• 한국병원경영학회지
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• 제16권2호
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• pp.31-52
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• 2011

The cutthroat competition of the market for the medical services caused changes and developments of hospital management from the traditional provider-oriented management to a consumer-oriented management toward the customer. And the popularization of on-line community through the growth and spread of internet technology is developed into an important exploration activity to provide various medical information to patient(or customer) who wishes a high-quality medical services. This is an on-line Word-of-Mouth(WOM). It is a kind of information exploration that is performed by customers before choosing the hospital with off-line word-of-mouth. In this study, we develop our research model to verify the causal relationships among on/off-line WOM, key determinants of hospital choice and the customer's will to make use of the hospitals, and total effect of these variables. We adopt a component-based PSL method for an empirical analysis of the patients experienced dermatology or obstetrics gynecology. Finally, we understand the characteristics of the various medical services and draw new and significant strategic previews.

• Journal of Information Technology Applications and Management
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• 제19권4호
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• pp.1-18
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• 2012

This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.

• Child Health Nursing Research
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• 제27권3호
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• pp.201-210
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• 2021

Purpose: This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI). Methods: This word co-occurrence network analysis study explored major research trends by constructing a network based on relationships between keywords (semantic morphemes) in the abstracts of published articles. Research articles published in the KCI over the past 10 years were collected using the Biblio Data Collector tool included in the NetMiner Program (version 4), using "cancer survivors", "adolescent", and "child" as the main search terms. After pre-processing, analyses were conducted on centrality (degree and eigenvector), cohesion (community), and topic modeling. Results: For centrality, the top 10 keywords included "treatment", "factor", "intervention", "group", "radiotherapy", "health", "risk", "measurement", "outcome", and "quality of life". In terms of cohesion and topic analysis, three categories were identified as the major research trends: "treatment and complications", "adaptation and support needs", and "management and quality of life". Conclusion: The keywords from the three main categories reflected interdisciplinary identification. Many studies on adaptation and support needs were identified in our analysis of nursing literature. Further research on managing and evaluating the quality of life among CACS must also be conducted.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.475-483
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• 2021

COVID-19 pandemic has affected the lives of people and has forced businesses to develop different ways of doing businesses. Several businesses have implemented social responsibility activities. With social distancing keeping many people at home, online and digital platforms have become one of the most important mechanisms for businesses undertakings and implementing those social responsibility initiatives and activities - digital social responsibility (DSR). The purpose of this study is to examine the relationships of electronic word-of-mouth (eWOM) intentions and customer engagement with DSR in social media with attitude toward DSR as the antecedent during COVID-19 social distancing situation in Thailand. The study employs a quantitative research method where sampling method is followed by convenience sampling technique, and study data is collected through survey questionnaire with social media users who have experiences with firms' online social responsibility initiatives. Based the samples of 123 respondents, Structural Equation Modelling (SEM) has been used for analysis. The results show that attitudes toward DSR in social media significantly influence electronic word-of-mouth (eWOM) intentions and have a significant effect on customer engagement with DSR in social media. The mediation analysis also revealed that eWOM intention partially mediated the relation between attitudes toward DSR in social media and customer engagement.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2571-2586
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• 2022

The rapid popularity of government social media has generated huge amounts of text data, and the analysis of these data has gradually become the focus of digital government research. This study uses Python language to analyze the big data of the Chinese provincial government Weibo. First, this study uses a web crawler approach to collect and statistically describe over 360,000 data from 31 provincial government microblogs in China, covering the period from January 2018 to April 2022. Second, a word separation engine is constructed and these text data are analyzed using word cloud word frequencies as well as semantic relationships. Finally, the text data were analyzed for sentiment using natural language processing methods, and the text topics were studied using LDA algorithm. The results of this study show that, first, the number and scale of posts on the Chinese government Weibo have grown rapidly. Second, government Weibo has certain social attributes, and the epidemics, people's livelihood, and services have become the focus of government Weibo. Third, the contents of government Weibo account for more than 30% of negative sentiments. The classified topics show that the epidemics and epidemic prevention and control overshadowed the other topics, which inhibits the diversification of government Weibo.

• 보건의료생명과학 논문지
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• 제11권2호
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• pp.253-260
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• 2023

연구의 목적은 코로나 19 엔데믹 이후 의료관광에 관심을 가지고 있다. 특히 힐링과 치유에 대한 관광 형태 중 하나인 관광 축제 현황분석을 통해 활성화 방안을 제시하는 것을 목적으로 한다. 특히 관광 축제를 통한 힐링과 삶에 대한 치유의 장으로 현대인들에게 여가시간과 각광을 받고 있다. 이러한 삶에 축제라는 것이 중요한 가치 있는 활동으로 자리 잡고 있으며, 축제가 보다 체계적으로 구조적 관계들이 분석되어야 할 것이다. 결과적으로 힐링에 관계된 축제 개최에 따른 지역발전 영향요인이 축제 품질과 축제 신뢰 및 축제만족 그리고 구전 효과까지 영향을 미치는 검증을 통해 실증적으로 제시하였다는 점에서 매우 중요한 시사점을 제공하였다.

• 한국융합학회논문지
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• 제12권8호
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• pp.1-11
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• 2021

본 연구의 목적은 '복압성 요실금'을 키워드로 검색된 연구들의 경향과 특성을 단어 빈도를 통해 분석하고, 워드 임베딩을 사용하여 그 관계를 모델링 하고자 하였다. 의학 서지 데이터베이스인 MEDLINE에 등록되어 있는 복압성 요실금 연구 9,868개 논문들의 초록 문자 데이터를 Python 프로그램을 이용하여 추출하였다. 그런 다음 빈도 분석을 통해 10개의 키워드를 선택하였다. 키워드 관련 단어들의 유사도는 Word2Vec 머신러닝 알고리즘으로 분석하였다. 그리고, t-SNE 기법을 사용하여 단어의 위치와 거리가 시각화하였고, 이에 따라 그룹을 분류하여 이를 분석하였다. 복압성 요실금과 관련된 연구는 1980년대 이후 빠르게 증가했다. 키워드 분석을 통해 논문 초록에서 가장 많이 사용된 키워드는 '여성', '요도', '수술'로 나타났다. Word2Vec 모델링을 통해 복압성 요실금 관련 연구에서 주요 키워드들과 가장 높은 연관성을 나타내는 단어들에는 '여성', '절박', '증상' 등이 있었다. 그리고, t-SNE 기법을 통해 키워드와 관련 단어들은 복압성 요실금의 증상, 신체 기관의 해부학적 특성, 그리고 수술적 중재를 중심으로 하는 3개의 그룹으로 분류될 수 있었다. 본 연구는 초록을 구성하는 단어들의 키워드 빈도 분석 및 워드임베딩 방식을 이용하여 복압성 요실금 관련 연구들의 동향을 살펴본 최초의 연구이다. 본 연구의 결과는 향후 연구자들이 복압성 요실금 관련 연구 분야의 주제와 방향성을 선택하는 데 있어 기초자료로 활용될 수 있을 것이다.

• 경영과학
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• 제28권3호
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• pp.95-112
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• 2011

The Internet has generated a number of online review sites where dissatisfied consumers can easily articulate their opinions and comments on products or services. Little attention, however, has been directed to investigating the relationship between negative electronic word-of-mouth (eWOM) and its critical determinants that affect consumers' purchasing behaviors. This study attempts to explore the influence of the key determinants of consumers' negative eWOM behaviors, including their social relationships online. The results show that tie strength is positively associated with the proposed determinants, such as information credibility, external search efforts, and product involvement. Further, we find that perceived risk plays a mediating role in the relationship between consumers' intention to spread eWOM and its key determinants.

• 복식문화연구
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• 제5권4호
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• pp.6-11
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• 1997

The purpose of this study was to identify and to trace the source of origins of 麻帝核試 that appears in Kei Rim Yu Sa(鷄林類事). Comparative liguistic analytical approaches ware employed for this study. Results of this study revealed that madi(마디) survives as a dialect for m ∂ri[머리(頭)] in Kyung Sang Province Thus, it si considered that the dialect madi(마디) is a survival of 마디(麻帝) of Koryo. Similar words to 核試 of Koryo were found in Hebrew and Japanese : Heb. k-u-tsi(zi) means locks of hair and Japanese ku-shi(くシ) has several meanings : comb, head, and the hair of the head. The word 麻帝核試 of Koryo is a compound ward of madi(麻帝), head and k ∂ shi(그시) 核試 locks of hair(hair of the head). 核試 of Koryo , Jao. ku shi(くシ), and Heb. k-u-tsi(zi) showed close relationships to one another. The word ku shi(si) 그시 核試 was derived from Heb. k-u-tsi(zi) and Jap. ku shi(くシ) was originated from 核試 of Koryo. Kor. ku shi(si) 그시 核試 is a transliteration of Heb. k-u-tsi(zi) and Jap. ku shi(くシ) is a trans-literation of Kor. ku shi 그시 核試.

• 한국멀티미디어학회논문지
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• 제9권12호
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• pp.1657-1668
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• 2006

The last few years have represented a boom for the online gaming industry. Internet-based online games have been an increasingly popular form of entertainment. The gaming industry estimates there will be over 26 million online gaming participants in 2002. The rapid development of online game content and related information technology will increase the size of the industry and have a profound impact on many aspects of our lives and our society. This paper develops the exploratory LISREL model for identifying the factors affecting the players' loyalty to a specific brand of online game. The concepts of flow, word of mouth, feedback, challenge, social norms, and online community activities, etc, are all introduced into the model, as the independent variables directly and indirectly affecting loyalty. Based on data collected from an online survey, the validity of the model has been tested and interesting conclusions have been developed concerning the relationships between loyalty and flow, word of mouth, and other independent variables. It is hoped that this result might provide useful guidelines for developing successful online game content.