Commercialising Public Research under the Open Innovation Model: New Trends
Public research plays an extremely important role in social and economic development, and has implications for industry, services, education, training, the creation and diffusion of knowledge, management etc. In turn, R&D and innovation activities in the business sector are becoming increasingly open. Being influenced by increasingly tightened global competition, companies are entering into partnerships with other companies, universities or public research institutions (PRIs) to leverage competences from different places and organizations to foster innovation. The search for partners and the management of many co-operations itself are new challenges especially in terms of administering intellectual property rights. Universities and PRIs must respond to the changing requirements imposed by companies while maintaining their unique positions as research and science related institutions. The overall framework conditions for these actors are changing, which in turn requires new government policies especially given the slowdown in key performance indicators of the commercialization activities of PRIs.
The paper highlights recent trends and approaches related to knowledge and technology transfer from public research and education to industry. It considers legislative initiatives to target industry engagement and research personnel, new technology transfer office models, collaborative intellectual property (IP) tools, and initiatives to facilitate access to public research results. The authors stress that the quality of research has a strong influence on knowledge and technology transfer. In turn, contrary to the widespread belief that knowledge and technology transfer activities might negatively impact scientists’ academic work several studies found evidence that the engagement of scientists in technology transfer and commercialization activities does not have negative impacts on the quality and quantity of academic research. In fact, scientists who are actively engaged in technology and knowledge transfer, i.e. through patenting, also enjoy a high scientific reputation and in most cases do excellent scientific work.
Proceedings of the scientific-practical conference with foreign participation. 23-24 March 2015
In this article the possibility for improving the dynamic capabilities of the domestic enterprises by tools of Lean management system is considered. The impact of the mentioned system in the big Russian enterprise ‘KAMAZ’ is evaluated. Lean management is a world-spread way of solving the problems, aimed at making the company competitive. It is the organized activity of staff of the company focused on reduction of expenses, maximizing value of production for the consumer and the added value for business.
The paper investigates the process of evolutionary transformation of cooperation and integration modes of industrial and construction enterprises in St.-Petersburg. The study has been performed at the period since 1998 to nowadays. The network form of integration was chosen as the main objet of this research. The paper is aimed at identifying the path of knowledge management development in different types of networks.
One of the peculiarities of the network form of integration is the high level of independence of the network participants that interact with each other. Key issues in this cooperation would be the following:
How to organize an effective transfer of knowledge and technologies within a network?
How to find a balance between open systems of innovation and the protection of the intellectual property of network participants?
How to evaluate the intellectual capital of a network? Is it necessary to make an assessment for each participant separately? Should one take into account synergies that increase the value of the intellectual capital because of the network participants’ interaction and knowledge sharing?
How to increase competitiveness of each company and of the whole network by the effective use of the intellectual capital?
How to measure the impact of open innovations on the intellectual capital of the companies interacting within a network?
Thus, it is important to reveal how knowledge management system is developing within a network of inter-related enterprises.
On the base of interviews of top-managers of companies in industrial and construction companies there were identified five different types of networks and knowledge management systems within these types. It is demonstrated how the knowledge management model is growing and becoming mature from the amorphous type of network cooperation to the integrated type. Factors, influencing this evolutionary development, have been revealed. Also, the paper proposes an approach to the evaluation of knowledge management systems based upon the value-based management indicators.
International cooperation of experts, teachers of higher educational institutions is of great importance for long periods of time. The message described a five-year experience of international cooperation of the United editorial Board of scientific journals (UEBSJ) as an integrative platform between Russian and foreign universities. First and foremost there are strong research links through the publications of UEBSJ between the Bulgarian and Uzbek universities.
Data Envelopment Analysis is not very well applicable when a sample consists of firms operating under drastically different conditions. We offer a new method of efficiency estimation on heterogeneous samples based on a sequential exclusion of alternatives and standard DEA approach. We show a connection between efficiency scores obtained via standard DEA model and the ones obtained via our algorithm. We also illustrate our model by evaluating 28 Russian universities and compare the results obtained by two techniques.
In this paper, we discuss the methods of endowment management existing in the world and their applicability to the Russian university system. The endowment spending research focuses on the following issues: reinvesting endowment income; identifying the size of expendable endowment income; using the endowment body, not onlyincome; choosing endowment spending policy, rule and rate endowments, etc. We provide an overview of endowment fund financial indicators and endowment spending allocationin Russia. Based on the example of the HSE Endowment Fund, we analyze the use of endowment spending rulesand model of financial indicators for 2008–2014. The University’s Endowment Fund endowment spending policies implement the preservation principle, which may be reasonable in a stable economy. However, the viability of the principle is questionable in the crisis, the more so since the endowment is mostly in rubles. Using net asset valuation methods, the HSE Endowment Fund could provide equity betweengenerations with annual distribution of income in favor of the next and current generations.
This paper studies technology creation and transfer of 95 Russian research and technology organisations (RTOs) into producer organisations in agriculture and mining. Previous findings suggested that in agriculture, the barriers for technology adaption are particularly high due to technological conservatism and the atomic structure of the industry. Although RTOs in agriculture publish more and register more patents, they struggle to translate their success into transfer activities. While technology transfer in mining goes well hand in hand with applied research, RTOs in agriculture either build on new technologies or generate revenues through ready-to-use services. The explanation for this rather short-term oriented demand for services of Russia's RTOs lies in the financial situation of client organisations. The vast majority complain about their dire lack of financial means to pay for new technologies. Consequently, agricultural producers do not generate enough revenues to pursue future opportunities, with far reaching consequences. The situation could get better if the RTOs and the client would agree to longer-lasting relationships.
The Global Innovation Index (GII) aims to capture the multi-dimensional facets of innovation and provide the tools that can assist in tailoring policies to promote long-term output growth, improved productivity, and job growth. The GII helps to create an environment in which innovation factors are continually evaluated. In 2016, the theme for this year’s edition of the GII is: ‘Winning with Global Innovation’. Science and innovation are more internationalized and collaborative than ever before. The GII 2016 explores global innovation as a win-win proposition; a rising share of innovation is carried out through collaborative networks, leveraging talent worldwide.