indicators for assessing the effectiveness of management decisions in construction and investment activities
DOI:
https://doi.org/10.32347/2707-501x.2025.56(2).206-217Keywords:
analytical indicators, management decisions, efficiency, construction and investment activities, strategic assessment, adaptability, analytical models, digital analyticsAbstract
The system of analytical indicators in construction and investment activities serves as a key element in ensuring the validity, adaptability, and effectiveness of managerial decisions. Its purpose is to create a quantitative and qualitative foundation for evaluating the efficiency of management actions in a multifactor environment characterized by high uncertainty and inherent industry risks. These indicators make it possible to measure not only achieved results but also the quality of the decision-making process itself, revealing patterns and interdependencies between project parameters and the level of managerial influence.
The analytical indicator system in construction has a cascading structure that encompasses strategic, investment, operational, resource, and risk levels. It is based on the interconnection between indicators of different management tiers, ensuring a “cause-and-effect” logic and enabling the prompt identification of managerial gaps. A distinctive feature of this system is the integration of “hard” quantitative metrics (ROI, budget performance, risk dynamics) with “soft” indicators (employee satisfaction, communication quality, stakeholder trust). To aggregate data, weighted coefficients, fuzzy logic methods, and expert evaluation techniques are applied.
Special attention is given to analytical models that allow for measuring the dynamics of decision effectiveness over time, such as the composite management efficiency coefficient, system adaptability indicators, management reactivity measures, and the scenario stability index. Through these models, management gains not only a retrospective evaluation of results but also the ability to forecast future trends.
The implementation of an analytical indicator system transforms management from an intuitive process into an analytically grounded one. This enables the digital transformation of managerial processes, the integration of analytics into BIM and ERP environments, and the development of information-diagnostic platforms with data visualization dashboards. Consequently, the analytical indicator system becomes not only a tool for evaluation but also a means of enhancing strategic flexibility, ensuring enterprise resilience, and increasing competitiveness in the construction and investment market.
References
Чекмарьов І.І. Системна організація управлінських рішень в інвестиційно-будівельних проєктах: монографія. Київ: КНУБА, 2020. 284 с. URL: https://knuba.edu.ua/wp-content/uploads/2020/09/chekmariov-monograph.pdf
Репіна Н. М. Методи оцінювання ефективності управлінських рішень у будівництві: навч. посіб. Харків: ХНАМГ, 2019. 192 с. URL: https://eprints.kname.edu.ua/51288/1/repyina_effektivnist.pdf
Історія, сьогодення та перспективи розвитку інформаційних технологій в Україні та світі. Матеріали 7-ої Всеукр. наук.-практ. конф. «Глушковські читання», Київ, 2018 р. / Уклад.: А.А. Мельниченко, В.Д. Піхорович, П.А. Богдан; Нац. техн. ун-т України «КПІ ім. Ігоря Сікорського», ф-т соціології і права; Ін-т кібернетики ім. В. М. Глушкова НАН України; Ін-т проблем мат. машин і систем НАН України. Київ: ТОВ НВП «Інтерсервіс», 2018. 140 с. URL: https://fsp.kpi.ua/wp-content/uploads/2019/06/Glushkov-2018-sbornik.pdf?x33898.
Kaplan R. S., Norton D. P. The Balanced Scorecard: Translating Strategy into Action. Boston: Harvard Business Press, 1996. 320 p. URL: https://hbr.org/product/the-balanced-scorecard-translating-strategy-into-action/792059-HBK-ENG
Рижакова Г.М, Чуприна Ю.А, Гавриков Д.О, Бородавко М.В. Формування будівельного кластеру у форматі державних інвестиційних цільових програм. Шляхи підвищення ефективності будівництва в умовах формування ринкових відносин. 2019. Вип. 40. Економічний. С. 19-25.
Turban E., Sharda R., Delen D. Decision Support and Business Intelligence Systems. 10th ed. Boston: Pearson Education, 2014. 736 p. URL: https://www.pearson.com/en-us/subject-catalog/p/decision-support-and-business-intelligence-systems/P200000004246
Anderson D. R., Sweeney D. J., Williams T. A. An Introduction to Management Science: Quantitative Approaches to Decision Making. 14th ed. Boston: Cengage Learning, 2015. 880 p. URL: https://www.cengage.com/c/an-introduction-to-management-science-14e-anderson/
Девенпорт Т.Х., Харріс Дж., Джекобсон Роб. Аналітика в дії: розумні рішення – кращі результати: монографія. Пер. з англ. Київ: Harvard Business Press, 2010. 210 с. URL: https://elib.bsu.by/handle/123456789/298373
Likierman, A. (2009). The five traps of performance measurement. Harvard business review. 87. 96-101, 141. URL: https://hbr.org/2009/10/the-five-traps-of-performance-measurement
Mauboussin, M.J. (2012). The Real Indicators of Success. Harvard Business Review. URL: https://hbr.org/2012/10/the-true-measures-of-success
Hamel G., Trudel J. Leading the Revolution. Journal of Product Innovation Management. 2001. 18. 212–213. DOI: 10.1016/S0737-6782(01)00097-2.
Рижакова Г.М., Чуприна Ю.А. Формування будівельного кластеру у форматі державних інвестиційних цільових програм. Шляхи підвищення ефективності будівництва в умовах формування ринкових відносин. 2019. Вип. 40. C. 19-24. http://ways.knuba.edu.ua/issue/view/11913
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
The collected scientific papers “Ways to Improve Construction Efficiency” adheres to a policy of immediate open access to published materials, supporting the principles of open science, free dissemination of scientific information, and international exchange of knowledge in the field of construction and engineering.
All scientific articles of the collection are published in open access and are freely available to readers without registration, subscription, or any other charges. Access to the full texts of the materials does not require payment.
The materials are distributed under the terms of the international license of Creative Commons - Creative Commons Attribution 4.0 International (CC BY 4.0), which permits unrestricted copying, distribution, reproduction, adaptation, and use of the materials for any purposes, including commercial ones, provided that proper attribution is given to the author(s), a reference to the collection “Ways to Improve Construction Efficiency” as the source of publication is provided, and any changes made are indicated.
Authors retain copyright to their publications and grant the collection the right of first publication.
