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Treffer: ФОРМУВАННЯ ІНТЕЛЕКТУАЛЬНИХ СИСТЕМ ІНВЕСТИЦІЙНОЇ ПРИВАБЛИВОСТІ БУДІВЕЛЬНИХ ПІДПРИЄМСТВ ТА ВИЗНАЧЕННЯ ВПЛИВУ НА НИХ СТЕЙКХОЛДЕРІВ.

Title:
ФОРМУВАННЯ ІНТЕЛЕКТУАЛЬНИХ СИСТЕМ ІНВЕСТИЦІЙНОЇ ПРИВАБЛИВОСТІ БУДІВЕЛЬНИХ ПІДПРИЄМСТВ ТА ВИЗНАЧЕННЯ ВПЛИВУ НА НИХ СТЕЙКХОЛДЕРІВ. (Ukrainian)
Alternate Title:
FORMATION OF INVESTMENT ATTRACTION FOR INTELLIGENT BUILDING ENTERPRISES AND DEFINITIONS OF STAKEHOLDERS’ INFLUENCE ON THEM. (English)
Source:
Financial & Credit Activity: Problems of Theory & Practice; 2022, Vol. 2 Issue 43, p193-201, 9p
Database:
Complementary Index

Weitere Informationen

The necessity of rethinking the approaches to ensuring the management of enterprises on the basis of forming a quantitative basis for making sound management decisions is determined. In addition, there are ambiguous processes in the economic country that are characterized by a lack of system and clear anti-epidemic actions and lead to an increase in the number of patients. It is established that, in such conditions, the use of modern intelligent systems to ensure the investment attractiveness of enterprises as important elements for their growth and development of the country's economy is of particular importance. Generalizing the existing theoretical and methodological provisions, it is proposed to define intelligent systems as a modern complex toolkit based on the use of artificial intelligence, using technological means of developing expert, recommendatory, intelligent information retrieval, calculation, and logic systems based on information base, that is aimed at solving problems., defining algorithms, and software systems, that can replace a person and create a basis for decision making. To assess the investment attractiveness as an important factor in the development of construction companies, it is proposed to apply an integrated approach based on a multilevel system of indicators determined by local and generalizing factors. Stakeholders of construction enterprises and their types are defined, and local and integral models for estimation of the level of interaction of stakeholders are offered. Based on the application of methods of economic and mathematical modeling, the level of influence of the level of stakeholder interaction on the investment attractiveness of construction companies is determined. This allowed forming a quantitative basis for the development of intelligent systems in the context of making sound management decisions. [ABSTRACT FROM AUTHOR]

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