• Title/Summary/Keyword: 온라인 쇼핑몰

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Practical Implementation Customer management and payment platform service using Bluetooth beacon (블루투스 비콘을 사용한 고객 관리와 결제 플랫폼 서비스)

  • Ko, Hyug-Jun;Han, Seong-Soo;Jeon, You-Boo;Jeong, Chang-Sung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.05a
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    • pp.49-51
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    • 2020
  • 인터넷 상거래의 발전으로 온라인 쇼핑몰은 간편 결제와 같은 다양한 페이들을 지원하며 결제방식에 있어서 다양한 방법들을 제공하고 있다. 한편, 경쟁 우위에 있는 다양한 온라인 앱들은 O2O(Online-to-Offline) 서비스를 기반으로 오프라인 매장에도 진출하고 있다. 반면, 기존의 오프라인 사업장을 가진 소상공인들은 ICT 적용과 활용을 위한 개발에 어려움을 겪고 있을 뿐만 아니라 고객 관리와 광고 등에서도 상대적인 열세로 인하여 오프라인 사업장의 수익은 점점 줄어드는 실정이다. 이러한 문제를 해결하기 위하여 본 논문에서는 블루투스 비콘 기술을 사용하여 고객 관리와 광고 등이 가능하며, 오프라인 사업장에도 적용이 가능한 방법을 제안한다. 제안 방법을 통하여 오프라인 매장에서도 온라인 쇼핑몰처럼 관리가 가능하다.

A Study on the factors affecting Purchasing Intentions of Internet Shopping Mall (인터넷 쇼핑몰의 구매 의도에 미치는 영향요인)

  • Gam, Hua-Jun;Kim, Dae-Ho
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.7 no.3
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    • pp.105-113
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    • 2012
  • There are many studies about the relationship between customer satisfaction and SCM, web site quality or online Word of Mouth (WOM). When a customer wants to purchase any product online, he has to watch the detail of a online shopping web by computer. So the web sits' quality can be very important for the customer to get enough information. Recently, internet shopping malls are very much prospered. To understand why these kinds of internet transactions become very popular, this study investigates a possible effect of such crucial factors as web site quality, supply chain management(or deliver service), and online Word of Mouth(WOM) of an internet shopping mall to its customer satisfaction and trust, eventually leading to purchasing product and services. This study develops a experimental research model and tests it based on 170 survey response using regression analysis.. The finding of this research implies that system quality, information quality, quick and correct, accurate delivery service, and online WOM are influential factors to the performance of online shopping mall, while design quality, cost of delivery do not affect relationship significantly.

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Venture Portfolio-코리아센터닷컴 김기록 대표

  • Korea Venture Business Association
    • Venture DIGEST
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    • s.108
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    • pp.10-13
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    • 2007
  • 가산디지털단지에 위치한 코리아센터닷컴 입구엔 '따뜻한 디지털세상'이라고 적힌 패널이 걸려있다. 패널 양쪽으로 있는 문은 각각 사무실과 갤러리로 통한다. 갤러리가 있는 IT회사. 2000년 1월 자본금 5,000만원으로 시작하여 임대형 쇼핑몰 서비스인 '메이크샵'을 이용해 국내 최대 인터넷 쇼핑몰 구축 실적을 세운 코리아센터닷컴. 끈기와 열정으로 온라인을 항해하는 CEO 김기록 대표를 만나 그가 그리는 따뜻한 디지털 세상을 살짝 들여다본다.

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A Consideration about Online Ratings in Internet Shopping Malls (인터넷 쇼핑몰에서 고객의 상품평점에 대한 소고)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.22 no.2
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    • pp.309-315
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    • 2009
  • The degree of the impression about a special commodity in the internet shopping malls depends on the evaluation and the corresponding rating of customers who purchased and used this commodity. We can find the problems in online ratings system of Korean internet shopping malls and suggest the simple solutions.

온라인 쇼핑몰 전환장벽의 선행요인 연구

  • Park, Su-Min;Yu, Cheol-Woo;Kim, Mi-Suk
    • 한국경영정보학회:학술대회논문집
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    • 2008.06a
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    • pp.860-865
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    • 2008
  • 본 연구는 인터넷 쇼핑몰의 전환장벽(Switching Barrier)과 E-Quality, 상호작용성(Interactivity), 신뢰성 (Trust)을 중심으로 고객충성도에 영향을 미치는 요인을 밝히고자 하였다. 전체 100명의 표본을 PLS(Partial Least Square)를 사용하여 구조모형 분석을 실시하였으며, 분석한 결과, EQ, 상호작용성, 신뢰성이 가상관계에 유의한 영향을 주고 있으며, 가상관계, 전환비용, 대안의 매력이 쇼핑몰에 대한 충성도에 유의한 영향을 주는 것으로 나타났다.

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Methodology for Identifying Key Factors in Sentiment Analysis by Customer Characteristics Using Attention Mechanism

  • Lee, Kwangho;Kim, Namgyu
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.3
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    • pp.207-218
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    • 2020
  • Recently, due to the increase of online reviews and the development of analysis technology, the interest and demand for online review analysis continues to increase. However, previous studies have not considered the emotions contained in each vocabulary may differ from one reviewer to another. Therefore, this study first classifies the customer group according to the customer's grade, and presents the result of analyzing the difference by performing review analysis for each customer group. We found that the price factor had a significant influence on the evaluation of products for customers with high ratings. On the contrary, in the case of low-grade customers, the degree of correspondence between the contents introduced in the mall and the actual product significantly influenced the evaluation of the product. We expect that the proposed methodology can be effectively used to establish differentiated marketing strategies by identifying factors that affect product evaluation by customer group.

The Acceptance of Customer Reviews in Taobao (타오바오 쇼핑몰 이용자의 구매후기 수용에 관한 연구)

  • Hao, Qi-Ying;Lee, Sang-Joon;Lee, Kyeong-Rak
    • Journal of the Korea Convergence Society
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    • v.6 no.4
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    • pp.205-212
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    • 2015
  • This paper aims to investigate key factors affecting customer adoption of the online review from the three perspectives such as customer review characteristics, reviewer characteristics, and customer characteristics. We collected data on customers who have experience in purchasing products in Taobao. The major findings are as follows. First, the customer review amount and vividness are not directly related to customer adoption of the online review. Second, the trust of reviewer and perceived similarity have positive effects on customer adoption of the online review. Third, the prior knowledge and product involvement increase customer adoption of the online review. Finally, customers' purchase intention is greatly determined by customer adoption of the online review. This paper presents the importance of the management of customer reviews and management method for the stakeholders of shopping mall to advancing Chinese market.

Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System (지도학습 머신러닝 기반 카테고리 목록 분류 및 추천 시스템 구현)

  • Lee, Hyung-Woo
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.57-65
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    • 2019
  • In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

A Study on the Consumer Behavior in the Cyber Shopping Mall (사이버쇼핑몰의 소비자행동에 관한 연구)

  • 유한종
    • Journal of Internet Computing and Services
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    • v.3 no.1
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    • pp.11-16
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    • 2002
  • Nowday, Cyber shopping mall increased market size. The Consumer Behavior chainged new trend. This study on the systematic access to establishment of the concept of cyber shopping mall as well as to problems to overall parts of EC service as well is required. The objectives of this study are that how service consumers perceive the quality of EC service, and that what effect the quality makes on their satisfaction and re-purchase intention. This means that the research enables a marketing manager to take the meaning of comparative weight among the components of EC service quality, and to provide very useful information to establish marketing strategies which are close to the consumers.

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The Lowest Price Matching Service Using Cosine Similarity Analysis (코사인 유사도 분석을 이용한 최저가 매칭 서비스)

  • Yoo, Songeun;Kang, Byungoh;Kim, Jimin;Lee, Ganghyeok;Lee, Minwoo;Koh, Seokju
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.624-629
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    • 2020
  • 최근 온라인 쇼핑 시장이 커지면서 소비자들은 다양한 물건을 온라인에서 쉽게 접근하고 구매할 수 있게 되었다. 이와 함께 인터파크의 '톡집사', 네이버 쇼핑 등에서는 다양한 쇼핑몰의 가격 정보를 모아서 소비자들이 합리적인 가격에 상품을 구매할 수 있도록 도와주고 있다. 이에 본 논문에서는 이러한 가격 비교 시스템을 활용하여 판매자들을 대상으로 서비스하는 시스템을 제안한다. 문서 유사도를 비교하기 위하여 쓰이던 코사인 유사도 분석 기법을 쇼핑몰 상품명 분석에 이용할 수 있도록 한다. 실제 상품명 정보를 이용해 코사인 유사도 분석을 실행하고 코사인 유사도 분석 결괏값으로 관련성이 낮은 상품을 배제한다. 나머지 상품의 정보를 바탕으로 최저가 분석을 수행하여 적정 판매가격을 추출하여 제시한다. 따라서 제안하는 방식을 적용하여 상품 분석을 시행하면 비슷한 범주에 있는 상품들을 추출한 뒤 최적의 가격을 제시할 수 있을 것이다.

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