• Title/Summary/Keyword: Social Trend

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건강정보이해능력·정신건강정보이해능력 국내연구경향분석 : 2007년-2017년 (Research Trend Analysis of Health and Mental Health Literacy in Korea : 2007-2017)

  • 백정원;이희윤;남희은
    • 보건의료산업학회지
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    • 제12권3호
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    • pp.95-106
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    • 2018
  • Objectives: The purpose of this study was to analyze the recent research trends in health and mental health literacy and suggest their implications for future research. Methods: Ninety six articles on the topics of health literacy and mental health literacy that were published in journals in Korea during the last 10 years analyzed. Results: The majority of articles were published in medical journals, whereas the articles published in social and natural sciences journals were conducted by multidisciplinary research teams and seemed to be increasing generally. The participants studied in the selected articles were mostly older adults followed by adults aged 18 and over, and other various groups including health professionals and immigrant groups. More than 97% of the articles used quantitative research methods. Conclusions: Health literacy mirrors other health inequalities. To increase the level of understanding of health information, studies should be conducted using various variables. It is also necessary to develop a community education program that can be implemented in the community. Futher, the results highlighted the importance of interdisciplinary research. It is hoped that this effort will help solve t health inequality.

A Study on the Trend Change of Restaurant Entrepreneurship through Big Data Analysis

  • Jong-Hyun Park;Yang-Ja Bae;Jun-Ho Park;Gi-Hwan Ryu
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권4호
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    • pp.332-341
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    • 2023
  • Notable trends in the restaurant start-up market after the lifting of social distancing include increasing interest in start-ups, emphasizing the importance of food quality and diversity, decreasing the relative importance of delivery services, and increasing interest in certain industries. The data collection period is three years from April 2021 to May 2023, including before and after social distancing, and texts extracted from blogs, news, cafes, web documents, and intellectuals provided by Naver, Daum, and Google were collected. For the collected data, the top 30 words were derived through a refining process. In addition, based on April 2021, the application period of social distancing, data from April 2021 to April 2022, and data from May 2022 to May 2023, Through these changes in trends, founders can capture new opportunities in the market and develop start-up strategies. In conclusion, this paper provides important insights for founders in accurately understanding the changes in food service start-up trends and in developing strategies appropriate to the current market situation.

A Trend Analysis on E-sports using Social Big Data

  • Kyoung Ah YEO;Min Soo KIM
    • Journal of Sport and Applied Science
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    • 제8권1호
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    • pp.11-17
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    • 2024
  • Purpose: The purpose of the study was to understand a trend of esports in terms of gamers' and fans' perceptions toward esports using social big data. Research design, data, and methodology: In this study, researchers first selected keywords related to esports. Then a total of 10,138 buzz data created at twitter, Facebook, news media, blogs, café and community between November 10, 2022 and November 19, 2023 were collected and analyzed with 'Textom', a big data solution. Results: The results of this study were as follows. Firstly, the news data's main articles were about competitions hosted by local governments and policies to revitalize the gaming industry. Secondly, As a result of esports analysis using Textom, there was a lot of interest in the adoption of the Hangzhou Asian Games as an official event and various esports competitions. As a result of the sentiment analysis, the positive content was related to the development potential of the esports industry, and the negative content was a discussion about the fundamental problem of whether esports is truly a sport. Thirdly, As a result of analyzing social big data on esports and the Olympics, there was hope that it would be adopted as an official event in the Olympics due to its adoption as an official event in the Hangzhou Asian Games. Conclusions: There was a positive opinion that the adoption of esports as an official Olympic event had positive content that could improve the quality of the game, and a negative opinion that games with actions that violate the Olympic spirit, such as murder and assault, should not be adopted as an official Olympic event. Further implications were discussed.

소셜 네트워크 서비스의 활용방안 연구 : 트위터를 중심으로 (Utilization studies of Social Network Service : Focused on Twitter)

  • 육지애;정형원;유수미
    • 디지털산업정보학회논문지
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    • 제7권1호
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    • pp.85-93
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    • 2011
  • 2010 trend of Web services is Social Network Service. What does Social Network Service are like this? What could really be used? I also take advantage of future can I do? To elicit answers to the question of Social Network Service and the overall status of the root is used in the case Learn about the current utilization plan after the proposed research. The use of practices being applied to Social Network Service, the three theories were derived positive and negative aspects. Research based on more than the utilization of Social Network Service to build a social safety net to take advantage and use of learning aids were divided into suggestions. Utilized for building a social safety net, and when the reported channel to channel, the use of learning aids to learning that one day, one-on learning by applying the proposed total of four kinds of utilization.

Big-data Analytics: Exploring the Well-being Trend in South Korea Through Inductive Reasoning

  • Lee, Younghan;Kim, Mi-Lyang;Hong, Seoyoun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권6호
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    • pp.1996-2011
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    • 2021
  • To understand a trend is to explore the intricate process of how something or a particular situation is constantly changing or developing in a certain direction. This exploration is about observing and describing an unknown field of knowledge, not testing theories or models with a preconceived hypothesis. The purpose is to gain knowledge we did not expect and to recognize the associations among the elements that were suspected or not. This generally requires examining a massive amount of data to find information that could be transformed into meaningful knowledge. That is, looking through the lens of big-data analytics with an inductive reasoning approach will help expand our understanding of the complex nature of a trend. The current study explored the trend of well-being in South Korea using big-data analytic techniques to discover hidden search patterns, associative rules, and keyword signals. Thereafter, a theory was developed based on inductive reasoning - namely the hook, upward push, and downward pull to elucidate a holistic picture of how big-data implications alongside social phenomena may have influenced the well-being trend.

현대 패션에 나타난 르네상스적 장식요소에 관한 연구-1995년 이후에 나타난 트랜드 중에서- (A Study of Renissasnce Decorative Detail -After 1995 Fashion Trend-)

  • 이은영;성은주;이지원
    • 자연과학논문집
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    • 제10권1호
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    • pp.153-174
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    • 1998
  • 95년이후의 FASHION TREND를 보면 단일 지향에 머물지 않고 다양한 상상력이 기초가 된다. 특히 여성복에 있어 여성들의 사회진출과 확실한 위치를 차지하면서 여성스러움으로 돌아가려고 한다. 그 중에서도 특히 르네상스 패션의 경향은 다음과 같은 현대복식의 장식미를 보여주고 있다. ${\cdot}$ 러프칼라모양의과장된 칼라 ${\cdot}$ 과장된소매나 스토마커등의 실루엣 ${\cdot}$ 디프하며 리치한 칼라, 벨벳소재등이 많이 표현되어진다.

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빅데이터를 활용한 정책분석의 방법론적 함의 : 기회형 창업 관련 소셜 빅데이터 분석 사례를 중심으로 (Methodological Implications of Employing Social Bigdata Analysis for Policy-Making : A Case of Social Media Buzz on the Startup Business)

  • 이영주;김도훈
    • 한국IT서비스학회지
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    • 제15권1호
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    • pp.97-111
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    • 2016
  • In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

제품수명주기관리(PLM) 기반의 소셜매뉴팩처링 기술 고찰 (Review of Social Manufacturing Technology on Product Life Cycle Management(PLM) Base)

  • 박종만;김봉선
    • 대한산업공학회지
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    • 제39권3호
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    • pp.156-162
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    • 2013
  • Social manufacturing architecture is based on information delivery through social media and SNS, PLM and social platform, crowd source and knowledge base on whole phase of product life cycle. Although advanced social manufacturing issues are rising globally, its technology emerging into domestic industry is likely to be slow. We focused to review technological changes and R&D trend, patent issues, and then suggest assignments and advices to be practiced for social manufacturing modeling.

2000년 이후 인테리어 데코레이션 트랜드의 언어심상에 관한 연구 (A Study on the Verbal Image of Interior Decoration Trend from the Year 2000)

  • 김주연;한효정;이혜경
    • 한국실내디자인학회논문집
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    • 제15권6호
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    • pp.238-246
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    • 2006
  • Recent trends of interior design have a focus on creation of more various meanings rather than past ideology which sought after the compatibility to the function of modem design. These trends requires integral understanding of social and cultural ideologies with a sens of values for a certain periods. In addition, they also require creativity which able to read, find and solve consumer's diverse demand and desire. Considering the effort of trend forecasting in Korea is still heavily rely on the foreign trend shows, it is natural to attempt to study the analytical forecasting methodology based upon more systematic principles which lead to more objective outcome, when the understanding, forcasting and analysis of interior decoration trend are required. In this thesis, the analysis and forecasting of interior decoration trend are studied by means of verbal image code process which involves the induction of design concept through data extraction, classification and analysis, in order to understanding and satisfying the diversified consumer's demand and trend. The coding process of verbal image is understanding as general concept. by extracting common elements from abstract and individual image, and/or specific concept. Therefore, it is proposed that the database building and data mining process of verbal Image, and subsequent development of programming skill can be applied as more efficient tool for various verbal image process.

A Study of Vlog that Analyze Variables Affecting Perceived Enjoyment : Using Social Communication as a Control Variable

  • Yu, Giseob;Lim, Jeong Hun;Cho, Namjae
    • Journal of Information Technology Applications and Management
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    • 제27권5호
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    • pp.23-33
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    • 2020
  • As the 4G and 5G Internet technologies become more common and developed, an environment for uploading and watching videos is created and spread, in addition to simply uploading posts. Watching and sharing daily life among media contents called Vlog, are very common more than ever. This means that individual users could access Vlog easily and the situation could be new trend. Additionally, academic research about Volg is increasing. We analyzed three independent variables affecting a perceived enjoyment we set up the dependent variable. Information search, self-expression, and social need are set as independent variables and social interaction is set as the control variable. Information search and self-expression are significant effect to perceived enjoyment except social need. In particular, social interaction as a control variable has effect to all relationships.