Scientific institutions and the business community as key elements of the innovation system
This paper examines the notion of the innovation process and the place of research institutes and universities in the innovation system. The role and functions of the entrepreneur and business communities in the innovation system are defined.
Articles of the collection are devoted to the analysis of trends and directions of research in the field of innovation and entrepreneurship. The issues of the current state of development of entrepreneurship, innovation, human resource management, marketing, regional development, public administration, under conditions of digitalization and pandemic COVID-19 are investigated. The collection is of interest to economists and sociologists, teachers, students and postgraduate students.
The tutorial summarizes modern concepts and approaches in the field innovation management and is designed to study training courses on management of the innovation process. This publication is based on materials lectures and seminars on the subjects of innovation management, management innovative enterprises and management of innovative projects that the author spent a number of years for students of the Higher School of Economics, as well as based on my own numerous publications in scientific journals and monographs. The material contributes to the formation of the listeners' competencies defined Federal State Educational Standard or Higher Education direction of training "Management". The study guide is intended for students of higher educational institutions, students in the direction of "Management", and can also be used leaders and specialists involved in managing the innovation process in organizations of various profiles.
Monitoring trends is a key requirement for national and corporate policy makers to stay up-to-date with socio-economic and technological transformations, to anticipate emerging developments at the global and local levels, and to use this intelligence to prioritize areas for innovation and investment. This chapter aims at discussing how the results of trend monitoring can be integrated into the process of Science, Technology and Innovation policy formulation and business Research & Development planning processes. The chapter starts with an overview of the relevant innovation literature that gives a background in a broader theoretical context, where the technology monitoring activities can be better justified conceptually. This background provides to generate two models, which will portray positioning and functioning of Global Trend Monitoring in the policy and business planning process. Some practical aspects of how and in what form the results of Global Trend Monitoring should be provided to the target communities of policy makers and business planners are elaborated throughout the chapter.
The technology of the comparative analysis of innovation systems of the subjects of the Russian Federation is proposed. The technology is based on usage of non-parametric approaches to metric multidimentional scaling. General technology is illustrated by econometric comparison of the sunjects of the Russian Federation in the direction of "Technological innovations" using data from official statistics.
In recent years, links between spatial proximity, and firms’ formal and informal contacts have become a sufficient subject for research in the field of innovation, competitiveness and sustainable economic growth. We introduce a model for the quantitative evaluation of the relationship between cluster participation and innovation capabilities, as well with a company’s growth in value. The paper focuses on comparison in mutual effects for companies from transitional and developed economies. We use a sample of 284 traded European companies between 2005 and 2009 which were carefully applied and subjected to panel data analysis techniques. Our empirical findings show the positive mutual effects on innovation capabilities measured as intangible assets and companies’ economic value added for both transitional and developed economies. Hereby these links are stronger in developed countries. Moreover, we identify the complementary factors to clustering, such as industry-level public R&D expenses, country innovation infrastructure development and location in a megalopolis.
The article considers the development of a model of the innovation process to support effective management of innovative enterprise in accordance with the strategic objectives and requirements of internal and external environment, the development of a conceptual model of the innovation process and its subsequent automation. In particular automation of interactions within the innovation process, based on the methods of support for distributed semi-structured processes is proposed. A main feature of such processes is the focus shift from a strictly deterministic flow of work to the purposes of the process and its performers - knowledge workers, united in a community of experts.