The literature in research policy extensively addresses the interaction between public R&D and the society. Scholars have paid particular attention to the way science and technology are diffused into the society and industry with the aim of substantiating their potential value. In practice, having recognized the importance of the said interaction, R&D entities and governmental organizations promote scientific and technological innovations that result from their R&D activities. Yet, the nature of news media exposure as their primary channel to promote R&D outcomes has been remarkably understudied. Using the results of R&D projects supported by the National Research Foundation of Korea (NRF), this study examines R&D entities' strategic use of the news media to publicize their outcomes. The empirical results suggest that the scale of an R&D project positively affects the counts of media exposure of its R&D outcomes, whereas the level of technology readiness and the technology life-cycle do not have significant influence. In addition, the results suggest that, compared to senior researchers, young researchers are more likely to publicize their R&D outcomes and that R&D outcomes from highly ranked universities are more likely to be publicized than those from lower-ranking universities despite our control for R&D outcomes. The aforementioned results suggest that in promoting the diffusion of science and technology, especially to the public, policymakers should be concerned about incentives for those who provide techno-scientific information, such as researchers. The social need for the diffusion of techno-scientific information into the public (e.g., technology transfer and diffusion) is an insignificant factor in determining the media exposure of such information, whereas personal benefits and sensitive issues related to a researcher's own R&D activities (e.g., justification for R&D activities) drive researchers to publicize their R&D outcomes. This paper suggests that policymakers, especially those concerned with better diffusion of scientific and technological innovations need to design a proper incentive system to maximize the societal benefits of media exposure.
Although technological progress is considered a key element for economic growth and development of a country, strong empirical evidence in this regard is not available yet. Therefore, to establish the empirical link between technology progress and economic development, it is advisable to carry out a time series analysis. In this regard, the Technology Achievement Index (TAI) of 100 top economies has been developed to examine the position of countries' technological progress for the 21 years spanning 1995 to 2015. Countries have been ranked on their TAI which is based on four pillars; technology creation, diffusion of older innovations, diffusion of recent innovations, and development of human skills. As well, this current study re-calculates the Humane Development Index (HDI) of 100 top economies for the 21 years from 1995 to 2015. Ranking of countries' HDI values reflects three dimensions: A long lifespan (life expectancy index), knowledge (Education Index) and a decent standard of living (Gross National Income Index, or GNI). The Standard Deviation (SD) technique has been used to investigate the technological gap between individual countries and groups of countries or regions. For a more meaningful assessment, technological gaps from the maximum achievement value (i.e., one of the countries under study) are presented as well. To investigate the impact of technological progress on economic development, this study introduces a model in which the HDI is used as the dependent variable and the TAI and Gross Capital Formation (GCF) are used as independent variables. The HDI, TAI and GCF are used in this model as proxy variables for economic development, technological progress and capital respectively. Econometric techniques have been used to show the impact of technological progress on economic development. The results show that long-term associations exist between technology progress and economic development; the impact of technology progress on economic development is 13.2% while the impact is 4.3% higher in eight selected East South Asian countries, at 13.5%, than in eight selected highly developed countries (9.2%).
Fraunhofer was founded in 1949 and grew into Europe's largest application-oriented research organization. Fraunhofer currently employs over 20,000 members in Germany, is internationally networked, and manages an R&D budget of over 1,8 Billion Euros per year. An important step for Fraunhofer to become an integral component of the German innovation system was the introduction of the Fraunhofer Model of financing based on a performance-related system of financial management. The underlying model of the allocation and distribution of public funding to Fraunhofer that is subsequently allotted to specific research groups is one of the success factors of Fraunhofer. Fraunhofer is proud of its decentralized organizational model. Fraunhofer is comprised of 60 Institutes in Germany working in different fields, under one legal framework, and with a strong brand value. Every Fraunhofer Institute is affiliated with a German University and every institute director simultaneously holds a chair at the affiliated university. It is a challenge for the headquarter organization to balance the intended competition of individual Fraunhofer Institutes with complementarity cooperation in science among Fraunhofer-Institutes, especially when coming from different knowledge domains; however, this goal results in a significant advantage. The unique strengths of Fraunhofer offer system solutions in a world with increasingly complex R&D challenges. While growing to become the largest organization on Europe to focus on applied research it is the challenge to remain an agile organization that is flexible in organizational structure. Fraunhofer has reached a well-recognized position in the European innovation landscape. It is often referred to by science and governments as a role model for innovation policy and a key element of the latest successes in the German economy that has recovered quicker from the latest economic crisis than most other western economies. The paper explains Fraunhofer as an organizational paradigm and its underlying management model to elaborate on the challenges of managing a research organization. We wish to show how it is possible to transfer the management model and philosophy of Fraunhofer to innovation systems with different framework conditions and challenges. A universal conclusion may be drawn based on the description of Fraunhofer; however, changes in existing structures and innovation systems cannot be implemented over night.
This paper explores how research excellence is perceived among researchers in Thailand and Japan with an aim to explore whether there are any new indicators that could later be proposed and adopted as criteria of excellence. Based on a questionnaire survey, the findings reflect ideas and viewpoints that could be found among researchers in both countries. Creative researchers are crucial to a strong national research and innovation system. Institutions should provide an environment or incentives based on research performance for their researchers to flourish and be productive. For decades, bibliometrics have been used to evaluate individual research performance for its easy approach and faster speed than a qualitative assessment would warrant. Nonetheless, there have been a number of studies on research performance evaluating systems that point out how a purely bibliometric approach is inadequate in summarizing the quality of the scientific performance. The pressures on researchers today influence their thinking and oppose their creativity. To investigate the perception of research excellence, three key research questions were set in this study: what counts as excellence, how to measure excellence, and how to support excellence. The findings confirm that traditional granting criteria that frames an idea of excellence remain valid, but they also suggest novel criteria be considered and prioritized. This paper argues that the existing evaluating system is insufficient for unleashing the curiosity and creativity of researchers and fostering excellence. In the final section, the paper discusses factors that contribute to scientific creativity that we should not overlook.
In April 2001, many Japanese national institutes were reorganized as Independent Administrative Institutions (IAI) based on the General Act for Independent Administrative Institutions and the act for each institution. Under the Ministry of Education, Culture, Sports, Science and Technology (MEXT), the National Institute for Materials Science (NIMS) was established by the merger of the National Research Institute for Metals (NRIM) and the National Institute for Research in Inorganic Materials (NIRIM). One of the biggest changes was the expansion of autonomous administration. The nanotechnology and material R&D field was prioritized in the 2nd (2001-2005) and the 3rd (2006-2010) Science and Technology Basic Plans; subsequently, NIMS was assigned to take the initiative in nanotechnology as well as materials science. NIMS has proactively expanded research fields through the introduction of researchers from polymers, electronics, and biotechnology as well as member institutes of the World Materials Research Institute Forum (WMRIF). Globalization has been promoted through programs that include the International Center for Young Scientists (ICYS) and the International Center for Materials Nanoarchitectonics (MANA). The 4th Science and Technology Basic Plan (2011-2015) emphasizes outcomes-recovery and rebirth from the disaster, green innovation, and life innovation. The Midterm Plan for NIMS also follows it. R&D collaboration by multi-partners (that include industry, university, and GRI) should be strategically promoted where GRI are especially required to play a hub function for innovative R&D and open innovation. NIMS highlights are Tsukuba Innovation Arena (TIA) and the Nanotechnology Platform Project. On January 20, 2012, a new organization was decided on by the Japanese Government where several IAI from different science and technology areas will be merged to realize more effective R&D as well as administrative cost reductions. NIMS is also supposed to be merged with 4 other R&D IAI under MEXT by the end of 2013.
Recently, global competition in the manufacturing sector is driving firms in the manufacturing sector to conduct product innovation projects to maintain their competitive edge. The key points of product innovation projects are 1) what the purpose of the project is and 2) what expected results in the target market can be achieved by implementing the innovation. Therefore, this study focuses on the performance of innovation projects with a business viewpoint. In this respect, this study proposes the "achievement rate" of product innovation projects as a measurement of project performance. Then, this study finds the best strategies from various innovation activities to optimize the achievement rate of product innovation projects. There are three major innovation activities for the projects, including three types of R&D activities: Internal, joint and external R&D, and five types of non-R&D activities - acquisition of machines, equipment and software, purchasing external knowledge, job education and training, market research and design. This study applies decision tree modeling, a kind of data-mining methodology, to explore effective innovation activities. This study employs the data from the 'Korean Innovation Survey (KIS) 2014: Manufacturing Sector.' The KIS 2014 gathered information about innovation activities in the manufacturing sector over three years (2011-2013). This study gives some practical implication for managing the activities. First, innovation activities that increased the achievement rate of product diversification projects included a combination of market research, new product design, and job training. Second, our results show that a combination of internal R&D, job training and training, and market research increases the project achievement most for the replacement of outdated products. Third, new market creation or extension of market share indicates that launching replacement products and continuously upgrading products are most important.
This study aims to draw the characteristics of the regional operation system of the shared research instrument service, which contributes to the R&D investment efficiency by the avoidance of duplicated research instrument investment and the enhancement of the network collaboration. So from the perspective of technology infrastructure policy and regional innovation system, Gyeonggi region of Korean metropolitan area has been analyzed for the case study. The case study has been conducted by 2 step process of within-case analysis and cross-case analysis. Firstly, the characteristics of operation system of the shared research instrument have been examined through various research methods. Secondly, in the cross-case analysis, the examined issues and problems have been organized by the matrix of 3 organizational governance characteristics and 4 issues to facilitate the regional policy approach. The issues deducted by the cross-case analysis have been deducted as (1) 'usage fee charge system', 'relevant method for the performance index and measurement of the instrument service management' for the regional policy led case, (2) 'performance management issue', 'financial and managerial accounting system for the instrument operating division', and 'change of budget support scheme' for the joint operation case and lastly (3) 'usage facilitation after the expiration of research lab support project' for the university led case.
Proceedings of the Korea Contents Association Conference
/
2006.11a
/
pp.706-710
/
2006
Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is lack of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation. After gathering knowledge flow data between science and technology through mapping citing patent and cited paper, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Basd on 2 types of knowledge flow data, it propose method to examine knowledge flow from science to industry by applying overlap function is a network link weight function.
Proceedings of the Korea Technology Innovation Society Conference
/
2006.11b
/
pp.323-337
/
2006
Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is in need of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation by USPTO. After gathering knowledge flow data between science and technology through mapping citing patent and cited pater, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Based on these knowledge flow data, it examines knowledge flow science to industry by applying overlap function that is a network link weight function.
Science, technology and innovation (STI) has expanded the activity of actors from the traditional physical territory to the cyberspace. Data-driven platform services and markets advance new discussions on cross-border cooperation and cyber security, as well as discourse on sovereignty in cyberspace. These changes are also affecting the hegemony competition between the US and China. In particular, competition for aid to developing countries that are located along major resource transportation routes, such as natural gas and deep sea resources, is fierce. ASEAN is not only a geopolitical military and security point where the US and China powers collide, but its population of 600 million has great potential for the development of the digital economy due to its data resources. In this regard, this article aims to connect the discourse of liberalism and authoritarianism with data regulation and cybersecurity in international development cooperation, and derive implications for ASEAN integration through this. This study has significance as a convergence study that links international political issues related to big data in terms of global governance.
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