INFORMATION SUPPORT FOR THE MANAGEMENT OF INNOVATIVE PROJECTS IN THE DIGITAL ECONOMY
Abstract
The article aims at presenting the concept of information support for innovation project management in the digital economy. The relevance of the topic under study lies in the need for continuous improvement of innovation project management models that use modern software. In the course of the study, general scientific methods such as analysis and synthesis, induction and deduction, comparison and generalisation, systematic approach, and graphical modelling methods were used. Information support of innovative projects, in particular, the formation of a metadata cube for management optimisation, is considered on the basis of a systematic approach. Four types of project management software are described in detail: specialised project management solutions; components of integrated platforms; complementary tools; industry-specific project management solutions. On the basis of analytical materials from the world's leading online platforms Capterra, G2 and Software Advice, the article classifies the functionality of software for managing innovation projects through the prism of types of management information. The metadata model proposed in the article can be used to build an individual company information support system that forms a corporate knowledge base. Such a knowledge base should visualise and analyse individual data on all innovation projects, as well as group, visualise and analyse data by individual: types of innovation, types of innovation projects and types of management information. The paper also provides practical recommendations for domestic companies on the choice of the world's most popular project management software products. The article is aimed at improving the understanding and implementation of modern information technologies in the practice of project management, which will help to increase the efficiency and competitiveness of companies.
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