• Korea Trade Review
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• v.46 no.2
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• pp.19-38
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• 2021

This study aims to analyze the foreign asset leverage effect on Korean oil & gas companies' foreign profits and to maintain the appropriate foreign asset volume for reducing exchange risk. For a long time, large Korean companies, including oil companies, overheld foreign currency liabilities. For this reason, most large companies have been burdened to hedge exchange risk and this excess limit holding deteriorated total profit and reduced foreign currency asset management efficiency. Our paper proceeds in presenting a three-stage analysis considering diversified exchange risk factors through estimation on transformation of foreign transactions a/c including annual trends of foreign asset and industry specifics. We also supplement incomplete the estimation method through a practical hedging case investigation. Our research parts are differentiated on the analyzing four periods considering period-specifics The FER value of the oil firms ranged from -0.3 to +2.3 over the entire period. The results of the FER Value are volatile and irregular; those results do not represent the industry standard comparative index. The Korean oil firms are over the credit limit without accurate prediction and finance high interest rate funds from foreign-owned banks on the basis on a biased relationship. Since the IMF crisis, liabilities of global firms have decreased. Above all, oil firms need to finance a minimum limit without opportunity losses on the demand forecast and prepare for uncertainty in the market. To reduce exchange risk from the over-the-limit position, we must consider factors that affect the corporate exchange risk on the entire business process, including the contract phase.

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.63-84
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• 2023

Purpose - The purpose of this study is to examine the effect of CSR activities on innovation performance and to identify the mediating role of knowledge sharing and innovation behaviors between CSR activities and innovation performance. In addition, the purpose of this study is to verify the role of sequential mediating effect of knowledge sharing and innovation behavior between CSR activities and innovation performance. Design/methodology/approach - This study collected survey data from 293 organizational members working in Chinese companies. The exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis, correlation analysis and process macro were used in order to analyze the data. Findings - First, this study verified that CSR activities had a significant positive effect on knowledge sharing, innovation behavior, and innovation performance. Second, it was found that knowledge sharing had a significant positive effect on innovation behavior and innovation performance. Third, it was verified that innovation behavior had a significant positive effect on innovation performance. Fourth, knowledge sharing and innovation behavior had a sequential mediating effect in the relationship between CSR activities and innovation performance. Research implications or Originality - With the uncertainty of the environment and the intensification of competition among companies, more and more companies begin to pay attention to innovation. Different from existing studies, this study focuses on CSR activities, identifies the role of CSR activities, explores ways to guide innovation performance, and verifies the sequential mediating role of knowledge sharing and innovation behavior. Through this measure, the importance of knowledge sharing and innovative behavior among organizational members is emphasized, solutions to strengthen innovation are explored, and theoretical and practical implications are provided for companies.

• Informatization Policy
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• v.30 no.3
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• pp.29-48
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• 2023

This study aims to investigate empirically the structural relationships among the components of data governance and their impacts on data integration and data-based administration. Through literature review, various definitions, typologies, and case studies of data governance were examined, with the definition of data governance from a public policy perspective developed and applied. The study then analyzed the data from a survey conducted by the Korea Institute of Public Administration on the use of public data policies and confirmed that organizational factors play a mediating role between institutional and technical factors, and that institutional and technical factors have statistically significant positive relationships with data fusion and data-driven administration. Based on these results, interest and investment in the improvement and development of the legal system in data governance from the institutional, technical, and organizational perspective, clarification of means and purposes of data technology, interest in data organizations and human resources, and practical operation can be achieved. Policy implications such as the development of an effective mechanism were presented.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.57-66
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• 2023

This study aims to examine how subjective class perception of children from single-parent families affects suicidal thoughts and to verify the mediated effects of depression and subjective health perception. To this end, the analysis data used the 2020 Korean Children and Youth Human Rights Survey conducted by the Korea Youth Policy Institute, and 618 children from single-parent families who responded to the survey were selected and analyzed as study subjects. As a result of the analysis, first, it was found that the higher the subjective class perception, the lower the suicidal impulse. Second, depression was found to be completely mediated in the relationship between subjective class perception and suicide impulse. Third, subjective health awareness was found to be completely mediated in the relationship between subjective class perception and suicidal thoughts. Based on these research results, we proposed policy and practical measures to reduce suicidal impulses according to the subjective class perception of children of single-parent families.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.25-35
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• 2023

The purpose of this study was to investigate the influences of high school students' sexual media literacy awareness and sexual attitude on their gender sensitivity. The subjects of this study were 120 high school students in the city of D, all of who voluntarily agreed to participate in the study. Data were collected from November 28 to December 15, 2022. and analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and hierarchical regression analysis methods using the SPSS 22.0 program. As a result of the study, the influential factors of gender sensitivity were sexual attitude (β=-.317, p<.001), education level of father (β=.305, p<.001), gender (β=.262, p=.001), source of sexual knowledge (β=-.252, p=.001) and awareness of sexual media literacy (β=-.143, p=.045). This study is significant in that it presents academical, practical, and policy recommendation to increase gender sensitivity, which is considered an essential competency in a future society where diversity is emphasized.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.1-10
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• 2023

Along with the government's policy to encourage youth entrepreneurship, each university is making great efforts to promote entrepreneurship, and university entrepreneurship programs can be said to be the most important part of supporting and activating college students' entrepreneurship. In order to increase interest in and participation in entrepreneurship and entrepreneurship programs, it is necessary to take an in-depth look at students' perceptions of entrepreneurship and entrepreneurship programs. Therefore, this study used the effectiveness hierarchy model to explore the perceptions of college students at each stage and to identify bottleneck factors that hinder participation in entrepreneurship programs. For this purpose, focus group interviews and in-depth interviews were conducted using samples with different levels of interest and participation in entrepreneurship and entrepreneurship programs, and bottleneck factors at each stage of the effect hierarchy model were presented. The research results complement entrepreneurship research that was focused on quantitative research, and add important practical implications by approaching the study with a particular focus on local university cases.

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.85-96
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• 2024

This study attempted to examine the research trends of single-person households with disabilities using a systematic literature review research method. To this end, 2,161 papers published by September 30, 2023 were searched in a total of four databases: KCI, RISS, KISS, and e-Articl, combining related search terms such as single-person households with disabilities, single-person households and disabled person living alone. In five stages, irrelevant literature to single-person households with disabilities was excluded, and the final 13 documents were selected and analyzed. As a result of the study, first, research topics were classified into research topics for single-person households, analysis of the actual conditions and related factors, issues and support measures related to single-person households, and three case studies related to single-person households. Second, women, age, income, interpersonal skills, health, unemployment, and family support are lower in single-person households with disabilities. Accordingly, based on the research results, suggestions for follow-up studies and practical and policy implications for social welfare were presented.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.167-177
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• 2024

In nursing education, there has been efforts for enhancing the quality, with a growing interest in the utilization of digital technologies. In clinical training of nursing curriculum, the emphasis on digital technology is pronounced, as it has the potential to offer learners effective and accessible educational experience while enabling the integrated management of individualized learning outcomes. This study developed a digital nursing education platform, allowing educators and learners to select functionalities based on the educational content and characteristics of the learning tools. Additionally, the user interface was designed to facilitate learners' accurate understanding and execution of assigned tasks and objectives. The detailed design and implementation process of the platform are elaborated and then the validation of its usefulness was provided based on feedback from ten educators who are responsible for diverse subjects. The high usability of the digital nursing practicum education platform was confirmed, with potential implications for significant improvements in learner performance. The potential of this digital platform is to lead to innovative shifts in educational methodologies within the field of integrative nursing education.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.227-239
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• 2024

This study aims to analyze the impact of vocational training received by learning workers through the degree-linked work-study program on their learning outcomes. Specifically, we explore the causal relationship between various factors considered during university degree program admission and selection, and the average GPA (Grade Point Average) after admission. To achieve this, we conducted regression analysis and variance analysis using historical admission data and GPA records of 976 students from three undergraduate programs at a domestic K university that implements the degree-linked work-study model. Additionally, we included company information from publicly available databases that could potentially influence the academic performance of learning workers. Our analysis revealed significant causal relationships across various factors, including the classification of the high school attended, gender, family background, subject-specific grades in high school, duration of employment at the company, and age at the time of admission. Based on these findings, we anticipate that universities operating similar degree programs can enhance their selection procedures for learning workers. Furthermore, the results of this study can serve as foundational data for future policy recommendations related to degree-linked work-study programs.