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Industries are able to have the considerable impact on the environment. In this regard in modern conditions, when environmental friendliness is so relevant, the considerable attention is paid to the innovative development of the industrial enterprises. But investments into innovations in turn demand the careful analysis of the innovative projects. According to the authors, the methods, widespread in practice of the investment projects assessment can be used for the assessment of innovative projects in industries, but they need some adaptation. Besides, the majority of techniques of assessment consider only separate criteria of the selection of projects for realization. But the specifics of innovative projects demand another approach; they demand a complex research of appeal of the innovative project, including not only financial performance, but also technical quality, environmental safety, economic and budgetary effectiveness, social effect, risk analysis and also the analysis of reliability and appeal of the enterprise, initiating the project. Thus, the purpose of this article was to present the algorithm of the complex analysis of the innovative project. The received results and the made recommendations can be used by potential investors as a technique of assessment of the investment attractiveness of the innovation projects in the industry.

The development of conceptual models of a digital city poses numerous challenges for developers. The public sector concept model has become one of the most difficult models to use. When developing algorithms to find a solution, the multidirectional interests of businesses and public institutions are combined. This type of model reflects the most acute and urgent problems faced by megapolises with regard to combining numerous localized services provided to the community in a limited territory. The administrations of both cities and regions (the scale of the smart territories) must make decisions concerning overcoming the barriers existing between the profits of commercial structures, the negative externalities generated by their activities, and the social benefits to the population in the territory under their control. It is necessary to solve this problem to achieve the effective management of enterprises belonging to the segment of long-term participants in various business activities, interacting with the surrounding social and business environment in a complex. This study takes into account the complex structures of the economic processes characteristic of megacities. The periodicity of economic processes is also taken into account. When choosing an optimization criterion, functions reflecting the level of internalization of responsibility for external effects were considered. The authors propose a mathematical model that can be used as part of the management decision support systems software, aiming at taking into account the externalities of a wide range of national, institutional, business, and social activities.

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This study aims to develop scientifically sound proposals and recommendations for implementing the principles and characteristics of digital monopolies and determine the patterns and relationships of individual products. To achieve the goal, methodological approaches used included correlation analysis. The results are methodological justifications to determine the key principles of digital monopolies within the service approach. The scientific novelty of the results is to identify the synergetic relationship of individual products of digital companies, which can be used to build an appropriate antimonopoly policy of the United States. The practical significance of the results consists of approbation of the proposed principles of digital monopolies on the example of the relationship of Google’s selected products.