• STI Policy Review
• /
• v.2 no.2
• /
• pp.1-9
• /
• 2011

Innovation Policy has evolved to solve social problems through technological innovation. Industrial innovation policy promotes technological innovation so that it consolidates industrial competitiveness and aims at economic growth; however, societal innovation policy promotes technological innovation in the social service domain to improve the quality of life and strengthen sustainability. A different policy regime is required because the objectives and directions of societal innovation policy are different from those of industrial innovation policy. This report consolidates the concepts and characteristics of societal innovation policy that suggest policy options.

• Journal of Technology Innovation
• /
• v.15 no.2
• /
• pp.211-235
• /
• 2007

The paper establishes a policy classification system in order to classify and evaluate the science and technological innovation policies in Korea. We rebuild an innovation system model based on the national innovation system(NIS) concept. The model consists of human capital infrastructure(HCI), institutional infrastructure(II), technological infrastructure(TI), technology market(TM), industrial organization(IO), and innovation networks(IN). We give these 6 components of the modified system 1-digit number, respectively. Then we build the sub-systems according to these components, classify the policy categories in more detail, and finally complete the 3-digit policy classification table. This policy classification table may be useful in studying the science and technological innovation policy in both theoretical and empirical aspects. For example, the table can be the tool to examine the program portfolio profile(PPP) or to implement the questionary survey on the actual policies.

• Journal of Technology Innovation
• /
• v.17 no.2
• /
• pp.81-107
• /
• 2009

The Korean government provides a variety of supporting programs with firms to promote technological innovation which is a main driver of economic growth. The existing literature on technological innovation has mainly focused on analysis about determinants of successful innovation and effectiveness of a specific policy measure. However, there is no study deals with characteristics of policy demanders. For this, this study investigates the relationship between barriers and policy measures in technological innovation using the logistic regression analysis method with raw data of Korean Innovation Survey (KIS). The findings from this analysis show that barriers of technological innovation are meaningful variables to determining whether firms adopt a policy measure, although there are some differences according to policy types. Cost barriers increased the probability that firms adopt support programs regardless of policy types. Also, the more firms encounter cooperation barriers, the more likely firms utilize supporting programs in regard to technological advice and information.

• Asian Journal of Innovation and Policy
• /
• v.7 no.2
• /
• pp.235-286
• /
• 2018

The aim of paper is to develop an alternative framework for the study of technological innovation systems. In contrast with conventional literature, this analytical framework is designed for entrepreneurs, i.e. actors, at the micro level rather than policy-makers at the meso or macro level. Herein, the entrepreneurial innovation system is conceptually refined by synthesizing knowledge regarding technological innovation and innovation systems. Drawing upon the intrinsic technological identity essential for innovation, the entrepreneurial innovation system is shown to involve three core changes in terms of technology, organization and market, and their couplings within its internal boundary over time. This analytical framework also takes into account the fact that the innovation system is influenced by and copes with the external environment during its evolution. Moreover, the framework of the entrepreneurial innovation system considers the recent trend of sustainable development. The technical and socio-economic characteristics of a nuclear powersystem are studied empirically to articulate an analytical framework that should be very useful for technological innovation in other energy systems by reflecting their unique features.

• Asian Journal of Innovation and Policy
• /
• v.6 no.2
• /
• pp.138-151
• /
• 2017

This aim of the study is to show the necessity of implementing an industrial innovation strategy with consideration given to characteristics of the industrial technology. The relationship between industrial technological characteristics and innovation performance is analyzed by using an innovation survey as well as a human capital corporate panel (HCCP). The time-lag effect is also examined. Findings of the analysis show that high-tech industries have entered the post catch-up technology innovation stage in the mid-2000s, but low-tech industries still seem to stay in the catch-up stage. In terms of technology policy, the additional technology innovation support policy should focus on enhancing the innovation capability of the middle and low technology industries, since high technology industries are already developing their own innovation capability. It is necessary to strengthen capacity building through technical cooperation with technology consulting, rather than providing technical support through suppliers.

• Journal of Korea Technology Innovation Society
• /
• v.9 no.4
• /
• pp.715-739
• /
• 2006

This paper reconstructs the concept of technological systems(TSs), which was first introduced by Carlsson and Stankiewicz(1991), and applies the concept to printing technology in Korea, We examine the dynamic process of the technological system of printing technology, co-evolving with biotechnology(BT), information technology(IT), environmental technology(ET), and nano technology (NT), We found that the technology-focused science and innovation policy can reinforce other existing policy tools such as national innovation system(NIS), regional innovation system(RIS), and industrial cluster more effectively.

• Asian Journal of Innovation and Policy
• /
• v.11 no.1
• /
• pp.87-109
• /
• 2022

The study attempts to examine the system-building activities of scientific institutions in developing the Molecular Diagnostic (MDs) Innovation System in India. Scientific Institutions are the precursor of any technological development with their capabilities in generating new ideas. MDs are advanced and accurate diagnostic technology with considerable scope to serve the diagnostic needs and requirements of the healthcare system. We adopted a System framework and analyzed the development of MDs in terms of the Technological Innovation System (TIS) functions, and the systematic challenges are assessed through the System Failure Framework (SFF). Based on the secondary and primary survey of prominent science base actors, the study finds that the role of government is crucial for facilitating technological development within a science base through the mobilization of resources. In India, the MDs technological development gained significant momentum over the last decade with the development of specialized human resources and dedicated research institutes. However, we do find that the innovative capabilities in attaining need-based TIS are sub-optimal owning to the specific diagnostic needs of highly burdened diseases in the society. The system analysis reveals that the TIS functions are underperforming because of the absence of a well-defined funding mechanism and goal-oriented targeted policy regime of the government. Since MDs have a transformative effect on the present healthcare system, we argue that the government has to address the system-based challenges and issues for developing a need-based technological innovation system for MDs in the country.

• Asian Journal of Innovation and Policy
• /
• v.11 no.3
• /
• pp.293-319
• /
• 2022

By analyzing the adaptive capacity, market formation and policy direction as functional areas of Technological Innovation System (TIS), the article evaluates the progress of renewable energy transition in the Maldives, with the inclusion of ideas from Mauritius and Cabo Verde. On the policy direction in the Maldives, technology roadmaps produced with assistance from International Renewable Energy Agency (IRENA) and Asian Development Bank (ADB) are evaluated. Although there are inducing factors such as the Solar Risk Management Initiative, the progress of energy transition is hindered by the lack of technical capacity and local value chain. The findings indicate the importance of facilitating and establishing industry and knowledge networks, incorporating innovation policies, greater involvement of the local private sector along with international investors, and taking water-energy nexus to achieve complementary targets. The study adds value to knowledge by offering a simplified TIS framework, with a current insight of the energy transition in Small Island Developing States with a focus on the Maldives.

• STI Policy Review
• /
• v.7 no.2
• /
• pp.1-15
• /
• 2016

This study provides empirical evidences for the relationship between income inequality and economic growth, and relationship of income inequality with some of explanatory variables such as technological innovation, trade globalization, financial globalization and fiscal policy. We find out that income inequality has an adverse effect on economic growth, showing its dynamic features, for which we employed the polynomial distributed lags (PDL) model. The effect of income inequality on economic growth lasts over 9 years, and its dynamic effect peaks after 4 years. In addition, we also attempted to find out empirical evidences of sources of income inequality. The results show that income inequality is positively related to technological innovation, financial globalization, and fiscal policy; negatively related to the trade globalization. Many studies employ cross-country data, but it could have serious problems in collecting statistical data. Korean data is used over the time period of 1990-2015 in this study.

• Asian Journal of Innovation and Policy
• /
• v.10 no.1
• /
• pp.90-107
• /
• 2021

This paper analyses how technological capabilities and entrepreneurship of technology-based start-ups affect their performance. In this paper, a multiple regression analysis was conducted on 248 technology-based start-ups. The effects of indicators of technological capacity like R&D intensity, R&D organization, technology competitiveness, patents, and certification were analyzed. Factors affecting sales were R&D intensity and technological competitiveness. Technology competitiveness and patents were the significant factors influencing product competitiveness. The factor that positively influenced organizational performance, customer performance, and achievement of start-up goals was technological competitiveness. The results of such an analysis should be designed to discover and foster long-term innovation potential, rather than relying on short-term financial performance.