• Title/Summary/Keyword: SNS advertising

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The Study on the Communication Pattern of Influential Opinion Leaders for Effective Viral Marketing at Facebook (페이스북에서 효과적인 바이럴마케팅을 위한 영향력 있는 의견지도자의 커뮤니케이션 패턴 연구)

  • Cho, Seung Ho;Cho, Sang-Hoon
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.201-209
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    • 2013
  • This study is an application of facebook (FB) as a strategic communication of viral marketing. Old fashioned advertising and public relation in facebook are not effective at social network service(SNS) environment, and a different marketing communication is needed because facebook is essentially oriented for building relationship among people. The study assumes that an opinion leader might exist at facebook and tries to find out how facebook users show a pattern of communication based on level of opinion leadership regarding a product. The findings showed that people with high opinion leadership communicated more actively than people with low opinion leadership. This study will contribute to segment seed consumers using opinion leadership in facebook.

Perceptions of male and female consumers in their 20s and 30s on the 3D virtual influencer (3D 가상 인플루언서에 대한 20-30대 남녀 소비자 인식)

  • Jang, Hea-soo;Yoh, Eunah
    • The Research Journal of the Costume Culture
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    • v.28 no.4
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    • pp.446-462
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    • 2020
  • The objectives of this study are to explore the information source, assessment, and preferred styles of 3D virtual influencers(VI), to investigate the expected impact of advertisements with 3D VIs on brands, and to explore ways of expanding the use of 3D VIs. In-depth interviews with 40 males and females in their 20s and 30s were conducted and qualitative data were analyzed. The study results are summarized as follows. First, the information source of the 3D VI was SNS, acquaintances, and broadcasting. Second, 3D VIs were considered positively due to their attractive appearance, wide utilization, innovative use, freshness, separation from private identity, and time and cost savings, while considered negatively due to their unrealistic appearance and antipathy against replacing a person's role. Third, the preferred appearance styles of the 3D VI differed according to the level of virtuality although the majority of interviewees preferred similar looks to real people with low virtuality. Fourth, diverse image qualities such as innovative, differentiated, trendy, high-value, professional, and future-oriented were considered as transferred to the brand advertised by 3D VIs. Fifth, advertisements with 3D VIs may help build positive perceptions of advertised brands that may lead to purchase behaviors for some consumers. Lastly, to expand the use of 3D VIs, the specific advantages of virtual models should be maximized with consideration of how to implement a variety of body types and images of models. Findings present an important foundation to generate strategies to better apply 3D VIs to the fashion market.

User satisfaction analysis for layer-specific differences using the IoT services (IoT 서비스를 사용하는 사용자 계층별 차이에 대한 만족도 분석)

  • Park, Chong-Woon;Kwon, Chang-Hui
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.90-98
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    • 2017
  • Since 2010, SNS was holding the explosive spread of smartphones has created a place of public advertising platform, and it entered the Internet of Things (IoT) is born gradually countdown of the era came to us already. In utilizing a variety of location-based services IoT services (beacon, O2O) The focus of this paper to analyze the differences in satisfaction with the oil layer by experienced users of what is being used. We consider the type and overall utilization of the concepts typical IoT service in the current service is made to expand the contents of the paper. Hypothesis was reconstructed ease, attractiveness, a survey reliability, value four kinds of models, called Honeycomb UX, User Experience Honeycomp Peter Mobil. Company that provides the service IoT in this study are expected to be used as basic data to help provide a more accurate personalized service according to the user's satisfaction difference.

Research Analysis on User's Acceptability of Digital Contents Distribution among Individuals (개인 간 저작물 유통을 위한 사용자의 수용성 조사 분석)

  • Sohn, Bang Yong;Suh, Hye Sun
    • Journal of Digital Convergence
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    • v.14 no.1
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    • pp.211-217
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    • 2016
  • There have been gradually established paid using system on contents, such as sound source, webtoon etc, with which licences are systematically managed. However, rampant free sites still mostly relying on advertising revenue make difficulties on lots of contents developers and obstruct the protection of their resonable right. In this situation, we need systematic measures to protect copyright of authors and to maximize use of contents of users. Therefore, it is important to handle the convenience of digital contents distribution and the diversity of contents license(differentiating permission rate according to user's purpose, scope, service period etc), based on the need of contents users. This paper implies to guideline to install contents distribution platform of individuals and to apprehend the need and acceptability of users in order to activate digital contents transaction on individuals.

Use of Social Commerce Restaurant Products by College Students According to Demographic Characteristics and Eating Out Behavior (인구통계학적 특성 및 외식행동에 따른 대학생의 소셜커머스 외식상품 이용 현황)

  • Jo, Mi-Na;Heo, Ji-Hwan
    • Korean journal of food and cookery science
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    • v.30 no.3
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    • pp.291-306
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    • 2014
  • The purpose of this study was to examine the use of social commerce restaurant products by college students according to demographic characteristics and eating out behavior. The questionnaire for the survey was distributed to 450 college students, who have experiences of purchasing a restaurant product on social commerce, with 286 responses used for analysis. From the result, college students frequently use smart phones and SNS for making such purchases. While the awareness of social commerce was high, they sometimes visited the websites and purchased products. The awareness and purchase experience of Coupang and Ticket Monster turned out to be the highest. The most frequently purchased product was restaurant discount coupons, followed by fashion/accessories, movie or concert tickets, food products, and beauty shop discount coupons. The discount rate was mostly 30 to 40% on average. The most significantly considered matter in purchasing products and services was product quality, followed by discount rate and consumer review. The respondents ate out at least 3 to 5 times a week, spent $100,000{\leq}200,000$ won, and were generally satisfied with the restaurant products from social commerce sites. The main satisfaction reason was price, whereas the dissatisfaction reason was false and puffy advertising. Service quality improvement and variety of category were the most necessary factors for improvement. Among the demographic characteristics, there was a difference in purchase expenditure of social commerce restaurant products, as well as purpose, companion, time used and word-of-mouth experience according to gender. According to grade, there was a difference in purchase expenditure, companion, area of use and impulsive purchase. Among the eating out behavior, there was a difference in purpose, companion and word-of-mouth experience according to the eating out frequency. Meanwhile, there was a difference in purchase expenditure, companion, time used, word-of-mouth experience and tool according to the eating out cost.

A Classification of Medical and Advertising Blogs Using Machine Learning (머신러닝을 이용한 의료 및 광고 블로그 분류)

  • Lee, Gi-Sung;Lee, Jong-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.730-737
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    • 2018
  • With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.

Advertising effects of tendency of Facebook user's writing 'comment' and the number of 'like' in posting (페이스북 사용자의 '댓글'반응경향과 게시글의 '좋아요' 수가 광고효과에 미치는 영향)

  • Park, Euna;Jee, Yong-Hyen
    • Journal of the Korea Convergence Society
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    • v.10 no.7
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    • pp.109-114
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    • 2019
  • This study explored how the tendency of writing 'comment' by Facebook users and the number of 'like' in posting message affected to product attitude, purchasing intention. One hundred thirty five male and female college students were divided into groups with high/low tendency of writing 'comment'. The subjects had to read posting message about athlete shoes on Facebook's newsfeed, different from the conditions under which the 'like' in the posting was high and low. Then, they were responded product attitude and the intention of purchasing. The results of two-way ANOVA showed that the users with low tendency of writing 'comment' displayed more positive product attitude and higher willingness to purchase under condition with a high 'like' number of posting than under condition with a low 'like' number of it.

An investigation into the Online Sales Channels of Small Business Fashion Retailers on Portal Shopping and Fashion Shopping Malls (소상공인 패션판매업자의 온라인 판매채널 연구: 포털쇼핑몰과 패션쇼핑몰(종합물/전문몰)을 중심으로)

  • Son, Mi Young
    • Human Ecology Research
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    • v.59 no.4
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    • pp.449-463
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    • 2021
  • The aim of this study was to analyze the perceptions and entering status of small business online fashion retailers on portal shopping and fashion shopping malls. Case studies were conducted on a total of 10 research samples. The results were as follows: first, regarding the strategic factors of online fashion stores, 'price competitiveness' is important, especially in portal shopping and low-cost brands; 'product assortment' is important but not essential in all platforms; and 'differentiation' is important to continuously secure loyal customers in fashion shopping malls. Customer satisfaction leads to customer loyalty, and customer loyalty affects the sales conversion rate and brand growth of online sales channels. Factors that promoted sales activities in online sales channels were exposure, advertisements, SNS, events, special exhibitions, and events. Hindrance factors were low price competition, overheated competition, and the MD of sales channels. Second, the research samples used multiple online sales channels, including portal shopping malls and fashion shopping malls, in addition to their own malls. The selection factors were platform reputation and commission, branding, and customer inflow through exposure. Portal shopping malls were perceived as providing easy access, advertising/customer communication, exposure/search, price competitiveness, scalability, and intense competition, whereas fashion shopping malls were perceived as providing a brand image and concept, brand promotion, high commissions, difficult entry, and low profits. The factors for success in portal shopping malls were exposure/search, price competitiveness, and brand recognition, whereas the factors for success in fashion shopping malls were differentiation, brand, exposure/advertisement, product assortment, and MD.

Course recommendation system using deep learning (딥러닝을 이용한 강좌 추천시스템)

  • Min-Ah Lim;Seung-Yeon Hwang;Dong-Jin Shin;Jae-Kon Oh;Jeong-Joon Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.193-198
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    • 2023
  • We study a learner-customized lecture recommendation project using deep learning. Recommendation systems can be easily found on the web and apps, and examples using this feature include recommending feature videos by clicking users and advertising items in areas of interest to users on SNS. In this study, the sentence similarity Word2Vec was mainly used to filter twice, and the course was recommended through the Surprise library. With this system, it provides users with the desired classification of course data conveniently and conveniently. Surprise Library is a Python scikit-learn-based library that is conveniently used in recommendation systems. By analyzing the data, the system is implemented at a high speed, and deeper learning is used to implement more precise results through course steps. When a user enters a keyword of interest, similarity between the keyword and the course title is executed, and similarity with the extracted video data and voice text is executed, and the highest ranking video data is recommended through the Surprise Library.

A Study on the Types of Virtual Influencers in China Using Q Methodology

  • LILI;Jong-Yoon Lee;ShanShan LIU;Jang Sun Hong
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.152-161
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    • 2023
  • Modern people live a life connected with the real world and the virtual world by relying on the new media of enterprises and social consumption led by innovative technologies. In this environment, virtual influencers actively communicate with consumers and build relationships through social media, which is a new marketing tool that has attracted widespread attention. From a business perspective, it is necessary to have a solid understanding of this phenomenon, and then explore communication strategies to effectively develop virtual influencers. To investigate followers' preference for virtual influencers, this study employs the Q-method, which studies human subjective attributes, an empirical research effort to uncover complex issues in human subjectivity. To determine the factors that trigger people's voluntary and active practice and the preference degree of virtual influencers, the Q method is implemented to examine human subjectivity, thoughts and attitudes. According to the results of this study, virtual influencers are a new group of idols full of vitality. The interviews found that there are still many virtual influencers who do not know about followers, but each type can be clearly understood through the intuitive understanding of the interviewees. Divided out, type 1 one egoideal virtual influencers aim to represent an idealized version of the creator or target audience. Embodies ideal physical characteristics, personality or lifestyle desired by the audience. Type 2 is charismatic and attractive, and has the characteristics of most virtual influencers. It is suggested that it can be developed into a potential type, doing brand cooperation, and content production on social media platforms. Type 3: Game animation, derived from the image of characters in games or comics, with stylized features and energetic personalities, which can be integrated into games or entertainment experiences. Type 4 development potential type is the most successful type among virtual imagers, and it is also the purpose of marketing virtual influencers. It is essential that brand endorsement on social media platforms, integrated marketing, and driving advertising traffic. It is recommended to improve production technology to reduce investment costs.