• Home
  • Historical notes
  • Articles & Issues
    • Current
    • All Issues
  • About
    • Aims and Scope
    • Editorial Board
    • Indexing
    • Sources of Financing
  • For Authors
    • Submission
    • Terms of Publication
    • Formatting Guidelines
    • Peer Review Process
    • Article Processing Charges
    • License Agreement
  • Ethics & Policies
    • Publication Ethics
    • Conflict of Interest
    • Open Access Policy
    • Archiving
    • Complaints Policy
    • Privacy Statement
    • Corrections and Retractions
    • Anti-plagiarism Policy
    • Generative AI Policy
  • Contacts
en English
  • Українська Українська

UkrainianProfessional Education

  • Submit an article
  • Home
  • Articles & Issues
    • Current
    • All Issues
  • About
    • Aims and Scope
    • Editorial Board
    • Indexing
    • Sources of Financing
  • For Authors
    • Submission
    • Terms of Publication
    • Formatting Guidelines
    • Peer Review Process
    • Article Processing Charges
    • License Agreement
  • Ethics & Policies
    • Publication Ethics
    • Conflict of Interest
    • Open Access Policy
    • Archiving
    • Complaints Policy
    • Privacy Statement
    • Corrections and Retractions
    • Anti-plagiarism Policy
    • Generative AI Policy
  • Search
  • Contacts

Article

  • Read article
  • Download article

Received 28.10.2024

Revised 02.03.2024

Accepted 27.03.2024

Retrieved from Iss. 115, P. 1, 2024

Pages 174 -182

  • 133 Views

Suggested citation

Goi, V. (2024). ECONOMIC AND MATHEMATICAL MODELING OF THE FACTORS OF FORMATION AND USE OF THE INTELLECTUAL ECONOMIC SYSTEM OF CONSTRUCTION ENTERPRISES. Automobile Roads and Road Construction, (115.1), 174-182. https://doi.org/10.33744/0365-8171-2024-115.1-174-182

ECONOMIC AND MATHEMATICAL MODELING OF THE FACTORS OF FORMATION AND USE OF THE INTELLECTUAL ECONOMIC SYSTEM OF CONSTRUCTION ENTERPRISES

Vasyl Goi

Abstract

The topicality of the topic of economic-mathematical modeling of the factors of formation and use of the intellectual economic system of construction enterprises is proven. The definition of an intelligent economic system is proposed as a set of economic, geospatial, security, and social components that are developed by applying modern mathematical methods and models, artificial intelligence, information and analytical support and tools and form the basis for making management decisions in the context of the development of construction enterprises. As a result of the evaluation, the average level of the integral indicator of the formation and use of the intelligent economic system at all construction enterprises was determined. This indicates mediocre opportunities for the formation and use of an intelligent economic system, taking into account the economic, geospatial, security, and social aspects of construction enterprises. Along with this, for the formation and implementation of an intellectual economic system, there is a need to develop relevant scientifically based recommendations by applying the tools of economic and mathematical modeling to forecast changes in the integral indicator and its impact on the generalizing factor of the development of construction enterprises.A scientific-methodical approach to determining the influence of the factors of the formation and use of the intellectual economic system on the integral indicator based on economic-mathematical modeling has been developed, which allows predicting changes in the generalizing criterion to create a basis for the development of relevant scientifically based recommendations. Based on the results of the numerical experiment of economic and mathematical modeling, it was concluded that a high correlation is observed between the integral indicator of the formation and use of the intelligent economic system of construction enterprises and economic and safety factors. The regression models built for these factor characteristics are significant and adequate

Keywords:

construction enterprises, intelligent economic system, economic-mathematical modeling, correlation-regression analysis, forecasting, development, economic, geospatial, security, social factors

References

  1. Intelligent systems. (n.d.). Retrieved from https://zp.edu.ua/intelektualni-systemy.
  2. Nesterenko, O.V., Kovtunets, O.V., & Falovskyi, O.O. (2017). Intelligent systems and technologies. Introductory course: Study guide. Kyiv: National Academy of Management.
  3. Krasnopoiasovskyi, A.S. (2004). Information synthesis of intelligent control systems: An approach based on the method of functional-statistical tests. Sumy: Sumy State University Publishing House.
  4. Hlibovets, M.M., & Oletskyi, O.V. (2002). Artificial intelligence: Textbook for students of higher educational institutions. Kyiv: KM Academy Publishing House.
  5. Runke, H., & Kandel, A. (2002). Hybrid methods in pattern recognition. Berlin: Springer Verlag.
  6. Stewart, T. (1999). Brainpower. Retrieved from https://money.cnn.com/magazines/fortune/fortune_archive/1991/06/03/75096/.
  7. Vovkanych, S., & Semiv, L. (2008). Human and intellectual capital in the knowledge economy. Bulletin of the National Academy of Sciences of Ukraine, 3.
  8. Sytnyk, Y. (2012). The impact of intellectualization on the management process of innovative enterprises. Bulletin of Lviv Polytechnic National University, 725(63), 372-378.
  9. Hudson, W.J. (1993). Intellectual capital: How to build it, enhance it, use it. Toronto: John Wiley & Sons.
  10. Chukhno, A., Yukhymenko, P., & Leonenko, P. (2007). Modern economic theories: Textbook. Kyiv: Znannia.
  11. Schwab, K. (2016). The fourth industrial revolution. Geneva: World Economic Forum.
  12. Pozhuev, V.I. (2009). Intellectual capital as a strategic potential of the organization. Humanitarian Bulletin of Zaporizhzhia State Engineering Academy, 37, 22-29.
  13. Cherniavskyi, A.D. (2006). Methodological approaches to the creation of organizational forms of management. Economy and State, 8, 23-25.
  14. Petrenko, V.O., Rudchenko, O.V., & Berkovskyi, Ye.O. (2019). Problems of forming the system of intellectual security of the enterprise. Legal Scientific Electronic Journal, 6, 134-138.
Share
Facebook
Twitter
LinkedIn
Email
Telegram
Viber
WhatsApp

https://doi.org/10.33744/0365-8171-2024-115.1-174-182

Address
01010, Ukraine, Kyiv,
1, M. Omelianovycha-Pavlenka Str.


Email
ntu@arrcjournal.org

Main information
  • Aims and Scope
  • Indexing
  • Terms of Publication
  • Editorial Board
  • Publication Ethics
Additional information
  • Complaints Policy
  • Peer Review Process
  • Open Access Policy
  • Anti-plagiarism Policy
  • Generative AI Policy
  • Archiving