Оlena Chukurna

Management of innovation processes is one of the functions of local governments and, therefore, they should be the initiators and moderators of communication between research organizations and enterprises. The program formation of agglomeration innovative development involves the creation of promoting innovation body, which allows to achieve the maximum involvement degree of all the participants in the innovation process. The article is devoted to the research of urban agglomeration innovative development, the need to create a special body or center for innovation, which will form a set and interconnected, and will be integrated into the urban agglomeration and carry out innovation and technological activities as part of research and production infrastructure. The article develops a method for predicting the effectiveness of the advancement of this body through the digital space using trend models. It is expected to receive three forecasts: optimistic, realistic and pessimistic. This will accelerate the establishment of links between the players of the regional innovation market and contribute to a qualitative change in the spatial and functional structure of urban agglomerations. The development of information and communication technologies allows to create effective systems that will stimulate the agglomerations innovative development . Therefore, the communicative activities of regional governments should be carried out through the use of information and communication technologies. Thus, the urgency of developing a methodology for assessing the increase of the innovative component of agglomeration economic development is due to the low percentage of implementation research results, low science-intensive gross value added in the Ukrainian regions, the possibility of using information and communication technologies. Increasing the number of targeted visits will simplify and speed up the process of establishing links between innovation market players at the agglomeration spatial level in both the short and long term

The article is devoted to the problem of designing recycling in sustainable logistics systems in the field of processing wastewater treatment waste - municipal sewage sludge (MSS) in the focus of information technology management . The essence of the developed and proposed wastewater treatment project is based on its integration into the city's public utilities system, which will be a single basis for a closed-type logistics system that is managed on the basis of the introduction of a unified information system. This approach to the design of sustainable logistics systems ensures the formation of a closed material and informational logistics flow according to the "supply of raw materials - production - product distribution". This allows solving two problems: ensuring the creation of a closed logistics system that is managed by a single information base and developing a new type of fertilizer. The solutions proposed in this project in the implementation of the MSS processing project are complex and allow implementing all areas of the sustainable development strategy in the aspect of implementing modern information systems. The design technology makes it possible to completely close the logistics cycle for the supply and processing of MSS into finished products in the form of organic fertilizers

(1) Background: The article proposes a methodical procedure for assessing the risk of implementing the diversification strategy of an industrial enterprise based on of management information technologies. The result of which was the improvement of the solution of practical tasks of the diversification strategy with the help of economic and statistical modeling; (2) Methods: the article proposes a methodology for assessing the risk of implementing a diversification strategy, which is based on modeling a portfolio of strategies using economic and statistical indicators: mathematical expectation; dispersions; covariances; (3) Results: As a result of the approbation of the methodical approach, the issue of optimization of complex diversification plans of enterprises in the conditions of the implementation of information technologies was considered. This approach is based on achieving such a structure of diversification of the enterprise, when the expected efficiency will be the maximum possible, and the expected risk will be the lowest. The solution to this problem was realized on the example of product diversification, when the enterprise decides to open the production of several heterogeneous goods; (4) Conclusions: It was concluded that combinations of key success factors distinguish one segment from another, then there are always factors that are part of several or many areas. The obtained calculations showed the possibility of using this methodical approach when assessing the risk of implementing a diversification strategy in the conditions of the introduction of information technologies. The possibility of its use in the context of justifying the choice of a variant of a diversified production portfolio of an enterprise organized on the basis of management information technologies is considered.

This paper examines the effectiveness of implementing artificial intelligence (AI) in the Google Ads advertising service. The study analyzes the advantages and disadvantages of AI integration, focusing on attribution models and end-to-end analytics. The findings show that traditional metrics, such as CTR, CPC, and ROI, used to evaluate advertising campaign performance, exhibit significant statistical errors when AI tools are applied, with errors reaching up to 35%, exceeding typical business margins. A comparative analysis in the construction industry highlights discrepancies of 10% to 35% between traditional and AI-driven models. The study concludes that universal AI algorithms often fail to account for industry-specific dynamics, leading to inaccurate evaluations. The practical significance of this research lies in proposing an alternative approach that combines traditional evaluation methods with AI-based tools, offering a more reliable framework for assessing campaign effectiveness