The dissertation is devoted to the development of theoretical positions and the substantiation of recommendations and implementation of the economic-organizational model for the formation of an intellectual construction product.
In this work an analysis of foreign and domestic concepts of the formation and use of intellectual construction product is conducted, in particular, the development of conceptual approaches to its use and the consideration of peculiarities of functioning of construction organizations are of special importance, which made it possible to analyze on the basis of the generalization of the scientific positions common in the economic literature and to determine that the latter embodies newly created modern technologies, technology, products, as well as organizational and technical solutions, use as allows the company to occupy a leading position and competitive advantages in the markets.
The system of life cycle management of the intellectual construction product oriented to the licensing strategy is proposed, its functional structure is determined. All elements of the life cycle management of the intellectual construction product have a single information space. It should be noted that at all stages of construction activity there is an intellectual construction product whose weight depends on the cost of a particular stage of the life cycle, namely: scientific research, patenting or commercialization, the question arises about managing the results of the organization in the main stages of the life cycle of intellectual products. The life cycle of an intellectual product is a collection of time periods from the emergence of innovation to the withdrawal from production and sale. Moreover, in the generalized sense, not a separate product, but a complex of products that are in a continuous innovation process should be understood.
It has been determined that the intellectual construction product is the basic component of the company’s goodwill formation, which is estimated as the difference between market and book value of assets, the level of which is determined by the synergetic and cognitive ability of the company’s staff to increase the comparative competitive positions of the organization in the segment of the specialized construction market works. The classification of intellectual building products of the company was carried out by means of identifying vintage, brand, human, organizational, and innovation-technological components that, unlike the known ones, make it possible to carry out cost estimation and provide economical and analytical support for the component formation of the goodwill-asset of construction organizations.
The method of analysis of the informative characteristics of the input data of training of network traffic is studied, which allows to reduce expenses for calculations in training and probabilistic deductions when choosing the number of variables in probabilistic models with a given threshold of selection. The developed method allows to estimate the level of future value of investments in the intellectual construction product, to predict the change of levels of interconnected factors, to form scenarios of possible investments and their consequences. The use of the method allows efficient use of existing resources to control the risks of investment and solve the problem of their redistribution, taking into account the interplay between factors.
The structure of the Bayesian trust network is proposed for optimization of intellectual building product parameters. Software is developed and implemented that implements models and algorithms of decision support system based on the functioning of dynamic Bayesian networks. This study will allow the development of recommendations for improving the investment project scenarios in an intelligent construction product in order to obtain the maximum future value.
The economic-organizational model of the formation of an intellectual construction product, which works adequately at all stages of use and can be expanded for more accurate description of various aspects, has been developed. The developed method of creating the Bayesian trust network allows to estimate the level of future value of the intellectual construction product, to predict the change of investments depending on the factors, to develop scenarios and their financial consequences.
Keywords: intellectual construction product, life cycle, building organization, Baesov trust networks, investment project, investments, probabilistic modeling, economic-organizational model.
