• World Technopolis Review
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• v.5 no.1
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• pp.2-18
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• 2016

The development of Technopolis and the establishment of innovative ecosystem have made an important contribution in South Korea's latest industrial development and economic growth. Particularly, Daedeok INNOPOLIS which is responsible for the central role in the national science technology advancement was founded as the Science Town in the 1970s. Since then, it has undergone three-phases of development: Science Park, Technopolis and Innovation cluster. As the result of the transition, Daedeok INNOPOLIS currently serve as the leading role for achieving sustainable economic growth, employment promotion, national and regional innovation. In order to accelerate the progress for success, Daedeok INNOPOLIS have arranged an opportunity for 21st century new industry development, improved growth of technology-intensive SMEs, reinforced academic-industrial cooperation, and established innovative ecosystem. Daedeok INNOPOLIS is considered as an outstanding case of endogenous development strategy of Technopolis. This study attempts to consider the endogenous development strategy of Technopolis in Korea through the analysis of development characteristics of Daedeok INNOPOLIS in two different perspectives: changes of spatial structure and establishment of innovation ecosystem. Daedeok INNOPOLIS have experienced a series of endogenous growth that is consisted of advancement strategy and structural changes, which allowed Daedeok research town to grow into an innovative cluster. A sign of growth of Daedeok INNOPOLIS became apparent when its strategy to reinforce the academic-industry cooperation system by promoting participation from universities helped to overcome a functional limitation as a research institute integrated for the establishment of innovative ecosystem. Since then, the center for creative economy and innovation established in cooperation with large enterprise, has a role to build a startup ecosystem and to promote next level of development such as proactive fostering of venture companies for sustainable technopolis development.

• 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 the Korean Society of Industry Convergence
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• v.26 no.1
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• pp.1-14
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• 2023

To secure national future competitiveness, the Korean government announced the 『National Ultra-High Performance Computing (HPC) Innovation Strategy (2021.5.28.)』 and set three innovation strategy goals throughout establishing an innovation ecosystem. This study presented a heterogenous data-based strategic support framework that allowed to understand both the current status of domestic & foreign R&D areas and domestic industrial economy areas in terms of strategic fields related to ultra-high performance computing, and the empirical research was conducted in the life science and public health area. The HPC innovation ecosystem platform based on the connection of heterogeneous data (domestic R&D project-technology-industry-overseas R&D project) presented in this study provided useful and essential information that allowed establishing a specific action plan for the national HPC innovation strategy and contributing to vitalizing the innovation ecosystem. Since the evidence-based policy assumes that a more reasonable consensus is reached through a non-biased decision- making process among stakeholders, the proposed platform may contribute to enhancing policy momentum by increasing legitimacy and trust of planning of the national HPC strategy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.229-243
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• 2022

The importance of digital economy and platform firms in the Korean economy is growing. However, the concept and definition of platform firms are still in vague. In addition, the construct of platform firms in ecosystem has not yet investigated. In this paper, we attempt to define the platform firm and to classify the platform depends on the attributes of firms and business. We find 552 platform firms compose Korean platform ecosystem. From this study, the understood of platform concept can be accurated. Specifically, from the perspective of a 'firm' rather than a business-oriented attribute, and furthermore, the type of platform firm and detailed classification of industries and services were proposed for empirical analysis in the future. In addition, through the analysis of the current status of the platform ecosystem, policy recommendations for the future development and activation of the ecosystem were presented.

• STI Policy Review
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• v.7 no.2
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• pp.35-59
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• 2016

The strategic importance of innovation ecosystems has received increased attention from both the academic and policy perspectives. However, there is only limited empirical evidence on the importance of these ecosystems from the perspective of younger firms. This study focuses on the role of ecosystems for young innovative companies (YICs) and is based on a unique set of phone survey data from Finland and South Korea. The results are threefold: (1) Finnish YICs participate more actively in ecosystems than Korean YICs; (2) on average, Korean YICs report to have experienced lower ecosystem impact compared to Finnish YICs; (3) in both countries, key organizations of the ecosystems are represented on the board of directors in about one-third of the sample firms.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.9-29
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• 2018

Japan's manufacturing is mostly dependent on the automotive industry in Toyota-Kariya cities. However, the nearby city of Hamamatsu is the home of a start-up ecosystem known as Japan's Silicon Valley. How is it possible to evaluate the innovative potential of each regional industry? What kind of guidelines exist for continuing R&D investment when companies' net incomes are negative in the face of the 'Valley-of-Death' or financial crisis? Is it possible to measure the regional resilience ability in the context of the financial crisis? Entrepreneurial innovation is defined as a real-option portfolio consisting of investment decision to commercialize R&D findings. The subcontractor system implies a vertical and tight industrial group. However, a start-up ecosystem means a platform for horizontal and flexible partnership. In this research, the data include the financial indices of each of 18 public companies in both regions between FY2009 and FY2017. The objective of this paper is to clarify the call option or resilience function of equity for R&D investment in the context of the financial crisis in both regions by using Bayesian MCMC analysis.

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.175-204
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• 2017

The existing innovation policies and strategies mainly focused on the influencing factors for improvement of innovation outcome. However, these strategies were not always successful in driving innovative activities that make technology innovation disseminated. In this regard, innovation ecosystems approach has recently been coming to the force to establish a successful innovation strategy. The innovation ecosystems concept describes that innovation processes are evolved through collaborative networks of economic actors. In an innovation ecosystem, different organizations collaborate for technology development and its use. They interact for value co-creation by sharing mutual resources. The organizational networks are re-organized by dynamic changes of actors' interactions, which drive innovation mechanism of the networks. Recent studies on innovation ecosystems mostly have paid attention on developing theoretical frameworks to describe dynamics of an innovation ecosystem. There have hardly been empirical tests on the theoretical ecosystem models. In this vein, we investigated dynamics of an innovation ecosystem by analyzing structural characteristics of a collaborative network among organizations which are involved in the use of innovative technologies. Particularly, we examined the longitudinal changes of the interaction patterns among the organizations. This test was performed by an analysis of structural equivalence on the network dataset transformed from the organizational interactions. This result provides a guideline for an organization in developing an innovation strategy under a systemic perspective.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.305-332
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• 2022

Purpose: As the public interest in entrepreneurship has been highlighted and entrepreneurship policies have been generated, this study is to construct Entrepreneurship Ecosystem (EE) models which have a significant relationship to national entrepreneurship with quantitative analysis. It aims to provide implications to EE policymakers that which national components are effective in cultivating innovative entrepreneurship and validate its EE quality based on quantitative performance goals. Methods: This study utilizes secondary data, categorized under the PESTLE factor from credible international organizations (WB, UNDP, GEM, GEDI, and OECD) to determine significant factors in the quality of the entrepreneurial ecosystem. This paper uses the Multiple Linear Regression (MLR) analysis to select the significant variables contributing to entrepreneurship performance. Using the AUC-ROC performance evaluation method for machine learning MLR results, this paper evaluates the performance of EE models so that it can allow approving EE quality by predicting potential performance. Results: Among nine hypothesis models, MLR analysis examines that the number of the Unicorn company, Unicorn companies' economic value, and entrepreneurship measured as GEI can be reasonable dependent variables to indicate the performance derived from EE quality. Rather than government policies and regulations, the social, finance, technology, and economic variables are significant factors of EE quality determining its performance. By having high Area Under Curve values under AUC-ROC analysis, accepted MLR models are regarded as having high prediction accuracy. Conclusion: Superior EE contributes to the outstanding Unicorn companies, and improvement in macro-environmental components can enhance EE quality.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.674-682
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• 2015

RnD Service firms are the innovative company that supports innovation, determines the healthy ecosystem in the high tech business sector. RnD service also brings up a regional innovation through the business ecosystem. This study conducted a case study RnD Service firms leading to the activation of high tech industry. We analyze the role of the RnD Service firms through reports and interviews with corporate managers. We understand the growth process was RnD Service firms, and identify the cost of organizing. RnD Service firms are independent economy, but was also a problem that appears is dependent on universities and research institutions sometimes. When the subject of a regional innovation take place the RnD Service sector, It should be noted that the emergence of innovative business. RnD Service model should not be developed by universities and public institutions, it should be a technology development model that occur between companies.

• Journal of Venture Innovation
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• v.5 no.1
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• pp.107-127
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• 2022

Global challenges such as the corona pandemic, climate change and the war-on-tech ensure that the demand who the technologies of the future develops and monitors prominently for will be on the agenda. Development of, and applications in, agrifood, biotech, high-tech, medtech, quantum, AI and photonics are the basis of the future earning capacity of the Netherlands and contribute to solving societal challenges, close to home and worldwide. To be like the Netherlands and Europe a strategic position in the to obtain knowledge and innovation chain, and with it our autonomy in relation to from China and the United States insurance, clear choices are needed. Brainport Eindhoven: Building on Philips' knowledge base, there is create an innovative ecosystem where more than 7,000 companies in the High-tech Systems & Materials (HTSM) collaborate on new technologies, future earning potential and international value chains. Nearly 20,000 private R&D employees work in 5 regional high-end campuses and for companies such as ASML, NXP, DAF, Prodrive Technologies, Lightyear and many others. Brainport Eindhoven has a internationally leading position in the field of system engineering, semicon, micro and nanoelectronics, AI, integrated photonics and additive manufacturing. What is being developed in Brainport leads to the growth of the manufacturing industry far beyond the region thanks to chain cooperation between large companies and SMEs. South-Holland: The South Holland ecosystem includes companies as KPN, Shell, DSM and Janssen Pharmaceutical, large and innovative SMEs and leading educational and knowledge institutions that have more than Invest €3.3 billion in R&D. Bearing Cores are formed by the top campuses of Leiden and Delft, good for more than 40,000 innovative jobs, the port-industrial complex (logistics & energy), the manufacturing industry cluster on maritime and aerospace and the horticultural cluster in the Westland. South Holland trains thematically key technologies such as biotech, quantum technology and AI. Twente: The green, technological top region of Twente has a long tradition of collaboration in triple helix bandage. Technological innovations from Twente offer worldwide solutions for the large social issues. Work is in progress to key technologies such as AI, photonics, robotics and nanotechnology. New technology is applied in sectors such as medtech, the manufacturing industry, agriculture and circular value chains, such as textiles and construction. Being for Twente start-ups and SMEs of great importance to the jobs of tomorrow. Connect these companies technology from Twente with knowledge regions and OEMs, at home and abroad. Wageningen in FoodValley: Wageningen Campus is a global agri-food magnet for startups and corporates by the national accelerator StartLife and student incubator StartHub. FoodvalleyNL also connects with an ambitious 2030 programme, the versatile ecosystem regional, national and international - including through the WEF European food innovation hub. The campus offers guests and the 3,000 private R&D put in an interesting programming science, innovation and social dialogue around the challenges in agro production, food processing, biobased/circular, climate and biodiversity. The Netherlands succeeded in industrializing in logistics countries, but it is striving for sustainable growth by creating an innovative ecosystem through a regional industry-academic research model. In particular, the Brainport Cluster, centered on the high-tech industry, pursues regional innovation and is opening a new horizon for existing industry-academic models. Brainport is a state-of-the-art forward base that leads the innovation ecosystem of Dutch manufacturing. The history of ports in the Netherlands is transforming from a logistics-oriented port symbolized by Rotterdam into a "port of digital knowledge" centered on Brainport. On the basis of this, it can be seen that the industry-academic cluster model linking the central government's vision to create an innovative ecosystem and the specialized industry in the region serves as the biggest stepping stone. The Netherlands' innovation policy is expected to be more faithful to its role as Europe's "digital gateway" through regional development centered on the innovation cluster ecosystem and investment in job creation and new industries.