• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.67-80
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• 2022

In this study, I analyzed the inducing and hindering factors of online shopping malls on browsers in the process of browsing fashion products in online shopping malls. In-depth interviews were conducted by presenting browsing-related questions to women in their 20s and 50s who are interested in browsing fashion products online. Based on the answers of the interviewees, using grounded theory, we analyzed and presented six factors such as price factor, promotion factor, purchase review factor, visual information factor, product information factor, and service factor. Based on inducing and hindering factors to browsing analyzed in this study, a strategy to design a browsing environment in terms of shopping malls was suggested, which will be helpful for practical strategies and marketing in related industries. Basic data will be presented in a thesis on a new type of shopping mall browsing environment related to the rapidly developing information and communication technology. In addition, the negative emotions experienced in relation to the detrimental factors of shopping malls in the browsing process are expected to be helpful in researching fashion product browsing related to consumer psychology.

• 한국사회복지학회:학술대회논문집
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• 2006.04a
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• pp.413-413
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• 2006

• Journal of Digital Convergence
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• v.11 no.4
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• pp.321-330
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• 2013

Lately, in accordance with the improvement of living standards and income level, concern about the health is continuously increasing and the desire is also becoming diverse. This study focused on the user's acceptance of converged smart u-health system. For the study purpose, this paper analyzed the health and technology factors influencing the user's acceptance on u-health system. Thus this study was carried out by using covariance based SEM in order to test the model fitness and path coefficient. As the results, the health management experience among HPM factors and perceived usefulness among TAM had a positive effect on attitude and the perceived usefulness had a direct effect on behavioral intention.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.175-183
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• 2012

This study observed how school resilience of adolescents from multi-cultural families was influenced by risk factors and protective factors. Furthermore, this study verified which protective factor moderated factor to exert positive influence on school resilience. The results showed that risk factors negatively influenced school resilience and protective factors positively influenced school resilience with statistical significance. The results showed that 'high self-esteem' moderated 'negative rearing attitude', 'positive attitude' moderated 'negative rearing attitude' and 'parent conflict', whereas 'teacher support' moderated 'negative rearing attitude' to significantly increase school resilience. The study suggested a measure that can reduce risk factors to increase school resilience of children from multi-cultural families according to the moderation relationship between protective factors and risk factors.

• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.7-10
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• 2013

본 연구는 2005년부터 2013년 3월까지 Scopus에서 페미니즘 분야를 선정하여 이에 해당하는 논문 37편과 이 논문들이 인용한 유튜브 55개를 대상으로 학술논문들이 유튜브를 인용할 때 활용하는 유형과 문제점을 살펴보고 참고문헌으로서 유튜브의 표기사항에 영향을 미치는 요인을 분석하였다. 연구 의도를 효율적으로 보여주는 유튜브는 0.34%의 인용률을 나타내고 있으며 지속적으로 인용이 증가하고 있다. 그러나 유튜브 접속오류는 55개중 6개(10.9%)이며, 참고문헌으로서 유튜브의 표기가 부적합하게 기재된 경우는 38개(69.1%)였다. 그 원인으로 올바르게 표기하지 않은 저자의 노력 부족과 인용된 유튜브가 학술정보로서 충분한 정보를 제공하지 못한 경우가 중요한 요인으로 나타났다.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.77-85
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• 2022

Unlike previous studies that focused on the diversity of YouTube content, this study tried to identify factors affecting users' satisfaction with the YouTube recommendation system. Specifically, by adding content preference suitability and privacy concerns to the technology acceptance model, we empirically analyzed how these variables affect user's satisfaction of the YouTube AI recommendation system. For this purpose, asurvey was conducted on college students in their 20s and 30s, and the main research results are as follows. First, in the respondents of this study, playfulness and usefulness, which are major variables of the technology acceptance model, appeared as significant factors affecting the satisfaction of the YouTube AI recommendation system, whereas the effect of ease to use was not found. Second, content preference suitability was found to affect the satisfaction with AI recommendation system, but privacy concerns did not affect the satisfaction with YouTube AI recommendation system. Based on these research results, the implications of the study and the directions for future studies were suggested.

• KOREAN POULTRY JOURNAL
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• v.47 no.5
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• pp.144-148
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• 2015

• Korean Journal of Environment and Ecology
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• v.25 no.4
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• pp.621-630
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• 2011

This research examines the push and pull factors of temple stay in Korean national parks. 152 participants of temple stay in Woljeongsa and Guryongsa in national parks in Gangwon-do area completed a survey to access their reasons for participating in temple stay(push factors) and to evaluate how well the visiting experience performed on a selected set of attributes(push factors). Demographics of respondents were similar to the visitor characteristics of Korean national parks. The result of factor analysis identified 6 push factor domains of 'self actualization', 'health enhancement', 'nature assimilation', 'relationship elevation', 'religious experience', and 'leisure experience'. 6 pull factor domains were 'recuperative quality', 'quality of a temple stay program', 'attributes of a temple', 'user convenience', 'tourism experience' and 'accessibility and transportation'. Satisfaction level of temple stay in a national park was very high of 4.71 in a 5 Likert scale. Gangwon- Do was most preferred with the percentage of 89.2 as a suitable area for temple stay in a national park. Findings of multi-dimensional tourism motivations of temple stay in a national park that encompass nature tourism, cultural tourism and religious tourism is expected to provide useful information for the future development of a more competitive temple stay program and a marketing strategy. However, more defined successive research work is required to generalize findings of wellness oriented push and pull factors of temple stay based on nature in national parks.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.309-317
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• 2020

The purpose of this study was conducted in two stages for university students at K and Y universities in Gyeongsangbuk-do to examine the factors affecting their use intention to use YouTube learning contents due to any of the factors of YouTube learning contents characteristics. Based on the results of the first survey, the measurement items were organized and based on this, second survey was conducted on the use intention of YouTube learning content learners. As a result, it was found that content diversity, content simplicity, content quality, interactivity, and ease of use influenced use intention. Among them, content diversity was found to have the most influence on use intention than others. This study is expected to be used as a basic research data necessary to activate e-learning in the current university and to enhance the learning effect by researching YouTube which is a new learning trend of university students.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.429-436
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• 2013

Context aware environment u-health service is to provide health service with recognition of a computer. The computer recognizes that a patient can contact real life in many context. Context aware environment service for recommend have to definition of context data and service recommendations related to factors shall be identified. In this paper, Context aware environment of u-health service will be provide context data related to identifies recommendations factors using multivariate analysis method and recommendations factors creation to decision tree, association rule based decision model. health service recommend for significantly context data can be distinguish through recommendation factors of identify. Also, context data of patient can know preference factors through preference decision model.