• International Area Studies Review
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• v.15 no.3
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• pp.451-470
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• 2011

Many countries are committed to absorb foreign direct investments (FDIs). One of the strong motivations is the improvement of innovative capability through the technology spillover of FDI firms. The effect of FDI technology spillover has been widely researched not only on country level, but industry level. With the evolution of globalization and global sourcing of multinational companies, it is necessary to reexamine the relationship between innovation ability of an industry and spillover effect of FDI. This paper investigates the technology spillover effect of FDI on the innovation of Chinese firms. We gathered the data of 34 industries form various sources of Chinese government and the time span is 2001-2008. By using industry level panel data, we set panel data analysis model. In the model, there are two explanatory variables: backward and foreward integration. The analysis result shows that technology spillover of FDI has significant effect on the innovation of foreward integration FDI.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.169-170
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• 2019

Lately, as artificial intelligence becomes a source of global competitiveness, the government is strategically fostering artificial intelligence that is the base technology of future new industries such as autonomous vehicles, drones, and robots. Domestic artificial intelligence research and services have been launched mainly in Naver and Kakao, but their size and level are weak compared to overseas. Recently, deep learning has been conducted in recent years while recording innovative performance in various pattern recognition fields including speech recognition and image recognition. In addition, deep running has attracted great interest from industry since its inception, and global information technology companies such as Google, Microsoft, and Samsung have successfully applied deep learning technology to commercial products and are continuing research and development. Therefore, we will look at artificial intelligence which is attracting attention based on previous research.

• Fourth Industrial Review
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• v.1 no.1
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• pp.1-10
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• 2021

Purpose - This case study analyzes the internationalization strategy and innovation strategy as key factors contributing to the business success of CAP, a small and medium-sized manufacturing company in Korea producing auto parts such as wipers. This study describes the diversification strategies conducted by CAP Corporation and highlights the company's core competencies that have largely contributed to their global competitive success. Research design, data, and methodology - This paper provides in-depth case study on how CAP was able to grow into a hidden champion company, focusing on their strategies since its establishment. In particular, by analyzing the success factors centering on CAP's aggressive innovation strategy and internationalization strategy, it presents guidelines for small and medium-sized enterprises in Asian countries to become a Hidden Champion company. Result - CAP's product technology has successfully established innovative system on their product called 'vertebra spring' to distribute uniform pressure to the rubber to ensure performance as well as durability of their products. In order to continue benefiting from utilizing core competence and to continue pursuing technological advancement in the wiper industry, CAP has launched a wide range of products (flat blade, conventional blade, hybrid blade) applicable to 95% of the vehicle in the market. Conclusion - Taken together, CAP has many aspects of a hidden champion company by investing in R&D up to 8% of its annual sales to R&D investment even during the crises situation. This number is about 3.36 times higher than the average ratio of listed companies in Korea. Furthermore, the leadership of the management team as well as their vision toward the global market and strong commitment to innovation enabled CAP to become the world's fifth-largest wiper and Asia's No. 1 wiper manufacturer.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.228-233
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• 2021

As the number of successful design innovation product cases in business increases, interest in design innovation is increasing. This study aims to examine how the design innovation (functionality, ergonomics, aesthetics) of Bluetooth speaker products affects the customer's preference and purchase intention. It proposes a research model through rational behavior theory (TRA) and technology acceptance model (TAM) for empirical research. The questionnaire was composed of questions to understand the influence of design innovation, favorability, and purchase intention. As a result of the study, functionality, ergonomics, and aesthetics influenced product preference and purchase intention. In order for the innovative product of Bluetooth speaker design to be accepted in the early market, it is most important to form a positive attitude toward favorability centering on function and aesthetics. Favorability is a factor that has the most decisive influence on the purchase intention of design innovation products, and companies must discover and reinforce various factors that positively affect the preference.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.1-22
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• 2022

The purpose of this study is to analyze key concepts of Entrepreneurial Ecosystems and to suggest implications for economic geographical studies. The definition and concept of entrepreneurship as well as changes of its research trends were examined. By combining entrepreneurship and geography, Entrepreneurial Ecosystems, which have recently emerged as important concepts and theories, were examined with the focus on the key concepts such as 'actors and factors', 'productive' and 'territory'. It is important that the individual, organizational and institutional components such as entrepreneurs, start-ups, existing companies, institutions and cultural elements are interconnected to build communities through 'entrepreneurial recycling'. Entrepreneurial Ecosystems support to create innovative high-growth start-ups based on entrepreneurial culture in the local region. Despite conceptual limitations, theoretical and empirical analyses should be conducted from economic geographical perspectives in order to reveal the geographical and spatial processes of productive entrepreneurship and to suggest policy implications for region-based start-up ecosystems.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.331-342
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• 2022

The business environment of today's small and medium-sized manufacturing enterprises (SMEs) has a tendency to shorten the product life cycle due to the rapid technological change. Therefore, in this study, an empirical study was conducted to understand the influence of CEO type and technological innovation capability on management performance through technological innovation performance as a medium. The subject of the study was a survey focusing on executive level and above of small and medium-sized manufacturing companies in the southeast region, and the research results are as follows. Overall, it was verified that the structural causal relationship between the technological innovation performance and the management performance of the CEO type and technological innovation capability of small and medium-sized manufacturing enterprises is a relationship that has a significant influence with mutual correlation. These results indicate that higher performance can be achieved when technological innovation performance is combined with the effect of technological innovation capability on management performance according to CEO type. In this way, SMEs are trying to present the need for various innovative activities to discover excellent technologies and acquire competence, and to suggest a development direction that requires efforts to improve the technological competitiveness of enterprises.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.897-908
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• 2022

The purpose of this study is to prove the hypothesis that the learning transfer climate, such as individual learning self-efficacy and corporate innovative knowledge transfer, will play a mediating role in the relationship between design competency strengthening education and individual performance considering the designer's characteristics. This is meaningful in expanding the meaning of design education and training by quantitatively analyzing the learning transfer climate that affects learning self-efficacy and organizational culture according to the characteristics of designers, unlike existing studies that simply investigate the satisfaction of education. Specifically, this study set up seven hypotheses, and as a result, it was found that design capacity building education for designers, learning self-efficacy, and learning transfer climate of companies had a significant effect on individual performance.

• Journal of Biomedical Engineering Research
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• v.44 no.4
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• pp.225-241
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• 2023

The study empirically analyzed the differences in industry distribution and innovation activity performance in the metropolitan and non-metropolitan areas of Korea's bio companies, which are highlighted as future growth engines. The main innovation activities of the bio industry, which are focused on science and technology and expressed with high uncertainty, were analyzed, centering on human resources, technology cooperation, and investment promotion. As a result of the analysis, the biomedical industry in the metropolitan area was found to have a high proportion, and bio foods, bio-based chemicals, and energy industries in the non-metropolitan area, respectively. Moreover, the innovation activity performances differed between the two regions. In particular, the notable characteristics included human resources, investment promotion, and technical cooperation with medical institutions in the metropolitan area with a high proportion of biomedical industries, and technology personnel exchange and cooperation with private research institutions in the non-metropolitan area, which has a high proportion of bio foods, bio-based chemicals, and energy industries. This study is significant in that it is the first study to compare and analyze the performance of innovative activities based on the distribution of industries in the bio-industry, focusing on human resources, technology cooperation, and investment promotion. In addition, after investigating the distribution status and competitiveness of the domestic bio-industry by region, it will analyze the status and characteristics of the domestic bio-industry and present policy implications to implement relevant promotion policy more efficiently.

• Knowledge Management Research
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• v.23 no.4
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• pp.159-175
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• 2022

As creativity is a crucial attribute for companies' survival and innovative success, many firms encourage and implement ways to promote employee creativity. Previous studies in the dual pathway to creativity model have shown that creativity can be enhanced when either the cognitive flexibility or cognitive persistence path is triggered. Although individuals have different personal traits, prior research has rarely investigated whether one pathway is more effective for a certain personality in promoting creativity than the other. Using attachment theory, we examined the influence of attachment style on the degree of the impact of each path on creativity. Specifically, we hypothesized that securely attached people would show higher creativity only when they use the cognitive flexibility path. Data from the US support our hypothesis. Our research highlights that the link between cognitive flexibility and creativity is salient when securely attached people use the cognitive flexibility path because of the strong fit between secure attachment and flexible thinking.

• Journal of Fashion Business
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• v.26 no.2
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• pp.28-47
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• 2022

Rapid development of information and communication technology is leading the digital transformation (hereinafter, DT) of various industries. At this point in rapid online transition, fashion manufacturers operating offline-oriented businesses have become highly interested in DT and artificial intelligence (hereinafter AI), which leads DT. The purpose of this study is to examine the development status and application case of AI-based digital technology developed for the fashion industry, and to examine the DT stage and AI application status of domestic fashion manufacturers. Hence, in-depth interviews were conducted with five domestic IT companies developing AI technology for the fashion industry and six domestic fashion manufacturers applying AI technology. After analyzing interviews, study results were as follows: The seven major AI technologies leading the DT of the fashion industry were fashion image recognition, trend analysis, prediction & visualization, automated fashion design generation, demand forecast & optimizing inventory, optimizing logistics, curation, and ad-tech. It was found that domestic fashion manufacturers were striving for innovative changes through DT although the DT stage varied from company to company. This study is of academic significance as it organized technologies specialized in fashion business by analyzing AI-based digitization element technologies that lead DT in the fashion industry. It is also expected to serve as basic study when DT and AI technology development are applied to the fashion field so that traditional domestic fashion manufacturers showing low growth can rise again.