• International Commerce and Information Review
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• v.16 no.3
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• pp.225-251
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• 2014

This study was intended to confirm a positive correlation between a understanding and utilization and performance results of the FTA in Gangwon-do. To this end, eighty-six companies(90% SMEs) which participate in both import and export were surveyed regarding their understanding and utilization of the FTA, and current performance was analyzed. The research results are as follows. First, we found a positive correlation between 1) a company's global orientation (as measured in export density as a percentage of profit) and 2) its competitiveness (as measured in annual sales), and a company's degree of utilization of FTA provisions. Second, we found that increased awareness of the provisions of Korea's FTAs was positively correlated with the degree to which companies were able to benefit financially from Korea's FTAs. Third, however, at the time of this study's completion, FTA utilization was not yet positively correlated with statistically significant performance results. Therefore, to increase the utilization and performance of FTA, the Korean government have to make a efficient business models for each industry and support the small and mid-size businesses including Gangwon province's SMEs.

• The Journal of Information Systems
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• v.25 no.2
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• pp.1-25
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• 2016

Purpose The innovation capability nowadays has become increasingly prominent in the universities not only for schools but also for teachers. However, due to less attention to the knowledge utilization and management, also some objective constraints, which caused the low level of the innovation capacity for our universities teachers under the current development in China. Meanwhile, transactive memory system (TMS) and knowledge sharing are important contents in knowledge management. The combination of both systems will contribute to a much more comprehensive understanding and performance of knowledge management. The purpose of this study is to investigate the structural relationships between TMS, knowledge sharing, and innovation capability among Chinese university teachers' teams, and to propose the practical implication to integrate effectively internal knowledge of the team to improve innovation capability. Design/methodology/approach In order to exam and verify the hypothesis proposed, we developed a questionnaire with 16 survey items, and each item comes with a five-point Likert-type scale. Hyperlink of online questionnaire was shared through WeChat. It's collected 201 responses from 14 universities in China, and the responders are teaching groups' leaders. And all together 191 responses were filtered out as the valid samples. And we analyze the data set and test research hypotheses by using SPSS 22.0 and AMOS 22.0. Findings All hypotheses are supported. The results reveal that knowledge sharing plays an important role in this study as the mediating role. TMS is positively associated with the innovation capability. And the knowledge sharing plays a significant role as mediating value between them, and influences the TMS's effect on innovation capability. It's thus cleared that if our teachers could well communicate, exchange and collaborate with other teachers in the same group, the innovation capability among the teachers would be improved effectively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.2
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• pp.287-304
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• 2020

There have been a number of legal & policy studies on the affecting factors of big data utilization, but empirical research on the composition factors of personal information regulation or data combination, which acts as a constraint, has been hardly done due to the lack of relevant statistics. Therefore, this study empirically explores the priority of personal information regulation factors and data combination factors that influence big data utilization through Delphi Analysis. As a result of Delphi analysis, personal information regulation factors include in order of the introduction of pseudonymous information, evidence clarity of personal information de-identification, clarity of data combination regulation, clarity of personal information definition, ease of personal information consent, integration of personal information supervisory authority, consistency among personal information protection acts, adequacy punishment intensity in case of violation of law, and proper penalty level when comparing EU GDPR. Next, data combination factors were examined in order of de-identification of data combination, standardization of combined data, responsibility of data combination, type of data combination institute, data combination experience, and technical value of data combination. These findings provide implications for which policy tasks should be prioritized when designing personal information regulations and data combination policies to utilize big data.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.11
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• pp.990-999
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• 2013

Previous studies based on the theoretical evidence and based on the empirical data have been constantly revealing related factors affecting visual fatigue in viewing 3D images. however, the measurement data coupled with the factors that affect the viewers to feel fatigue is insufficient. this study research that the viewers feel the visual functional data is based on subjective fatigue such as IPD, AC/A ratio, and the degree of phoria and the effects on variance in these data, is to examine the correlation between these data. based on the average score of subjective fatigue which is $6.00{\pm}3.88$, total fatigue points from 0 up to 6 is classified as a group not appealing for the fatigue and from 7 up to 16, they were classified as the fatigue appealing group. the results showed no difference in satisfaction of the images by each subjective fatigue, IPD and far phoria. AC/A ratio was higher from the fatigue not appealing group, near phoria was higher from the fatigue appealing group. after watching 3D images, the fatigue not appealing group showed a tendency of higher increase of exophoria. correlations appeared in this experiment showed that AC/A ratio and near phoria are closely related to level of subjective fatigue which feel when watching 3D images. when watching 3D images based on two data appear to be able to predict the fatigue, even during content production fatigue reduce the data dimensions to be used as the main basis is expected.

• Industry Promotion Research
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• v.5 no.1
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• pp.99-106
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• 2020

The purpose of this study was to analyze the effects of name attractiveness on self-efficacy and emotional awareness in adult men and women. The subjects of this study were 300 males and females in their 10s and 30s living in the metropolitan area. However, 250 copies, excluding missing questionnaires during the collection process and incomplete questionnaires, were used for the analysis. As a result of analyzing the difference in name attractiveness according to factors, the lower the age group and the lower the academic level, the more dissatisfied they were with their names. Besides, the regression analysis conducted to verify the effect of name attractiveness on self-efficacy showed that the model's fitness was R²=.382 and the model's explanatory power was somewhat inferior, but β=.322, t-value 9.276, p<.001 were shown to be statistically significant, so name attraction directly affects self-efficacy. And the results of the regression analysis conducted to verify the effect of name attractiveness on emotionality turned out to be R²=.412. The regression analysis, which controls demographic variables such as gender, age, and academic level, was statistically significant as β=.326, t-value 6.408, p<.001. In other words, the name attractiveness affects emotional awareness. There is no empirical study that the name attractiveness can improve happiness or the quality of life, but it seems often among athletes that names are enhanced by the past.

• Journal of the Korean earth science society
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• v.26 no.7
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• pp.630-639
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• 2005

The purpose of this study was to investigate the classifying ability of the igneous rocks with the naked eye for 36 preservice science teachers. For this, we selected six specimens of igneous rocks that consisted of rhyolite, andesite, basalt, granite, diorite, and gabbro, and performed the questionnaire with them. Preservice science teachers needed the average of 3 tools to classify the rocks. Most of the selected tools were loupe, streak plate, hammer and Mohs’ hardness scale. Many preservice science teachers selected basalt and granite samples to classify igneous rocks among 6 kinds of the rocks which were exhibited. However, the results of the identification with the naked eye showed that the right answer rate was significantly different based on what rock sample had been selected. Nobody gave the right answer among 10 students who chose the rhyolite sample, but all of 36 students who picked the basalt sample answered correctly. And $62\%$ of 8 students who chose the andesite sample, 62% of 32 student choosing granite, $7\%$ of 13 students choosing diorite and $44\%$ of 9 students choosing gabbro were correctly answered. In identifying igneous rock samples with the naked eye, most subjects relied on vesicular texture to basalt, and they used textural, color and empirical characters to granite. But, some felt more or less difficulty to distinguish between intermediate and light colors and to recognize porphyry.

• Culinary science and hospitality research
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• v.18 no.3
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• pp.1-17
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• 2012

This study was planned for an empirical review of foodservice operation in expressway rest areas for a menu strategy targeting staff and customers. The results were as follows. Main foodservice category included 10-30 items of Korean dishes. The needs for having branded foodservice menu in rest areas were high in fusion/fast foods, snack/ready-made and beverages. Employment of professional cooks in rest areas was low (10-30%), and the most important factor was 'taste' when cooking Korean foods. Foreigners preferred fusion/fast foods and snack/ready-made foods to Korean food, beverages and Japanese/Chinese foods, and most of the foreigners ordered food with 'no question'(55.5%) or 'some questions'(34.8%). Rest area staff prepared some photos/pictures of foods (80-100%) for menu comprehension, but the accuracy of menu transcription was very low. Customers used a rest area once or twice, stayed for 10-20 min(43.6%)/20-30 min(38.6%), visited by car(77.7%) to relax and use toilets(61.6%) on average. Favorite food and snacks were Korean(32.7%) and ready made/snacks(33.0%), and they spent 5,000-10,000 won(51.3%), 3,000-5,000 won(25.8%) on them. Customer satisfaction with rest areas was 'average' regardless of gender, age, education levels and jobs. With this analysis, we should prepare an efficient menu strategy for customer satisfaction and plans for analyzing problems along with alternatives.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.104-120
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• 2011

This study is to make an empirical analysis of star marketing used as die means of sales promotion for Christmas cakes regardless of high advertising cos1s, by understanding the influence of attributes of celebrity advertising models for advertisements of bakery companies over die Christmas season on advertising attitude, corporation reputation and reliability which are recognized by consumers. The verification results were judged as important core elements for successful management in bakery industry. Since bakery brands are losing their differentiations in both functional and physical aspects, the study aimed to offer strategic suggestions to bakery industry. The result of study modelling were GFI=0.911, AGFI=0.887, NFI=0.935, CFI=0.979, RMR=.126 at the level of $x^2$=313.294(df-=218, p<0.001). First, model credibility and model attractiveness of advertising models bad a positive(+) influence on advertising attitude. Second, advertising attitude bad a positive(+) influence on corporation reputation and reliability. Third, corporate reputation also bad a positive(+) influence on corporate reliability.

• Spatial Information Research
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• v.10 no.1
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• pp.153-164
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• 2002

This used a new method to capture the neighbouring relationship among parcels. To define the neighbouring relationship, all the surrounding parcels in the study area can be identified as neighbours of the current parcel as long as they touch each other even at a point. To examine neighbouring parcels on all polygons of the study area, this study used ArcViews avenue programming which visited each polygon in turn and produced an outfile containing the parcel record ID and the contents of each of the adjacent parcels. The second thing is to translate the record IDs of neighbouring parcels into land use. For this, this study used the Lookup function in Excel to obtain neighbouring land use. To deal with how to calculate the ratio of each land use to neighbouring land uses, this study used Visual Basic. finally, this study considered a term of neighbour land use as the ratio of the number of urban use adjacent parcels to the total number of adjacent parcels. This study shows that GIS and spatial analysis can be applied to land use change in the urban fringe area at a very detailed level using municipal parcel data which occupies about 80% of administrative affairs, especially at the local government level in Korea. The results of analysis can be useful for local government to understand its situation and to manage land use efficiently in the urban fringe. The methodology developed in this study is especially useful for an empirical approach.

• Spatial Information Research
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• v.20 no.1
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• pp.71-80
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• 2012

Carbon Point system is Climate Change Action Program by providing incentives in proportion to voluntary reduction of energy consumption such as electricity, gas and water for houses, commercial facilities. So far, existing researches have been limited to construction of GHG(Green House Gas) Inventory and have little attention to empirical impact analysis on carbon reduction policy regarding the residential section. Therefore, this paper is intended to provide convincing findings of impact analysis on carbon reduction, revolving around the carbon point system. For this, we firstly calculated the carbon emission by using electricity and gas usage data in household targeting to Seongbuk-Gu. Carrying out IPA and spatio-temporal analysis. Then, we are capable of visualizing spatial patterns from 2007 to 2009 as a macro analysis. Following that, we explored the effect on carbon point system through Ex ante-Ex post Analysis by paired t-test. To conclude, we can spatially identify the distribution with a significant difference between carbon emissions according to energy use as a micro analysis by Hot Spot to Analysis on point entities. It is to be hoped that this method will be utilized to establish various policies and to evaluate the effect of reduction of GHG.