• 유통과학연구
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• 제21권9호
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• pp.1-11
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• 2023

Purpose: This study focuses on developing a structural equation model of variables influencing loyalty to buying and selling food products through e-marketplaces in Thailand. The variables investigated comprised food attributes, online system attributes, marketing innovations, attitudes, and satisfaction. Research design, data and methodology: An online questionnaire was used to collect data from a sample group (200 buyers and 200 sellers) using quota sampling. The data were analyzed using the structural equation model. Results: The developed structural equation model was consistent with the empirical data. Factors in the model could explain 40.1% of the variance in loyalty to buying and selling food products through e-marketplaces. Food attributes and online system attributes influenced satisfaction directly. Online system attributes, market innovation, and attitudes directly influenced loyalty. The developed model had no variation between groups of buyers and sellers. Conclusions: This research demonstrated the causal factors leading to consumer loyalty to buying and selling food products through e-marketplaces. The research findings help e-marketplace providers manage factors of buying and selling to comply with the needs of buyers and sellers, which will increase the number of buyers and sellers, help generate long-term profits for service providers, and increase the country's financial value.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.609-611
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• 2022

LMS는 교육 학습 활동의 관리를 자동으로 해주는 소프트웨어로 코로나 확산으로 온라인 교육이 증가하고 있는 요즘 대부분의 교육 기관에서 사용되고 있다. LMS는 온라인 수업 뿐만 아니라 오프라인 수업과 연결지어 활용할 수 있을 만큼 활용도가 높고 광범위한 방식을 포괄하고 있다. 따라서 사회적 거리두기가 지속되었던 기간 동안 교육 기관 뿐만 아니라 재택근무 등 온라인 업무를 보기 위한 직장인에게도 유용한 소프트웨어임을 확인할 수 있었다. 이러한 LMS 기능은 향후 교육 시장과 온라인 클래스의 발전에 큰 도움이 될 것이다.

• 패션비즈니스
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• 제20권2호
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• pp.134-148
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• 2016

In this study, we determined the characteristics and importance of market maven to today's fashion retailers. Market maven is defined as an individual who is highly involved in the marketplace and takes a role as an information diffuser. In order to identify market maven, a total of 415 data were collected from 30-40 consumers who purchased fashion items from the various types of retailers. The data were divided into three groups based on the average score of summated market maven's scale, and the high group was referred to as "market mavens." Results suggested that the market mavens existed in the fashion retailing market and presented the differences from the other two groups. The market maven group spent more and purchased more fashion items than the other groups. With respect to shopping behavior, the market maven group was more likely to browse and bargain hunt when shopping, and showed higher mean scores on impulse buying and overall satisfaction. In addition, market maven tended to purchase fashion items from different types of retailers including online channel. Accordingly, market mavens seemed to present common characteristics with heavy browser, recreational shopper, and/or multi-channel shopper. Market mavens showed shopping enjoyment characteristics when searching for market-related information from various retailers, hence this segment should be the essential target market in the multi-channel retailing environment.

• 무역상무연구
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• 제74권
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• pp.81-103
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• 2017

The cross-border trade(CBT) market has grown significantly due to the global spread of the Internet and mobile. China has become a very important market because of its share of 78% in 2016 in the export of korea's CBT. To sum up this phenomenon, First, the forms of distribution and trade, in which the O2O method is utilized, are settled. Next, it is necessary to develop a new strategy to expand the stagnant export of Korea. In particular, it is time to look for an effective export expansion strategy to expand market share in the fast-growing Chinese market. For this purpose, this study proposed a strategy for efficient use of logistics as a countermeasure against China's CBT laws and regulations and development of CBT exports to China to develop effective export strategies.

• Asia pacific journal of information systems
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• 제20권2호
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• pp.157-180
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• 2010

Rapid development of information technology has generated a new industry and market. In particular, network technology such as the Internet and other computer networks made transaction activities switched from traditional offline commerce to e-commerce. Among them, digital content is bit-based object which is created and distributed through electronic environment. In particular, many entertainment contents such as the music, the movies, and the computer game softwares are main products. Although digital content commerce has high potential demand, it lacks the consideration about the factor related to maintaining existing customer such as customer loyalty and switching costs. There has been a number of research on customer loyalty and other factors affecting it in the traditional electronic commerce environment, but there is a lack of research which examines the characteristics of digital content. The study about the effect of switching costs on customer loyalty in digital content commerce is necessary because the customers of digital content commerce market are from those of other e-commerce market or traditional offline commerce market. In addition, customer loyalty and switching costs are important factors because they may build up greater customer retention. For that reason, this study focused on examining the relationships among switching costs, antecedents for switching costs, and customer loyalty in online digital music service industry. The study has three major purposes: (1) to find antecedents of switching costs on digital content commerce and examine effect of antecedents for switching costs; (2) to identify effect of switching costs on customer loyalty in digital content commerce and examine moderating effects of alternative attractiveness; (3) to identify the differences of antecedents for switching costs by contents transmission type(streaming service and downloading service). And, the online digital music service industry is selected in this study since there are many users and transactions incurring. To accomplish these purposes, a survey questionnaire was developed and distributed to 256 informants. Survey instrument was developed based on previous research and pre-established survey items. Total of 206 surveys are collected and used in the data analysis. Among the respondents, 56.8% is male and 43.2% is female. Also, 86 responses were streaming service user group and 120 responses were download service user group. These data was analyzed using regression analysis. Major findings of empirical analysis can be summarized as follows. First, switching costs have positive effect on customer loyalty in digital content commerce environment. Second, the influence of switching costs on customer loyalty increases under conditions of high alternative attractiveness. Third, DRM convenience and breadth of use have positive effect on switching costs. The findings imply that the digital content provider should pay more attention to switching costs in addition to customer satisfaction in order to attract customers. Also, increasing the convenience of DRM use by securing the convenience of user interface and expanding the support device and increasing the service use scope by providing diverse value-added service helps to create a switching barrier. The result of the study can become a practical use in marketing strategy for maintaining existing customer. In particular, switching barrier is very important under conditions of high competition in the online music service market. This study can be used as a basis for further studies about customer retention in digital content commerce.

• 경영정보학연구
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• 제23권4호
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• pp.45-67
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• 2021

온라인 C2C 중고거래에 대한 수요가 증가하고 있으나 물품을 보내지 않거나 명시한 것과 다른 물건을 보내는 방식으로 부당한 금전적 이득을 챙기려는 사기 행위자들의 수도 증가하고 있다. 본 연구는 이러한 사기를 미연에 방지하기 위한 머신 러닝 방법을 이용한 사기 탐지 모델을 구축하였다. 이를 위해 대표적 C2C 중고거래 플랫폼인 중고나라에서 145,536건의 거래 게시글을 수집하였다. 이후 이들 게시글에서 토픽 모델링 기법을 이용하여 상품 설명 내용의 주제를 추출하였으며, 상품 설명의 언어적 특성, 준언어적 특성, 상품의 특성, 게시글의 포스팅 특성, 구매자 특성, 거래 특성들을 추출하였다. 이를 XGBoost 방법에 기반한 머신 러닝 모델을 구축하여 사기 게시글을 탐지하였다. 분석 결과, 사기 게시글은 글 자체의 길이가 대체로 짧고, 제공하는 정보가 적고 상대적으로 구체적이지 않은 것으로 나타났으며 명사를 상대적으로 적게 쓰고 이미지도 사용하지 않거나 적게 사용하는 글이 대부분인 것으로 나타났다. 또한 상대적으로 숫자와 공백의 비율이 높게 나타났으며 정상 게시글의 경우 명사의 경우 상품의 정보, 동사의 경우 전달, 형용사의 경우는 행위와 관련된 단어들이 사용되었으나 사기 게시글은 뚜렷한 주제를 가지지 못하는 것으로 나타났다. 본 연구는 전화번호나 계좌번호를 사용한 기존의 방법과 달리 다양한 게시글의 특성으로 사기 여부를 탐지하는 모델을 구축했다는 점에서 학술적, 실무적 시사점을 가지고 있다.

• 예술경영연구
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• 제59호
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• pp.101-141
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• 2021

최근 몇 년 사이 전 세계적으로 온라인 티켓 재판매에 대한 논의와 관심은 날로 높아지고 있다. 많은 국가들은 온라인 티켓 암표거래 및 재판매 플랫폼에 대해 규제 범위와 방식에서 차이가 있기는 하나 다양한 방식으로 대응하고 있다. 하지만 이러한 세계적인 관심 및 대응과는 대조적으로 국내에서는 아직까지 온라인 티켓 재판매 규제를 위한 움직임이 매우 미흡했으며, 관련 법안조차 존재하지 않았다. 그리고 마침내 2020년 12월 티켓 부정판매를 방지하는 「공연법 개정안」이 통과되어 2021년 6월 23일부터 시행되었다. 이에 본 연구는 공연법 개정안 시행과 함께 향후 온라인 티켓 재판매 시장과 관련한 정책 방향 설정 및 공연계 현실에 맞는 개선 방안 논의를 목적으로 한다. 먼저 이미 다양한 규제를 시행 중인 미국과 영국을 중심으로 온라인 티켓 재판매에 관한 입법화 현황 및 규제 등을 살펴보았다. 이어 국내 매크로 프로그램을 통한 티켓 재판매 및 암표 판매와 관련한 규제와 입법화 현황을 검토하였고, 매크로 프로그램 규제, 공연법 개정안의 실효성, 온라인 티켓 재판매 시장 양성화에 관해 논의하였다. 본 연구를 통해 입법적 해석을 넘어 온라인 티켓 재판매 시장 현황 및 전반적 맥락에 대한 이해를 기반으로 공연계 현실에 맞는 정책적 개선 논의가 보다 본격적으로 개진될 수 있기를 희망한다.

• 디지털산업정보학회논문지
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• 제9권3호
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• pp.211-221
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• 2013

This study investigated the effect of service quality and using experience on a royalty in a electronic commerce. Expecially, used HTS (Home Trading System of securities companies)as a online service system. HTS (Home Trading System) is a electronic commerce system of securities companies that is a most progressive tool of it. Almost securities companies are offering these typical trading system, because it is a required factor for a competitive position in their compound market. This paper made hypotheses of five cases, and collected some data through survey questionnaire for an analysis of actual proof. For attaining the object of this research, used a structure equation modeling, and found that almost paths of the research model are supported among the service quality, using experience, involvement and royalty. This study could provide academic and managerial implications in a electronic commerce business.

• International Journal of Advanced Culture Technology
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• 제5권4호
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• pp.51-56
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• 2017

In every Summer and Winter, there open soccer transfer markets. And these markets draw huge attention from soccer fans and other ordinary people all around world. This phenomenon might indicate great interest of people from the amount of news, blog articles, public messages and replies from online community and forums about popular players and clubs of many leagues. Especially, transfer markets in the year 2017 have generated many gossips than before. In this research, we performed keyword analysis and ranking of news and messages collected and analyzed from online news sites and online forum sites, in order to investigate who and what clubs are mainly discussed.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.395-400
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• 2007

Previous studies present the mixed results on online reputation mechanism. In this study, we have found that an approach based on Bayesian statistics can explain most results of previous studies which are conflicting with each others. With this model, we explain why negative ratings have more significant marginal impacts on sellers' reputation than positive ones do. Furthermore, we even show why the feedbacks with a few negative ratings may increase the value of the item and final prices by confirming buyers' prior beliefs on the sellers' reputation much more than those without negative ratings. Also, we explain why there are not many negative ratings. Even though some studies suggest this because of generosity of users, our model shows that the reason is that the existence of FS itself prevents bad sellers from participating to the market as a signal itself. Even further, we show how this extreme tendency of positive ratings gets even stronger as markets evolve. Finally, to validate our analytical results, we examine the previous studies and see what factors effect the outcomes of their analyses.