• Journal of Distribution Science
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• v.17 no.7
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• pp.5-13
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• 2019

Purpose - In order for companies to be competitive and adapt to the trend of development, it is important for many airlines to secure outstanding human resources and the need to nurture them. It can be expected that by systematically analyzing and organizing the characteristics and types of competences considering the duties of the airline cabin crew, the personal and organizational capacities of the cabin crew can be defined and presented theoretically. Research Design, Data, and Methodology - This survey was conducted over a seven-month period from February 1 to September 30, 2018 and was designated as a domestic airline flight attendant. Direct visits to Incheon International Airport and Gimpo International Airport were also conducted through an online questionnaire. A total of 515 questionnaires were used for empirical analysis. To verify two hypothesis of this study, a regression analysis and exploratory factor analysis (EFA) were performed using SPSS WIN 26.0. Results - Analysis on the impact of personal capacity of airline cabin crew on job satisfaction showed that technical competence, knowledge capacity and ability capacity, which are sub-factor factors of personal capacity, had a positive effect on job satisfaction. Recovery resilience also plays a positive role in relationships between individual competence and job satisfaction. Conclusions - It has been empirically analyzed that the personal characteristics of the airline crew have a significant effect on flight attendant's job satisfaction. It can be seen that flight attendants tend to perform well beyond what is required in their duties, and that active and confident cabin crew members tend to perform well in the direction of improving their duties, and are also highly satisfied with their duties.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.434-445
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• 2018

This study examined whether mobile OTT video service substitutes home TV by using 3 screen data of Nielson-KoreanClick. According to the 2SLS estimation results, when the time spent on mobile OTT video service increased by 1% p, the time spent watching home TV decreased by 12.4%. The results also showed that 1%p increase in the time spent using YouTube app and the mobile OTT video services provided by telecommunication company(Oksusu, Alleh TV, VideoPortal) reduced the time spent on watching terrestrial channels on TV by 16.2% and 23.9%, respectively. The displacement of mobile OTT video service on home TV will be accelerated in the near future. In order to resolve the issue of regulatory unfairness with pay TV services and to safeguard viewer's interests, discussions to establish regulation for OTT video services should be taken place more quickly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.91-99
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• 2011

Adult-learners of online education have been distant from studying for a long time and are rather familiar with the old massive education. As a result, despite the excellent ability in self-control learning that results in great academic performances and academic continuity, the learners give up on learning, feeling depressed for not being able to perform their advantage, the self-control learning ability. The study developed a self-control learning model and UDL design learning model in order to establish e-mentoring system. For the analysis on results of the experiment, the researcher extracted academic grade, the rate of re-register, and the amount of total studying time after dividing new students and transfer students of H cyber university into the control group and the experimental group. In conclusion, the results showed that more satisfied the control group is, the higher academic achievements and the higher academic continuity are accomplished.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.231-250
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• 2018

In this paper, we propose a new methodology for extracting and formalizing subjective topics at a specific time using a set of keywords extracted automatically from online news articles. To do this, we first extracted a set of keywords by applying TF-IDF methods selected by a series of comparative experiments on various statistical weighting schemes that can measure the importance of individual words in a large set of texts. In order to effectively calculate the semantic relation between extracted keywords, a set of word embedding vectors was constructed by using about 1,000,000 news articles collected separately. Individual keywords extracted were quantified in the form of numerical vectors and clustered by K-means algorithm. As a result of qualitative in-depth analysis of each keyword cluster finally obtained, we witnessed that most of the clusters were evaluated as appropriate topics with sufficient semantic concentration for us to easily assign labels to them.

• Journal of the Korean Society for information Management
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• v.37 no.3
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• pp.275-299
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• 2020

This study investigates the factors affecting behavioral intention of professors and students at universities to use academic libraries in a hybrid library environment where a traditional physical library is combined with a digital library that is centered on online information use. The structural relationships among factors were also analyzed in this study by utilizing a combined behavioural model which was based on TPB and TAM. This study identified users' intention to use academic libraries according to changes in the use environment, and the findings of this study bring a valuable meaning to library administrators for setting up the strategic plan for the future of academic libraries. The results of this study imply that academic libraries should strategically setup an effective and efficient operating plan based on awareness, attention and cooperation, in order to survive as well as to accomplish balanced growth in rapidly changing environment.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.545-554
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• 2014

In this paper, we propose online Chinese character learning machine with a depth camera, where a system presents a Chinese character on a screen and a user is supposed to draw the presented Chinese character by his or her hand gesture. We develop the hand tracking method and suggest the adjusted chain code to represent constituent strokes of a Chinese character. For hand tracking, a fingertip is detected and verified. The adjusted chain code is designed to contain the information on order and relative length of each constituent stroke as well as the information on the directional variation of sample points. Such information is very efficient for a real-time match process and checking incorrectly drawn parts of a stroke.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.342-351
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• 2020

The purpose of this study is to investigate the relations of loneliness and YouTube addiction on college life adjustment of college students in the distance education during COVID-19 environment. In order to accomplish this purpose, this study built a research model that viewed how loneliness and YouTube addiction work together to explain college life adjustment such as social adjustment, academic adjustment. This study was conducted an online survey and applied 95 survey data to the final analysis. Structural equation model was used to analyze the data. The results of this study are summarized as followings. First, loneliness has negative effects on both social adjustment and academic adjustment. Second, YouTube addiction has a negative effect on social adjustment. In conclusion, loneliness and YouTube addiction are the significant predictor for the college life adjustment. Implications for practice are discussed.

• The Journal of Industrial Distribution & Business
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• v.10 no.3
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• pp.25-33
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• 2019

Purpose - With the economic development in China, the lifestyle of Chinese customers has changed dramatically. Chinese customers are more likely to have coffee in a shop with the ability to make them happy than those with high quality coffee in a nice physical environment. Happiness becomes a critical driver of customers' intention to purchase a cup of coffee in a specific coffee shop again and again. As a result, happiness becomes an important factor for managers to make strategies for attracting customers. Although managers and scholars pay more attention to emphasize the importance of happiness in customers' consumption, little research has been conducted to investigate the relationship between happiness and coffee shop's continuous usage intention in the Chinese coffee industry. Research design, data, and methodology - A research model is made to explain the impact of happiness on customer's behavior. To understand the influence of happiness better, we consider two dimensions of happiness which are subjective well-being and psychological well-being. In order to confirm the relationships of the variables in the research model, the online survey is constructed in China. Customers who have experienced the services in a coffee shop are asked to do the questionnaire. With 453 reliable questionnaires, structural equation modeling is used to analyze the causal relationships of the coffee quality, physical environment, subjective well-being, psychological well-being, and continuous usage intention. Results - Results indicate that coffee quality and physical environment are not the direct factors that influence customers' continuous usage intention. However, good coffee quality and physical environment are the significant predictors of Chinese customers' happiness associated with subjective well-being and psychological well-being, which in turn affects customers' continuous usage intention. Conclusions - In this study, it is proposed that coffee quality and physical environment may be the key factors influencing customers' happiness. Happiness, including subjective well-being and psychological well-being matters in decision making process. More importantly, happiness increases the continuous usage intention when the coffee shop can serve customers with higher quality coffee at a good atmospheric place. Managers should consider happiness as an important factor in making marketing strategies to compete in this industry.

• Knowledge Management Research
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• v.10 no.2
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• pp.85-103
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• 2009

Web 2.0, characterized as openness, sharing, and participation, has enabled Internet users to easily generate a variety of contents, and to share them through Web 2.0 services. Knowledge search service (KSS) is positioning itself as one of typical Web 2.0 services. Yet, few studies have sharpened our understanding of users' knowledge sharing behavior in the KSS environment. In order to address this knowledge void, this paper attempts to explore antecedents of their usage behavior in the KSS environment. Typically, they utilize stored knowledge and share their knowledge simultaneously. Considering this characteristic, our study regards service usage intention and knowledge sharing intention as final dependent variables. This study advances a research model based on Bhattacherjee's expectation-confirmation model, which is expanded by incorporating trust belief. Because of the openness of KSS, trust belief is believed to play a critical role in forming users' service usage intention and knowledge sharing intention. Furthermore, this study examines the difference of the antecedents' effects in terms of users' gender. We collected data from 275 respondents who have experience in using KSS. PLS (partial least squares) was employed for the analysis of the data. Analysis results confirm the important role of user satisfaction and trust belief in the formation of users' service usage intention and knowledge sharing intention. More importantly, trust belief has a more salient effect on knowledge service usage intention than user satisfaction. This study also shows the moderating role of users' gender. Finally, this paper provides managerial guidance on strategic planning aimed at improving users' service usage intention and knowledge sharing intention in the KSS environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.652-654
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• 2018

Recently there are many people who suffer from a mental problem like depression or anxiety caused by the stress of employment or school works. Some mental care agencies serve a campaign for them, but it's less accessible due to the geographic distance. And before taking the service, people should find out what is a better psychological test for them to diagnose the problem. Furthermore, it is inconvenient that keeping the diagnosis which is written in some papers. In his paper, in order to solve these problems, suggests the novel platform that serves psychological tests to users and stores results into database so that involved agencies could contact quickly. The psychological tests BAI, BDI, PHQ-15, and Q-15 were used to verify the reliability and effectiveness of the platform.