Креативные компетенции и интеллектуальная собственность при переходе к инновационной экономике
It is substantiated that creativity is a key competence in the transition from a commodity to an innovative economy. It is shown that intellectual property (IP) becomes the basis of the capitalization of creative potential. It is concluded that Russia's regions are not involved in the commercialization of IP rights. Breaking down barriers and dampening negative trends requires legal support and the advance of IP training programmes at regional universities.
This is a collection of works prepared by the participants of the 2011 Summer School "Creative Industries and a Creative Economy: Developing Academic and Applied Interdisciplinary Research and Projects" - fellows of the Oxford Russia Fund and project experts. Texts gathered together here will be of interest and useful to anyone who would like to become further acquainted with the theories and practices of creative industries and the creative economy, and will help paint a clearer picture of what is happening both within Russia and abroad.
Purpose – The purpose of this paper is to introduce findings of comparative analysis and various models based on cultural heritage resources to foster regional development.
Design/methodology/approach – Comparison of operational schemes, market positions and branding of three successful cultural heritage centers in Germany, Great Britain and Russia demonstrates a variety of regional development models based on cultural resources and tourism development, and reveals their advantages and disadvantages.
Findings – The paper evidences the potential of cultural resources and the tourism sector as drivers for regional development, and helps formulate basic recommendations for the Russian situation requiring elaboration of adequate financial and social instruments.
Originality/value – The paper provides a complex analysis of different operational models in three European countries with regard to specific national situations and specificity of heritage operational management.
The author considers the distinctive features of human factor in the innovation process management at industrial enterprises. He focuses on the cognitive and functional competences of a successful innovation manager. The basis of modern economy is involving creative activity in economic usage. Today in the struggle for the consumer acquisition of competitive advantages is impossible without building up the innovation environment at the enterprise, the essence of which lies in the commercialization of innovation activity.
Companies are increasingly paying close attention to the IP portfolio, which is a key competitive advantage, so patents and patent applications, as well as analysis and identification of future trends, become one of the important and strategic components of a business strategy. We argue that the problems of identifying and predicting trends or entities, as well as the search for technical features, can be solved with the help of easily accessible Big Data technologies, machine learning and predictive analytics, thereby offering an effective plan for development and progress. The purpose of this study is twofold, the first is an identification of technological trends, the second is an identification of application areas and/or that are most promising in terms of technology development and investment. The research was based on methods of clustering, processing of large text files and search queries in patent databases. The suggested approach is considered on the basis of experimental data in the field of moving connected UAVs and passive acoustic ecology control.