Misun Yun;Hee Eun Jo;Namhee Kim;Hyo Kyeong Park;Young Seo Jang;Ga Hee Choi;Ha Eun Jo;Jeong Hyun Seo;Ji Ye Mok;Sang Min Park;Hak-Jong Choi
Journal of Microbiology and Biotechnology
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v.34
no.4
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pp.838-845
/
2024
Excessive alcohol consumption can have serious negative consequences on health, including addiction, liver damage, and other long-term effects. The causes of hangovers include dehydration, alcohol and alcohol metabolite toxicity, and nutrient deficiency due to absorption disorders. Additionally, alcohol consumption can slow reaction times, making it more difficult to rapidly respond to situations that require quick thinking. Exposure to a large amount of ethanol can also negatively affect a person's righting reflex and balance. In this study, we evaluated the potential of lactic acid bacteria (LAB) to alleviate alcohol-induced effects and behavioral responses. Two LAB strains isolated from kimchi, Levilactobacillus brevis WiKim0168 and Leuconostoc mesenteroides WiKim0172, were selected for their ethanol tolerance and potential to alleviate hangover symptoms. Enzyme activity assays for alcohol dehydrogenase (ADH) and acetaldehyde dehydrogenase (ALDH) were then conducted to evaluate the role of these bacteria in alcohol metabolism. Through in vitro and in vivo studies, these strains were assessed for their ability to reduce blood alcohol concentrations and protect against alcohol-induced liver damage. The results indicated that these LAB strains possess significant ethanol tolerance and elevate ADH and ALDH activities. LAB administration remarkably reduced blood alcohol levels in rats after excessive alcohol consumption. Moreover, the LAB strains showed hepatoprotective effects and enhanced behavioral outcomes, highlighting their potential as probiotics for counteracting the adverse effects of alcohol consumption. These findings support the development of functional foods incorporating LAB strains that can mediate behavioral improvements following alcohol intake.
This paper aims to analysis sectoral innovation patterns of technological innovation and localized knowledge spillover in Korean manufacturing sector. Sectoral innovation system approach proposed that the specific pattern of innovative activity and knowledge spillover in an industry can be explained as the outcome of different technological regimes. Technological regime is defined by the particular combination of technological opportunities, appropriability of innovations, cumulativeness of technical advances and properties of the knowledge base. Based on a sample of 2,882 firms in manufacturing sector, this paper provides empirical estimates of the relationships between firm's product innovation and localized knowledge spillover. Results of the analysis provide considerable support to the hypothesis that firm's product innovation and localized knowledge spillover are related to the nature of the underlying technological regime. In the industry based on the tacit and specific knowledge, firm's product innovation is positively related to the localized knowledge spillover. This paper also shows that high stability in the ranking of innovators are related to high degrees of cumulativeness and appropriability.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.11
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pp.6587-6598
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2014
This study tested the hypothesis from the previous research issues and empirically investigated the determinants of cooperative strategy for technological innovation, using the multinomial logit model. The meaningful conclusions from this study are as follows. First, the characteristics of the company and product are not the significant determinants for cooperative strategy for technological innovation. Second, formal R&D organization characteristics are significant factors in determining the type of cooperative strategy for technological innovation. Third, the support of government is a significant determinant and if a company receives more government support, it is likely to accept public type cooperation. Fourth, the characteristics of industry are significant determinants and if a company belongs to a higher technology industry, it is likely to accept vertical type cooperation with private enterprises. This study analyzed the hypotheses raised in a variety of studies empirically. This paper presents the basis of various studies concerning technological cooperation strategies.
Today, venture companies are increasingly important in that they play a key role in national economic growth. However, ICT venture companies are having great difficulties in securing a sustainable competitive advantage due to rapid environmental changes, and as one of the ways to solve this problem, they rely on the government's support policy. Accordingly, this study analyzed the effect of government support on management performance of ICT venture companies. For empirical analysis, the data from the 2016 ICT venture panel survey was collected, and 687 and 538 companies were selected to analyze the effect of funding and R&D support, respectively. Then, through propensity score matching, companies that received government support and companies with similar characteristics (control group) were compared and analyzed. As a result of the analysis, it was found that funding support had a significant effect on the growth potential of ICT venture companies, and R&D support had a significant effect on the stability of ICT venture companies. This means that there is a difference in management performance of ICT venture companies depending on the type of government support. Through this study, it was possible to confirm the effect of government's policies, and various support policies for specific purposes should be pursued to foster ICT venture companies. In addition, for the continued growth of ICT venture companies in the future, it will be necessary to consider package (technology, management, commercialization, etc.) support rather than individual funding support or R&D support.
Journal of the Korea Academia-Industrial cooperation Society
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v.22
no.4
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pp.441-456
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2021
Enterprise is focused on R&D innovative activities in order to achieve sustainable growth & secure competitive advantage. There are many factors that influence enterprise innovation performance, but enterprise innovation activities do not always have a positive effect. Therefore, this study analyzed the effects of on innovation performance, focusing on innovation acceleration factors and innovation hindrance factors. The research model analyzed 2,081 national manufacturing enterprises that responded to the 2016 Korean Innovation Survey (STEPI). SPSS 25.0 was used to perform reliability, feasibility, and logistic regression analysis. The results are as follows. First, innovation activities have positive effects on enterprise product and process innovation performance. On the other hand, government support had the opposite results. Second, the collaboration of technology showed a positive effect on product innovation performance, independent of innovation acceleration and hindrance factors. Third, innovation activities showed a positive effect on process innovation performance, regardless of the innovation acceleration and hindrance factors. Unlike prior studies limited to technological innovation, this study analyzed the attitudes of enterprises toward innovation acceleration and hindrance factors. This study is expected to contribute to establishing a strategy for reducing the failure and risk of innovation due to its findings on how innovation performance varies by groups.
Sejong City, which has been chosen as a new administrative capital of South Korea, has completed the first phase of its development plan with the construction of the facilities needed to accommodate central administrative organizations and the required accompanying population. Now, it is undergoing the second phase of development with a focus on strengthening the region's innovation capacity to catalyze endogenous development. The strategy for phase II is to establish a regional innovation system including building necessary infrastructure and attracting innovation agents such as universities, businesses, and research institutes. The first step for this is developing a research complex, tentatively named Tech Valley, that includes universities, research institutes, and businesses, and building infrastructure comprising a science complex, a knowledge industry center, and support facilities. Phase II of the city's development initiative includes the establishment of a joint university campus, which is to serve as a center to promote cooperation among industry actors, universities, and research institutes. The concept of a joint campus has been drawn from a need to enhance capacity for innovation and specialization in the region's industries and to maximize synergy among participating universities through the sharing of research equipment, facilities, and programs. The joint campus is expected to play a key role in creating an innovation system in the region by enhancing research capacity for strategic industries, cultivating highly skilled human resources, and leading industry-academia-research cooperation. In order to ensure the sustainable development of the new city, there is a growing need to have a main player in place that could lead the region's economic development. The joint campus will propel industrial specialization and serve as a catalyst to attract competent universities to the region. This paper will examine the concept, major functions, and the establishment and operation of the joint campus.
This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.
Journal of the military operations research society of Korea
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v.29
no.1
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pp.76-87
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2003
This paper proposes that we need a simpler method for developing the Website strategy for public institutions. The research objectives are threefold: (1) A model that relates to the monitoring of Website strategy in the public sector is proposed. The model includes basic dimensions and a $2{\times}3$ matrix that is a simplified version of the Mohammed et dl.s Marketspace Matrix. (2) The model is tested empirically with a sample of 56 Websites selected from govemment agencies, military organizations and police stations in Korea. (3) The effect of dimension/factors on the innovation level is tested. A special attention is paid to online attracting that is important for public institutions which usually do not use offline advertising aggressively. Results from regression analyses show that main dimensions (Marketing Drivers and relationship Stages) and three factors (Basic Information, Support Information, and Participation) in the matrix are all significantly influential on the innovation level, but the Attracting is not. Colorful designs and attracting features of a homepage have not necessarily anything to do with innovation. This message can offer a good piece of advice for managers of Websites.
Governments are asking policymakers to quantify the economic and social impact of those advanced technologies they support, including nanotechnology. National policymakers and researchers who participated in OECD activities cooperated to develop a model for the economic impact assessment of nanotechnology with a relevant case study. The present research contributing to some recommendations from the OECD WPN (Working Party on Nanotechnology) finds a successful example of market creation by nanotechnology, and assesses the resulting economic impact of the DEFRA (Department of Environment, Food & Rural Affairs of UK) model. This study investigates the economic impact of Quantum-dot (Qdot) nanotechnology on flat panel TV manufacturers, which is an ideal case to apply the DEFRA model for the analysis of product innovation based on nanotechnology. Findings show that Qdot nanotechnology is expected to create an economic value of $3.32 billion for Korean TV manufacturers over the next decade.
Journal of Wellbeing Management and Applied Psychology
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v.7
no.4
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pp.75-89
/
2024
The purpose of this study was to investigate the impact of coaching leadership on ESG management performance through employee innovation behavior in the context of SMEs. Amid the lack of ESG-related research on SMEs, this study is significant in that it empirically verified that coaching leadership can contribute to the improvement of ESG performance of SMEs by inducing innovative behavior of employees. For the study, a survey was conducted on 244 employees of domestic SMEs. As a result of the study, it was found that coaching leadership partially had a positive (+) effect on ESG performance. Specifically, direction suggestion and competency development had a positive effect on the environment, social responsibility, and governance structure of ESG performance, but the relationship with performance evaluation did not have a significant effect. In addition, the direction of coaching leadership and competency development had a positive effect on innovation behavior, but performance evaluation was not significant. Innovative behavior had a significant positive (+) effect on all aspects of ESG performance (environment, social responsibility, and governance), and showed a significant mediating effect in the relationship between coaching leadership and ESG performance. This suggests that innovative behavior plays an important role in mediating the relationship between the sub-factors of coaching leadership and ESG performance. The theoretical significance of this study is to support the innovation behavior of members through coaching leadership in the SME field and to identify a path to increase ESG performance as a result. In addition, most previous studies on the relationship between ESG and innovation behavior have shown that innovation behavior is promoted by the influence of ESG, but this study confirmed that innovation behavior of SME members is an important factor in improving ESG performance. These results provided practical and policy implications for promoting ESG performance by leading the use of coaching leadership and innovation behavior in the SME field.
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