• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.61-71
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• 2014

Recently social shopping, combining e-Commerce with Social Network Service, become a brand-new eBusiness model. In this paper, we aim to identify the structural relationship of the factors affecting the intention of using social shopping. Reviewing the previous works of social shopping, internet shopping and TAM (Technology Acceptance Model), we extract factors affecting the intention of using social shopping and build a structural research model among these factors. To analyze the structural relationship among theses factors, we perform an empirical study - gathering data from a survey and analyzing gathered data using EFA (Exploratory Factor Analysis) and SEM (Structural Equation Model) to identify the structural relationship. We also analyze moderating effect of past experience of social shopping and gender. As a result, We also can find that two factors - Perceived usefulness and Expected enjoyment - are the key factors influencing acceptance of social shopping and that more segmented strategies are required to attract customers since factors affecting Intention to use are somewhat different according to past experience and gender of respondents.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.366-369
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• 2008

현재 우리나라의 오픈마켓은 저가 구조로 수익과 성장에 한계를 맞고 있지만 이미 외국에서는 소셜 네트워크를 중심으로 소셜 쇼핑이 소비자 주도의 쇼핑몰로 인기를 얻고 있으며 새로운 쇼핑몰 형태로 각광받고 있다. 소셜쇼핑은 블로그나 커뮤니티와 같은 사회적 네트워킹 서비스를 기반으로 어떤 특정 인터넷 쇼핑몰에 구애됨 없이 다양한 상품을 각 개인이 퍼 오거나 게시하고 이에 대한 상품평과 사용후기를 개인 블로그나 커뮤니티에 올리거나 올리게 하여 거래가 일어나도록 하는 전자상거래 방식이다. 소셜 쇼핑은 사람/정보/쇼핑 검색이 가능하고 블로그나 커뮤니티를 통한 정보 공유가 가능하며 타 판매 사이트로부터 쇼핑 구매도 가능하다. 소셜 쇼핑은 또 하나의 플랫폼을 제공하며 다양한 판매자, 소비자, 광고주 등과 제휴가 가능하고 네트워킹이 가능하기 때문에 변화하는 소비자들의 특성을 반영하고 수익의 한계를 돌파하기 위한 진정한 web 2.0 쇼핑형태로써 발전 가능성이 크다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2048-2061
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• 2014

This paper redefines the concept of social shopping as the part of social commerce and identifies the significant factors to the customer satisfaction and repurchase intention for the social shopping using the factor analysis based on the selected elements from the previous research results. Structural equation modeling(SEM) result shows that 3 significant factors to the customer satisfaction are price, convenience of web site use and fun. But Security, reliability, diversity did not affect significantly satisfactorily. From the resulting factors to the customer satisfaction, users of social shopping seems to be satisfied with site entertainment like looking around and comparison shopping. The main purpose of visiting social shopping sites is considered as not only purchase of goods or services but also entertainment in the community and cyberspace. The results of this study, it provides an indication of the aspects of marketing that can be used in social shopping practice.

• Management & Information Systems Review
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• v.30 no.3
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• pp.153-167
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• 2011

This study conducts to examine the effect of purchase intention on social shopping by connection density and centrality which is a structural characteristic of social network. Furthermore, this study suggests and analyses the difference of social shopping purchase intention between online community which focuses on a group and SNS(social network service) which focuses on an individual. To examine these reason, this study proposes hypotheses that reflects structural characteristic then analyses them. The result of analysis shows that the purchase intention on social shopping seems to be high when the density of connection is high and the purchase intention seems to be high when the centrality is high as well. Moreover, there is difference in the purchase intention on social shopping between online community and SNS and it is found that both cases where the connection density is high in the online community and the connection centrality is high in SNS have significant impact on the purchase intention. Based on these results, this study provides an implication on the importance on network structure in social network and social shopping and to increase the purchase intention of social shopping, this study suggests the implication on the importance and direction which understands the structure of social network type.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.89-98
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• 2018

The emergence of the mobile commerce market as a new megatrend, mobile shopping is becoming an important distribution channel in the domestic online shopping market. The purpose of this study is to classify shopping values perceived by mobile social commerce users into a utilitarian value and a hedonic value explained and to empirically examine the effects of social commerce characteristics on the purchase intention and shopping values in mobile social commerce. conclusion, this implies that site providers and sellers need to try to supply cheaper and more economical products than those offline and provide the most effective and optimum information and service so sellers and consumers can exchange messages with each other and create meanings.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.304-306
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• 2012

최근 들어 온라인 쇼핑몰과 SNS(Social Network Service)가 결합한 새로운 쇼핑방식인 소셜쇼핑(social shopping)과 소셜커머스(social commerce)가 핫이슈가 되었다. 소셜커머스는 이전에 존재하지 않던 수요를 창출해 낼 수 있다는 점에서 공동구매와는 전혀 다른 새로운 상거래방식이다. 소셜커머스는 50% 이상의 가격할인율과 특정 거래조건(품목, 거래가능 시간, 사용기간, 물량 등)의 제약을 통해 관심의 경제(economy of attention)를 극대화한 수익모델이라 할 수 있다. 본 연구에서는 소셜커머스에서 가격할인과 소비자들의 제품에 대한 지각된 위험은 충동구매에 어떤 영향을 미치는지에 대해서 검토하고자 하였다.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.96-104
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• 2020

As consumers' consumption activities become more active due to the activation of online shopping malls, companies are conducting item trend analyses to boost sales. The existing item trend analysis methods are analyzed by considering only the activities of users in online shopping mall services, making it difficult to identify trends for new items without purchasing history. In this paper, we propose a trend analysis method that combines data in online shopping mall services and social network data to analyze item trends in users and potential customers in shopping malls. The proposed method uses the user's activity logs for in-service data and utilizes hot topics through word set extraction from social network data set to reflect potential users' interests. Finally, the item trend change is detected over time by utilizing the item index and the number of mentions in the social network. We show the superiority of the proposed method through performance evaluations using social network data.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.352-360
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• 2014

This study is based on the results from the previous one. It proved that perceived usefulness, perceived ease of use, perceived service quality, perceived risk are the independent variables. Research model and hypotheses by using the use intention and recommended intention as the dependent variable. The results were as follows: First, perceived usefulness and perceived service quality have positive effects on use intention and recommended intention. Second, perceived risk has negative effects on use intention and recommended intention. Third, the perceived ease of use has positive effect on use intention in Social Commerce, in contrast, it has no significant effect on use intention in Online Shopping. The results of this study presented the proposal for operators at social commerce area.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.337-343
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• 2022

This study attempted to find out whether there is a difference between social commerce and TV home shopping in the relationship between the purchasing decision factors and the purchasing intention of accommodation product buyers. A survey was conducted for 20 days from March 7 to March 26, 2022, and 205 copies were used for empirical analysis. As a result of the analysis, the purchasing determinants were divided into four factors: reliability, playability, convenience, and economy. As a result of the analysis, it was found that the purchase determinants influenced the purchase intention in the order of playability, reliability, economy, and convenience, while social commerce had the greatest influence on playfulness and home shopping. Social commerce is considered to be important in terms of persuasion based on the product information provided, and consideration of how lively and enjoyable home shopping creates broadcasting videos.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1387-1392
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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.