• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.209-226
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• 2023

Cross-border e-commerce has emerged as a crucial force in stabilizing China's foreign trade, driving the transformation and upgrade of China's foreign trade, and contributing to global economic development and stability. As a result, promoting the high-quality development of cross-border e-commerce has become a common challenge within the Chinese industry. However, with the rapid growth of cross-border e-commerce, it faces new phenomena and challenges, such as a mix of quality, fierce competition, and price competition. Brands serve as distinguishing markers for identifying entities, and brand building is a prudent choice for achieving high-quality development in cross-border e-commerce. This article utilizes brand theory, employing a combined qualitative and quantitative approach, with a specific focus on key elements within the operations of cross-border e-commerce enterprises. Through an analysis of the key elements influencing the formation and development of brands within the internal operations of Chinese cross-border e-commerce enterprises, it investigates their internal formation mechanisms and assesses the significance of these critical factors in influencing brand formation. The research process is based on data from overseas consumers, conducting empirical analysis, ultimately providing certain guidance for brand development in cross-border e-commerce enterprises.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.211-221
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• 2024

Live streaming commerce has emerged as an innovative e-commerce model. This study, based on the Elaboration Likelihood Model (ELM), aims to explore the impact of Key Opinion Consumers' (KOCs) attributes in live streaming commerce on purchase intentions on short video platforms. A survey was conducted with 411 consumers, and data analysis and hypothesis testing were performed using SPSS 24.0 and AMOS 23.0 software. Research has found that differences in consumers' information processing abilities lead to different pathway selections. Central route factors such as recommendation consistency, product involvement, and professionalism, as well as peripheral route factors such as recommendation timeliness, all have significant positive effects on consumers' purchase intention. However, visual cues in the peripheral route do not have a significant impact. This study aims to provide theoretical support and practical guidance for the development of the live streaming commerce industry, and to help companies adjust their promotion strategies based on differences in consumer information processing, thereby improving purchase conversion rates.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.153-168
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• 2024

The purpose of this study was to verify the correlation between variables that affect the intention to continue using medical information service applications. Then, we established a research model based on ETPB and conducted an empirical study using PLS-SEM.According to the empirical analysis results, First, intimacy, prior knowledge, and cost saving were confirmed to have a significant impact on the TPB variables such as attitude, subjective norm, and perceived behavioral control. Second, it was confirmed that TPB variables had a significant impact on behavioral intention, and behavioral intention had a significant impact on continued use intention. Third, it was confirmed that familiarity, prior knowledge, and cost saving had a significant impact on the intention to continue use through the mediation of behavioral intention based on the perception shift of medical consumers. The significance of this study is that it empirically investigated the behavior of medical consumers by deriving the impact on their intention to continue using medical information service applications through their behavioral intentions.

• Design & Manufacturing
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• v.17 no.4
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• pp.1-7
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• 2023

In the fabrication of curved multi-display glass for automotive use, the surface roughness of the mold is a critical quality factor. However, the difficulty in detecting micro-cutting signals in a micro-machining environment and the absence of a standardized model for predicting micro-cutting forces make it challenging to intuitively infer the correlation between cutting variables and actual surface roughness under machining conditions. Consequently, current practices heavily rely on machining condition optimization through the utilization of cutting models and experimental research for force prediction. To overcome these limitations, this study employs a surface roughness prediction formula instead of a cutting force prediction model and converts the surface roughness prediction formula into experimental data. Additionally, to account for changes in surface roughness during machining runtime, the theory of position variables has been introduced. By leveraging artificial neural network technology, the accuracy of the surface roughness prediction formula model has improved by 98%. Through the application of artificial neural network technology, the surface roughness prediction formula model, with enhanced accuracy, is anticipated to reliably perform the derivation of optimal machining conditions and the prediction of surface roughness in various machining environments at the analytical stage.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.4
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• pp.133-140
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• 2008

The design method of the reinforced concrete structures is converting from the current limit state design method to the reliability based design method and active studies have been done in the US, Europe, and Japan etc. Performance based design method is considering lots of uncertainty of current design provision rationally and make sure that structure have a reliable reliability and safety. The main area of these studies is to secure the non-linear analysis technology with high reliability. The data for reinforced concrete columns tested by many researchers are used to verify the applicability of the nonlinear finite element analysis program (RCAHEST, Reinforced Concrete Analysis in Higher Evaluation System Technology). A comparison is made between analysis and test, calculated safety factor based on reliability theories to applies to analysis result.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.145-157
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• 2024

This study empirically analyzed the relationship between founder competency and business performance based on the premise that founder competency is the main internal resource of a company from a resource-based view, using a sample of 2,196 startups less than five years old collected and evaluated by the Korea Technology Finance Corporation during the 2016 technology evaluation. The results showed that the technological, managerial, and financial competence of founders had a positive effect on the business performance of startups, and the characteristics of founders' academic major had a moderating effect on the relationship between founder competency and business performance. Based on these findings, this study contributes to the theoretical discussion that technological, managerial, and financial competencies of founders are factors that improve business performance, and provides practical and policy implications for effective entrepreneurship education by suggesting that entrepreneurship education should be transformed and strengthened, including cross-training of founders majoring in science and engineering to foster managerial and financial competencies.

• The Journal of Bigdata
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• v.8 no.2
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• pp.55-71
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• 2023

Cloud Native refers to the Technical Maturity Level of a cloud environment that can utilize all cloud resources to fully function. In converting public sector information resources to the cloud, the characteristics of the cloud are not being used well. Therefore, in this study, the qualitative research method cloud expert interview technique and the quantitative research method used text network analysis for domestic and foreign related articles. Through this, we analyzed the utilization trends related to domestic and foreign cloud natives and the cloud policies of developed countries. Through previous research, the core components of cloud-native were examined, and the need for agile methodologies that were not addressed in previous studies was raised. It is believed that these core components will be applied in the public sector to contribute to business innovation through digital innovation. In addition, this study aims to provide important implications for the use of cloud native in Korea through an in-depth discussion on how to spread cloud native in the public sector.

• Journal of Legislation Research
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• no.41
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• pp.367-399
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• 2011

This Article examines the regulation of outsider trading under the Financial Investment Services and Capital Markets Act (the "Capital Markets Act"). Outsider trading occurs when a market participant who is not a traditional corporate insider trades securities based on either "inside" or "outside" nonpublic information. Unlike "inside" information, "outside" information is referred to as information not derived directly or indirectly from the issuer. "Outside" information includes both "corporate" and "market" information. "Corporate information" is information about events or circumstances which affect the company's assets or earning power. "Outside corporate information" is information about the company's assets or earning power not derived directly or indirectly from the issuer. "Market information" is information about events or circumstances which affect the market for a company's securities but which do not affect the company's assets or earning power. The Capital Markets Act prohibits both "temporary insiders" from using "corporate" information in trading securities and "outsiders" from using "market" information, such as (i) information regarding the initiation or discontinuance of a tender offer; or (ii) information regarding acquisition or disposition of stocks in bulk. However, the Act does not encompass circumstances (i) where an outsider trades securities based on confidential corporate information obtained through certain types of wrongful conduct; (ii) where an outsider trades securities based on corporate information obtained through eavesdropping; and (iii) where an outsider trades securities based on either outside corporate information or market information created by the outsider himself. In order to plug a few of the gaps left open in the law of outsider trading under the Capital Markets Act, this Article suggests that regulators adopt a relatively broad reading of the scope of ${\S}$ 178(1) of the Act, which is similar to SEC Rule 10b-5, to include outsiders with no relationship to the corporation that had issued the securities. Since ${\S}$ 178(1) of the Act does not require "deception" for liability, it would seem to evade the limitations imposed by the U.S. misappropriation theory. Key Words : Outsider Trading, Insider Trading, Material Nonpublic Information, the Capital Markets Act, Misappropriation Theory, Fiduciary Theory.

• Korea journal of population studies
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• v.19 no.2
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• pp.139-173
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• 1996

This study is an attempt to identify factors affecting korean immigrants concentration in small business enterprises in the middleman minority sector including the priphery and core sectors, with the private wage and self-employed worker examined in each sector, employing the 5 percent public use sample from the 1980 United States census. One out of five koreans aged 25∼64 years is engaged in self-employed small businesses, while the majority of koreans (4 out of 5) are in the private wage sector. In contrast to expectations, English language difficulties and inferior education are not the prime factors affecting self-employment small businesses. The korean self-employed small business owners both in the periphery sector and in the core sector showed the 'middle' strata of their position in the social structure in terms of their industry, occupation, earnings, etc.

• Korean Journal of Family Social Work
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• no.58
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• pp.5-36
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• 2017

This study aims to empirically analyze whether the women's cognitive attitude toward gender role, which is formed through social norms, enforces the gender division of housework. In this study, 4,435 married women aged 18-59 years from the 5th wave dataset of Korean Longutudinal Survey of Women and Family Data were selected for analysis. Using the Structural Equation Model(SEM), we examine the direct effect of "attitude toward behavior" and "subjective norm" on the domestic working hours and whether those two independent variables, such as "attitude toward behavior" and "subjective norm," influence the mediator variable "Behavior Intention" which in turn affect the dependent variable. The study reveals that "attitude toward the gender division of housework" has a statistically significant direct effect on the domestic working hours as well as an indirect effect operating through "behavior intention." And"subjective norm "has only a statistically significant indirect effect on the domestic working hours, operating through "behavior intention." Despite the fact that many women are now aware that various work-life balance policies are avaliable to mitigate the gender inequality of domestic works, it is proven that the gender division of housework becomes worse. The reason behind this is not only because there exist some problems in implementing the institutions themselves, but also because women's deeply internalized self-perception of gender role based on the traditional patriarchal culture somehow exacerbates the gender division of housework. Hence, in order to instill a progressive change in gender division of housework, it is important for women to try to change the way they perceive the stereotypical gender roles as well as for men to treat women equally.