Development of an algorithm for managing innovative projects of knowledge-intensive organizations
Year: 2024
Type: article
Abstract: Aim. Development of an algorithm for managing innovative projects of knowledge-intensive organizations based on project typing and assessment of the level of management effectiveness. Objectives. To determine the features of innovation project management of Russian knowledge-intensive organizations; to develop a system of indicators; to form an integral indicator of the level of efficiency of innovation project management; to provide recommendations on the application of tools for different types of innovation projects of knowledge-intensive organizations. Methodology. The research uses the following scientific methods: analysis of Russian and foreign sources, expert survey, methods of systematization and generalization. To solve the multicriteria problem, the author applied E. Harrington’s desirability function. The scientific and technological chain concentration index is calculated on the basis of the mathematical apparatus proposed by A. O. Hirschman and O. K. Herfindahl. Results. The author has developed an algorithm of innovation project management, adapted to the needs of knowledge-intensive organizations and distinguished by the availability of tools for implementing each stage of the algorithm. When applied in practice, this approach will simplify the use of development, increase the efficiency of innovative project management and the attractiveness of developments in the knowledge-intensive sector of the economy. Conclusions. The implementation of an algorithm for managing innovation projects of knowledge-intensive organizations provides valuable insights into the need for optimization in resource allocation depending on the project context. Organizations will be able to effectively overcome the difficulties of transformation and create the basis for the continuous implementation of innovative projects, relying on their own knowledge base about management.
Source: Economics and Management
Author: O. P. Orlova
Institution: ITMO University
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403623091