• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1396-1406
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• 2006

The policy aims of Regional Innovation Cluster(RIC) are not making the RIC itself but promoting the competitiveness of Small and Medium Enterprises(SMEs) in the region. Also, it goes without saying that small and Medium Enterprises (SMEs) do the key roles of regional economic growth. This paper indicates that the innovative capabilities of SMEs are the crucial factors of the success of Regional Innovation Cluster. In order to improve SMEs' capabilities for innovation, knowledges are vital including codified knowledge or tacit knowledge. In cluster, the linkages especially among researchers and factory workers is important to innovative activities, and universities have to of for knowledge, education programs and new researchers fully qualified to SMEs. Also, regional governments and medias positively participate the cluster as helpers. Based upon the research results, some policy implications have been suggested concerning the policy supports to enhance innovative activities of SMEs within the Regional innovation Cluster.

• Journal of the Korean Regional Science Association
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• v.34 no.4
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• pp.3-18
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• 2018

These days, regional innovation draws more attention than ever as a growth engine for regional economies, and governments put a variety of efforts to establish Regional Innovation systems(RISs). In this circumstance, this study aims to analyze types of RISs and the combinations of the factors influencing innovation performance as measured by patent application. Most of previous works have depended on case-oriented or variable-oriented strategy to classify types of RISs or to analyze the effects on performance of innovation factors, having some limitations: Variable-oriented approaches fail to capture complex combinatory effects of factors, while case-oriented approaches tend to depend on subjective interpretation. This study made use of the recently proposed fs/QCA(Fuzzy-set Qualitative Comparative Analysis) to overcome the limitations of those strategies. Based on the theory of RIS, three factors for regional innovation-input, infrastructure, and network-are used to classify 16 Korean Provinces. The results show that eight types of regional innovation types are identified, and that most of the regions are classified into either IN-type, equipped with high levels of Input and Network, or F-type, with high levels of infrastructure. In addition, applying seven sub-variables of the three factors to the fussy-set combination factor analysis, we examine a combination of factors influencing patent application. The results show that regions with high levels of R&D expense, valid patent, industry-academia cooperation, IP budget, and TLO values, and low IP capital almost always have a high level of patent application. Therefore, for regional innovation, the public sector needs to provide institutional support for R & D personnel training. It is also important to for both the public and the private sectors to make efforts to stimulate IP financing.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.135-162
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• 2015

The purpose of this article is to reinterpret the existing innovation policy with 'the societal innovation policy' framework. It is looking into characteristics of societal innovation policy and the prospects for socio-technical systems transition and citizen participation are discussed. After the discussion, new interpretation of innovation policy elements will be dealt with lenses of societal innovation policy. It sheds new light on the key elements of innovation policy, such as Innovation policy governance, industrial innovation policy, regional innovation policy, and infrastructure policy and suggests direction of policy improvements from societal innovation policy perspectives. This will be an opportunity to reinterpret the existing innovation policy measures and to approach to science technology innovation policy for system transition with participatory perspective.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.2
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• pp.219-236
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• 2022

The Oxford area is one of the major innovative regions of the world. The innovative characteristics of the area, however, have not been well exposed to the academic communities of the world and Korea. In fact, the area was a base of breading the Cambridge area and has also been playing important roles in creating the major British high-technology region, called "Golden Triangle," composed of Oxford, Cambridge and London. This paper investigates the process of growing innovativeness of the Oxford area and sheds more lights on the birth, growth and key actors of the area's Regional Innovation Systems(RISs). For this research, the author reviewed the literature related to the RISs, and gathered data based on the Internet, statistical data sources, interviews with local scholars and practitioners.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.151-159
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• 2023

In the digital age, innovation is at the heart of information technology development. This paper explores the differences of regional innovation capabilities from within the innovation system from a new perspective. By applying the coupling coordination degree model, the coupling coordination degree analysis is conducted for the three systems of innovation (innovation input, innovation output, and innovation environment) in 31 provinces, municipalities, and autonomous regions of China. The results show that: the overall level of coupling coordination degree in China is low, and the number of provinces in good coordination and quality coordination is low number, but they are all distributed in the eastern economically developed regions, showing a high correlation between regional innovation and regional economic development. The overall trend of China's innovation coordination is on the rise. The research results of this paper can provide a new perspective for the evaluation of innovation capability, and also provide an important impact of innovation on promoting the development of ICT industry.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.400-407
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• 2022

Innovations significantly affect the efficiency of the socioeconomic systems of the regions, acting as a system-forming element of their development. Modern models of economic development also consider innovation activity, intellectual potential, knowledge as the basic factors for stimulating the economic growth of the region. The purpose of the study is to develop methodological foundations for evaluating the effectiveness of a regional innovation system based on a multidimensional analysis of its effects. To further study the effectiveness of RIS, we have used one of the methods of multidimensional statistical analysis - canonical analysis. The next approach allows adding another important requirement to the methodological provision of evaluation of the level of innovation development of industries and regions, namely - the time factor, the formalization of which is realized in autoregressive dynamic economic and mathematical models and can be used in our research. Multidimensional Statistical Analysis for RIS effectiveness estimation was used to model RIS by typological regression. Based on it, multiple regression models were built in groups of regions with low and relatively high innovation potential. To solve the methodological problem of RIS research, we can also use the approach to the system as a "box" with inputs and outputs.

• Korean System Dynamics Review
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• v.12 no.2
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• pp.69-94
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• 2011

Daejeon, encompassing Daedeok Science Town and Daedeok Innopolis, possesses the advantage of portraying relatively higher regional innovation capacity and facilitating network formation among regional professional research organizations. Applying the Social Network Analysis(SNA) techniques, this paper focuses on divulging structural and spatial characteristics of the Daejeon Information and Communication(ICT) industry network, analyzing co-research projects implemented by the Daejeon-based universities. For the analytical tool, it depends on NETMINER 3.0. Furthermore, based on the Systems Thinking approaches, this study suggests a couple of policy implications. Judging from the Korea Standard Industrial Classification principles, the existing ICT industry is subdivided into 11 sub-industries. The highest degree centralization value comes from the Mobile Communication sub-industry(188.668%), indicating that Mobile Communication sub-industry exerts the most significant impact on the regional innovation networking in Daejeon. Among various stakeholders, Korea Advanced Institute of Science and Technology(KAIST) records the top ranking in most categories, conspicuously leading the institute-industry linkage. In terms of the ICT spatial distribution, the intra-regional cooperation examples present the strongest linkage values, followed by Daejeon-the Capital Region ones. Finally, as well shown in a series of causal loop analyses, this study recommends that Daejeon should put top policy priority in strengthening the internal ICT network within Daejeon proper. Here, Daejeon should keep in mind the fact that there exist reinforcing loops between Daejeon's attractiveness and the entering of new ICT firms.

• Korean System Dynamics Review
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• v.17 no.3
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• pp.145-173
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• 2016

This study aims to develop strategic diagnosis framework of performance by identifying and analysing the dynamics of the technology commercialization ecosystem in innovative region. To achieve the purpose of this study, the systems thinking approach is used. The systems thinking approach connects feedback structure and behavior more explicitly to diagnosis vicious feedback loop in the regional technology commercialization ecosystem. In terms of an ecological point of view, it will be possible to explore dominant feedback structure and find leverages to overcome the limitations of regional technology commercialization performance. The diagnosis of reenforcing and balancing feedback structure is based on the statistical analysis of the survey data which has been collected in a cluster random sampling method, targeting on the 200 firm located in the Pangyo and Daeduk region. The results from this research showed that the regional technology commercialization ecosystem was immature and faced limit to the growth. An important finding of this study was that regional technology commercialization ecosystem need to activation of startups and reinforcement of virtuous feedback structures of technology commercialization market systems.

• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.406-429
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• 2017

Most of the GRI's that are organized and operate a regional. However, the limitations of the building that faces its own innovation system of the area, difficulties in management of the individual institution and community organizations operating in various industries such as inadequate to meet demand. This study examined the quality attributes of the GRI's regional organization's operations and policy improvements on the GRI's key features and regional organizations in the region to suggest future operating efficiency in the consumer's point of view based on the Kano Model and Timko Model. The results showed the different properties depending on the quality of corporate premises, and whether or not its own R&D organization. These results could be used as a basis for future policy design in accordance with GRI's regional organization establishment, operation and evaluation.

• Journal of the Korean Geographical Society
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• v.37 no.2
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• pp.111-130
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• 2002

Major purposes of this stud? are to analyze Korean firms'innovation networks and sources of knowledge for innovation and to understand their spatial dimensions. In the innovation networks, parent firms are most important for subcontracting firms, while suppliers, customers and competitors are relatively important for independent firms. However, in the future innovation networks, it is expected that government-sponsored research institutions and university wilt become more important on the one hand, networks with foreign firms will become more important on the other hand. Regarding the process of innovation, distance does not matter for the acquisition of codified knowledge. Spatial proximity is, however, critical for the acquisition of tacit knowledge because discussions and researches in a research division within a firm, personal networks of CEO and workers who are responsible for innovation activity, and inter-firm relations with suppliers and customer in a region are regarded important as sources of tacit knowledge. Overall, the innovation networks are different between the Capital Region and non-Capital Region as well as between the industrial complex and non-industrial complex, suggesting that different regional innovation strategies and policies should be established and implemented by considering such regional specificities. Finally, based on the results of this study several policy implications are suggested.