• 한국의류학회지
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• 제31권4호
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• pp.519-530
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• 2007

This study is an exploratory research on the brand architecture of Korean apparel enterprises and the differentiation strategy among in-house competing brands. For data analysis, secondary data was used. 20 apparel enterprises were used as the subjects. The results are as following. First, as a result of brand architecture composition, apparel enterprises used the strategy that initially paved the way launching several brands in a specific item category and after that diversified to other categories. Most enterprises used the multi-brand strategy operating plural brands in a same zoning. The terms for launching succeeding brands were about $1{\sim}5$ years. Second, as a result of analysing the cases which several brands competes within a same zoning, all the posterior brands had some differences from the prior ones. The most frequent differentiation factor was price. Concept, target age, and distribution channel followed. The order of the factors was somewhat different among the item categories. The differentiation strategy among in-house competing brands meant that the enterprises manage plural brands in a same zoning for the growth of whole market share instead of the direct competition among in-house brands. The results of this study can suggest a growth direction to the enterprises planning to launch new brands.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.473-491
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• 2014

There is a growing interest for 'Cloud computing' to cut costs, and help the users focus on their core business instead of being impeded by IT obstacles. As it became IT version 3.0 which represents the era of cloud services and the dominance of a new kind of IT service provider, cloud service providers (CSPs)' role is more critical as a trusted IT advisor to include cloud migration and integration expertise. However, previous literatures related to cloud computing service have mainly analyzed from customers, although it is hard for customers to totally understand the complex and diverse cloud ecosystem. Therefore, it is an urgent task to mitigate the inhibitory factors in providing the cloud services for activating cloud industry. This study, an exploratory research based on interviews, has derived factors of promoting and hindering the activation of cloud computing from the provider's perspective, and has analyzed a sequence of cause and effect for each factor. For this, the casual loop diagram was developed to deduce key issues, and propose an alternative. The results of this study are expected to help activate 'Cloud computing' in Korea by minimizing the potential negative effects of activating 'Cloud computing' industry.

• 보건행정학회지
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• 제25권3호
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• pp.207-220
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• 2015

Background: The purpose of this exploratory study is to explain where, when and how the introduction of user fee system works in low and middle income countries using context, mechanism, and outcome configuration. Methods: Considering advanced research in realist review approach, we made a review process including those following 4 steps. They are identifying the review question, initial theory and mechanism, searching and selecting primary studies, and extracting, analyzing, and synthesizing relevant data. Results: User fee had a detrimental effect on medical utilization in low and middle income countries. Also previous and current interventions and community participation were critical context in user fee system. Those contexts were associated with intervention initiation and recognition and coping strategies. Such contexts and mechanisms were critical explanatory factors in medical utilization. Conclusion: User fee is a series of interventions that are fragile and dynamic. So the introduction of user fee system needs a comprehensive understanding of previous and new intervention, policy infrastructure, and other factors that can influence on medical utilization.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.189-199
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• 2021

This study aimed to explore the factors affecting the innovation capacity of students at the National Economics University, Vietnam. Researchers used the innovation capacity model based on six factors, including personality traits, future orientation, creative skills, social interaction, content knowledge, and management skills. The empirical analysis used data from the survey of 303 students at National Economics University, Vietnam, with reliable tools (SPSS 26.0 software). The data were analyzed by testing the reliability of the scales, correlation analysis, and Pearson' Linear Correlation Coefficient, exploratory factor analysis, as well as regression model based on the survey data. The research results identified the following factors affecting innovation capacity of students: management skills, social interaction, and personality traits have the strongest impact on innovation capacity of students; content knowledge has the following strongest effects on innovation capacity of students; and finally the creative skills that affects on innovation capacity of students. There is also a positive relationship between all the factors and innovation capacity of students. The result can serve as useful reference sources for scholars who are interested in the innovation field. It also helps university's managers and policymakers build the appropriate environment to improve innovation capacity of students.

• 기본간호학회지
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• 제26권1호
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• pp.12-22
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• 2019

Purpose: This study was done to verify the self-directed learning instrument (SDLI) developed to measure self-directed learning ability in nursing students. Methods: The participants for the study were 425 nursing college students. Their self-directed learning was verified using self-reports and results through questionnaires. SDLI was translated into Korean through translation/reverse translation process and its content validity verified by five experts. The validity of the instrument was verified through item analysis, exploratory factor analysis, and confirmatory factor analysis. Reliability verification was analyzed using internal consistency reliability. Results: Four factors were identified through exploratory factor analysis and 20 items of the original instrument were found to be valid. In the confirmatory factor analysis, the validity of the instrument was verified as the model was valid. The internal consistency reliability was also acceptable and SDLI was found to be an applicable instrument. Conclusion: SDLI has been developed and verified by selecting nursing students as participants for the study. Use if SDLI is expected to improve the quality of self-directed learning in nursing education and to be used in future nursing research.

• 산업융합연구
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• 제14권1호
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• pp.15-25
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• 2016

A technopark is an industrial and technological complex where personal, material and technological resources, scattered to businesses, academic institutions, research facilities and governments are gathered into a single place. Technopark's role is facets. The aim of this study is to offer new policy services for firms by utilizing the exploratory methodology for Chungnam Technopark's performance for three year (2011 ~2013). Through the findings, this study suggests that policy support for firm's growth in Chung Nam Region have been effective and fruitful in terms of total sale and increase of employees. But, technological performance measured by patents has not enough to catch the innovation. Chungnam Technopark should be more focused on technological policy supports including R&D as well as commercialization. Ultimately in order to have sustainabilities for own firm's growth, firms should keep going on ceaseless create the new technological performance. In that sense, for regional specific industry Technopark's role has been critical for not only firm's current growth but firm's innovation competency.

• 지역사회간호학회지
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• 제32권1호
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• pp.12-23
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• 2021

Purpose: This study explored how and why young and middle-aged adults disclose depressive feelings to others. In particular, we investigated the role of social norms to see whether using mobile instant messaging (MIM) could lower the perceived barriers of emotional disclosure. Furthermore, the motivations of emotional disclosure via MIM were compared between young and middle-aged adults. Methods: A total of 255 Koreans (128 middle-aged people, 127 young adults) participated in an online survey. Pearson's correlation coefficients, paired t-tests, SPSS PROCESS macro, and exploratory factor analysis were used to examine the relationships among the key variables. Results: The perceived social norms were found to be a significant deterrent in disclosing depressive feelings to others. However, there was a significant interaction effect between generations and perceived social norms. Although young adults with low social norm awareness were more likely to disclose depressive feelings via MIM, emotional disclosure among middle-aged adults increased with higher levels of perceived social norms. Also, different motivations were observed. Conclusion: The results confirmed the significant effect of social norms as well as generational differences when using MIM as a channel of emotional disclosure.

• Journal of Trauma and Injury
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• 제34권4호
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• pp.284-287
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• 2021

We report a case of delayed chest wall reconstruction after thoracotomy. A 53-yearold female, a victim of a motor vehicle accident, presented with bilateral multiple rib fractures with flail motion and multiple extrathoracic injuries. Whole-body computed tomography revealed multiple fractures of the bilateral ribs, clavicle, and scapula, and bilateral hemopneumothorax with severe lung contusions. Active hemorrhage was also found in the anterior pelvis, which was treated by angioembolization. The patient was transferred to the surgical intensive care unit for follow-up. We planned to perform surgical stabilization of rib fractures (SSRF) because her lung condition did not seem favorable for general anesthesia. Within a few hours, however, massive hemorrhage (presumably due to coagulopathy) drained through the thoracic drainage catheter. We performed an exploratory thoracotomy in the operating room. We initially planned to perform exploratory thoracotomy and "on the way out" SSRF. In the operating room, the hemorrhage was controlled; however, her condition deteriorated and SSRF could not be completed. SSRF was completed after about a month owing to other medical conditions, and the patient was weaned successfully.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.313-320
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• 2023

In general, using information and communication technology (ICT) to support problem-solving is becoming increasingly common across various industries, sectors, and regions. However, there have been few analyses on the factors affecting ICT problem-solving among officers working at People's Committees of mountainous communes. Using survey data, exploratory factor analysis (EFA), and multivariable linear regression, this study examined the factors that influence the use of ICT in resolving works among community officers at People's Committees in the Northwest mountainous region of Vietnam. The results showed that three factors with statistical significance affecting the dependent variable are computer skills, gender, and occupation of community officers. Therefore, it is recommended that officers participate in ICT training courses or engage in regular self-study to improve their computer skills and qualifications. Both men and women should also prioritize the use of ICT equipment. The study also found that officers in managerial positions were more likely to use ICT for problem-solving than their counterparts. However, some factors that affect the use of ICT were not identified in this study, leaving room for further research.

• 한국IT서비스학회지
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• 제22권4호
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• pp.123-140
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• 2023

In recent times, the global economy has been subject to increasing volatility, which has made it considerably more difficult to accurately predict economic indicators compared to previous periods. In response to this challenge, the present study conducts an exploratory investigation that aims to predict the Business Survey Index (BSI) by leveraging data mining techniques on both structured and unstructured data sources. For the structured data, we have collected information regarding foreign, domestic, and industrial conditions, while the unstructured data consists of content extracted from newspaper articles. By employing an extensive set of 44 distinct data mining techniques, our research strives to enhance the BSI prediction accuracy and provide valuable insights. The results of our analysis demonstrate that the highest predictive power was attained when using data exclusively from the t-1 period. Interestingly, this suggests that previous timeframes play a vital role in forecasting the BSI effectively. The findings of this study hold significant implications for economic decision-makers, as they will not only facilitate better-informed decisions but also serve as a robust foundation for predicting a wide range of other economic indicators. By improving the prediction of crucial economic metrics, this study ultimately aims to contribute to the overall efficacy of economic policy-making and decision processes.