Search results

The current state and development of education system in Belarus are considered. It includes preschool, general secondary, vocational, secondary special and higher education, as well as supplementary education for children and further education for adults, including nonformal education. The gross enrollment rate in secondary education (ISCED Level 2 and 3) as a share to the population at the corresponding age was 102.9% in 2015, and the enrollment rate in tertiary education (ISCED Levels 5–8) showed 93.8%. The role of universities in creating the Belarus National Innovation System is shown. The main direction of improving the activities of higher education institutions based on the “University 3.0” model is considered. The Belarussian universities actively develop their innovation infrastructure (they form their own training and research centers, research and production laboratories, centers of cooperation with enterprises, career development centers for students and startup schools). During last years 14 sectoral laboratories and 6 science technological parks were established on the basis of Belarusian universities. Belarusian universities, while determining their own development trajectory, are guided by their main mission – to promote innovation and human capital formation – for the sustainable social and economic development of the country.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

The purpose of this paper is to discuss the concept of innovative performances for science parks as a framework for understanding how effectively human and structural capital (i.e. intellectual assets) are leveraged. The key point is fostering main determinants to investigate and/or make sense of key management activities/factors shaping the evolution and performance of knowledge creating processes.

The study was based on the quantitative and qualitative values, for the period 2000-2011, gathered from a sample of 901 public and private organizations located in the 21 European Union (EU) countries. With regard to the methodology, the hypothesis testing first required an analysis of the correlations between the investigation variables, and then the use of regression analysis to study the relationships between the innovative performance of the research institutions, and the financial, organizational and knowledge characteristics of the science parks investigated.

The empirical research shows that: the allocation of public resources does not influence most of the selected indicators of performance, with the exception of the negative effect seen for the number of patents; the resources provided by venture capitalists have a positive effect on all of the indicators of performance of the science park; the science parks of greater dimensions have better performances; the positive impact of the systemic relationships seems to have an effect that is limited to the increase in the number of contracts stipulated with industry; the number of publications produced by researchers of the science parks seems to have an unclear effect on the innovative performance; and an increase in the number of researchers enhances the innovative performance of the science parks.

It seems appropriate to suggest some research lines that arise from the limits of this work. In particular, it should be stressed that there is a need to enlarge the sample investigated to embrace local innovation systems outside the EU, so as to provide further validation to the empirical results of this research.

This research has some practical implications of notable interest at the level of European policies. Interventions of public policies supporting innovation should not be concentrated on the increase of public funding but on increasing private capital investment.

This paper aims to extend literature about factors explaining the financial, organizational and cognitive performance of science parks in Europe.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

Do science parks and high‐technology industrial estates have anything other than a semantic link with the process of technological change in industry? The paper considers this question by examining some aspects of technological change and comparing them with the initial results of a survey of British science parks and high‐technology developments.

The purpose of this paper is to analyze and summarize the development of science and technology (S & T) policies in China from a government-driven perspective in chronological order. To develop knowledge-based economy, China enacts a range of S & T policies since “Reform and Open Policy” started in 1978. Furthermore, it investigates the overall effects of these S & T policies on university-industry linkages (UILs).

This paper conducts an analysis framework of S & T policies in historical sequence to explain how government drives UILs to stimulate technological progress and economic growth in China.

More than a site for high-quality workforce education and knowledge spread, universities as an important part of national innovation are required to participate in economic activities. Considering that most Chinese universities are national, S & T policies with particular regard to university technology transfer would be more important and essential. This research finds that S & T policies enacted by government have made critical contributions to UILs in economic transition period, such as improving academic faculty, enhancing university–industry collaborations and supporting university spin-off formation. The experiences of China suggest that government should enact more effective S & T policies in the knowledge-based economy era.

First, universities need to educate high-level human resources that are important for economic growth and social development. Second, universities need to engage in R & D activities and enhance their collaboration with industries, such as consulting services, research contracts with industry, patent licensing and other general knowledge commercial mechanisms. Third, universities also can directly transfer commercial knowledge to start up new businesses by itself or in partnership with industrial sectors. Without doubt, a series of S & T policies or programs enacted by China’s government to drive entrepreneurship continuously played critical role in the UILs over the past 26 years.

This paper is a pioneering work on how S & T policies enacted by government drive UILs to stimulate technological progress in transitional China.

The purpose of the chapter is to study peculiarities of formation of “green economy” in Russia and to substantiate the perspectives of its development by technological parks. The “green economy” is just appearing in Russia, as its volume is 4% of GDP as of now, with a downward trend for the recent 10 years. Favorable conditions for the formation of “green economy” are created in technological parks due to the attraction of the necessary volume of investments and increased state regulation. Technological park ‘Sinarsky’, West-Siberian innovational center (Tyumen technological park), and technological park of high-tech of Khanty-Mansi Autonomous Okrug show “green” initiatives. However, their share in the total structure of technological parks of Russia is only 2%. The volume of “green” investments in technological parks of Russia constitutes RUB 0.58 billion, and the volume of “green” production – RUB 9.153 billion, with 3,980 “green” jobs. The developed authors’ concept and the offered practical recommendations allow for the deeper study of the potential of technological parks in the context of the “green economy” in Russia. According to the forecast, their implementation will allow ensuring achievement of the share of “green” technological parks in their structure at the level of 30%, thus increasing the volume of “green” investments in Russia’s technological parks to RUB 7.888 billion: the volume of “green” production to RUB 124.48 billion, and the number of “green” jobs to 54,128. “Green” development of technological parks will allow increasing the volume of “green” economy in Russia by 3.2% until 2025.

This chapter considers world experience of the innovation sector transformation and describes results of the Belarusian innovation infrastructure development and transformation issues in the national economy. Suggestions on the ways and mechanisms focused on the efficiency improvement of innovation sector transformation on the basis of clusters and innovation networks in Belarus are presented.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.