• Title/Summary/Keyword: SNS 소비자

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A Comparative Study on Attribute Recognition and Word of Mouth Intention of SNS Advertising - Focused on Facebook, Instagram, KaKaoStory and Twitter (SNS 광고의 속성인식과 구전의도 비교연구 - 페이스북, 인스타그램, 카카오스토리, 트위터를 중심으로)

  • Jeong, Chang Jun
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.2
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    • pp.419-428
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    • 2020
  • SNS media is gaining its media share with the benefits of digital technology, such as the convenience of physical access and the entertainment and interactivity of contents, and are becoming a part of users' lives. As media contents consumers move from traditional media to SNS, marketing communication activities are rapidly adapting to leading SNS platforms such as Facebook. This study compares how users perceive four advertisement attributes in each SNS, focusing on Facebook, Instagram, Kakao Story, and Twitter, where the media content creation and consumption systems are relatively similar to each other. The impact on eWOM intention was identified. In addition, we discussed effective SNS operation.

SNS data based regional trend analysis (SNS 데이터 기반 지역 트렌드 분석)

  • Cho, Jae-hyeon;Moon, Nam-me
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.403-405
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    • 2018
  • 도시 속 상업 공간에서는 공간적 위치에 따른 지리적 이점이나 판매하는 상품뿐만 아니라, 해당 공간 속에서 소비자가 느낄 수 있는 문화와 감성이 소비자가 소비를 유하게 하는 중요한 요소가 되기도 한다. ICT 서비스 환경이 자리를 잡아 감과 동시에 제4차 산업 혁명이 도래하고 있는 현대 정보화 환경 속에서 소비자들은 자신의 심리나 감성, 정서에 들어맞는 공간에 방문하며 소비하고 SNS를 통해 공유한다. SNS는 Social Network Service의 줄임말로 너무나 일반적으로 우리 일상에 들어와 있는 개념이다. SNS의 시작은 마케팅의 한 분야로 시작된 것으로 판단된다. SNS를 이용한 홍보마케팅은 21세기에 접어들면서 고객들의 주관적인 개개인의 욕구 충족과 감성을 중시하게 됨으로써 예전보다 더 복합적이며 정교해졌다. 본 연구는 SNS 데이터를 블로그, 카페, 페이스북, 인스타그램에서 지역 명칭을 키워드로 1년간 콘텐츠를 크롤링하며, 형태소 분석기를 통해 학습할 수 있도록 데이터 전처리 작업을 한다. 마지막으로 딥러닝 알고리즘인 RNN 중 LSTM을 사용하여 감성 분석 학습 모델을 만들어서 지역별 콘텐츠의 주요분야, 긍/부정을 판별한다. 이렇게 분석한 데이터를 이용해 각 지역만의 특색과 인기 분야, 비인기 분야, 더 나아가 유망한 분야를 알아본다.

Analysis of Outdoor Wear Consumer Characteristics and Leading Outdoor Wear Brands Using SNS Social Big Data (SNS 소셜 빅데이터를 통한 아웃도어 의류 소비자 특성과 주요 아웃도어 의류 브랜드 현황 분석)

  • Jung, Hye Jung;Oh, Kyung Wha
    • Fashion & Textile Research Journal
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    • v.18 no.1
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    • pp.48-62
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    • 2016
  • Consumers have come to demand high quality, affordable prices, and innovative product designs of the outdoor wear market due to their well-being and leisure oriented lifestyle. A new system of business in outdoor wear has emerged in the process through which corporations have endeavored to satisfy such consumer needs. Outdoor wear brands have utilized social network services (SNS) such as Facebook and Twitter as means of marketing and have built close relations with consumers based on communication through these media. Recently, explosively escalating SNS data are referred to as social big data, and now that every consumer online is a commentator, reviewer, and publisher, the outdoor wear market and all of its brands have to stop talking and start listening to how they are perceived. Therefore, this study employs Social $Metrics^{TM}$, a social big data analysis solution by Daumsoft, Inc., to verify changes in the allusions related to outdoor wear market found on SNS. This study aims to identify changes in consumer perceptions of outdoor wear based on changes in outdoor wear search words and trends in positive and negative public opinion found in SNS social big data. In addition, products of interest, the major brands mentioned, the attributes taken into consideration during purchases of products, and consumers' psychology were categorized and analyzed by means of keywords related to outdoor wear brands found on SNS. The results of this study will provide fundamental resources for outdoor wear brands' market entry and brand strategy implementation in the future.

Preference of Women Cosmetics Consumption Value on SNS Features of Cosmetics Brands (여성의 화장품 소비가치에 따른 화장품 브랜드의 SNS 특성 선호도)

  • Kim, Cho-Rong;Kwak, Tai-Gi
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.3
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    • pp.99-111
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    • 2016
  • In order to use cosmetics brands SNS effectively and establish strategy, the purpose of this study is to provide consumer date. According to cosmetics consumption value groups, this study examined each cosmetics consumption value group's level of concern of three cosmetics brands SNS features, informativity, enjoyment and interactivity. For the data, questionnaire was collected by 198 women, and the data were measured by ANOVA, factor analysis, cluster analysis and Ducan test. According to cluster analysis cosmetics consumption value groups were divided into four groups, unconcern group, hedonic value pursuit group, function of brand value pursuit group, high concern group. The results of the study are as follows: First, high concern group thought highly of all cosmetics brands SNS features, including informativity, enjoyment and interactivity. In addition all consumer groups were concerned informativity rather then enjoyment and interactivity. Second, comparing with high concern group, other groups which include unconcern group, hedonic value pursuit group and function of brand value pursuit group were not concerned about cosmetics brands SNS features' enjoyment and interactivity. Except informativity, hedonic value pursuit group and unconcern group were more concerned interactivity than enjoyment. While, high concern group and function of brand value pursuit group were more concerned enjoyment than interactivity.

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A Study on the Effects of SNS Information Characteristics and SNS Site Characteristics on the Intention to Visit a Restaurant (SNS 정보특성과 사이트특성이 이용자의 외식업체 방문의도에 미치는 영향 연구)

  • Jung, Seon Mi;Kim, Young Hun
    • Culinary science and hospitality research
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    • v.21 no.1
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    • pp.159-173
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    • 2015
  • This study performed to examine the effects of the characteristics of SNS information, SNS site, and perceived usefulness of information on the visiting intention of SNS user in context of restaurant. Customers use SNS for navigation to find useful information and confirm the information about the destination they would like to visit. To achieve purpose of the current study, we developed a research model based on theoretical backgrounds and conducted a questionnaire survey targeting who is using SNS for searching a useful information. The results were as follow. 1) SNS information reliability, neutrality and amusement had a positive effect on the perceived usefulness of the information. 2) SNS site interaction, usage simplicity and reliability had a positive influence on the perceived usefulness of the information. 3) SNS user's perceived usefulness of the information had a positive effect on the perceived usefulness of the information.

Analysis of Consumer Purchase Factors through Online Marketing of Convenience Store PB Products (편의점 PB상품의 온라인 마케팅을 통한 소비자 구매 요인 분석)

  • Park, Jung-Hoon;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.18 no.5
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    • pp.399-404
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    • 2020
  • The purpose of this study is to find out the consumer's purchasing behavior and its factors when a convenience store brand is marketing new PB products online. For this study, we surveyed 2030 millennials about the purchase behavior of convenience store PB products and the paths to encounter PB products. As a result, consumers who purchase convenience store PB products were exposed to the product through SNS or YouTube, and they tended to join the trend by posting on SNS after purchase. In this study, we want to examine the consumption trends of millennials that have this type of consumption and the concept of online marketing that affects them. It is hoped that future consumer purchases will continue to be valuable consumption rather than relying on trends.

Formulating Strategies from Consumer Opinion Analysis on AI Kids Phone using Text Mining (AI 키즈폰의 소비자리뷰 분석을 통한 제품개선 전략에 대한 연구)

  • Kim, Dohun;Cha, Kyungjin
    • The Journal of Society for e-Business Studies
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    • v.24 no.2
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    • pp.71-89
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    • 2019
  • In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.

A Study on the Effect of the Interaction and Flow of Consumers within the Company SNS on the Consumers' Affection (기업 SNS 내 소비자의 상호작용과 몰입이 소비자의 애착에 미치는 영향에 관한 연구)

  • Kim, Han-Joo
    • Management & Information Systems Review
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    • v.34 no.3
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    • pp.231-250
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    • 2015
  • This study is about the effect of interaction and flow of consumers within the company SNS on the consumers' affection. Verification took place through empirical analysis based on the theoretical background. The following is the summary of the research results generated based on the research results. First, correlation between aspect of the motivation for the use of contents and interactivity is as follows. Mutual sense of solidarity (Hypothesis 1-1), influence (Hypothesis 1-2), connectivity (Hypothesis 1-3) and reactivity (Hypothesis 1-4) exerted positive(+) on the interaction. Second, correlation between aspect of the motivation for the use of contents and flow is as follows. Mutual sense of solidarity (Hypothesis 2-1), influence (Hypothesis 2-2) and connectivity (Hypothesis 2-3) exerted positive(+) effect on immersion. Meanwhile, reactivity (Hypothesis 1-4) was not statistically significant when it comes to flow. Third, interaction between contents characteristics and interaction exerted positive(+) positive on the interactivity of entertainingness (Hypothesis 3-1) and informativity (Hypothesis 3-2). Fourth, correlation between contents characteristics and flow was examined, which demonstrated that only informativity (Hypothesis 4-2) exerted positive(+) effect on the immersion. Meanwhile, entertainingness was not statistically significant when it comes to the immersion. Lastly, correlation between interaction, flow and affection is as follows. Correlation between interactivity and flow(Hypothesis 5) was not statistically significant while interactivity(Hypothesis 6) and Flow(Hypothesis 7) exerted positive(+) effect on the affection. This study presents diverse implications and significances to the working level people who use the company SNS based on these results.

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The Influence of Social Supports on Intention to Use of Brands' SNS Page (사회적 지원기능이 브랜드 개설 SNS 페이지 소비자 수용에 미치는 영향에 관한 연구)

  • Lee, Yoon-Jae;Lee, Jeong-Hoon
    • Journal of Information Technology Applications and Management
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    • v.22 no.1
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    • pp.17-36
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    • 2015
  • Many companies are now trying to utilize SNS (social network service) by building it as marketing communication platform that delivers marketing messages and builds customer relationship. This study investigates the factors affecting consumers' intention to use of brand's SNS identity page (e.g., fan page in Facebook). It specifically focuses on four social support functions -self-esteem, informational, emotional and social networking support-in virtual space. Research model attempts to explore the impact of social supports on brands' SNS identity page adoption with modified technology acceptance model which includes perceived usefulness, ease of use and enjoyment. Empirical study adopts SEM (structural equation modelling) to test research model. The result indicates that perceived ease of use is influenced by informational support, and perceived usefulness is influenced by informational, emotional, and self-esteem support. And perceived enjoyment is influenced by emotional support. In addition, it reveals that there were no significant effects of social networking support on both perceived usefulness and enjoyment. These findings provide managerial implications for attracting potential and actual customers to brand's SNS identity page. And it also suggests the importance of managing sociability in brand's SNS identity page to make it as marketing communication platform.

Functional Cosmetics Trend Analysis System Using SNS Big Data For The Girls High School Students (여고생들의 SNS 자료를 이용한 기능성 화장품 기호분석시스템)

  • Seo, Jeong Min;Song, Jeo;Lee, Chae Ri;Lee, Sang Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.01a
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    • pp.99-101
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    • 2013
  • 본 논문에서는 사춘기 여고생들의 기능성 화장품의 신상품 개발과 성능 향상을 위한 효율적인 정보의 분석과 생산 정책을 위한 SNS 분석시스템을 제안한다. 제안하는 시스템은 여고생들의 기능성 화장품에 관한 SNS 내용을 분석하기 위한 효율적 알고리즘과 방법론을 제안하여 시스템의 처리량을 최대화하고, 각 작업의 수행시간을 최소화한다. 또한 여고생들의 기능성 화장품에 대한 기호 상태를 파악하여, 그 분석 결과를 제품의 개발 및 생산에 반영하기 위한 비주얼 방법론을 함께 제안한다. 따라서 본 논문에서 제안하는 시스템은 단지 화장품에 대한 분석뿐만 아니라 이와 비슷한 소비자의 기호가 빠르게 변화하는 제조업 분야에서 다양하게 응용이 가능하다.

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