• 지역사회간호학회지
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• 제31권3호
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• pp.290-299
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• 2020

Purpose: The purpose of this study is to examine the mediating effect of sleep quality in the relationship between academic stress and social network service (SNS) addiction tendency among adolescents. Methods: The participants were composed of 204 high school students who were enrolled at private schools in Incheon metropolitan city. Data were collected from August 16 to September 10, 2019. The collected data were analyzed using a regression analysis, and SPSS Process Macro was used to test the mediating effect. Results: The direct effect of academic stress on SNS addiction tendency and the indirect effect of academic stress mediated with sleep quality about SNS addiction tendency were statistically significant. Conclusion: These findings suggest that positive intervention for academic stress and effective intervention program enhancing sleep quality should be provided for adolescents in order to prevent SNS addiction.

• Journal of Information Technology Applications and Management
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• 제27권5호
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• pp.69-80
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• 2020

Recently, luxury brands are selling their products to consumers using their own direct online channels. In the online channel, marketing strategy through storytelling is needed because consumers do not have enough product experience. Therefore, luxury brands are actively utilizing social media and delivering stories includes their birth and growth. Unlike mass media, social media communicates with consumers more quickly and frequently and delivers the story of brand naturally. This study classifies luxury brands into four groups based on story recognition of luxury brands and self-esteem, and analyzes and materializes each group of the propensities of luxury brand consumption. It also tries to draw strategic implications for effective SNS advertising by analyzing narrative transportation on SNS advertising, interests in videos, and the interests in story based on these typified groups of luxury consumption. The result of the analysis shows that there is a difference in consumption propensity among consumers who were classified into four groups according to story cognition of luxury brands and self-esteem. There is also a difference in the response to narrative images through SNSs, such as narrative transportation, interests in videos, and interests in brand stories.

• 유통과학연구
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• 제21권7호
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• pp.73-82
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• 2023

Purpose: Social networking services have been recognized as an attractive distribution channel at a time when efforts to deliver effective messages to consumers are essential amid a flood of advertisements in the multi-media era. In that sense, this study investigated the effect of the scarcity message type (limited-time vs. limited-quantity) and sender type (corporate vs. consumer) on the intention to purchase golf equipment by Instagram distribution channel. Research design, data and methodology: Data from 108 college students in their 20s and 30s with experience using Instagram were collected online through convenience sampling. A frequency analysis, exploratory factor analysis, reliability analysis, independent sample t-test, and two-way analysis of variance were performed using SPSS 23.0. Results: The results showed that limited-quantity messages induce a higher purchase intention than limited-time messages. Similarly, consumer-sent advertisements induce a higher purchase intention than corporate-sent advertisements. Further, there is no statistically significant interaction effect of the scarcity message type and sender type on the intention to purchase golf equipment. Conclusions: This study is meaningful in verifying consumers' purchase intention depending on the type of scarcity message and the type of sender in Instagram advertisements. The results yield significant implications for marketers and several directions for future research.

• 지능정보연구
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• 제20권2호
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• pp.1-17
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• 2014

소셜 미디어와 소셜 네트워킹 서비스의 확산은 사람들의 라이프 스타일에 많은 영향을 끼치고 있다. 이러한 확산 현상은 소셜 미디어를 통해 새로운 상품이나 서비스를 광고하고 촉진하려는 업계에 유용성을 제공할 뿐만 아니라 방대한 사용자 데이터의 획득도 가능케 하였다. 하지만 대다수의 연구들은 소셜 미디어에 대해 일반적인 통계적 접근 방법과 단편적 측정 방법을 사용하여 전시회의 성과를 측정하고 있어 소셜 미디어의 주 기능인 정보 교환의 측면을 고려하지 않고 있다. 따라서 본 연구에서는 MWC전시회의 트위터 데이터를 활용하여 정보 교환의 특징을 분석하려 한다. 이러한 분석방법은 전시 기획자 및 주관업체가 소셜 미디어의 효과를 객관적으로 측정할 수 있는 방법론을 제공하여 소셜미디어 활용 전략을 수립하는 데 큰 도움을 줄 수 있으리라 판단된다. 사용자 네트워크 분석을 통해 본 연구에서는 추가적으로 정보 교환의 지속가능성 측면에서 사회적 속성이 일반적 속성만큼 중요하다는 사실을 발견하였다. 결론적으로 본 연구는 MWC에서 정보를 교환하는 창구인 소셜 미디어의 사용에 따라 생성되는 데이터를 활용한 네트워크 분석 기법을 제안하는 한편 정보교환의 지속가능성에 대하여 매개 중심성과 중심성과 같은 사회적 속성의 특징을 밝혀냈다.

• 한국조리학회지
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• 제19권1호
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• pp.121-138
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• 2013

본 연구는 소비자들의 SNS 활용 동기 요인이 외식 관련 SNS에 대한 태도와 향후 이용의도에 미치는 영향을 실증적으로 분석하고자 수행되었다. 표본은 인터넷 사용인구분포를 고려하여 성별, 연령대, 거주 지역에 대해 할당표집하였고 총 273명의 자료를 PASW Statistics 18.0, AMOS 17.0을 이용하여 분석하였다. 전체 구조모형을 검증한 결과 적합지수는 ${\chi}^2$=287.558(df=155) p<.000, CMIN/df=1.855 GFI=0.905 NFI=0.887, IFI=0.944, TLI=0.931, CFI=0.943, RMSEA=0.056, RMR=0.025 으로 최적모형이 도출되어 적합한 것으로 나타났으며, 외식 소비자의 SNS 활용 동기 중 기능적 동기와 오락적 동기는 SNS에 대한 태도에 유의한 긍정적 영향 관계를 보였다. 반면 사회적 동기와 심리적 동기는 직접적인 영향을 미치지 않는 것으로 나타났다. SNS에 대한 태도는 이용의도에 유의한 영향을 미치는 것으로 나타났으며 외식 소비자의 경우 SNS의 정보 제공 기능과 오락적 특성은 SNS에 대한 태도에 긍정적인 효과를 나타내고, 이는 외식 관련 SNS를 계속 사용하게 하는 요인인 것으로 볼 수 있다. 이러한 연구 결과를 통해 외식기업에서 소비자에게 효용을 주는 SNS 마케팅 전략을 마련하는데 유용한 정보를 제공할 수 있을 것이다.

• 한국콘텐츠학회논문지
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• 제22권4호
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• pp.145-158
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• 2022

기술의 발전에 힘입어 SNS를 활용하는 기업은 급속도로 증가하고 있으나 SNS를 단순히 '사용'하는 것만으로 그 기능을 '활용'했다고 말하기는 어렵다. 이에 본 연구는 사용을 넘어 디지털 기술과 SNS 기능을 온전히 활용하여 사용자의 편의성을 증대시키고, 공급자의 효율을 높여 현장을 활성화시키고자 하는 목적 아래 연구를 수행하였다. 본 연구는 2021년 2월부터 2021년 12월까지 A대학 대학원 신문사의 페이스북 이용실태를 참여관찰법을 통하여 분석 및 고찰하였다. 이에 따른 연구 결과는 다음과 같다. 첫째, 양질의 콘텐츠를 지속적으로 공급할 수 있도록 콘텐츠의 주제와 유형을 다변화시킬 필요가 있다. 둘째, 타겟보고서나 인사이트 등 SNS 기능을 활용하여 사용자의 범주와 특성을 살피고 이를 기반으로 사용자의 니즈에 맞는 콘텐츠를 공급해야 한다. 셋째, 저조한 사용자 참여와 페이스북 비활성화 문제를 해결하기 위하여 온라인 이벤트 등의 촉진전략을 새로이 개최할 필요가 있다. 이러한 본 연구는 디지털 환경 속에서 시장의 변화를 따라가지 못하는 일부 기업의 현실적 문제를 직시하고, 그 실패 요인과 이를 타진할 수 있는 해결 방안을 제시했다는 점에 연구의 의의를 둔다.

• Industrial Engineering and Management Systems
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• 제12권2호
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• pp.130-142
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• 2013

Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.

• 대한간호학회지
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• 제51권1호
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• pp.68-79
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• 2021

Purpose: This study aimed to analyze the mass and social media contents and structures related to particulate matter before and after the policy enforcement of the comprehensive countermeasures for particulate matter, derive nursing implications, and provide a basis for designing health policies. Methods: After crawling online news articles and posts on social networking sites before and after policy enforcement with particulate matter as keywords, we conducted topic and semantic network analysis using TEXTOM, R, and UCINET 6. Results: In topic analysis, behavior tips was the common main topic in both media before and after the policy enforcement. After the policy enforcement, influence on health disappeared from the main topics due to increased reports about reduction measures and government in mass media, whereas influence on health appeared as the main topic in social media. However semantic network analysis confirmed that social media had much number of nodes and links and lower centrality than mass media, leaving substantial information that was not organically connected and unstructured. Conclusion: Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses' care of vulnerable patients and public health promotion.

• 한국멀티미디어학회논문지
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• 제18권11호
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• pp.1391-1399
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• 2015

In recent times, studies sentiment analysis are being actively conducted by implementing natural language processing technologies for analyzing subjective data such as opinions and attitudes of users expressed on the Web, blogs, and social networking services (SNSs). Conventionally, to classify the sentiments in texts, most studies determine positive/negative/neutral sentiments by assigning polarity values for sentiment vocabulary using sentiment lexicons. However, in this study, sentiments are classified based on Thayer's model, which is psychologically defined, unlike the polarity classification used in opinion mining. In this paper, as a method for classifying the sentiments, sentiment categories are proposed by extracting sentiment keywords for major sentiments by using hashtags, which are essential elements of Instagram. By applying sentiment categories to user posts, sentiments can be determined through the similarity measurement between the sentiment adjective candidates and the sentiment keywords. The test results of the proposed method show that the average accuracy rate for all the sentiment categories was 90.7%, which indicates good performance. If a sentiment classification system with a large capacity is prepared using the proposed method, then it is expected that sentiment analysis in various fields will be possible, such as for determining social phenomena through SNS.

• 복식
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• 제63권5호
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• pp.61-71
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• 2013

As an emerging e-retail model, private shopping malls are transforming the traditional retail systems. These malls are expanding in Europe and the United States and have recently arrived in Korea. This study investigates the relationships among the usefulness of SNS(Social Networking Sites), shopping values, and purchase intentions for fashion products in private shopping malls. The analysis was based on a survey of consumers, aged between 20 and 39, who recently purchased fashion products from a private shopping mall. Two hundred samples were used in the final analysis. The study employed descriptive statistics, Cronbach's alpha, confirmatory factor analysis, and structural equation modeling. The relationships among usefulness of SNS, shopping values, and purchase intentions was verified through structural equation modeling. More specifically, the usefulness of SNS significantly influenced the utilitarian shopping values as well as purchase intention of fashion products. Utilitarian shopping values, in turn, significantly influenced hedonic shopping values and purchase intention. Further, hedonic shopping values had a significant effect on purchase intention.