Goal: To develop a systematic methodology for decision support in the analysis of the market (for example, the IT market). The analysis of the market of information and communication technologies of the Russian Federation and the adoption of an effective management decision on the choice of IT companies for possible investment. Based on the research conducted, it is possible to make an effective management decision to select an IT company for possible investment, as well as to choose the direction of development and strategy of the company's IT.

The article describes the issue of IT-project management at industrial enterprise under conditions of fast changing external environment. Very often projects are implemented without the necessary grounds and selection of certain IT-development task, detailed planning and elaboration of the main stages of project that may adversely affect its results. Management of creation and implementation of informational systems faces many troubles such as rescheduling, improper quality of works, exceeding of budgeted costs etc. To prevent such troubles the approach has been developed to help in performing detailed planning at the early stages by determining work and project quality monitoring methods, risk assessment, means of communication within the project team.

Modern logistics requires effective solutions for the optimization of intermodal transportation, providing cost reduction and improvement of transport flows. This paper proposes a multi-objective optimization method for intermodal freight transportation planning within the framework of sustainable service network design. The approach aims to balance economic efficiency and environmental sustainability by minimizing both transportation costs and delivery time. A bi-criteria mathematical model is developed and solved using the Non-dominated Sorting Genetic Algorithm III (NSGA-III), which is well-suited for handling complex, large-scale optimization problems under multiple constraints. The aim of the study is to develop and implement this technology that balances economic efficiency, environmental sustainability and manageability of operational processes. The research includes the development of a two-criteria model that takes into account both temporal and economic parameters of the routes. The optimization method employs the NSGA-III, a well-known metaheuristic that generates a diverse set of near-optimal Pareto-efficient solutions. This enables the selection of trade-off alternatives depending on the decision-maker’s preferences and specific operational constraints. Simulation results show that the implementation of the proposed technology can reduce the costs of intermodal operators by an average of 8% and the duration of transportation by up to 50% compared to traditional planning methods. In addition, the automation of the process contributes to a more rational use of resources, reducing carbon emissions and increasing the sustainability of transportation networks. This approach is in line with the principles of sustainable economic development, as it improves the efficiency of logistics operations, reduces pressure on infrastructure and minimizes the environmental impact of the transport sector. Route optimization and digitalization of transport processes can increase resource efficiency, improve freight flow management and contribute to the long-term stability of transport systems. The developed technology of automated planning of intermodal transportation is oriented to application in large-scale production systems, providing effective management of cargo flows within complex logistics chains. The proposed method supports the principles of sustainable development by providing a formal decision-making framework that balances transportation cost, delivery time and environmental objectives. Instead of optimizing for a single goal, the model enables the identification of efficient trade-offs between economic performance and ecological impact. Moreover, by generating multiple routing scenarios under varying operational constraints, the approach enhances the adaptability and robustness of freight transportation systems in dynamic and uncertain environments.

Presentation of the models for comparative analysis of innovation, based on the use of information approach by A.A. Denisov. The models allow assessing the importance of innovations with regard to their impact on the purpose and likelihood of their implementation, by analyzing the development of innovations in time and taking into account their mutual influence.

The report focuses on the problem of assessing the need of implementation of information systems in the modern company. As an example the results of analysis of the management system in company “RAND” (St. Petersburg) is given, and “bottlenecks” where automation is necessary in this company are revealed. The project of information systems implementation in the company was designed. The methodology SAT GEM, system approach, methods of the complex examinations are used. In the second part of the work the two groups of methods used in team management practice are explained: methods and models based on the structural (target-oriented) approach; and methods based on personal (psychosocial) approach. Recommendations of using these groups of methods in managing project teams are given.