• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.601-614
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• 2012

This paper is aimed to analyze the determinants and their relative importance that affect regional competitiveness in the era of globalization and climate change. The panel model was set by a balanced panel data for 7 metropolitan areas & 9 provinces and for the period of 2001~2010. Gross regional income per capita is used as the dependent variable and competitiveness-based factors, economic production factors, and climate change adaptation factors are selected as the explanatory variables. In this study, Model 1(typical regional competitiveness model) and Model 2 (added adaptation to climate change adaptation factors) were compared. The important findings can be summarized as follows. The most influential determinants on regional competitiveness are the ratio of knowledge-based industries and human capital and energy inefficiencies decrease the regional competitiveness. Compared to Model 1, Model 2 showed that the effects of the regional openness and the technology innovation capital are relatively more influential in Model 2. The results of this empirical study provide policy implications to strengthen the regional competitiveness in the future of the era of globalization and climate change.

• International Area Studies Review
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• v.15 no.3
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• pp.285-306
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• 2011

This paper analyzed the effects the regional competitiveness index on the characteristics of the regional growth. This study divides the regions in the US based on the static and dynamic standard of income for the characteristics of the regional growth. The results of the analysis are as follows. First some regions such as Alaska, Connecticut, Maryland, Massachusetts, Virginia, Washington and Wyoming have higher levels of SCI and both the rate of growth and per capita income than the national average. These are considered prosperous regions based on their high level of SCI. Second, in regards to the relation between the income level and regional competitiveness index for the regional growth, the variables such as human resource, science technology, business incubation, openness, safety and environmental policy are significant. Third, infrastructure, human resource, science technology and openness are the significant variables concerning the relation between the rate of income growth and regional competitiveness index for the regional growth.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.663-671
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• 2017

This study analyzed the determinants influencing competitiveness of artificial intelligence industry of Korea. Analysis showed that the factors having the greatest influence on the national competitiveness of the artificial intelligence industry were, in decreasing order of importance, R&D, capital, and ICT competitiveness. Given the capital-intensive characteristic of the artificial intelligence technology, it is important to enhance the national R&D capacity in artificial intelligence technology and ICT, and to make substantial investments in the establishment of related infrastructure. Considering that the development and utilization of ICT infrastructure serves as the basis for artificial intelligence technology, the high standards of Korean consumers are expected to have a positive catalytic effect on the acquisition of national competitiveness for the artificial intelligence industry. For companies to respond in a timely manner to the rapid dissemination and high impact of artificial intelligence technology, they must prepare for such advancements by improving their competencies.

• The Journal of Information Systems
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• v.28 no.3
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• pp.141-158
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• 2019

Purpose Artificial Intelligence (AI) is a core technology, leading the 4th industrial revolution. This study aims to diagnose the Korean's national competitiveness for AI technologies through patent analyses. Design/methodology/approach In this study, KIWEE and Derwent Innovation databases were used as data source of patents. we extracted 10,510 AI patents data with keywords and classified them into 15 subcategories of AI technology. We executed patent analyses for activity index, patent intensity index, technology strength, and patent family size and diagnosed Korea's national competitiveness in AI industry. Findings The results showed that Korea is less competitive than the United States and Japan in AI industry. However, patent amount has increased since 2010, which is encouraging result. This study has implication on the need for human and R&D investment in AI industry.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.201-206
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• 2022

The main purpose of the study is to analyze the features of innovation and project management in the system of improving the performance of personnel as a factor in ensuring competitiveness and investment security. For the successful operation of enterprises, regardless of their form of ownership and field of activity, in order to carry out effective activities, they turn to innovative methods related to the formation of the potential of the workforce, and increasing the level of education and qualifications of staff and establishing their potential ability to make independent decisions. Based on the results of the study, the key features of innovation and project management in the system of improving the performance of personnel as a factor in ensuring competitiveness and investment security are characterized.

• Informatization Policy
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• v.31 no.2
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• pp.39-64
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• 2024

This study assesses the national AI competitiveness of 38 OECD countries with focus on AI human capital, AI infrastructure, and AI innovation capacity. Utilizing the fuzzy-set ideal type analysis method, these countries were categorized into eight distinct types based on their national AI competitiveness levels, leading to the derivation of pertinent implications. The analysis identified a category termed "AI Leading Country" consisting of North American, Western European, and Nordic countries, along with several Asian nations including South Korea. Remarkably, the United States demonstrated dominant global national AI competitiveness, achieving the highest fuzzy scores across all three evaluative factors. South Korea was classified as an "AI Leading Country" primarily due to its superior AI infrastructure, but its performance in AI human capital and AI innovation capacity was found to be moderate relative to other analyzed nations; thus highlighting the necessity of sustained focus on the accumulation of AI human capital and bolstering of AI innovation capacity.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.67-72
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• 2021

The article identifies areas for effective management of innovative development. The competitiveness of the economy in the context of European integration and economic security is assessed. The level of innovative economy of some countries of the world is analyzed. The issue of attracting foreign investors to stimulate innovative production in Ukraine is raised. It is identified the need for the formation of an updated state policy capable of providing innovative development and improving the competitive position of the state in international rankings. Emphasis is placed on the need to form a critical mass of managers-civil servants capable of developing, implementing and monitoring the policy of innovative development of entrepreneurship.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.871-878
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• 2018

The government of Gyeongbuk in Korea increased the financial input in the agricultural sector by 43% from 2008 through 2012. However, the productivity of the agricultural sector in Gyeongbuk rose only about 3.6% during the same period. This study evaluated the agricultural competitiveness of each city or county in Gyeongbuk using six evaluation indices (scale, productivity, finance input, location quotient, technical education, and total) and investigated the relationship between the indices and total values of agricultural productions. The results show that Sangju, Gyeongju, Andong, Uiseong, and Seongju have high competitiveness for the scale index. For the productivity index, Gimcheon, Mungyeong, Ulleung, Yeongju, and Seongju were highly evaluated. For the location quotient index, Yeongcheon, Uiseong, Cheongdo, Seongju, and Sangju have high competitiveness. Uiseong, Yeongdeok, Cheongsong, Gunwi, and Yeongyang were highly evaluated for the agricultural finance input index. For the agricultural technical education index, Chilgok, Sangju, Mungyeong, Uiseong, and Gyeongju have high competitiveness. Finally, Sangju, Euiseong, Yeongcheon, Gyeongju, and Andong were highly evaluated for the total competitive index, while Yeongdeok, Yeongyang, Goryeong, Uljin, and Cheongsong have a low competitiveness for the total competitive index. This study also found that out of five indices, scale, location quotient, and technical education indices have a positive and statistically significant effect on the total values of agricultural production. However, we did not find any statistically significant effect of the productivity and finance input indices on the total values of agricultural production. Hence, we can conclude that the government should focus their agricultural policy on scale, location quotient and education to improve total agricultural production.

• Korean Journal of Agricultural Science
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• v.32 no.2
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• pp.181-195
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• 2005

This study is to provide a comprehensive overview of the changing vegetable sector of Chinese agriculture and to analyse the competitiveness of Chinese vegetable production. China now produces more than 60% of the world's vegetable supply and that 150 million people are engaged in vegetable production, processing and marketing since the reform of vegetable industry structure started in the late 1980s. As a labour abundant industry, China also features more comparative advantages in the vegetable trade. Although China's vegetable exports still accounts for only 1% of total production, the 5 million tons of export in 2003 makes China one of the largest vegetable players in the international markets. When estimating competitiveness of China's vegetable industry, China's producers' prices for vegetables are founded to be only from 10%~40% of what they are in Korea, while most of China's vegetables have also strong competitiveness in quality. As China joined the WTO in 2001 and expects to increase market share in vegetable trade, the development strategy for Korea's vegetable industry are suggested as follows; 1) focusing on the technology for the growth of vegetable productivity, 2) developing the higher value added vegetable industry through processing, 3) expanding the exported area and leading vegetable varieties.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.66-83
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• 2022

Artificial Intelligence (AI) is to assumed to be one of next generation technology which determine technological competitiveness and strategic advantage of a certain country. By using the patent data, this study aims to have a comparative analysis of the technological competitiveness of evolving artificial intelligence at different stages of development among the five largest intellectual property offices in the world (IP5). For the analysis data, all AI technology patent data from 1956 to 2019 were utilized according to the classification system presented in the "WIPO 2019 Technology Trend: Artificial Intelligence" report published by the World Intellectual Property Organization (WIPO) in 2019. The results shows that China has already surpassed the United States in terms of the number of patent applications in the field of artificial intelligence technology. However, in the domains of the United States, Europe, Japan, and Korea, the technology competitiveness of the United States is far ahead of China. Interestingly, the rate of increase of Korea's technology competitiveness is also very fast, and it has been shown that the technology strength is ahead of China in non-Chinese domains. The significance of this study can be found in the fact that the temporal and spatial change process of technological competitiveness of significant countries in the field of artificial intelligence technology artificial intelligence was viewed as a macro-framework using the technology index (TS) the differences were compared.