SECTORAL DIFFERENCES IN TECHNOLOGY TRANSFER

2016 ◽  
Vol 20 (02) ◽  
pp. 1650020 ◽  
Author(s):  
THOMAS WOLFGANG THURNER ◽  
STANISLAV ZAICHENKO
Keyword(s):  
Technology Transfer ◽  
New Technologies ◽  
Influence Factors ◽  
Innovation System ◽  
High Tech ◽  
Russian Regions ◽  
Economic Activities ◽  
Clear Vision ◽  
Sectoral Differences ◽  
Russian Research

This paper studies sectoral differences in technology transfer of 170 Russian Research and Technology Organisations engaged into technology transfer to agriculture, mining and quarrying, high-tech, medium-high-tech, medium-low-tech and low-tech industries. RTOs in these five groups do not overlap by customers’ economic activities and are representative for all Russian regions. Certain factors have in fact opposite effects in different sectors. A customer without a clear vision is perceived as a curse by one sector, but by another one perceived as a blessing. Another such factor is the high economic risk of the application of new technologies. Furthermore, we proved the presence of influence factors which show the same effects with different degrees of intensity depending on the sectors. Thereby, we also provide insights into Russia’s innovation system.

Research and Technology Organizations (RTOs) in the primary sector

2014 ◽  
Vol 17 (3) ◽  
pp. 292-310 ◽  
Author(s):  
Thomas Wolfgang Thurner ◽  
Stanislav Zaichenko
Keyword(s):  
Technology Transfer ◽  
Oil And Gas ◽  
Public Funding ◽  
Innovation System ◽  
Economic Activities ◽  
Russian Market ◽  
Content Type ◽  
Fine Grained ◽  
Primary Sector ◽  
Competitive Funding

Purpose – Given the immense gains in productivity in agriculture and mining over the last decades, the purpose of this paper is to study knowledge transfer from Research and Technology Organizations (RTOs) into primary sector producers. The authors inquire which of these RTOs are successfully competing for public funding, and how these funds are used. Also, the authors study what makes an RTO more (financially) successful in technology transfer than their peers and which RTOs transferred technology that was new to the Russian market. Design/methodology/approach – This research is based on 62 RTOs which reported technology transfer to enterprises with main economic activities classified by NACE rev 1 as “A – agriculture, hunting and forestry” and “B – fishing” and “C – mining and quarrying,” including oil and gas extraction. Findings – The authors found remarkable differences between the Russian RTOs and their OECD peers, but also differences between agriculture and mining. Interestingly, competitive funding plays a different role in both industries. In agriculture, a more conservative funding paradigm prevails, and competitive funding is less important and more reliance on classical annually revolving funds is given. Competitive funding here is more used to strengthen basic R&D and to generate patentable knowledge, while in mining, these funds support technology transfer. Originality/value – This is, to the knowledge, the first detailed study on Russian RTOs servicing her primary sector. The authors believe that studying these RTOs is of great value as RTOs are broadly under-researched and various scholars have called for more fine-grained analyses to better understand their role in the innovation system.

ANALYZING INFLUENCE FACTORS OF TECHNOLOGY TRANSFER USING FUZZY SET THEORY

2010 ◽  
Vol 07 (01) ◽  
pp. 71-87 ◽  
Author(s):  
WEN-HSIANG LAI ◽  
CHIEN-TZU TSAI
Keyword(s):  
Technology Transfer ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
New Technologies ◽  
New Technology ◽  
Influence Factors ◽  
Analytic Hierarchy ◽  
Support Mechanism ◽  
International Firms

In order to compete in the global environment, the ability and effectiveness of acquiring new technology are essential for firms, and most new technologies need and depend on the Technology Transfer (TT) from international firms and research institutes. Due to the complicity of influence factors of TT, such as features of industry, technology, organization, and talent, difficulties are encountered in evaluating the effectiveness of TT. This study develops a rule-based decision support mechanism using fuzzy set theory and the method of Analytic Hierarchy Process (AHP) to evaluate the effectiveness of TT. The characteristic of adopting fuzzy set theory is to construct the membership function for those features of influence factors and differentiate the indistinct linguistic terms in order to match true conditions. Finally this study discusses the hierarchical influence factors of TT and provides suggestions for machinery firms with respect to TT effectiveness.

scholarly journals Coupling Coordination between Technology Transfer in Universities and High-Tech Industries Development in China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Haining Fang ◽  
Qing Yang ◽  
Jinmei Wang ◽  
Xingxing Liu
Keyword(s):  
Technology Transfer ◽  
Generalized Method Of Moments ◽  
Innovation System ◽  
Absorption Capacity ◽  
Government Support ◽  
Productivity Index ◽  
High Tech ◽  
Coupling Mechanism ◽  
High Tech Industry ◽  
Evaluation Index Systems

Only through successful transformation and application in industries, technology achievements in universities can promote economic and social development. Meanwhile, technological progress in high-tech industries depends in part on universities’ technology achievements. Coupling coordination between technology transfer in universities (TTU) and high-tech industries development (HTID) is of great significance to the sustainable development of the regional sci-tech innovation system. In this paper, the coupling mechanism of TTU and HTID is analyzed and comprehensive evaluation index systems are established by using the evaluation indicator to screen and assign weights based on information contribution rate. The coupling coordination index (CCI) and productivity index (PI) are introduced to derive the spatiotemporal characteristics of the coupling and coordination of TTU and HTID from 2010 to 2019 in China and analyze its influence factors by System-Generalized Method of Moments (SYS-GMM). The results show the following: (1) the overall national TTU-HTID CCI shows a gradual upward trend and large regional differences; (2) CCI of most provinces is increasing, but the differences are widening; (3) the national TTU PI is in a state of volatility and decline, but the ability of TTU is still much higher than the level of HTID; (4) technological innovation in high-tech industries, high-tech industry technology absorption capacity, high-tech industry development level, industry-university cooperation, and technological finance development have significant roles in promoting the coupling coordination of TTU-HTID. Meanwhile, the sci-tech innovation level in universities, technology transferability in universities, government support, development of sci-tech intermediary, and development of other research institutions have no significant impact.

THE FEEDING OF THE NINE BILLION — A CASE FOR TECHNOLOGY TRANSFER IN AGRICULTURE

2015 ◽  
Vol 19 (02) ◽  
pp. 1550026 ◽  
Author(s):  
THOMAS WOLFGANG THURNER ◽  
STANISLAV ZAICHENKO
Keyword(s):  
Technology Transfer ◽  
Atomic Structure ◽  
Applied Research ◽  
New Technologies ◽  
Short Term ◽  
Agricultural Producers ◽  
Financial Situation ◽  
Russian Research

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.

Intellectual Property and Innovative Development: Problems and Trends

2021 ◽  
Vol 27 (4) ◽  
pp. 296-303
Author(s):  
S. V. Pavlova
Keyword(s):  
Technology Transfer ◽  
Intellectual Property ◽  
Russian Federation ◽  
Business Models ◽  
New Technologies ◽  
Innovation Process ◽  
Technology Licensing ◽  
High Tech ◽  
Property Market ◽  
The Russian Federation

Aim. The presented study aims to examine the development of intellectual property in the context of the innovation process.Tasks. The authors define the major prerequisites for the transformation of the institution of intellectual property; monitor the dynamics of trademark applications filed in the Russian Federation in 2016–2020; briefly describe factors influencing the commercialization of intellectual innovative developments.Methods. This study uses general scientific methods (the monographic method, analysis and synthesis, induction and deduction) and methods of structural, systems, and comparative economic analysis.Results. The analyzed trends in the development of intellectual property shows that the use of the ecosystem approach in technology transfer and constructive interaction between individual subjects of technology transfer will facilitate active development of the research potential of certain organizations and implementation of developments in production, while also strengthening the position of the Russian Federation in the global high-tech market. Comparative analysis of the global intellectual property market shows that international technology licensing grows by approximately 18% annually, while domestic technology licensing increases by only 10 % each year. Therefore, it can be concluded that intellectual exchange is one of the drivers of globalization. However, the recent trend towards increased regionalization raises the urgent issue of intensifying the creation of a national technology transfer ecosystem in Russia – one that would be closely linked to the national industrial ecosystem – in order to enhance the competitiveness of goods and services produced by Russian companies. There is an obvious global trend towards the transformation of traditional business models and the emergence of unified corporate, industrial, or national environments of cooperation chains aimed at developing new technologies.Conclusions. It can be argued that the development of intellectual property is one of the factors that determine the sustainable and progressive development of the innovation economy as a whole. This potential is realized through the commercialization of innovative developments and the protection of intellectual property. In view of the high importance of protecting national developments, it is advisable to support them within the framework of the national economic policy.

scholarly journals INNOVATIVE ACTIVITY OF GARMENT ENTERPRISES AS A FACTOR OF THEIR COMPETITIVENESS

2021 ◽  
Author(s):  
Alla Ternova
Keyword(s):  
New Technologies ◽  
Innovation Activity ◽  
High Tech ◽  
Highly Qualified ◽  
Economic Activities ◽  
Light Industry ◽  
Industrial Enterprises ◽  
Lack Of Information ◽  
Innovative Products ◽  
Industry Creation

The article analyzes the main indicators of innovation activity of industrial enterprises of Ukraine for 2014–2019. It is established that the share of expenditures on own research and development is consistently low, without showing a clear downward trend. It is shown that foreign trade in light industry goods in Ukraine is not balanced, as imports predominate over exports, which leads to an outflow of funds that can be spent on innovative development of the industry, creation of new high-tech jobs and training of highly qualified personnel. The annual deterioration of innovation indicators of light industry enterprises was revealed, which was caused by a low share of innovation-active enterprises in their total number, as well as a small share of innovative products in the total volume of light industry products. The number of innovatively active industrial enterprises by areas of innovation in 2014–2019 in terms of economic activities is analyzed. It is established that the highest indicator of expenditures on internal scientific developments in general in the industry of Ukraine, in processing and light industry was observed in 2016, the lowest – in 2019. Expenditures on external research in the industry as a whole ranged from 30.3 to 56.6% in relation to the expenditures on internal developments during the study period. The indicator for the processing industry is slightly lower (from 29.1 to 45.3%) and very low for the light industry (from 14.3 to 36.4%). It should be noted that in 2015, 2017 and 2019, external R&D was not carried out). The analysis of expenditures on innovations of industrial enterprises by areas of innovation in 2014–2019 showed that for all articles in light industry they are insignificant, and in some years either there is no data on them at all, or the data are not published. Factors that negatively affect the ability of light industry enterprises and garment enterprises in particular to carry out innovative activities (low innovative potential of industrial enterprises; lack of information on new technologies, lack of information on markets and lack of opportunities for cooperation with other enterprises and organizations). Some ways of development of innovative business for Ukrainian garment enterprises are indicated.

scholarly journals Spatial wage inequality and its sectoral determinants: the case of modern Russia

2019 ◽  
Vol 10 (1) ◽  
pp. 69-87 ◽  
Author(s):  
Marina Malkina
Keyword(s):  
Wage Inequality ◽  
Regional Differences ◽  
Value Added ◽  
Retail Trade ◽  
Spatial Inequality ◽  
Regional Economies ◽  
Russian Regions ◽  
Economic Activities ◽  
Sectoral Differences ◽  
Spatial Convergence

Research background: We assume that the dynamics of spatial wage inequality can be caused by both shifts in the sectoral structures of regional economies and changes in inter-sectoral and intra-sectoral (inter-regional) wage inequality. Purpose of the article: The paper is aimed at analysis of the sectoral factors influenced the spatial wage inequality in Russia in 2005-2014. Methods: The employment-weighted Gini coefficient was applied for assessment of spatial wage inequality; the modified Lerman-Yitzhaki technique allowed to decompose it by main economic activities and their determinants; the mixed methods of factor analysis was used to evaluate the contribution of sectoral determinants to regional wage convergence in Russia. Findings & Value added: We found a weak and inconsistent convergence of Russian regions in average wage over the period under review and explained it by the opposing forces in the main economic activities. The spatial convergence was basically created by mining, manufacturing, agriculture, construction, and transport and communications activities, while wholesale and retail trade, financial intermediation and real estate operations counteracted it. The convergence was mainly facilitated by a reduction in inter-sectoral differences in wages as well as by rapprochement of the employment structures in some economic activities of Russian regions. In the meanwhile, the migration of labor force from lower wage to higher wage activities negatively affected the smoothing regional differences. Ultimately, intra-sectoral wage inequality and wages correlation in various activities rather preserved inequality. The results are applicable in the management of spatial inequality both at the regional and national levels.

World experience in using the program-targeted planning methods for high-tech industry development

2020 ◽  
Vol 19 (9) ◽  
pp. 1723-1735
Author(s):  
A.Yu. Pronin
Keyword(s):  
Russian Federation ◽  
Technological Development ◽  
High Tech ◽  
Economic Activities ◽  
High Tech Industry ◽  
Industry Development ◽  
Foreign Countries ◽  
Planning Methods ◽  
The Russian Federation ◽  
Development Objectives

Subject. The article investigates the program-targeted planning methodology, which is implemented in the Russian Federation and leading foreign countries, for high-tech industry development. Objectives. The aim is to identify the specifics of program-targeted planning for the development of high-tech industries, to shape programs and plans for innovative development in the Russian Federation and leading foreign countries. Methods. The study employs general scientific methods of systems analysis, including the statistical and logical analysis. Results. I reviewed methods of program-targeted planning, implemented by the world’s leading countries (the Russian Federation, United States of America, France, Great Britain, Netherlands, Norway, Japan, Canada), in the interests of the development of various high-tech sectors of the economy. The study established that the methodology of program-targeted management is an effective tool for resource allocation by various types of economic activities in accordance with national priorities. I developed proposals by priority areas for improving the methodology for program-targeted planning and management in the Russian Federation in modern economic conditions. Conclusions. The findings and presented proposals can be used to improve methods for program-targeted planning to develop high-tech sectors of the economy; to design various long-term programs and plans, reducing the risk of their implementation; to determine the ways and methods of sustainable socio-economic and innovative and technological development of the world's leading economies.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

Tools for the development of innovative entrepreneurship in the region

2019 ◽  
pp. 66-72
Author(s):  
V. P. Basenko ◽  
V. A. Dianova
Keyword(s):  
New Technologies ◽  
High Tech ◽  
Organizational Forms ◽  
Public And Private ◽  
Economic Agents ◽  
Russian Economy ◽  
New Organizational Forms ◽  
Innovative Solution ◽  
Public And Private Cooperation ◽  
Effective Use

The article is devoted to the problems of innovative enterprise development. Since the Russian economy is in a state of financial and economic stagnation, there is a need to apply radically new innovative directions of business activities that ensure the effective use of financial potential within the framework of national projects. Practice shows that today the business sector in Russia is not able to provide a full-fledged demand for new technologies. Therefore, there is a need for substantial state support to provide centralized orders for high-tech industries. There are already examples of combining the efforts of a number of Autonomous economic entities to implement innovative reforms, new organizational forms of interaction have been formed, such as: centers for the implementation of innovative ideas; centers for engineering services; business incubators, etc. The subjects of these organizational forms of cooperation developed and proposed measures aimed at innovative solution of technological problems relevant to the regional economy, as well as for the country as a whole. Link for the efficient interaction of economic agents becomes an inherent characteristic, is the need of implementation of mechanisms of coordination with “network interaction”. It is important to note the fact that the existing relations and forms of regulation of various systems are not permanent, there are no strategic concepts aimed at long-term public and private cooperation.

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