• Journal of Digital Convergence
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• v.15 no.2
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• pp.115-120
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• 2017

Online reputation systems for social network services(SNS) aggregate users' feedback and estimate the reputation of contents or providers. The aim of this research is to enhance credibility of the online reputation system on the SNS based e-Commerce(we called it as social commerce). SNS users usually refer to evaluations from other users who bought the products before. Most social commerce sites provide reputation system to help their customer make a decision, but sometimes we can't believe the reputation because the reputation is too subjective and the seller can deceive the customer for sales promotion. Threrefore, we usually use just the average value to show the general customer's evaluation result. We applied collaborative filtering method to give more weighting to the users who have evaluated correctly in the past. As a result, we could get more accurate evaluation results by considering each customers' credibility value that was computed by collaborative filtering.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.125-134
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• 2012

As the social networking service (SNS), Facebook, and Cyworld, is developing, the social network game and social business commerce based on this service is activated. Especially, the Social Network Game (SNG) is getting explosive interests and it becomes popular, because it is small scale and user can enjoy the game among close friends. The market for this game is getting larger every year, but still it has some limitations in developing the game. Especially, the current game engine is aiming for developing online or console game, and there is no exclusive game engine for developing SNG. Therefore, it takes lots of time for developing SNG with this game engine. In this paper, we described a design and development of the game engine optimized for developing SNG, which not only adapts the main characteristics of the previous game engine, but also considers the specific characteristics of the SNG. The engine also supports map for the simulation game that is the most popular game in SNG, and also provides modules and tools for developing character animation easily. The evaluation standard for the performance of the game engine is the output generation speed of image, text and character. And the results showed reasonable output speed for developing the SNG in generation of image, text, and character.

• Information Systems Review
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• v.16 no.1
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• pp.1-15
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• 2014

Despite the sizable growth of the group buying market, consumer complaints have recently raised skepticism about the future of these sites. Thus, building a trustworthy transaction environment has become a critical issue. In exploring a trust-building mechanism, we pay particular attention to the role of merchandisers who specialize in finding products or services and marketing them to potential buyers on group buying sites. The purpose of this study is to examine whether providing merchandiser feedback comments and performance profiles on group buying sites leads consumers to evaluate the community of merchandisers more favorably and makes them more likely to purchase products or services. Research hypotheses were tested with data obtained from 124 subjects who participated in a laboratory experiment. The results empirically demonstrate that merchandiser feedback comments and performance profiles enhance buyers' trust in the community of merchandisers participating in a group buying site. This enhanced trust, in turn, increased buyers' intention to purchase products or services through the group buying site.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.71-86
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• 2013

This research explores the question how interactions between customer and firm affect firm growth. To test suggested hypotheses, this study collects data on social commerce industry in Korea during the period from the beginning of social commerce industry in Korea, May 2010, to March 2012, and investigates the effect of social media on the growth of social commerce firms. We suggest two hypotheses in this study. First, as web traffic inflow through social media into a focal social commerce increases, the growth rate of the focal social commerce increases. Second, the more diverse social media channel through which web traffic inflows into a focal social commerce, the weaker the positive effect of web traffic inflow on the growth rate of the focal social commerce. Analysis of data shows that inflow through social media is positively related to the growth of social commerce. In addition, our analysis shows that inflow channel diversity weakens the positive relationship between web traffic inflow through social media and growth rate of social commerce firms. These results suggest that firms need to concentrate on few social media in order to attract customers. The study contributes to understanding how interaction between firms and customers influences the growth of the firm.

• The Journal of Information Systems
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• v.24 no.2
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• pp.1-22
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• 2015

Purpose This study identified the factors influencing on the continuous purchase of social commerce and analyzed the proposed model empirically using structural model. Design/methodology/approach Five independent factors such as economic benefit, social pressure, personal innovativeness, security and reputation and two mediating factors such as value perception and trust were extracted and relationships were explored. This study was carried out through customer survey and statistical analysis on the survey. Findings The result showed that three independent variables such as economic benefit, social pressure and security significantly affected on value perception and trust. Moreover, personal innovativeness and reputation did not have significant influence on customer purchase intention showing different result from the cases of traditional electronic commerce. The results of this study are meaningful in that factors affecting customer purchase intention in social commerce were identified from comprehensive perspective and the importance of customer profit and social influence was verified through empirical study in social commerce.

• The Journal of Information Systems
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• v.21 no.2
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• pp.135-160
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• 2012

In this paper, we identified the factors influencing on the continuous use intention of social commerce and analyzed the proposed model empirically using structural equation model, which was developed by considering hedonic and utilitarian shopping value, trust, satisfaction, familiarity, social influence, and perceived price. We collected data for this study by surveying the consumers who had an experience of purchasing through social commerce. An analysis of 212 respondents indicated that utilitarian and hedonic shopping value influenced on satisfaction as both of shopping value are significant statistically. Social commerce gives more attraction their consumers by reducing the price to half, whereas they are expected to present playfulness of shopping. Familiarity, social influence, and perceived price are influential factors in a purchase of social commerce sites. We discuss the implications of our findings for both theory and practice.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.73-93
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• 2013

This paper is a research on perceived risk of social commerce which has influence on purchase intention. This study uses a 3-dimension concept of perceived risk and then, deals with influencing a purchase intention. In addition, to search other influential variable to purchase intention, this study adds a variable with expected moderating effect. This study proposes several hypothesis and processes an experiment to test and attest these hypothesis. This study attempts to analyze the effect that perceived risk in social commerce has on purchase intention. By the results of data analysis, all dimensions of perceived risk are found to have significant negative effects on purchase intention. In addition, this study proves moderating roles of valence of WOM Information on purchase intention. Additional managerial implications are also discussed.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.633-635
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• 2018

최근 소셜 커머스 데이터를 이용하여 상품에 대한 소비자들의 수요와 선호도 등을 조사하는 등의 감성분석 연구가 활발히 진행되고 있다. 본 연구에서는 Stacked Bi-LSTM-CRF 모델을 이용하여 한국어의 복합적인 형태로 이루어지는 감성표현에 대하여 어휘단위로 감성분석을 진행하고, 상품의 세부주제(특징, 관심키워드 등)를 추출하여 세부주제별 감성 분석을 할 수 있는 방법을 제안한다.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.4
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• pp.848-862
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• 2013

This study shows how social presence(SP) dimensions influence online consumer's behavior in the social commerce(SC) context. It is expected that the results could be utilized in the development of SC websites. According to the results, the awareness and cognitive SP dimensions affected consumer trust, but affective SP did not. And then consumer trust toward SC websites as a belief affected attitude and intention of consumer. Thus, it was re-confirmed that a consecutive influential relationship in the theory of reasoned action, i.e., "belief-attitude-intention", was significant in SC context as well. Finally, it is required as a future research how to implement the awareness and cognitive SP dimensions in the SC websites.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.871-872
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• 2013

최근 스마트폰의 급속한 보급에 따라 트위터, 페이스북과 같은 실시간 SNS(Social Network Service)가 폭발적으로 성장하고 있다. 본래 SNS는 지인과의 소통을 위한 온라인 커뮤니티로 출발했으나 지금은 새로운 커뮤니케이션으로 마케팅, 미디어, 커머스 등 다양한 영역의 플랫폼으로 진화하며, 그 파급력을 이어가고 있다. SNS, 소셜 미디어 시대를 맞이하여 소비자가 수동적 입장에서 능동적 입장으로 변경되고 있는 상황에서 블로그, 카페, 트위터 등 에서의 평가를 통한 고객 피드백 정보에 따라 서비스 제공자의 판매율이 많은 영향을 받고 있다. 따라서 효율적인 기업경영을 위해서는 SNS 등을 통한 고객의 목소리를 분석하는 작업과 그것을 기반으로 고객만족도 평가모형에 대한 연구가 필요하다. 본 논문에서는 이러한 SNS를 이용한 활용분야에 대해서 고찰해 보고 SNS가 점차 확대됨에 따라 발생할 수 있는 SNS 환경에서의 역기능은 어떤 것이 있는지 살펴보고 대응방안을 제안한다.