• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.06a
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• pp.29-31
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• 2002

• Proceedings of the KGS Conference
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• 2003.05a
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• pp.203-206
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• 2003

국내의 장사는 전통적인 유교문화의 영향에 의해 주로 매장을 선호하여 국토의 전반에 걸쳐 많은 묘지가 들어섰고, 현재까지 지속적으로 들어서고 있다. 최근에는 장묘방식에 대한 인식이 바뀌고, 납골묘 등 집단적 유해 관리시설이 등장하면서 화장에 대한 사고가 긍정적으로 변화하고 있다. 그러나 여전히 국민 대부분이 매장을 선호하고 있고, 이러한 장묘 문화는 묘지의 면적증가를 초래하고 있다. (중략)

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.139-141
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• 2015

소규모 매장을 운용하고 있는 대다수의 소상공인들은 매장 홍보를 위해 전통적으로 사용되고 있던 오프라인 인쇄를 통한 전단지를 이용하고 있다. 최근에는 네이버 배너 광고, 디지털 사이니지 등을 이용한 온라인 홍보도 일부 이용하고 있으나, 온라인 홍보의 경우, 홍보 채널에 맞는 홍보물을 제작하기 위해 별도의 추가 비용이 발생하고 있으며, 홍보물 제작을 위한 비용부담으로 인하여 변화하는 상황에 최적화된 홍보물을 이용한 매장 홍보에 한계를 가지고 있다. 이에 본 논문은 소상공인이 매장 홍보를 위해 타겟 사용자 그룹군의 특성을 분석/제공하는 홍보전략을 반영하여 최적의 디지털 홍보물을 자동으로 제작하고, 가용 채널을 통해 홍보물을 쉽게 배포할 수 디지털 홍보물 자동 제작 프레임워크를 제안한다. 본 논문에서 제시하는 프레임워크를 이용하여 소상공인의 매장 상황 변화 및 홍보의도에 최적화된 디지털 홍보물을 쉽게 제작할 수 있으며, 이를 통한 홍보 효과 증대 및 홍보 비용 절감에도 기여할 수 있을 것이다.

• The Journal of Bigdata
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• v.8 no.1
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• pp.131-156
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• 2023

The traditional retail industry significantly changed over the past decade due to the mobile and online technologies. This change has been accompanied by a shift in consumer behavior regarding purchasing patterns. Despite the rise of online shopping, there are still specific categories of products, such as "Processed food" in Mongolia, for which traditional shopping remains the preferred purchase method. To prepare for the inevitable future of retail businesses, firms need to closely analyze the performance of their offline stores to plan their further actions in a new multi-channel environment. Retailers must integrate diverse channels into their operations to stay relevant and adjust to the shifting market. In this research, we have analyzed the performance data such as sales, profit, and amount of sales of offline stores by using clustering approach. From the clustering, we have found the several distinct insights by comparing the circumstances and performance of retail stores. For the certain retail stores, we have proposed three different strategies: a fulfillment hub store between online and offline channels, an experience store to elongate customers' time on the premises, and a merge between two non-related channels that could complement each other to increase traffic based on the store characteristics. With the proposed strategies, it may enhance the user experience and profit at the same time.

• Life and Agrochemicals
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• s.254
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• pp.31-33
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• 2010

그 동안 생산단계(친환경인증농산물, 전통식품 등은 유통단계 까지)위주의 농산물 안전성조사만 담당하던 것을 대형매장 등 농산물의 유통 판매단계까지 안전성조사 범위가 확대되었다. 조사대상 유해물질도 종전 4개 분류에서 7개 분류로 확대되었다.

• The Korean Publising Journal, Monthly
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• s.224
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• pp.22-23
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• 1997

낭만의 대명사인 소르본 광장의 한 귀퉁이에 전통 깊은 서점 '퓌프'가 있따. 퓌프출판사의 직영서점이기도 한데, 여기서 출간한 유명한 문고판 시리즈 '크세즈'가 지하매장 전체를 꽉 채우고 있다. 문명의 산 역사를 담은 '크세즈' 문고 안내를 맡은 전문인이 있을 정도다.

• International Commerce and Information Review
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• v.2 no.2
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• pp.97-110
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• 2000

1990년대 중반 인터넷이 상업용으로 발달하면서 전자상거래의 경제적 효과에 관한 연구가 활발히 진행되고 있다. 인터넷은 자유로운 시장진입을 가능하게 하고 제품 및 가격에 대한 완전한 정보를 공유하게 함으로써 경제적 비효율성을 제거할 수 있다. 그러나 한편으로 인터넷상의 검색비용 등이 실세계에서의 비용과 비교할 경우 그 차이가 매우 작을 수 있다는 주장도 있다. 인터넷으로 판매하는 상품들의 가격이 전통상점에서의 판매가격보다 낮은 지의 여부는 결국 실증문제로 귀착된다. 본 연구는 한국에서 서적과 음반CD에 대해 인터넷상점과 전통상점에 의해 부과되고 있는 실제가격들을 비교함으로써 이러한 질문에 대한 해결을 시도하고자 한다. 이들 두 제품은 한국은 물론 해외에서도 전자상거래로 가장 빈번히 거래되고 있는데다 제품의 표준화가 여타제품에 비해 비교적 잘되어 있는 제품들이다. 본 연구는 실증분석을 위해 2000년 9월 18~30일 동안 조사원들에 의해 실제 매장과 인터넷사이트에서 수집된 가격관찰치를 집계하고 이들 자료에 대한 통계적 검정을 시도하였다.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.311-324
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• 2012

This study is to investigate consumer's purchasing behavior by types of retail store and to conduct Importance-Performance Analysis(IPA) to exhort adequate competitive strategy to the traditional market. The results of this study are as follows. First, the result shows that consumer spends more time and less money at the traditional market due to the difficulties of store searching by store arrangement and construction of the market. Second, this study suggest that the traditional market needs to change their competitive strategy in same level with the discount stores, the traditional market can concentrate their capability on specialization and uniqueness of their product to meet the consumer's needs. Third, according to the result on quadrant(concentrate here) of IPA, traditional market is marked on ease of refund, convenience of after service and parking facility, and cleanliness of bathroom while the discount store and the department store are marked on high credibility level and quality of product.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.1
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• pp.12-22
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• 2019

This study derived the design aspects by carrying out the case study of Neunggok prehistoric remains park, Ansansingil historic park and Yongjuk historic park to which are taken measures to preserve undesignated cultural heritages after studying the related laws & regulations and the systems as the design conditions of historic park preserving buried cultural heritages. The results of the study are as follows. First, according to the laws & regulations related to the historical parks, the historic sites should be preserved and utilized at the same time and can have history-related facility spaces, squares, rest spaces, exercise spaces, education & culture space, and convenience spaces. Second, by the space organization and the circulation system emphasizing only the preservation of buried cultural heritages, the feature-preservation space and the functional space are separated and due to not accepting the usage behavior considering peripheral land use, the effectiveness of the historical park was low. Third, the passive feature-preservation methods such as the preservation of the exposed site in architectural methods, the reproduction of the dugout hut, and the planting Royal azaleas or displaying stone after covering up the location of the pit dwellings with soil and the usage mainly for viewing have weakened the identity of the historical park. Fourth, the fence preventing users' access interferes experiencing the features, and the vertical structure protecting the upper part of the exposed features has overwhelmed the landscape of the historical parks. Fifth, it was difficult to figure out the feature space only by the texts mainly on terminologies and the excavation photographs presented on the information signs which introduce the buried cultural heritages.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.