• Korea journal of population studies
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• v.21 no.2
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• pp.144-181
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• 1998

The main purpose of this study is to understand the socio-cultural adaptation and life-styles of the Chinese and Korean immigrants in Vancouver, Canada. Of interest are the immigration policies of the Canadian government and formation of the Chinese and Korean minority societies in Vancouver. Attention is given to estimating the size of the Korean population in Vancouver, utilizing the listings of telephone directory and the proportion of surname Kims in the Korean population. This paper focuses on explaining the distinctive adaptation patterns and socio-cultural characteristics of the Chinese and Korean immigrants. A conceptual scheme of socio-cultual adaptation of the minority immigrants, which is hypothesized as a function of the participation to the host society and the cultural identity, is also developed in this paper. Findings of the analysis suggest that the Chinese and Korean population in Vancouver witnessed a rapid growth since the mid 1980s, when the Canadian government launched the immigration programs for investors and entrepreneurs. It appears that the Chinese and Korean immigrants hold strong ethnic identity and maintain cultural traditions and life-styles of their own. While Chinese immigrants are characterized by active participation to the host society, Korean immigrants tend to confine themselves to the Korean enclave, and thus keep a certain distance from the host society. This appears to be particularly true for the Koreans who immigrated with a status of investor or entrepreneur. As the key force behind the ethnic differences in their adaptation, the role of voluntary associations is stressed. Finally, the future prospects of the Chinese and Korean societies and their acculturation are discussed in this study.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.302-312
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• 2020

This study examined whether there is a difference in cost asymmetry between a corporate listed on KOSDAQ and a corporate listed on KOSPI, and whether there is a difference in cost asymmetry depending on the size of the listed corporate. In the previous study, cost asymmetry was examined only for listed corporate, but the difference in size between KOSDAQ-listed corporate and KOSPI-listed corporate was not examined. However, according to many studies, since the characteristics of corporate and firm risks are different between corporate listed on KOSPI and corporate listed on KOSDAQ, or even for listed corporate, such an impact may affect the decision-making of internal resource allocation. The analysis was conducted that there would be a difference in the impact. For this study, the results of analyzing the KOSPI and KOSDAQ markets from 2011 to 2019 using the cost behavior model of Anderson et al. (2003), There was a difference in cost behavior in the KOSPI and KOSDAQ markets. Overall, as in previous studies, Cost Stickiness was appeared. but in the case of the KOSPI market, Cost Stickiness was mitigated.It was found that corporate with large corporate size made the decision to dispose of idle resources more clearly when sales decreased. In addition, it was observed that the higher the foreign investor's ownership ratio, the KOSPI market, and the larger the corporate size, the more clearly the Stickiness of cost was mitigated. This study expands research on cost asymmetry and reveals that there is a difference between the KOSPI market and the KOSDAQ market, and between the size of the corporate, and has a differentiation from previous studies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.747-754
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• 2023

With the development of information and communication technology, online fractional investment platforms have emerged through the convergence of online platform technology and new investment techniques for asset-backed derivatives. In this study, the concept and previous studies of the online fractional investment platform business, commercialization models and service processes, market status, and pending discussions and alternatives were presented. Recently, the Securities and Futures Commission's decision on securitization of split ownership has become an important guide to the stable business sustainability of platform operators, but academic research is needed according to the current status and case analysis. To identify specific market issues, examples of representative online fractional investment securitization platform businesses such as "MusiCow" for music copyright, "Tessa" based on art, "Kasa" for real estate, "Piece" based on real assets, and "BangCow" for Korean beef shipments were analyzed. Through the case analysis of this study, the characteristics of the business model according to the basic assets of the online fractional investment platform were compared and presented. Since most business models are judged to be securitic, they must comply with the provisions of the Capital Markets Act or be recognized as the target of innovative financial services. From a practical point of view, it is meaningful in that it presented improvement directions that online fractional securitization platform operators should consider and organized institutional considerations for investor protection.

• Journal of Venture Innovation
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• v.1 no.1
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• pp.49-65
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• 2018

For a long time the German economy was primarily defined by large corporations and thriving small and medium-sized enterprises. Since about 2005 a second strand has started to emerge and it is one which is becoming increasingly important and is creating jobs - start-ups in the digital sector. This start-up activity is taking an important role in Germany's economic development: Start-up companies spawn innovations and create jobs, thus promoting the concept of competition. In general "start-up" refers to digitally-driven companies that are not more than five years old. Germany's start-up policy consists of three main parts. First of all, Germany has the characteristics of technology-based start-ups. The Hartz reform since 2002 has shown its focus on technology-based start-ups. In particular, it is the most appropriate for a start-up company to take the role of a new technology company to respond to changes in the global industrial structure. Second, it is approaching from a long-term perspective. In this regard, the small business policy, including Germany's new business policy, is seen as a tradition that can be consistent and can make policy decisions based on the basics rather than following the times. Third, the government is implementing policies centered on demand. Germany's start-up policy is summarized as a technology-based policy and new job creation. The policy response is that the government seeks the best combination of policies by adapting them to the times from the broad trend of employment market policies. What is important here is that policies are made based on consumers, not suppliers, in the process of policy making and implementation. With the Digital Agenda 2020 the Federal government has likewise committed itself to preparing the digital economy for international competition and making Germany the "No. 1 digital growth country in Europe". Ever since 1998 the Federal Ministry for Economic Affairs and Energy (BMWi) has awarded the "EXIST" start-up scholarship to students and graduates. The Ministry also invests in the High Tech start-up fund. Together with Kreditanstalt für Wiederaufbau (KfW) and 18 other investors from the world of business the seed investor promotes young technology companies. Germany offers start-ups a good infrastructure and lots of funding opportunities. Berlin is regarded as Europe's start-up capital and also attracts lots of international young entrepreneurs.

• 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.