• Journal of Science and Technology Studies
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• v.7 no.1
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• pp.91-116
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• 2007

Under the strong support of the government, nanotechnology(NT) has been expanded rapidly in Korea. Korea was one of the countries that followed the National Nanotechnology Initiative(NNI) of the US very soon and set up their own policies for NT. This paper argues that the main rationale of the Korean version of NNI was so called 'catch-up strategy' by entering at the early stage of new technology. It stimulated scientists and engineers from various disciplines to do researches and to establish new education programs in NT. Unlike IT and BT, however, such fast and big investment in NT was approved by the public in the sense that there has been few criticism on the governmental NT policies and potential harness of NT. With the relative uninterestedness of the civil society and competititveness seeking policy in NT, ELSI in NT was not included in the Korean version of NNI and the results of technology assessments on NT were not introduced to the public at all.

• Knowledge Management Research
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• v.21 no.3
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• pp.229-247
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• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.141-156
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• 2023

The advancement of Information and Communication Technology (ICT), along with the expansion of government and private investment in startup discovery and funding, has led to the emergence of startups seeking to generate outstanding results based on innovative ideas. As successful startups serve as role models, the number of aspiring entrepreneurs preparing to launch their own startups continues to increase. However, unlike entrepreneurs who challenge themselves with serial entrepreneurship after experiencing success, early-stage startups face various challenges such as team building, technology development, and fundraising. Accelerators play a dual role of mentor and investor by providing education, mentoring, consulting, network connection, and initial investment activities to help startups overcome various challenges they face and facilitate their growth. This study investigated whether there is a correlation between the characteristics of startups and their entrepreneurial performance, and analyzed whether accelerators mediate the relationship between startup characteristics and entrepreneurial performance. A total of 11 hypotheses were proposed, and a survey was conducted on 302 startup founders and employees located across the country, including the metropolitan area, for empirical research. SPSS 23.0 and Amos 23.0 were used for statistical analysis. Through this study, it was found that factors such as innovation, organizational culture, financial characteristics, and learning orientation among the characteristics of startups, rather than having a direct impact on entrepreneurial performance, are linked to entrepreneurial performance through the role of accelerators. By analyzing the impact factors of startup characteristics on entrepreneurial performance, this study presents research on the role of accelerators and provides institutional improvements. It is expected to contribute to the expansion of investment and differentiated acceleration programs, enabling startups to seize the market and grow stably in the market.

• Korean Journal of Construction Engineering and Management
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• v.12 no.2
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• pp.81-88
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• 2011

Providers haven't recently had a flexible construction cost estimation system to meet various needs of consumers about public housing. So the subject of this study is to estimate construction cost reasonably in early project stage of public housing and then develop reliable means which is able to support construction cost management and establish a adequate funding investment plan as a provider. In this study, Regression analysis was performed by the case on 20 public apartment complex which were designed from the first half of 2007 to the first half of 2008. A total construction cost of construction, civil engineering, machinery, elevator, land scape, electricity and communication work was used as one sample for increasing explanation and representativeness of the case. In addition, The total construction cost which is devided into design, contract and completion cost was variously analysed for increasing relevance of model and actual utilization. The result of estimation model based on a total construction cost set up completion and design cost showed that error rate is within 2%, which is a excellent result. The estimation model of the construction cost developed by this study is expected to estimate approximate construction cost which is adjacent real construction cost in early stage of the project by using some data.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• KDI Journal of Economic Policy
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• v.27 no.1
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• pp.123-156
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• 2005

Strengthening the competitive edge of SMEs has become one of the most important economic issues in Korea as the bipolarization between large firms and SMEs has deepened. Accordingly, small innovative firms (referred as 'venture firms' in Korea) attract keen attention both from policy makers and academia. Also, we can sufficiently observe how the growth environment for venture firms has evolved, since it has been almost ten years after the Korean government started its support policy for venture firms. Considering this, now is the appropriate time to carry out an analysis of venture firms. From this point of view, this study looks at growth factors for venture firms to draw out policy implications. The empirical analysis shows interesting results. Firms with the following features all showed higher growth rates: firms with high R&D intensity, younger firms, bigger firms, firms using more policy loans, and firms located within and around the Seoul region. However, the empirical analysis has some limitations. The data used in the study is limited in terms of firm information and so there are some insufficiencies. Thus it is of great importance to compile the required data on firms to enable further in-depth studies.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.247-252
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• 2018

The problem of the environment is urgently coming to the world as a problem that humanity must solve. In particular, Korea is directly affected by air pollution and marine pollution due to its geopolitical position with China, and is also exposed to a great deal of pollution due to air, water, soil, and weather. In this situation, due to the disconnection between the management domain / service (system) related to the environment, the ability to quickly identify causes and cope with situations in the event of environmental pollution or disasters is weak, and duplication and investment are being faced. The development of a service platform for smart environment disaster management is designed to detect environmental disasters in an early stage through the management of smart environment disaster management at the national level, It will be a way to predict complex environmental disasters.

• Korean Journal of Health Education and Promotion
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• v.18 no.2
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• pp.97-113
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• 2001

At the opening of a new millennium and a new century, health promotion and education services in Korea are in the early developmental stage. The National Health Promotion Act legislated in 1995 was a milestone for initiating a national and local health promotion program in Korea. And since then local governments and health centers have been developing and providing health promotion program for the community populations. The short history of health promotion and education in Korea has meant that local governments and health centers have a limited experience and organizational capacity for health promotion and education planing and practice. This study was attempted to measure health education need of rural community and to analyze the factors for health education need assessment. Surveyors interviewed 1250 subjects randomly selected. Subjects were 2.17% of men and women in Changnyung county and older then 20 years old. Data were collected from April 17, 2000 through April 27, 2000. The questionnaire consisted of general characteristics, health educational experiences, health educational method, health educational content and health educational needs for rural community residents. The questions on the health educational needs of content consist of 36 questions in 8 fields. The statistical methods used for the analysis were $X^2$-test, t-test, F-ratio and ANOVA using SPSS program. In conclusion, despite more needs to the respondents who are in the low education level and socioeconomic state, in the old age, in the low health knowledge, they required less health education. To enjoy a more healthy life after more community residents actively understand and are interested in health education and health promotion, we certainly require a designed and systemic health education. The resources of health department in Korea are limited and the investment involved in health promotion and health education is severely reduced. Particularly this situation is more severe in the rural community. To select and perform an effective health education methods that the nature and reality of the rural community are considered, well use the resources to invest in health promotion affairs as effectively as possible and then they will take the responsibility of healthy community.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.37-47
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• 2013

This study investigates regional financial markets and proposes some policy measures for boosting up the regional financial system. Financial supports for start-ups, small and medium sized enterprises(SMEs) in early stage growth have been constrained due to expanded financial gaps among regions during financial restructuring period. The bank consolidation through M&A is associated with widening financial gaps between Seoul area and others, and between regions where regional banks survives or not. Loans to small firms are associated with relationship lending techniques that may be better supported by smaller regional banks. The loan rate to SMEs in locals where regional banks are activated has tended to be 10%point higher than the locals where regional banks closed, and also drive the greater contribution for preventing local capital outflow and promoting local capital investment by local penetrating strategy. Government should develop regional financial policies to boost up regional financial system, and expand the business area of regional financial institutions for supporting start-ups and SMEs.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.592-612
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• 2008

The convergence of technology as a major breakthrough in technology innovation has been generated and developed. With the advent of the 21st century characterized by the knowledge-based economy, it is happening even more frequently and vigorously than ever. However, study on classification system or definition of notions is necessary as the convergence of technology is still in the early stage. The existing classification system has limited application to the convergence of technology. With no standard available for the classification of the technology convergence, there has been much concern for duplicative R&D investment. On this ground, a new and reformed classification system for the convergence of technology and definition of notions are needed. Previous studies regard base technologies used in the technology convergence and new convergence technologies as important. However, this paper views convergence of technology as a dynamic phenomenon and puts an emphasis on the cause of technology convergence, not on the new technology itself and examines whether base technologies go back to their original state after the completion of technology convergence. This kind of approach will classify technology convergence by characteristics. Although more researches including quantitative analysis are necessary, this paper expects to offer help with further researches on classification system.