Formation of blocks of categorial apparatus of construction industry

Authors

DOI:

https://doi.org/10.15587/2312-8372.2017.113175

Keywords:

construction industry, construction complex, construction organizations, construction, blocks.

Abstract

The object of research is the formation of blocks of the categorical apparatus of the construction industry to determine the strategic guidelines for development of construction. The need for criticality to the variable parameters of the construction complex requires the effectiveness obtained by mathematizing and modeling the formalized data.

In the course of the research, a comprehensive approach to the analysis of the conceptual apparatus is used, which determines the main directions for strategic development of construction in general. The need for an integrated approach is confirmed by the experience accumulated by science and practice.

The formed modular base of the indicative space of the conceptual-categorical apparatus of construction makes it possible to focus further research in direction of stable development.

Thanks to the formed blocks of the indicative space, the combined tools and tools for designing, developing and improving complex analysis in resource unity allow to evaluate the feasibility of construction activities, that is, they have the property of representability. The direction of actions through goals, functions, principles, i. e. the procedural component coordinates the sequence and interrelation of the construction stages.

Author Biography

Olga Zalunina, Kremenchuk Mykhailo Ostrohradskyi National University, 20, Pershotravneva str., Kremenchuk, Ukraine, 39600

PhD, Associate Professor

Department of Management

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Published

2017-09-21

How to Cite

Zalunina, O. (2017). Formation of blocks of categorial apparatus of construction industry. Technology Audit and Production Reserves, 5(4(37), 9–13. https://doi.org/10.15587/2312-8372.2017.113175

Issue

Vol. 5 No. 4(37) (2017): Economics of enterprises

Section

Economics and Enterprise Management: Original Research

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Copyright (c) 2017 Olga Zalunina

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