• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.443-454
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• 2019

The purpose of this research is to verify the sellers' preference of online shopping platform and simple payment service among the Korean domestic online shopping platforms and analyze which factors they consider depending upon their preferred platform and service. The result of this study shows that the reputation, ease of payment, and ease to navigate of online shopping platform should be considered seriously in choosing the online shopping platform. Also, the usability, ease of payment and service fee of simple payment service are influencing factors to select simple payment service for sellers. Meanwhile, the result confirms that the degree of reputation, ease to navigate, service fee, and ease of payment differs on each selected online shopping platform. Also, the degree of usability and security in simple payment service is different between each chosen simple payment services.

• Journal of Broadcast Engineering
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• v.25 no.2
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• pp.218-232
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• 2020

Data home shopping is a kind of T-commerce service with traditional TV home shopping, product DB of data broadcasting, and advantages of catalog shopping based on data broadcasting technology. Since the data home shopping service was partially started in 2012, there were no in-depth researches regarding the perception of data home shopping. Therefore in this paper, the traditional TV home shopping and data home shopping is analyzed how the perception is in terms of platform quality, service quality and content quality and what the difference in perception is. To verify this, a questionnaire survey was conducted on TV home shopping and data home shopping 140 workers who have good understanding of data home shopping. The results showed that the difference of platform quality, service quality and content quality between TV home shopping and data home shopping was significant and TV home shopping had better quality. In terms of platform quality, TV home shopping was 3.75 on a five-point scale and data home shopping was 2.93. Service quality was significantly different between TV home shopping (3.60) and data home shopping (3.25). For the quality of contents, TV home shopping had better quality as 3.21 while data home shopping was 2.82. There was no interaction effect in gender, age, position, and work field except between the age and platform quality.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.49-53
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• 2018

ICT 기술의 발전과 금융기술의 진보로 온라인 쇼핑으로 대표되는 전자상거래는 점점 더 대중화되고 있다. PC나 모바일기기로 빠르고 손쉽게 물건을 구매할 수 있어 온라인 쇼핑은 많은 사람에게 일상이 되었다. 특히 온라인 쇼핑은 임대료, 각종 공과금, 인건비, 재고 확보 등으로 높은 초기비용이 필요한 일반 오프라인 쇼핑에 비해 낮은 진입장벽을 가지고 있어 많은 창업가들이 관심을 두고 있다. 이에 본 연구에서는 가장 보편적 온라인 쇼핑 창업 형태인 플랫폼 기반 창업을 통해 국내 온라인 창업 시장에 대해 전반적으로 알아보고자 한다. 특히 국내 최대 온라인 쇼핑 플랫폼인 네이버 스마트스토어의 판매자를 예로 살펴보면서 기존에 많이 연구되었던 소비자 입장에서의 온라인 쇼핑이 아닌 창업자 즉 판매자 입장에서 온라인 쇼핑을 분석함으로써 국내 온라인 쇼핑 창업의 양성에 필요한 정책적 지원에 관하여 시사점을 도출하고자 한다.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.127-147
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• 2018

The purpose of this study is to investigate the influence of service quality factors and related ties on the repurchase intention of home shopping products and application home shopping through smart media using relation bonding according to the platform. In this study, it was confirmed that the relationship between home shopping and home shopping follows the process of establishing brand equity by mediating or partially mediating the influence relationship between specific service quality factor and repurchase intention. At this time, the mediating effect of the relationship tying is different according to the home shopping platform, but the relation of the TV + application group to the use of TV home shopping has no mediating effect. Also, according to users' usual media usage habits, service quality factors for home shopping have different influence relations on repurchase intention through relationship binding.

• The Research Journal of the Costume Culture
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• v.31 no.3
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• pp.310-329
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• 2023

To compete with the growth of fashion shopping platforms in the online fashion market, general shopping platforms have begun to expand their product categories to include fashion items. This research examines the characteristics that influence consumers' trust in each of these platforms and their intention to reuse them. Applying the concept of platforms, this study also distinguishes between general shopping platforms and fashion shopping platforms and compares their characteristics. This study surveyed 788 consumers in their 20s and 30s with experience in using general shopping platforms or fashion shopping platforms (389 and 399 respondents, respectively). SPSS was used to conduct frequency analysis, factor analysis, and cross-tabulations, and AMOS was used to conduct confirmatory factor analyses and structural equation analyses. The results were as follows: platform reputation, shopping convenience, and interactivity all influenced consumer trust. For fashion shopping platforms, the product quality factor significantly improved consumer trust. However, for general shopping platforms, the product quality factor only influenced reuse intentions to reuse and did not contribute to improving trust. Platform reputation and information offering have influenced reuse intentions for both shopping platforms. Regardless of the type of shopping platform, platform reputation has influenced reuse intentions and consumer trust, and platform esthetics didn't have affect consumer trust and consumers' reuse intentions. Consumer trust influenced the intention to reuse on both platforms.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.73-88
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• 2021

The development of modern industry is changing the consumption pattern of consumers. With the advent of COVID-19, consumers' consumption using online e-commerce has begun to become more active. Online shopping malls where e-commerce takes place have four types of platforms: stand-alone, rental, open market and store farm. Among them, by comparing the stand-alone and store farm types, this study was conducted how the platform type affects consumers' purpose of using the online shopping mall and their intention to revisit the online shopping mall. This study analyzed 202 surveys within the last six months. According to the results of the study, reliability and information had a significant impact on psychological benefits. In addition, promotion and convenience have had a significant impact on economic benefits. The psychological and economic benefits, have been found to have a significant impact on the intention of revisit. However, there is no difference depending on the platform type.

• 한국IT서비스학회:학술대회논문집
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• 2002.06a
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• pp.249-257
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• 2002

B2B EC 플랫폼에서의 구매 프로세스를 지원하기 위한 구매자 쇼핑카트는 위치에 따라 판매자쪽의 s-cart, 중개자쪽의 i-cart, 구매자쪽의 b-cart로 분류할 수 있다. 본 논문에서는 B2B EC에서의 구매자 쇼핑카트의 요구기능을 사용자 식별, 상품정보수집, 물품정보제거, 주문처리, 지불처리, 진행사항 추적, 구매기록, 구매의사결정지원, 전자구매시스템에 구매기록 전송 등 9 가지로 제시하고, 이러한 관점에서 각 구매자 쇼핑카트에 대한 정성적인 비교 분석을 시도한다. 그리고 효율평가모델 제시를 통한 정량적인 분석과 상장기업 30개사의 구매직원에 대한 인터뷰를 통한 변수값 설정을 통해서 B2B EC환경에서의 구매자 쇼핑카트의 효율성 평가를 시도한다. 본 논문을 통해서 B2B EC환경에서는 b-cart 방식의 구매자쇼핑카트 방법이 효율적인 플랫폼임을 제시한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.599-601
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• 2022

Due to the increase in the use of smartphones after the 4th industrial revolution, the market size of mobile shopping is growing as mobile shopping using smartphones rather than internet shopping using PCs increases. With the rapid growth of the mobile shopping market, online social commerce and open markets have grown.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.403-404
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• 2018

최근 모바일 환경의 발달은 손안의 쇼핑을 완벽히 구현하고 있다. 특히, SNS 및 패션커머스의 발전으로 소비자는 자신이 원하는 의류를 간편하게 구매할 수 있다. 하지만, 모델 착용샷, 설명, 사진 및 댓글 등을 통해 판단하고 구입하기 때문에, 의류 특성상 직접 입어보고 판단해야 하는 실 소비자는 만족도가 떨어지고 판매자 입장에서는 반품이 증가하는 현상이 나타나고 있다. 본 논문에서는 소비자의 만족도를 최대한 높일 수 있는 2가지 요소를 감안한 모바일 쇼핑몰을 소개하고자 한다. 첫째, 소비자 체형과 유사한 모델 착용샷을 제공함으로써 구매 당시 소비자의 구매 만족도를 높인다. 둘째, 의류를 구매한 소비자가 자신이 착용한 사진을 쇼핑몰에 올림으로써 모델로써 활동할 수 있는 기능을 제공함으로써 커머스 SNS가 구축되도록 유도한다. 이를 위해 착용샷을 올리는 회원들을 위한 수수료 구조를 효율화하고 판매사, 소비자, 모델들이 활동하는 플랫폼을 구성한다.

• Information Systems Review
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• v.25 no.4
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• pp.67-87
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• 2023

Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.