• Journal of Technology Innovation
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• v.24 no.1
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• pp.113-142
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• 2016

T-50 exportation to Indonesia embodied an objective of governmental policy and became a catalyst accelerating the exportation of domestic defense industries. Defense industry exportation is recognized as a new growth engine creating economic interests and it became an important policy of the government. This study will suggest an effective direction for the support policy of the defense industry exportation through analysis on factors behind the success of the T-50 exportation to indonesia in the view of policy network. Policy network theory has its efficacy and workability in analyzing what kind of results are yielded from each policy actor's attributes and their interaction during the execution and establishment of the support policy for the defense exportation. The type of policy network of the T-50 exportation to Indonesia was a policy community. Many governmental ministries, defense industry which is the group of interest, and experts from the research institutes have established the Korea Defense Trade Support Center(KODITS) for accomplishing common policy goal with mutually shared sentiment, and sought for a strategy for the success of the defense industry exportation having official and unofficial meeting centering around the KODITS. Although there were oppositions and conflicts among major actors, though forming a cooperative relationship among majority of the actors, policy-wise decision making for the exportation of the T-50 to Indonesia was efficiently carried out. The cooperative relationship was the key in the success of the T-50 exportation. Considering that the policy community from cooperative mutual interaction is efficient in reaching the goal of the defense industry exportation support policy, this study suggests operating government-wise temporary Task Force(TF) to succeed in big exportation projects such as the T-X exportation to the U.S. In addition, institutional and procedural supplementation such as regular meetings among the head of related governmental ministries and etc. are required in order to enhance the mutually cooperative relationship withing the TF.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.121-133
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• 2020

This study aims to measure the result of R&D support projects on the beneficiary companies of the World Class 300 project, a representative domestic middle market enterprise incubation project. In particular, beneficiary companies were classified into industry groups(materials, components, equipment, modules, consumer goods) and the empirical study was conducted on how the result of R&D support project was differentiated by each industry group's characteristics. The analysis was performed on 272 companies selected as WC300 project during 2011 to 2017. The result of Panel regression Analysis confirmed that R&D support project had divergent influences on the performance (net profit) of companies depending on which industry group they belong. The samples of materials, components, equipment companies turned out not to have statistical significance. The samples of modules companies showed negative correlations, while those of consumer goods was observed to have positive correlations. This study demonstrates that it is essential to plan and implement policies suited to the characteristics of each industry groups to maximize the effect of R&D support projects henceforward.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.8096-8105
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• 2015

The purpose of this research is to understand influence of personal turnover factors and work turnover factors on job satisfaction in career decision-making and to analyze the moderating effects of supervisor support in their relations. Meaningful difference between one group with high supervisor support and other group with low supervisor support is demonstrated in regard with a course; job burnout ${\rightarrow}$ job satisfaction, and work overload ${\rightarrow}$ job satisfaction. Hence from a perspective of the course of job burnout ${\rightarrow}$ job satisfaction and work overload ${\rightarrow}$ job satisfaction, it can be argued that a group with low supervisor support yields more influence. Also it is shown that conflicts on balancing between job and family do not have influence on job satisfaction for either group with high supervisor support or with low supervisor support. As the result of the research shows, it bears a quite significant meaning that career development/lack of opportunity out of personal turnover intentions disclose difference between these two groups with different levels of supervisor support. Especially, a group of flight attendants which females are consisted of a majority of employees would require that their supervisors have more emotional interactions with each employee, so as that better opportunity would be given to the employees. To this end, utmost efforts are needed that deep and genuine relations with a supervisor can be built up.

• Industry Promotion Research
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• v.9 no.4
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• pp.17-28
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• 2024

Recent advancements in AI have significantly transformed corporate marketing strategies, benefiting SMEs as well. While government support services play a key role in promoting firm & startup growth, research on optimizing their effectiveness remains limited. This study examines the sequential mediating roles of absorptive capacity & government support services in enhancing AI marketing outcomes using Hayes' (2018) Process Macro Model 6. Results show that while AI marketing does not directly impact competitive performance or government support services, it positively influences absorptive capacity, which in turn positively affects government support services & competitive performance. The findings highlight the importance of firms enhancing their absorptive capacity & efficiently using government support, while governments should design more effective support programs & policies for firms to fully leverage these resources.

• Asian Journal of Innovation and Policy
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• v.13 no.1
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• pp.1-28
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• 2024

Enhancing the efficiency of research and development (R&D) is crucial for organizations to remain competitive and generate innovative solutions. Data Envelopment Analysis (DEA) has emerged as a powerful tool for evaluating R&D efficiency. However, traditional DEA models heavily rely on the selection of input and output variables, which can limit their effectiveness. To overcome this dependency and improve the robustness of DEA, this study proposes a novel methodology that integrates machine learning techniques with DEA for determining the most suitable input and output variables. The proposed approach is particularly relevant for specialized R&D fields, such as Radiation Emergency Medicine (REM). REM is a critical domain that deals with the medical and public health consequences of nuclear emergencies. The selection of REM as the focus of this study is motivated by several factors, including the unique challenges posed by the field, the potential for significant societal impact, and the need for efficient resource allocation in emergency situations. By leveraging machine learning algorithms, such as Support Vector Machines (SVM), the proposed methodology aims to identify the most relevant input and output variables for DEA in the context of REM. The integration of machine learning enables the DEA model to capture complex relationships and non-linearities in the data, leading to more accurate and reliable efficiency assessments. The effectiveness of the proposed methodology is demonstrated through a comprehensive evaluation using real-world REM data. The results highlight the superior performance of the machine learning-integrated DEA approach compared to traditional DEA models. This study contributes to the advancement of R&D efficiency assessment in specialized fields and provides valuable insights for decision-makers in REM and other critical domains.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.576-606
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• 2017

It is more salient in the high-tech industry to cooperate even among competitors in order to promptly respond to the changes in product architecture. In this sense, 'co-opetition,' which is the combination word between 'cooperation' and 'competition,' is the new business term in the strategic management and represents the two concepts "simultaneously co-exist." From this view, this study set up the research purposes as follows: 1) investigating the corporate managerial and technological behavioral characteristics in the co-opetition of the global display industry. 2) verifying the emerging factors during the co-opetition behavior hereafter. 3) suggesting the strategic direction focusing on the co-opetition behavioral characteristics. To this end, this study used co-word network analysis to understand the structure in context level of the co-opetition. In order to understand topics on each network, we clustered the keywords by community detection algorithm based on modularity and labeled the cluster name. The results show that there were increasing patterns of competition rather than cooperation. Especially, the litigations for mutual control against Korean firms much more severely occurred and increased as time passed by. Investigating these network structure in technological evolution perspective, there were already active cooperation and competition among firms in the early 2000s surrounding the issues of OLED-related technology developments. From the middle of the 2000s, firm behaviors have focused on the acceleration of the existing technologies and the development of futuristic display. In other words, there has been competition to take leadership of the innovation in the level of final products such as the TV and smartphone by applying the display panel products. This study will provide not only better understanding on the context of the display industry, but also the analytical framework for the direction of the predictable innovation through analyzing the managerial and technological factors. Also, the methods can support CTOs and practitioners in the technology planning who should consider those factors in the process of decision making related to the strategic technology management and product development.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.131-141
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• 2019

This study is an empirical analysis of the characteristics of the organization and the performance of the company. The characteristics that make up the culture of a company's organization determine its success. Overcoming the company's closed cultural characteristics, entrepreneurial orientation, delegation, openness of organizational culture, and R&D capabilities have a positive impact on the company's performance. These characteristics of the company also play a positive role in embracing open innovation to generate innovative results. The characteristics of a company positively consider the acceptance and utilization of external resources. These variables proved that the nature of a company's organization is a factor in generating a company's performance. In this process, open innovation and the acceptance of external resources also proved to be a positive factor in generating corporate performance. The contents of this study provide an academic basis for the variables that build corporate organizational culture and provide a practical attitude to the role of leaders in managing corporate organizational culture. This study is focused on women's SMEs. n future research, the overall characteristics of the company will be considered. In addition, this study attempts to verify by applying various variables for generating performance of domestic SMEs by reflecting overcoming regional limitations.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.1-16
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• 2022

This paper studies the impact of regulatory approaches on innovation and entrepreneurship. As technological progress and environmental changes avail new business opportunities to innovative startups, many governments find it difficult to regulate new and unprecedented businesses promoted by the innovative firms. In order to provide academic and practitional implications on the regulatory design with which to support innovation and entrepreneurship, this paper aims to review classical theories on the demand and supply of regulation as well as empirical research on the impact of regulation on market entry and incentives for innovation. Based on the findings, this paper discusses the recent controversies around the regulatory approaches on new businesses pursued by startups, which are as known as the "positive regulatory approach" vs. "negative regulatory approaches" among practitioners and policy makers in Korea. This paper claims that the Korean context provides an useful opportunity to investigate how the ongoing transition of the once "fast follower" economy into a pacesetter one changes the nature of businesses pursued by firms, investors, and related market players and, accordingly, calls for the changes in the way the government intervenes in markets to regulate businesses of firms. By doing so, this paper sheds light on the role of the government in establishing an entrepreneurial ecosystem where innovative ideas of startups can be tested and nurtured.

• The Journal of Information Technology
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• v.8 no.4
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• pp.91-102
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• 2005

In this paper, development of embedded system based on Windows CE 5.0 which released recently is studied. Embedded softwares for the target board using S3C2410A SOC based on ARM920T core are composed of (1) BSP(Board Support Package) contains an OAL(OEM Adaptation Layer) which includes a boot loader for initializing and customizing target hardware, device drivers, and a corresponding set of configuration files (2) Windows CE 5.0 kernel (3) SDK and MP3 test application. Particularly, PB(Platform Builder) provides the efficient functions to build, test and debug the BSP and CE kernel. It is looked forward to being widely spread that Windows CE 5.0 will be utilized at smart devices such as PMP, CNS and DMB phone which inevitably require a display device.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.41-51
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• 2015

The purpose of this research is to investigate the relationship between job creation and ICT usage in service industries. This research is particularly important because job creation is one of the most critical issues for the country. With technology innovation and system integration, manufacturing industries do not create enough employment, therefore, the society relies on service industries for creating job opportunities. Until now, due to limitations, analysis of job creation in service industries through ICT usage has not been investigated in depth. Thus, development of an effective ICT support policy was impossible. In this research, we used seven methods to investigate overall relationship between ICT usage level and job creation. A rule of large numbers has been applied to reach conclusion. Through this research, the government can focus its investment on service industries where job creation rate is the highest. We can expect both reinforcement in competitiveness of our service industry and continuous creation in employment, eventually leading to a virtuous cycle.