• Title/Summary/Keyword: Internet Stores

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Forecasting Model of Korean Retail Industry (우리나라 유통 업태별 성장 예측 모형 연구)

  • 서용구;배상근
    • Journal of Distribution Research
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    • v.6 no.2
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    • pp.41-64
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    • 2002
  • Since its market opening in the year 1996, Korea's retail sector has witnessed the emergence of various new retail formats such as discount stores and Internet shopping malls. Given the competition among various retail formats, it is needed to analyze the previous trends and to measure the future potential of the market with more careful economic models. Using Time Series Analysis on Korean economy and distribution industry, we aim to economic models to follow the trends and to measure the future growth of competing retail formats such as department stores, discount stores and convenience stores. We have found that the growth of department stores, convenience stores and specialty store format is very closely related with the private consumption expenditure. On the other hand, private consumption expenditure is not a good variable to explain the growth of discount stores and the supermarket sector. Following an extensive data analysis, three year forecasting of Korean distribution market including six different retail sectors is proposed. In addition, several discussion points including statistical classification of retail formats are argued.

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Flagship Store Trends in the Retail Market: Exploring the Characteristics (유통시장의 플래그십 스토어 트렌드: 현황을 통한 고찰)

  • Park, Kyung-Ae
    • Fashion & Textile Research Journal
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    • v.13 no.6
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    • pp.917-925
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    • 2011
  • Flagship store opening is one of the most frequently reported retail news in which it is widely used to promote a new store opening. The purpose of this study was to explore the flagship stores on media reports. Flagship store cases were collected from the news article database of the largest internet portal in Korea. A total of 210 cases were collected and content-analyzed. Though various business types of flagship stores were observed, most were in fashion. The most common characteristic of the flagship cases was the location of the prime sites in a metropolitan city. Global luxury and designer fashion brands met most characteristics, but many flagship stores were not more than a brand-owned store. The flagship store term is emphasized with dramatic expressions and various promotional events for media interests and in turn for marketing communication effect.

An Exploratory Study on Specialty Stores for Organic Foods

  • Lee, Young-Chul;Park, Chul-Ju;Lim, Su-Ji
    • Journal of Distribution Science
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    • v.9 no.3
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    • pp.47-54
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    • 2011
  • This paper presents exploratory research on consumer awareness and attitudesabout organic food, for which consumer demand continues to increase the paper also assesses consumers' organic food distribution channel preferences. By conducting a literature review, a case study has been carried out in order to glean customer behavior, market condition and typesof distribution channels, and development of specialty stores for organic foods. The early research indicates that consumer awareness and customer attitudes toward organic food are mostly positive however, organic food's high price, as well as a lack of organic food stores, cause a negative effect on consumers' purchase intention. Secondly, the U.S. organic food retail channel consists of such mainstream supermarket/grocery stores and leading natural and organic food supermarket chains as Whole Foods, Trader Joe's, and Sunflower Farmers Market. For the current retail distribution of organic food in Korea, off-line stores are composed of direct management stores and franchise chains. Most of the organic food retail distribution operates through the Internet shopping mall, and are commonly located at retail distribution centers as multi-channel, shop-in-shop stores. Moreover, unlike in the U.S., association and consumers' cooperatives (Co-Ops), and such other member-direct retail stores as Hansallim, iCOOP, Nature Dream,and online shopping malls, are all active in Korea. Thirdly, as a result of an analysis of the present state of the organic food retail channel, as well as building a case for organic food specialty stores, the distinctive featuresand rapid growth of such unique organic food stores as Whole Foods Market, or Trader Joe's successful downsizing strategies, as well as Sunflower Farmers Market low-price approach, show steady industry growth. Moreover, as a result of a case studyof such domestic representative organic food specialty stores as "Olga" and "Chorokmaeul," a similar management style to the United States' "Whole Foods Market" and "Trader Joe's," respectively, can be seen. Similar to the U.S. market, Korean organic food markets should also implement active retail distribution opportunities, allowing consumers to select from various diverse and differentiated choices. In order to accomplish this goal, it is necessary to prepare such measures as sustaining reasonable prices, securing various suppliers for unique products,and improving consumer trust through advertisement strategies that are suitable for each company's branding processes.

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A Study on the Marketing Strategies of Internet Fashion Shopping Malls - Focused on the Case Study of Internet Fashion Shopping Malls - (인터넷 패션 쇼핑몰의 마케팅 전락략- 인터넷 패션 쇼핑몰의 사례조사를 중심으로 -)

  • 신수연;김민정
    • The Research Journal of the Costume Culture
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    • v.12 no.1
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    • pp.41-58
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    • 2004
  • The purpose of this paper was to propose the efficient strategies of internet fashion shopping malls to success in the internet shopping mall market growing rapidly. Representative 5 internet fashion shopping malls - Halfclub, Fashionplus, e-Hyundai, Hansol CSClub and LGeShop - were selected and in-depth interviews were performed to analyze their marketing 4P's strategies. The results of this study are as fellows. Five shopping malls'main targets are women in twenties and early thirties. The price strategies are various according to shopping malls'character. In general, there are small amounts of discounts on new products(about 5%) which are sold by department stores. Shopping malls executed delivery of goods by cooperation with distribution companies and direct distribution of subcontract companies. Shopping malls are sending e-mails to the members as a promotion strategy. CRM(Customer Related Management) is partially implemented. Joint purchase and various events are conducted frequently. Shopping malls guarantee exchange and refund services.

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The Analysis of Previous Domestic Online Fashion Store Studies (웹(web)기반의 국내 의류쇼핑몰 관련 기존 연구 분석)

  • Lee, Jung-Woo;Kim, Mi-Young
    • Fashion & Textile Research Journal
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    • v.14 no.5
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    • pp.778-790
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    • 2012
  • This research categorizes and analyzes different online fashion store studies conducted over the past 10 years based on study type. The results are as follows. First, it was found that 116 studies out of 118 studies on online fashion stores conducted from 2000 to 2012 were based on PC web. Second, the studies on PC web-based fashion stores were reclassified into 9 different categories based on their topics: purchase behavior, word-of-mouth behavior, website, and product information presentation as well as products for sale, return behavior, customer service, system, present condition, marketing strategy, and promotions. However, mobile web-based studies were categorized into 2 categories of introduction of the fashion stores and purchase behavior. Third, we reclassified the studies chronologically to observe studies conducted at different times. In the early phase (in addition to studies on purchase behavior) studies on present condition, marketing strategy, and website constituted the majority of studies conducted because the field research was just starting to grow; however, studies conducted in the latter phase showed new patterns of study, such as word-of-mouth effect, and return behavior. Future studies conducted on competitive PC web-based fashion stores require a more specific classification of studies (according to their purpose) to develop an effective marketing strategy.

Intelligent Motion Pattern Recognition Algorithm for Abnormal Behavior Detections in Unmanned Stores (무인 점포 사용자 이상행동을 탐지하기 위한 지능형 모션 패턴 인식 알고리즘)

  • Young-june Choi;Ji-young Na;Jun-ho Ahn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.73-80
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    • 2023
  • The recent steep increase in the minimum hourly wage has increased the burden of labor costs, and the share of unmanned stores is increasing in the aftermath of COVID-19. As a result, theft crimes targeting unmanned stores are also increasing, and the "Just Walk Out" system is introduced to prevent such thefts, and LiDAR sensors, weight sensors, etc. are used or manually checked through continuous CCTV monitoring. However, the more expensive sensors are used, the higher the initial cost of operating the store and the higher the cost in many ways, and CCTV verification is difficult for managers to monitor around the clock and is limited in use. In this paper, we would like to propose an AI image processing fusion algorithm that can solve these sensors or human-dependent parts and detect customers who perform abnormal behaviors such as theft at low costs that can be used in unmanned stores and provide cloud-based notifications. In addition, this paper verifies the accuracy of each algorithm based on behavior pattern data collected from unmanned stores through motion capture using mediapipe, object detection using YOLO, and fusion algorithm and proves the performance of the convergence algorithm through various scenario designs.

A Personalized Approach for Recommending Useful Product Reviews Based on Information Gain

  • Choeh, Joon Yeon;Lee, Hong Joo;Park, Sung Joo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.5
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    • pp.1702-1716
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    • 2015
  • Customer product reviews have become great influencers of purchase decision making. To assist potential customers, online stores provide various ways to sort customer reviews. Different methods have been developed to identify and recommend useful reviews to customers, primarily using feedback provided by customers about the helpfulness of reviews. Most of the methods consider the preferences of all users to determine whether reviews are helpful, and all users receive the same recommendations.

Legal Measures for Handling Internet Health Information (법을 통한 인터넷 건강정보 관리 방안)

  • Suh, Mee-Kyung
    • Korean Journal of Health Education and Promotion
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    • v.20 no.1
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    • pp.61-76
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    • 2003
  • As people get broader access to health information through the internet, there is a greater need for measure to maximize the social advantages of the internet and to minimize negative side-effects. With this concern, this paper classifies internet health information services sites into : on-line supply of health information, on-line consultation, on-line diagnosis, and on-line sales. As well this paper analyzes domestic laws supporting and/or regulating these services. The efficient provision of internet health services requires comprehensive laws on individual privacy protection, prevention and handling of medical accidents, an electronic prescription form for internet diagnosis, electronic signing, payment for medical expenses, qualifications for internet medical practitioners. Additional laws are required to establish internet pharmacies and internet health goods stores. These new laws can be prepared either separately or through revision of existing laws governing medical practice, pharmacies, and public health promotion. However, as the legal control by the government on cyber processes and entities has a fairly minimal effect, consumers should be encouraged to improve their own capacity for wisely using internet health services and health-service providers should be encouraged to promote voluntary supervision and control of their own services and practices.

Segmenting the Plus-size Women's Apparel Consumers using Store Patronage (이용점포 유형에 따른 플러스 사이즈 여성의류 시장세분화)

  • Yu, Haekyung;Lee, Sun Mi;Ko, Sunyoung
    • Fashion & Textile Research Journal
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    • v.15 no.1
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    • pp.35-45
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    • 2013
  • The purposes of this study were to segment the women's plus-size market by the types of store patronage, profile the segments, and examine the differences in satisfaction with clothing attributes and variety of plus-size apparels according to different segments. The questionnaires included the 7-point likert scales on store patronage, satisfaction, clothing involvement and body cathexis. Five body measurements were recorded by sales people, and the respondents also provided information on their weight, height and garment size in addition to demographic characteristics. Questionnaires were collected from 7 franchise stores in Seoul, Anyang, Daegu, and Cheonan during the months of February, 2011 to April, 2011. 210 questionnaires were distributed and 160 were returned. Excluding incomplete questionnaires, a total of 149 questionnaires were used in the final analysis. The cluster analysis based on store patronage identified four segments- major patrons of specialty stores, multi-channel users, regular store users, and internet shopping mall users. Significant differences were found among the four segments of women's plus-size consumers in terms of clothing involvement, age, occupation, education and clothing expenditures. Internet shopping mall user group were in overall less satisfied with several clothing attributes and variety compared to other groups.

Implementation of The Shopping Information Retrieval System using Parsing Algorithm (파싱 알고리즘을 이용한 편의점 정보 검색 시스템 구현)

  • Kim, Seung-Uk;You, Hee-Gyeong;Jeong, In-Cheol;Kim, Tai-Woo
    • Journal of Internet of Things and Convergence
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    • v.2 no.4
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    • pp.1-8
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    • 2016
  • In order for consumers to purchase products and event products offered at each convenience store at a low price, visitors should visit the convenience store's homepage or visit the store directly. In this study, we developed an app program for each convenience store to find out which products are event products and which services are provided at certain convenience stores. Using this app, users can search real-time on various services including event information provided by various convenience stores.