• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.215-235
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• 2024

As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.2
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• pp.69-78
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• 2017

Objectives : This study aims to analyze the public investment for Korean Medicine R&D to facilitate the future strategic planning. Methods : All government supported research projects for Korean Medicine that were invested in 2009, 2012, 2015 were searched in the NTIS (National Science & Technology Information Service) Database. Research budgets were analyzed by government departments, R&D agents, R&D steps, and research fields. CAGR (Compound Annual Growth Rate) was derived from each Korean Medicine research field. Differences of research budgets among research fields were tested using Chi square analysis. Results : A total of 891 projects supported in 2009, 2012, and 2015 was analyzed. The amount of research budgets has increased, from 49,839 million won in 2009 to 106,536 million won in 2015 showing 13.5% of CAGR. Ministry of Science, ICT, and Future Planning, and Ministry of Health and Welfare were the biggest sponsors in Korean Medicine R&D. Chi square analysis showed that, in this period, there were statistically significant differences of research budgets in Korean Medicine technology equipment field and infrastructure field. Conclusions : To diversify the Korean Medicine R&D, unequal research funding among government departments should be relieved, and virtuous cycle of Industry-University-Institute Collaboration in Korean Medicine need to be built.

• Journal of Technology Innovation
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• v.27 no.3
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• pp.27-52
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• 2019

This research studied the determinants of private R&D investment by examining the innovation strategies of 481 small and medium enterprises (SMEs, their employee size is 5 or more and less than 300) in Busan, South Korea. The data is derived from the Technology Survey of Small and Medium Enterprises in 2001 and 2003. Three explanatory variables for the innovation strategies are the R&D portfolio, the organization (personnel) for R&D, and the strategic role of CEO for innovation. The technological levels of industries are controlled in the linear regression model. The dependent variable is the total private R&D investment of a firm in the given fiscal year. The empirical results indicate that the private R&D investment positively correlates with the complexity of the R&D portfolio, the formal organization for R&D team, and the increase of R&D personnel. The formal organization for R&D team and the number of R&D personnel are correlated with the increase of private R&D investment across the four groups in the manufacturing sector but not in the service sector. These findings suggest that the innovation policy needs to target firms who have complex R&D portfolios, the formal organization of R&D teams, and sufficient R&D personnel in order to increase the private R&D investment of SMEs in regions, with consideration of industrial characteristics.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.291-311
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• 2009

Intellectual Property(IP) investment and its management are an key driver to create corporate value and intangible asset value through corporate's competitiveness. The purposes of this study are to survey capability of IP management and assess the effects of IP investment and its management on the separation into groups of intangible asset value. In order to attain those purposes of this study, sample companies were taken and categorized into three groups by the level of intangible asset value ratio, and data for IP investment such as R&D expenditure and advertising expenditure were collected from 90 manufacturing companies, and data for IP management capability about patent, design and brand were taken through survey. The final results showed as followed: First, IP management capability were generally not sufficient in the results of survey. Second, mean vector for the four variables were significantly different among three groups in multivariate analysis variance. Third, the order of their contribution to separating the groups were R&D expenditure, advertising expenditure, patent management, management of design and brand in canonical variate analysis. Fourth, R&D and patent management capability were significantly related to the separation of three groups, while advertising expenditure were not significant and management of design and brand were not sure of Significance in multinomial logit discriminant analysis. Fifth, exploratory power of the discriminant model were estimated by 53% in classification analysis. Finally, strategic policy for IP investment and its management should be taken urgently to create intangible asset value and to improve the capability of its management.

• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.844-856
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• 1998

Globally, cancer research has been considered one of the most important field of biomedical researches. Recently, in Korea, there are increasing concerns about cancer research and the development of national cancer control programme. For the efficient investment in cancer research at the national level, strategic approach is needed based on the nationwide information about current status of research. However even the basic data on cancer research have not been systematically collected, and are not available when necessary. The aim of this study is to assess current status of cancer research. For this purpose, this study applied two round Delphi method in which fifteen experts in cancer research fields participated. They rated each items on the initial list at the first round, and modified their responses at the second round. Panels responded that pathogenesis of cancer, research & development of cancer drug, and oncogene, etc. are the most urgent and important research Holds. They assessed national level of cancer research as being 49.6% of the world highest level. Coefficient of variation tended to be lowered with the iteration. Predictive stability was evaluated to be lower in items of urgency than in items of importance and research level. Although this study shares the same limitations in the selection of the experts with many other Delphi studies, it provides a primary data that would be required to plan the national strategy of the cancer research.

• Journal of Digital Convergence
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• v.3 no.2
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• pp.73-116
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• 2005

When people contact the government they can use a variety of channels. That is, they go in person to an office, use a telephone service, access information via the Internet, send a letter, or use a third party. Since the Australian Government first recognised the potential of online technology to improve service delivery in its 1997 Investing for Growth statement, it has articulated its policies and strategies for e-government in a number of papers. E-government involves government agencies delivering better programs and services online through the use of new information and communication technologies. The policy papers included Government Online-The Commonwealth's Strategy, launched in April 2000, and a new framework for e-government, Better Services. Better Government, launched in November 2002. Most recently, the Government released Australia's Strategic Framework for the Information Economy in July 2004. These papers outlined the broad directions and priorities for the future of e-government in Australia, and sought to maintain the momentum of agencies' actions under Government Online. One of its key objectives was for agencies to achieve greater efficiency in providing services and a return on their investments in ICT (Information and Communication Technology)-based service delivery. They also stated that investing in e-government should deliver tangible returns, whether they take the form of cost reductions, increased efficiency and productivity, or improved services to business and the broader community Implementation of the Government policy has led to considerable agency investment in ICT-based service delivery. However government policy also requires managers to ensure that program and service delivery is efficient and effective. Efficient and effective use of ICT has the potential to improve service delivery and to make financial savings. This paper outlines how people are using the channels to contact the government in Australia. It also examines the level of satisfaction they have with those services and their preferences and expectations. In addition, this paper aims at identifying the methods used by Australian Government to measure the efficiency and effectiveness of their delivery of services, and at assessing the adequacy of these methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.931-940
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• 2021

As information security(IS) is recognized as a critical success factor for organizational growth, organizations are increasing their investment in adopting and operating strict IS policies and technologies. However, when strict IS technology is adopted, IS-related techno-stress may occur in the employees who apply IS technology to their tasks. This study proposes the effect of IS-related techno-stress formed in individuals on IS policy resistance through IS strain and proves that task-technology fit mitigates the negative effect of techno-stress. Research models and hypotheses were presented through previous studies, and the secured samples were used, and structural equation modeling was applied to verify hypothesis. As a result of the study, it was confirmed that IS-related techno-stress (overload, complexity) affected IS policy resistance through IS strain (anxiety, fatigue), and that task-technology fit moderated the relationship between techno-stress and strain. This study suggests a strategic direction for improving the level of internal IS from the viewpoint of suggesting ways to mitigate the stress of employees that may occur when IS policies and technologies are adopted.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.35-55
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• 2013

Information technology is a critical resource necessary for any company hoping to support and realize its strategic goals, which contribute to growth promotion and sustainable development. The selection of information technology and its strategic use are imperative for the enhanced performance of every aspect of company management, leading a wide range of companies to have invested continuously in information technology. Despite researchers, managers, and policy makers' keen interest in how information technology contributes to organizational performance, there is uncertainty and debate about the result of information technology investment. In other words, researchers and managers cannot easily identify the independent factors that can impact the investment performance of information technology. This is mainly owing to the fact that many factors, ranging from the internal components of a company, strategies, and external customers, are interconnected with the investment performance of information technology. Using an agent-based simulation technique, this research extracts factors expected to affect investment performance on information technology, simplifies the analyses of their relationship with economic modeling, and examines the performance dependent on changes in the factors. In terms of economic modeling, I expand the model that highlights the way in which product quality moderates the relationship between information technology investments and economic performance (Thatcher and Pingry, 2004) by considering the cost of information technology investment and the demand creation resulting from product quality enhancement. For quality enhancement and its consequences for demand creation, I apply the concept of information quality and decision-maker quality (Raghunathan, 1999). This concept implies that the investment on information technology improves the quality of information, which, in turn, improves decision quality and performance, thus enhancing the level of product or service quality. Additionally, I consider the effect of word of mouth among consumers, which creates new demand for a product or service through the information diffusion effect. This demand creation is analyzed with an agent-based simulation model that is widely used for network analyses. Results show that the investment on information technology enhances the quality of a company's product or service, which indirectly affects the economic performance of that company, particularly with regard to factors such as consumer surplus, company profit, and company productivity. Specifically, when a company makes its initial investment in information technology, the resultant increase in the quality of a company's product or service immediately has a positive effect on consumer surplus, but the investment cost has a negative effect on company productivity and profit. As time goes by, the enhancement of the quality of that company's product or service creates new consumer demand through the information diffusion effect. Finally, the new demand positively affects the company's profit and productivity. In terms of the investment strategy for information technology, this study's results also reveal that the selection of information technology needs to be based on analysis of service and the network effect of customers, and demonstrate that information technology implementation should fit into the company's business strategy. Specifically, if a company seeks the short-term enhancement of company performance, it needs to have a one-shot strategy (making a large investment at one time). On the other hand, if a company seeks a long-term sustainable profit structure, it needs to have a split strategy (making several small investments at different times). The findings from this study make several contributions to the literature. In terms of methodology, the study integrates both economic modeling and simulation technique in order to overcome the limitations of each methodology. It also indicates the mediating effect of product quality on the relationship between information technology and the performance of a company. Finally, it analyzes the effect of information technology investment strategies and information diffusion among consumers on the investment performance of information technology.

• Journal of the Korean Geographical Society
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• v.51 no.2
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• pp.235-253
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• 2016

China has been developing a new auto industry growth plan since 2004. In line with this initiative, China actively adopted its policy favoring foreign companies' investment which had a competitive edge over their technologies and manufacturing methodologies. To meet this demand in policy and market change, many foreign auto companies and their parts' manufacturers including Korean auto companies joined this stream. Policy change favoring higher technologies applicable in China requested auto companies' swift adaptation to meet the policy requirements by higher technologies with innovation and introduction of those foreign technologies to China. The spatial (excellence) strategy was followed by the increase in its efficiency and competiveness of each region, which were materialized by or in the form of; Firstly, strategic partnership with China auto companies and encouragement of Korea auto parts manufacturing companies to set up its own factories in China. Secondly, modularization and platform sharing strategy by applying enhanced technologies. Thirdly, strategic utilization of China local government's incentive policies. As production management methodology, JIS was adopted all across the board to meet the on-demand market requirements in the manufacturing processes. Auto part manufacturers had been integrated regionally based on forward linkages and modules. As a result, regional-specific auto industry complexes have been made in the places such as Beijing-Hyundai in the north, Dongfeng-Yueda-Kia in the south, common auto parts at central area like Qingdao, and other parts and raw materials in the vicinity of Shanghai.

• International Commerce and Information Review
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• v.16 no.3
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• pp.121-138
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• 2014

China and Korea have interacted with each other for 20 years since 1992 when China and Korea established diplomatic relations. During this period, the trade and investment between two countries have increased rapidly. In addition to the enhancement of economic cooperation and the expansion of personal exchange, the relationship between two countries was upgraded to mutual strategic cooperative relationship in 2008 from the 1 friendly and cooperative relations and the economic exchange and cooperation were largely expanded. In this paper, the current situation and characteristics of the trade between China and Korea were figured out. In order to find out the development direction of China and Korea trade, through empirical analysis, the correlation of decisive factors that influence the trade amount of these two countries were analyzed. In terms of dependent variables for the empirical analysis, the trade amount between China and Korea was considered. While the GDP of these countries, the direct investment amount of two countries and the openness of external trade of these countries were considered as independent variables. The degree of economic freedom of these countries was set as policy variable. According to the analysis results, when the GDP of China and Korea is getting higher, there is positive influence on the trade amount of China and Korea. It is showed that the direct investment of Korea has positive influence on the trade amount of China and Korea. Meanwhile, there is negative influence of China's direct investment on the trade amount. When the degree of freedom of these countries is getting higher, the influence of trade amount was showed significantly. Furthermore, when the economic freedom of these countries is getting higher, the insignificant things about trade amount of China and Korea were extracted as insignificant.