• Journal of the Economic Geographical Society of Korea
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• v.22 no.2
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• pp.178-195
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• 2019

In this study, we examine business start-up and closing business in a geographical context. In particular, we analyze the geographical characteristics of business start-up and closing business according to the type of industry. For the purpose, we use the last 10 years data that have been related with current economic situation since the financial crisis. In first, we identify the spatial distribution patterns of business start-up and closing business, We examine the difference between individual businesses and corporations. Finally, we construct general linear regression models and spatial regression models for them, and derive meaningful socioeconomic variables that explain their location distribution. The results of this study could provide basic data for regional planning of national and local governments that activate local economies as well as job creation.

• The Korean Journal of Franchise Management
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• v.11 no.4
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• pp.31-44
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• 2020

Purpose: The purpose of this study is to examine the effects of CEO's self-determination on entrepreneurship, business performance (operational and financial performance). Also, this research provide some strategic insights for improving business performance. In the proposed model, self-determination consists of autonomy, competence, and relatedness, and entrepreneurship consists of innovation, initiative and risk sensitivity, and proactiveness. More specifically, this study proposes a framework that entrepreneurship and operational performance will play mediating roles between self-determination and financial performance. Research design, data, methodology: In this study, an online survey was conducted on SME CEOs for analysis, and a total of 122 samples were used. In the analysis process for hypothesis verification and evaluation, frequency analysis was first performed to identify the demographic characteristics of the respondents, and confirmatory factor analysis was conducted to assess the reliability and validity of the measurement model. In addition, a structural model analysis was conducted to examine the structural relationships between CEO's self-determination, entrepreneurship, and business performance (operational and financial performance) using SmartPLS 3.0. Results: The findings and summary are as follows. First, the autonomy of self-determination has a positive effect on entrepreneurship. Second, the competence of self-determination affects entrepreneurship and operational performance. Third, it affects the innovation, initiative and risk sensitivity of the CEO's entrepreneurship, and ultimately, its operational performance. The results show that the business performance of Start-up also increases when self-determination can be a factor in increasing entrepreneurship in three sub-dimensionalities. Conclusions: The conclusion of this study is that in order for SMEs to develop into a sustainable company by securing competitiveness after start-up, external motivation such as external help and support from the state (local government) is important, but competence and relationship, which are components of self-determination. The intrinsic motivation of the CEO may be more important. To this end, CEO's should prioritize learning for competency development, and the government should pay attention to providing various educational programs through establishment of education policies and education systems to enhance the competency of start-up CEO's.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.405-410
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• 2022

As the non-face-to-face economy is activated by digital innovation, the boundaries of the industry are blurred and new start-up opportunities are occurring due to convergence between industries. Therefore, this study aims to investigate the relationship between the founders' digital competence and innovation as an antecedents that affect the substanability of start-up companies. According to the analysis results, the digital competence of the founder has a significant positive (+) effect on the innovation of the founder, and the innovation of the founder has a significant positive (+) effect on the substanability of the entrepreneur. In addition, the innovation of founders has been verified to mediate the relationship between them, and this study is meaningful in that it examines the preceding factors affecting the substanability of start-up companies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.41-58
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• 2023

This study identifies the commercialization success factors that can be an important indicator for the transfer and commercialization of national R&D results in the agricultural sector. Unlike other industries, the agricultural sector has a non-systematically scaled and processed industrial structure, and R&D is led by government rather than the private sector. Although the quantitative performance of national agricultural R&D, especially the number of patents and publications, has increased rapidly with the quantitative expansion of the government R&D budget, the technology commercialization of the results of agricultural R&D has been accompanied by difficulties for SMEs. Therefore, this study summarized the success factors for commercialization of state-owned technologies presented in previous studies, and based on them, analysed the success factors for commercialization specific to the agricultural sector. It also conducted a questionnaire survey using Delphi and focus group interviews (FGI) with experts from academia, research and industry, and a survey of agricultural companies to derive success factors for commercialization in the agricultural sector using logistic regression analysis. As a result, five indicators with positive correlation and three indicators with negative correlation within technology characteristics, suppliers, adopters, policy and market factors were finally derived as key factors for agricultural commercialization. In the future, it is expected that independent factor analysis of the food and seed sectors, which have independent industry characteristics from the agricultural sector, will be needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.228-234
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• 2020

The number of collaboration professors has significantly increased since the last decade, along with rapid technological developments and the necessity of entrepreneurial universities. Despite the expansion of collaboration professor recruitment, few empirical studies have examined the contribution of collaboration professors to university-industry collaboration. In particular, we do not have sufficient knowledge about the role of collaboration professors in the start-ups of undergraduate students, which is one of major duties of these professors. Following previous studies, this study constructs panel data of 203 universities explaining the proportions of collaboration professors, activities of undergraduate students, support of universities for students preparing new firms, and attributes of universities from 2017 to 2019. The results indicate that the percentage of collaboration professors is not statistically related with the start-ups of undergraduate students, whereas that of full-time professors working at organizations specializing in start-ups is positively and significantly associated with the number of new firms of undergraduate students. In addition, the percentage of students who had attended the start-up camps and the availability of financial support from universities for students who attempt to create new firms positively influence the start-ups of undergraduate students.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.506-515
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• 2023

This study is to find a method to learn engine sound after the start-up of a diesel generator installed in nuclear power plant with an unsupervised deep learning algorithm (CNN autoencoder) and a new method to predict the failure of a diesel generator using it. In order to learn the sound of a diesel generator with a deep learning algorithm, sound data recorded before and after the start-up of two diesel generators was used. The sound data of 20 min and 2 h were cut into 7 s, and the split sound was converted into a spectrogram image. 1200 and 7200 spectrogram images were created from sound data of 20 min and 2 h, respectively. Using two different deep learning algorithms (CNN autoencoder and binary classification), it was investigated whether the diesel generator post-start sounds were learned as normal. It was possible to accurately determine the post-start sounds as normal and the pre-start sounds as abnormal. It was also confirmed that the deep learning algorithm could detect the virtual abnormal sounds created by mixing the unusual sounds with the post-start sounds. This study showed that the unsupervised anomaly detection algorithm has a good accuracy increased about 3% with comparing to the binary classification algorithm.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.281-289
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• 2021

This study aims to investigate the influence of the components of the startup ecosystem on the business performance of startups, focusing on the mediating effect of the location environment. By presenting the insight that the popularization of start-ups can be an alternative for job creation thanks to the government's start-up support policy considering the location environment, it is possible to construct an optimal configuration scenario between the components of the start-up ecosystem and the location environment. Furthermore, it is expected to contribute to the improvement of corporate management performance. To achieve this goal, we performed a survey and the subjects were domestic start-up company employees with less than 7 years of experience. The results show that the components of the start-up ecosystem had a significant effect on the business performance of start-up companies and the location environment and on the management performance of start-up companies according to the mediation of the location environment.

• Journal of the Korean Regional Science Association
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• v.37 no.2
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• pp.63-82
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• 2021

This study aims to explore how manufacturing start-up activities from 2000 to 2018 have changed spatially and to predict changes in distribution patterns of future start-up activities. For the analysis, the Census on Establishments microdata from 2000 to 2018 were used, and the manufacturing industry was classified into four detailed industrial groups according to the 40 manufacturing standards presented by the Korea Institute for Industrial Economics and Trade's ISTANS. According to the results, start-up activities in industries that require high technology levels are concentrated in southern Gyeonggi region, and other start-up activities are concentrated outside of the metropolitan area. When the distribution change from 2018 to 2036, extending the trend from 2000 to 2018, it was confirmed that there was a high possibility of a rise in the hierarchy in the future in regions adjacent to regions where start-up activities occur. This study aimed to provide implications for regional policies related to fostering start-ups and creating jobs by dynamically analyzing the location pattern of manufacturing start-ups, which is a major source of job creation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.183-190
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• 2023

This study is a study on the effect of university students' entrepreneurship education service quality on educational satisfaction and entrepreneurship intention. Although various entrepreneurship education is being operated at universities, there is not much research on entrepreneurial intentions. In this study, in order to analyze the factors for increasing the entrepreneurial intention, the effect of the service quality of entrepreneurship education on educational satisfaction and entrepreneurial intention was examined. In order to achieve the purpose of this study, questionnaires were distributed to university students in Daegu and Gyeongbuk, and statistical analysis of 298 questionnaires that were faithfully answered was conducted using SPSS 22. TA is a result of multiple regression analysis on the effect of start-up education service quality on educational satisfaction, tangibility, responsiveness, certainty, and empathy had a significant effect, but reliability did not have a significant effect, and educational satisfaction had a significant effect on entrepreneurship intention. Recently, start-up businesses in Korea have been revitalized, and various programs such as start-up education, start-up support policies, and commercialization support are emerging. Since the quality of educational service for start-up at universities affects the will to start a business, service quality capabilities should be strengthened to increase educational satisfaction.

• Journal of Communications and Networks
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• v.8 no.3
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• pp.351-359
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• 2006

In this article, we present a new slow-start variant, which improves the throughput of transmission control protocol (TCP) Vegas. We call this new mechanism Gallop-Vegas because it quickly ramps up to the available bandwidth and reduces the burstiness during the slow-start phase. TCP is known to send bursts of packets during its slow-start phase due to the fast window increase and the ACK-clock based transmission. This phenomenon causes TCP Vegas to change from slow-start phase to congestion-avoidance phase too early in the large bandwidth-delay product (BDP) links. Therefore, in Gallop-Vegas, we increase the congestion window size with a rate between exponential growth and linear growth during slow-start phase. Our analysis, simulation results, and measurements on the Internet show that Gallop-Vegas significantly improves the performance of a connection, especially during the slow-start phase. Furthermore, it is implementation feasible because only sending part needs to be modified.