Technologies determine the level of innovative development and economic growth. The article studies a methodological platform for a new unit of analysis in economic science such technological system. This phenomenon involves the research program, the study of the specifics and features this mesolevel pattern. The methodological basis of the research includes Neoclassical and Neoinstitutional Economic theories, Strategic Management and Complexity Economic. The research program we apply a Heterodox approach as a set of the Contract theory, Evolutionary theory, Complexity Economic and Platform ecosystems. The authors define a technological system as an economic meso-level pattern that coordinate actions and knowledge about system and component technologies and functioning through the quasi-self-enforcing contracts based on standards and independent of property rights. Any meso-level pattern that has technological and institutional identity is a technological system. The types of technological systems in the economy are highlighted on the basis of the consolidated classification “blurring of the bundle of property rights to technology – the degree of technology decentralization”. The results create the basis for further research of identifying boundaries and analyzing the competitiveness of technological systems, as well as assessing public administration strategies in this area.

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Статья посвящена оценке возможностей применения контрактных форм ГЧП и специальных инвестиционных контрактов при реализации комплексных инвестиционных проектов развития отдельных территорий в Российской Федерации. Рассматриваются дискуссионные моменты применения механизма реализации контрактных форм государственно-частное партнерства, в частности, специального инвестиционного контракта в современных условиях развития экономики. Предлагается авторское видение механизма реализации комплексных инвестиционных проектов, основанное на апробированной экономической модели и оценке их эффективности.

Due to the external environment being unpredictable and dynamic, the business model becomes obsolete in a short time and its logic loses effectiveness. This seriously threatens business continuity and affects income flows. The paper develops indicators for assessing the effectiveness of business models. Methodologically, the study rests on the stakeholder theory, valuebased management and technological growth theory. The work uses mathematical methods for calculating financial and economic indicators, as well as a general scientific method of analysis. To test the metod, we examine 188 companies operating in the high-tech and medium-tech industry markets. Having systematized the theoretical positions, we conclude that the evaluation of business model effectiveness should be based on measuring the sustainability of the value created for various groups of the company stakeholders. This allowed us to propose a set of indicators of business model effectiveness built on yield spread and factor productivity. The program of empirical evaluation also included an indicator of the value of intellectual capital, computed on the basis of the company’s profitability deviation from the market norm. The author supposes that, by producing intellectual and relational rents, intangible capital helps increase the effectiveness of the business model, which is reflected in all sustainability indicators. The research results prove the analytical value to be satisfactory. In total, the high-tech market business models are more efficient. The distribution of performance indicators met the assumptions about the impact of a fragmented environment: a more homogeneous industry environment is instrumental in aligning business model performance. The findings of the study are of practical importance for business and contribute to the construction of a control system based on business model effectiveness management.

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