• Journal of Digital Convergence
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• v.12 no.3
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• pp.161-176
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• 2014

Social commerce is a new internet business model which are types of joint purchase, social link, promotion, and on-off association etc. The recent public organization has the dual target to increase sound finance, and to improve customer satisfaction and the quality of public service. The purpose of this study is to propose the strategy of public social commerce which makes it's customers become positive purchasers. We analyzed 31 public organizations, and found that the type of social link interlocking with SNS site in the various purpose of public, and the offline association type using the service of location base would be utilized very highly. We also found that the joint purchase type and the promotion type would be used in the area of public and private selective services intending to make a profit. The anticipated performance are as follows: rapidity and reliance, customer made thing and goodwill, convenience for the service environment quality, publicity and diffusion, and sales promotion, productivity increase and new finding of revenue model for the profit increase outcome.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.441-443
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• 2015

SCS(Social Curation Service)is a service system to help sale and consumption with intelligent information about consumer's favor which is got from the combination of social service and internet shopping mall. This paper develops and analyzes some algorithms for catching the customer's preference tendency in SCS system. The developed algorithms are implemented to verify it's efficiency.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1088-1091
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• 2011

최근 대중화된 무선 유비쿼터스 환경으로 출퇴근, 점심시간, 여가 시간 등 자투리 시간을 활용하여 소셜 네트워크, 게임, 동영상 시청, 쇼핑, 학습, 필요한 정보 등 다양한 콘텐츠들을 모바일기기를 이용하여 즐기는 사용자가 급증하고 있다. 본 논문은 모바일 환경에서의 수열 문제 풀이에 대한 학습 효과를 검증하기 위해 여러 종류의 수열 문제들로 구성된 기능성 게임을 아이폰과 안드로이드 기반으로 설계 및 구현하였다. 또한 저장된 수열 게임 이용자의 기록 데이터베이스 내용을 대상으로 사용자들의 분포와 이에 따른 학습 효과를 분석하였다.

• Information Systems Review
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• v.20 no.2
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• pp.63-85
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• 2018

Emerging hotspot and trendy areas are formed into alleys and blocks with the help of viral effects among social network services (SNS) users called "Golmogleo." These users search for every corner of the alleys to share and promote their own favorite places through SNS. An analysis of hot places is limited if it is only based on macroeconomic indicators such as commercial area data published by national organizations, large-scale visiting facilities, and commuter figures. Careful analyses based on consumers' actual activities are needed. This study develops a "social big data analysis methodology" using Instagram data, which is one of the most popular SNSs suitable to identify recent consumer trends. We build a spatial analysis model using Local Moran's I. Results show that our model identifies new trend zones on the basis of posting data in Instagram, which are not included in the commercial information prepared by national organizations. The proposed analysis methodology enables better identification of the latest trend areas formulated by SNS user activities. It also provides practical information for start-ups, small business owners, and alley merchants for marketing purposes. This analytical methodology can be applied to future studies on social big data analysis.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.9
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• pp.259-266
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• 2020

In this paper, we propose a novel scheme for product effect analysis, termed PEM, to find out the effectiveness of products used for improving the current condition, such as health supplements and cosmetics, by utilizing online customer reviews. The proposed technique preprocesses online customer reviews to remove advertisements automatically, constructs the word dictionary composed of symptoms, effects, increases, and decreases, and measures products' effects from online customer reviews. Using Naver Shopping Review datasets collected through crawling, we evaluated the performance of PEM compared to those of two methods using traditional sentiment dictionary and an RNN model, respectively. Our experimental results shows that the proposed technique outperforms the other two methods. In addition, by applying the proposed technique to the online customer reviews of atopic dermatitis and acne, effective treatments for them were found appeared on online social media. The proposed product effect analysis technique presented in this paper can be applied to various products and social media because it can score the effect of products from reviews of various media including blogs.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1323-1332
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• 2018

The purpose of this study is to analyze the level of Media Information Literacy of international students in K-university, who attend the courses in which the classes are delivered only in English. A survey was carried out to find out the level of media information literacy. In order to verify the validity and reliability of the measurement result gathered from the responses, an item analysis was carried out with SPSS21.0, a statistics analysis software, and the diversity of utilizing media information literacy was also measured according to the factors of each analysand group. The analysis result gathered through ${\chi}^2-test$, a frequency analysis tool, shows that international students use domestic media information literacy mainly for daily life activities such as the internet shopping and the bank transaction.

• Journal of the Korean Society of Costume
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• v.62 no.8
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• pp.134-148
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• 2012

Social commerce is not only a new form of shopping malls that did not exist in the past, but also a new form of media as it gets combined with social networking services. The purpose of this study is to analyze the influence of clothing involvement on the relationship between shopping values, attitudes, and purchase intentions of consumers in the group-buying type of social commerce. A specialized Internet survey company carried out the survey targeting consumers in their 20s and 30s with experience of purchasing fashion products using group-buying type of social commerce. A total of 200 questionnaires were used for the final analysis. Descriptive statistics, factor analysis, t-test, and regression analysis were conducted by using SPSS 12.0 and AMOS 19.0. The results are as follows. First, diversity/informativeness, impulse/accumulation, price, convenience, reliability, interaction, and adventure were identified as shopping value dimensions. Second, especially in cases of diversity/informativeness, price, and interaction, there were significant differences between the high involvement group and the low involvement group. Third, five of the categories, which were diversity/informativeness, price, convenience, reliability, and interaction, had significant influence on attitude and purchase intention. When the attitude variable was included with shopping value as independent variables in the regression model to predict purchase intention, the attitude variable presented a full mediating effect or a partial mediating effect between shopping value and purchase intention. Also, the relationship among shopping value, attitude, and purchase intention was different to some degree according to the level of consumer clothing involvement.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1153-1158
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• 2018

Online customer evaluations and social media information among a variety of information sources are critical for businesses as it influences the customer's decision making. There are limitations on the time and money that the survey will ask to identify a variety of customers' needs and complaints. The customer review data at online shopping malls provide the ideal data sources for analyzing customer sentiment about their products. In this study, we collected product reviews data on the smartphone of Samsung and Apple from Amazon. We applied five classification algorithms which are used as representative sentiment analysis techniques in previous studies. The five algorithms are based on support vector machines, bagging, random forest, classification or regression tree and maximum entropy. In this study, we proposed entropy score which can comprehensively evaluate the performance of classification algorithm. As a result of evaluating five algorithms using an entropy score, the SVMs algorithm's entropy score was ranked highest.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.133-144
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• 2014

As the Internet and smartphones prevail, this study investigated the purchasing factors of a new beauty marketing method, the social commerce, and verified the relationship of such purchasing factors to consumer satisfaction and repurchasing intentions. In order to verify the validity of purchasing factors, five sub-factors, such as service, price, interaction, convenience, and interest were classified, while consumer satisfaction and repurchasing intentions are grouped into one factor, using data about 20-39 years old. According to results of this study, purchasing factors in the beauty service markets through social commerce that had effects on the consumer satisfaction were price, service, convenience, and interest, but no relationship was found with interaction. We can predict that consumers buy not based on community activities among buyers or purchasing comments of others, but rather his/her own subjective thoughts and opinions about the services. As the result of repurchasing intention according to purchasing factors, affecting sub-factors were price, service, and convenience. Repurchasing intention is an positive response that reflects satisfactions. Since low price, satisfaction on the service, and convenience for busy modern people should be met, repurchasing intentions are not affected by interest, but rather systematic and professional service. Also, higher satisfaction on service raises repurchasing intention. In this study, it is clear that not only purchasing factors through social-commerce effect the satisfaction and the repurchasing intention, but also consumer satisfaction mediates partly purchasing factors and the repurchasing intention. And as sub-factors of purchasing factors, price, service, or convenience are more important to the consumer satisfaction than community or replies activities. Thus differentiated and professional customer service, the establishment and enhancement of trendy marketing should improve long term repurchasing intentions. This will lead to the increasing revenue of personal-shop and the developments of beauty markets, so strengthening product sourcing and promotion suitable for mobile shoppers are essential.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.114-127
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• 2016

The study, focused on social commerce food service consumers, attempted to test the relationship between perceived risk and price consciousness, and suggested that perceived risk and price consciousness, the the degree to which price is considered when purchasing goods, affect reuse intention. Through such test results, the study aimed to provide useful practical implications for establishing marketing strategies of companies related to food service social commerce, and those looking into behavioral intentions of social commerce using food service consumers. The subjects of the study were male and female residents of Korea over 2-years of age who have had some experience purchasing a dining out item through social commerce. The social commerce company selected for sampling was Coupang, which was the number 1 shopping App in 2014 based on the number of yearly visitors. A questionnaire-based survey was conducted on respondents who had indicated that they had experience purchasing foodservice goods through Coupang. The results revealed that source risk, privacy risk, psychological risk, and time-loss risk had negative influences on reuse intention. However, social risk and financial risk did not exhibit any influences. Price consciousness had positive influences on reuse intention. The study explored perceived risk and price consciousness as elements to affect continuous use of social commerce of foodservice consumers.