• 제목/요약/키워드: Discounted Stores

검색결과 5건 처리시간 0.017초

할인점의 의류PB 상품전략에 관한 연구 (A Research on Private apparel Brand's Product Strategy in Discounted Stores.)

  • 최성식;김판진;이상윤
    • 산경연구논집
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    • 제2권2호
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    • pp.25-38
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    • 2011
  • 외환위기 이후 급격한 출점과 성장을 해온 대형마트 점포수가 이미 포화상태에 이르렀다는 우려의 목소리도 있지만 신규 출점은 계속적으로 지속될 전망이고 향후 대형마트 성장세는 둔화되나 점포수 등 외형적 성장은 계속되는 가운데 상품 차별화 추구, 고객니즈부응, 고마진획득 등이 지속적으로 가능해져 PB상품 개발이 불황 국면 극복을 위한 저성장 시대의 마케팅 전략의 하나로 자리 잡을 것으로 전망 된다. 또한 국내 3대 대형마트가 의류PB 브랜드를 계속적으로 출시, 확장하고 있는 상황과 운영전략에 대해 연구하고 이를 바탕으로 국내 대형마트의 PB의 성공사례와 문제점을 도출하여 PB의 필요성에 대해 차별화와 고이익 창출을 위한 성공적 전략 방안을 논의 하고자 한다. 본 연구는 대형 마트 PB의 개념과 전략 방안 및 성공사례와 전망을 살펴보고, 현재 전 세계적으로 빠른 성장을 보이는 PB를 단순히 유통업체가 상품을 유통시키면 된다는 제한된 역할 수행에서 벗어나, 제조업체가 지닌 유통 채널에 대한 지배력을 얻을 수 있다는 것을 의미 확장하여 설명하고자 한다. 이미 세계 주요 선진유통업체들은 자사의 상품차별화와 수익성향상을 위해 PB상품 개발에 많은 노력을 쏟고 있으며, 이를 통해 다국적전략 및 외형적 확장, 더불어 높은 재무성과를 창출하고 있는 좋은 사례는 쉽게 접할 수 있다. 따라서 본 연구는 국내 할인점의 포화에 따른 새로운 대안을 위해서는 차별화된 PB운영 전략이 필요함을 국내3개 주요할인점 사례를 통해 제시하였다. 특히 의류 PB상품은 철저한 시장분석과 디자인트렌드 및 고객니즈를 반영한 상품개발로 차별화된 상품력 및 고마진 획득을 통해 출점 정체된 대형마트 지속성장에 새로운 돌파구를 마련하는 좋은 계기를 줄 수 있는 시사점을 제공하여 할인점 출점 한계에 따른 새로운 상품전략 방안을 제시하였다. 본 연구는 할인점 주요 3개사의 경영실적과 세계 몇 개국의 대표적인 PB성공사례를 중심으로 연구하여 국내 전체 소매 산업에 일반화하기에는 다소 무리가 있다. 향후에는 국내에 입점된 다국적 SPA 브랜드와 국내 할인점 PB를 중심으로 비교분석하여 가치를 극대화한 의류PB 확대전략에 대한 추가연구가 필요하다.

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남성 패션 스타일의 변화와 특징에 따른 디자인 제안 (Development of Men's Wear Design according to the Change and Features of Men's Fashion Styles)

  • 박한힘;김영인
    • 한국의상디자인학회지
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    • 제17권4호
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    • pp.117-129
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    • 2015
  • This study is to find out the changes and features of male consumers' life style and purchase tendency according to the change of Korean fashion market, and based on which to suggest the design for the 20s men as well as a proper distribution channel for it. Documentary research and investigation were done together for the study. By reviewing documents focused on previous studies and declaring the change of men's fashion shopping tendencies and the following changes and features of their fashion sense and styles a conceptional frame for a design suggestion was presented. Ways to investigate were men's wear collection research, Q-technique. First of all, they tend to boldly reduce unnecessary purchases and do not hesitate to focus on the wanted item, expanding the trend of 'value purchase.' Secondly, men's wear use various design elements with feminine images, while the materials, colors and design expressive techniques that have been exclusively used for women's wear, began to be applied to men's one, turning them into gentle styles with womanhood is stressed. Thirdly, Korean distribution channel is rapidly diversified from departments to new-concept ones such as multi-brand stores. Especially, displaying and selling various optional products, multi-brand stores lead such diversification of fashion distribution channel. Fourthly, features of the drapery types favored by the 20s men are that they like no-chromed dark or blackish colors with fixed structure and partially-applied drapery on the clothes. Fifthly, it turns out that men in their 20s set a premium on design and price while they buy clothes. In addition to that, they buy clothes mainly during discount period and displayed much bigger satisfaction for the purchase on discounted price that those on normal price.

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오프라인 소매점의 모바일 할인 서비스에 대한 전략적 분석 (Game Theoretic Analysis of the Mobile Discount Service of the Offline Retailers)

  • 조형래;이민호
    • 산업경영시스템학회지
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    • 제39권3호
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    • pp.47-55
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    • 2016
  • The proliferation of the Internet and related technologies has led to a new form of distribution channels, namely online retailers. The conventional offline and the new online retailers have different transaction costs perceived by the consumers in the following perspectives: the accessibility to the product information, the traffic cost and the opportunity cost for the time to visit the store, the delivery time and the possibility of 'touch and feel' to test the quality of the product. In particular, the online retailers have lower distribution cost structure in that they do not have physical stores, which results in lower selling price. Thus they continuously offer price competition against offline retailers using the lower selling cost as competitive weapon. Moreover the emergence of the social commerce is likely to intensify the competition between the online and offline retailers. To survive in this fierce competition, the offline retailers are trying to defend their business interests by sticking to offline transaction in anticipation of increased customer loyalty, customer's preference for 'touch and feel' style shopping, and others. Despite of these efforts, customers who touch and feel a product in an offline store but purchase the product through an online retailer are increasing. To protect such customers, recently, some of the offline retailers began to provide the mobile discount service (MDS) which enables the offline customers to purchase a product at a discounted price through the mobile applications. In business competitions, the price discount strategy is usually considered to secure more market share at the cost of lower profit. In this study, however, we analyze the effect of MDS as a weapon for securing more profit. To do this, we set up a game model between the online and offline retailers which incorporates the effect of the MDS. By numerically analyzing the Nash equilibrium of the game, some managerial implications for using the MDS for more profit are discussed.

거주평형에 따른 소비자 홈 패션 구매 행동 및 선호도 연구 (A Study on Consumers Home Fashion Buying Behavior and Preferences Based on Housing Size)

  • 김칠순;박수연
    • 복식문화연구
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    • 제13권1호
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    • pp.34-46
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    • 2005
  • The purpose of this study was to research buying behavior and home fashion preferences based on housing size. The target consumers were Korean women, aged 20~40s who reside in the Seoul & Kyunggido areas. We distributed questionnaires to 650 women. However, only 600 questionnaires were used for the statistical analysis. Data analyses were conducted with SPSS program on the frequency, Chi-square test, cluster analysis, t-test and ANOVA. The results of this study are as follows: 1. The considering factors for purchasing such as brand, trends coordinating existing furnishings with new products and functionality were significantly associated with housing size. The buyers who reside in bigger size homes. over 40 pyung place higher value on brand name, trends. or coordinating existing furnishing with new products than residents in smaller units. However, women who live in smaller units place higher value on functionality when purchasing home fashion products. Considering factors such as brand, trend, and materials were also significantly associated with segmented age group; 40~49 age group considered brand, trend, and materials more than 20~29 age group. The group who are highly interested in home fashion considered design/color, rand, coordination, and functionality than the group who are low interested in home fashion. 2. Residents in over 40 pyung homes buy home fashion products at department stores, while residents in less than 39 pyung homes buy them at discounted store. 3. Respondents preferred solid colors more than patterns. However, they favored character pattern for textile bedding products for their children. 4. there is also a statistical difference in preferences for types of window treatments between large ad small housing sizes. Residents living in over 40 pyung preferred tie-back/cottage curtain, while residents living in less than 29 pyung preferred Roman shade style.

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스마트폰 위치기반 어플리케이션의 이용의도에 영향을 미치는 요인: 프라이버시 계산 모형의 적용 (Factors Influencing the Adoption of Location-Based Smartphone Applications: An Application of the Privacy Calculus Model)

  • 차훈상
    • Asia pacific journal of information systems
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    • 제22권4호
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    • pp.7-29
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    • 2012
  • Smartphone and its applications (i.e. apps) are increasingly penetrating consumer markets. According to a recent report from Korea Communications Commission, nearly 50% of mobile subscribers in South Korea are smartphone users that accounts for over 25 million people. In particular, the importance of smartphone has risen as a geospatially-aware device that provides various location-based services (LBS) equipped with GPS capability. The popular LBS include map and navigation, traffic and transportation updates, shopping and coupon services, and location-sensitive social network services. Overall, the emerging location-based smartphone apps (LBA) offer significant value by providing greater connectivity, personalization, and information and entertainment in a location-specific context. Conversely, the rapid growth of LBA and their benefits have been accompanied by concerns over the collection and dissemination of individual users' personal information through ongoing tracking of their location, identity, preferences, and social behaviors. The majority of LBA users tend to agree and consent to the LBA provider's terms and privacy policy on use of location data to get the immediate services. This tendency further increases the potential risks of unprotected exposure of personal information and serious invasion and breaches of individual privacy. To address the complex issues surrounding LBA particularly from the user's behavioral perspective, this study applied the privacy calculus model (PCM) to explore the factors that influence the adoption of LBA. According to PCM, consumers are engaged in a dynamic adjustment process in which privacy risks are weighted against benefits of information disclosure. Consistent with the principal notion of PCM, we investigated how individual users make a risk-benefit assessment under which personalized service and locatability act as benefit-side factors and information privacy risks act as a risk-side factor accompanying LBA adoption. In addition, we consider the moderating role of trust on the service providers in the prohibiting effects of privacy risks on user intention to adopt LBA. Further we include perceived ease of use and usefulness as additional constructs to examine whether the technology acceptance model (TAM) can be applied in the context of LBA adoption. The research model with ten (10) hypotheses was tested using data gathered from 98 respondents through a quasi-experimental survey method. During the survey, each participant was asked to navigate the website where the experimental simulation of a LBA allows the participant to purchase time-and-location sensitive discounted tickets for nearby stores. Structural equations modeling using partial least square validated the instrument and the proposed model. The results showed that six (6) out of ten (10) hypotheses were supported. On the subject of the core PCM, H2 (locatability ${\rightarrow}$ intention to use LBA) and H3 (privacy risks ${\rightarrow}$ intention to use LBA) were supported, while H1 (personalization ${\rightarrow}$ intention to use LBA) was not supported. Further, we could not any interaction effects (personalization X privacy risks, H4 & locatability X privacy risks, H5) on the intention to use LBA. In terms of privacy risks and trust, as mentioned above we found the significant negative influence from privacy risks on intention to use (H3), but positive influence from trust, which supported H6 (trust ${\rightarrow}$ intention to use LBA). The moderating effect of trust on the negative relationship between privacy risks and intention to use LBA was tested and confirmed by supporting H7 (privacy risks X trust ${\rightarrow}$ intention to use LBA). The two hypotheses regarding to the TAM, including H8 (perceived ease of use ${\rightarrow}$ perceived usefulness) and H9 (perceived ease of use ${\rightarrow}$ intention to use LBA) were supported; however, H10 (perceived effectiveness ${\rightarrow}$ intention to use LBA) was not supported. Results of this study offer the following key findings and implications. First the application of PCM was found to be a good analysis framework in the context of LBA adoption. Many of the hypotheses in the model were confirmed and the high value of $R^2$ (i.,e., 51%) indicated a good fit of the model. In particular, locatability and privacy risks are found to be the appropriate PCM-based antecedent variables. Second, the existence of moderating effect of trust on service provider suggests that the same marginal change in the level of privacy risks may differentially influence the intention to use LBA. That is, while the privacy risks increasingly become important social issues and will negatively influence the intention to use LBA, it is critical for LBA providers to build consumer trust and confidence to successfully mitigate this negative impact. Lastly, we could not find sufficient evidence that the intention to use LBA is influenced by perceived usefulness, which has been very well supported in most previous TAM research. This may suggest that more future research should examine the validity of applying TAM and further extend or modify it in the context of LBA or other similar smartphone apps.

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