• 한국의류학회지
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• 제29권11호
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• pp.1389-1398
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• 2005

The purposes of this study are to verify the sales promotion effect of bargain sale of department store, and to investigate the relationship between the effect of bargain sale and the consumer attitude toward economics. For those purposes, secondary data was collected. The data was composed of monthly sales data of women's casual wear, men's suit, inner wear, infant's wear, and golf wear in a department store from 1996 to 2003. The data on consumer attitude toward economics was collected from 'Consumer Attitude Index' issued by SERI. The results are as follows. First, there were differences in the sales promotion effects of bargain sale by merchandise class and by year. Men's suit was the class that the effect was highest, and inner wear was the class the effect was lowest. In addition, the effects were simultaneously lowered by year. Second, sales promotion effect of bargain sale had relationship with consumer attitude index. The yearly transitions of the two data were almost similar. This means that as the consumer attitude becomes pessimistic, the motivation to consume also becomes lower, so that sales promotion effect of bargain sale also decreases. In addition, women's wear and men's suit showed the most similar transition patterns with the consumer attitude index.

• 한국산학기술학회논문지
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• 제11권5호
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• pp.1708-1715
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• 2010

본 논문은 Seam 프레임워크과 연관된 객체지향 소프트웨어 개발에 대한 지침과 평가 지표를 제공하는데 목적이 있다. 기존의 아키텍처가 가지고 있는 문제점을 해결하고 장점들을 지원하기 위하여 새롭게 등장한 표준화 아키텍처가 Seam 아키텍처이다. 현재까지 중량 및 경량 컨테이너 아키텍처의 표준화를 장점으로 제안된 잘 알려진 아키텍처로 Seam 프레임워크가 있다. 따라서 본 연구에서는 기존의 중량과 경량 아키텍처가 가지고 있는 단점들을 해결하고 장점들을 지원하기 위하여 개발된 최신 경량 컨테이너 아키텍처인 Seam 프레임워크를 기반으로 JPetStore 주문시스템의 설계 및 구현을 통하여 이전의 사양과의 객관적인 소프트웨어 개발 생산성 지침을 제공하고자 한다.

• 경영과학
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• 제31권4호
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• pp.135-150
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• 2014

This paper analyzes the operational efficiency of 91 individual retail stores in Seoul by a two-step procedure. In the first step, a data envelopment analysis (DEA) model is used to identify the efficiency scores. Three inputs (store size, number of items, and number of employees) and two outputs (sales and number of customers) are used for the efficiency measurement. In the second step, a Tobit regression model is used to identify the drivers of efficiency. DEA efficiency scores are used to test hypotheses on the impact of five independent variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors. Results of the Tobit analysis show that number of items per store size, number of items per employee, and number of competitors play a significant role in influencing the operational efficiency of retail stores. Managerial implications of the study are discussed.

• International Journal of Contents
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• 제1권1호
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• pp.50-58
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• 2005

Generally, multidimensional data such as image and spatial data require large amount of storage space. There is a limit to store and manage those large amounts of data in single workstation. If we manage the data on parallel computing environment which is being actively researched these days, we can get highly improved performance. In this paper, we propose a parallel multidimensional index structure that exploits the parallelism of the parallel computing environment. The proposed index structure is nP(processor)-nxmD(disk) architecture which is the hybrid type of nP-nD and 1P-nD. Its node structure in-creases fan-out and reduces the height of an index. Also, a range search algorithm that maximizes I/O parallelism is devised, and it is applied to k-nearest neighbor queries. Through various experiments, it is shown that the proposed method outperforms other parallel index structures.

• 대한지역사회영양학회지
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• 제25권4호
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• pp.280-290
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• 2020

Objectives: This study investigated the menu and nutritional contents of convenience store lunchboxes, and evaluated the nutritional content by meal type, price, and store brand. Methods: In September 2019, 93 convenience store lunchboxes from the top five franchise stores were purchased. Relevant information on price, food weight, food ingredients, cooking methods, and nutrition labeling were subsequently collected. Nutritional content was evaluated based on the daily value (DV) and Index of Nutritional Quality (INQ), and energy contribution of carbohydrate, protein, fat, saturated fat and sugar was compared with the recommended range. Results: Most lunchboxes included the food groups; grains/starches, meats/fish/eggs/legumes, and vegetables. However, none provided fruits, and only a few lunchboxes provided milk/milk products. Stir-frying, deep-frying, and pan-frying were the most frequent methods of cooking. The average energy content of the lunchboxes was 736.6 kcal, whereas the average contents of protein, fat and saturated fat were higher than 40% of the DV, and sodium content was 66.8% of the DV. The contents of most nutrients in traditional type lunchboxes were higher, as compared to nutrients in onedish type lunchboxes. Considering pricing of lunchboxes, protein and sodium contents were higher in the higher-priced lunchboxes as compared to lower-priced lunchboxes, but there were no differences in the INQs. The contents of energy, protein, fat, saturated fat, and cholesterol significantly differed by brand. Conclusions: Our results indicate that convenience store lunchboxes contain high levels of protein, fat, saturated fat, and sodium. The nutritional contents differed by meal type, price, and store brand, and higher price did not imply higher nutritional quality. We propose the need to educate consumers to check nutrition labels and purchase appropriate lunchboxes. Manufacturers also need to make efforts to reduce the amounts of fat, saturated fat, and sodium, and not provide protein in excess.

• 한국유통학회지:유통연구
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• 제17권2호
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• pp.93-115
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• 2012

본 연구의 목적은 국내 소매업태간 시장점유율 변화가 소비자 물가에 미친 영향을 실증하는데 있다. 소매업태는 백화점, 대형마트, 슈퍼마켓, 편의점, 전문상품소매점, 무점포판매로 분류하였다. 소매업태간 시장점유율은 매월 각 소매업태별 판매액을 합산하여 월별 총소매판매액을 계산한 후, 각 소매업태의 판매액이 총소매판매액에서 차지하는 비율로 측정하였다. 물가지수는 소비자물가지수, 생활물가지수, 신선식품물가지수가 고려되었으며, 아울러 소비자물가지수의 기본분류에 의한 25종류의 제품군별 물가지수와 이들 제품군을 대표할 수 있는 개별 품목 42개가 고려되었다. 통제변수로 환율, M1, 원유가격, 산업생산지수와 같은 거시경제변수가 모형에 추가되어 분석되었다. 자료의 분석기간은 2000년 1월부터 2010년 12월까지이며, 월별자료가 시계열 분석에 이용되었다. 실증분석에 앞서 본 연구에서는 ADF 검정법과 PP검정법을 이용하여 시계열자료의 안정성을 검증하였으며, 단위근 검정에 필요한 모형의 선택과 시차의 선택은 선행연구와 AIC의 기준에 의해 선택하였다. 분석결과, 소매업태간 시장점유율 변화는 물가에 영향을 미치고 있는 것으로 나타났으며, 소매업태별로 소비자물가지수, 생활물가지수, 신선식품물가지수 증감에 미치는 영향력이 차별적으로 나타났다. 또한 25개의 기본 제품군과 각 제품군에서 42개의 대표적인 품목을 추출하여 분석한 결과에서도 소매업태별 시장점유율 변화는 제품군 및 개별 품목의 물가 증감에 유의하게 영향을 미친 것으로 나타났다. 이러한 결과에 대한 이론적 및 실무적 시사점과 향후 연구 영향이 제시되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제3권5호
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• pp.527-547
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• 2009

Moving object management is widely used in traffic, logistic and data mining applications in ubiquitous environments. It is required to analyze spatio-temporal data and trajectories for moving object management. In this paper, we proposed a novel index structure for spatio-temporal aggregation of trajectory in a constrained network, named aCN-RB-tree. It manages aggregation values of trajectories using a constraint network-based index and it also supports direction of trajectory. An aCN-RB-tree consists of an aR-tree in its center and an extended B-tree. In this structure, an aR-tree is similar to a Min/Max R-tree, which stores the child nodes' max aggregation value in the parent node. Also, the proposed index structure is based on a constrained network structure such as a FNR-tree, so that it can decrease the dead space of index nodes. Each leaf node of an aR-tree has an extended B-tree which can store timestamp-based aggregation values. As it considers the direction of trajectory, the extended B-tree has a structure with direction. So this kind of aCN-RB-tree index can support efficient search for trajectory and traffic zone. The aCN-RB-tree can find a moving object trajectory in a given time interval efficiently. It can support traffic management systems and mining systems in ubiquitous environments.

• Journal of Information Processing Systems
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• 제10권4호
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• pp.628-645
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• 2014

In past few years, distributed hash table (DHT)-based P2P systems have been proven to be a promising way to manage decentralized index information and provide efficient lookup services. However, the skewness of users' preferences regarding keywords contained in a multi-keyword query causes a query load imbalance that combines both routing and response load. This imbalance means long file retrieval latency that negatively influences the overall system performance. Although index replication has a great potential for alleviating this problem, existing schemes did not explicitly address it or incurred high cost. To overcome this issue, we propose, in this paper, an integrated solution that consists of three replication schemes to alleviate query load imbalance while minimizing the cost. The first scheme is an active index replication that is used in order to decrease routing load in the system and to distribute response load of an index among peers that store replicas of the index. The second scheme is a proactive pointer replication that places location information of each index to a predetermined number of peers for reducing maintenance cost between the index and its replicas. The third scheme is a passive index replication that guarantees the maximum query load of peers. The result of simulations indicates that the proposed schemes can help alleviate the query load imbalance of peers. Moreover, it was found by comparison that our schemes are more cost-effective on placing replicas than PCache and EAD.

• 한국콘텐츠학회논문지
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• 제20권6호
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• pp.342-353
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• 2020

본 연구는 Kano 모델의 이원적 품질분류와 잠재적 고객만족 개선 지수(PCSI Index)를 기반으로 드럭스토어와 백화점 내 화장품 매장의 서비스 품질을 비교, 분석하여 서비스 품질 개선 우선순위 요소들을 파악하고, 제시함으로써 화장품 매장의 서비스 품질 개선을 위한 기초자료 제공을 목적으로 하였다. Kano 모델 분석의 평가이원 표에 대입하여 품질 특성을 분류하고, 고객만족 계수(CSC)와 PCSI 지수를 이용해 화장품 서비스 품질 요소들의 개선 우선순위를 진행하였다. 그 결과, Kano 모델을 활용한 분석에서 드럭스토어와 백화점 화장품 매장 서비스 품질 요소에 대한 대부분의 항목이 매력적 품질 요소로 평가되었다. PCSI 지수 비교 결과, 드럭스토어 화장품 매장의 경우 '신뢰성', '반응성', '공감성' 항목이, 백화점 내 화장품 매장의 경우 '공감성', '신뢰성' 항목의 품질 요소들이 개선 우선순위가 높은 것으로 나타나, 해당 요소가 개선될 경우 고객 만족도가 향상될 잠재력이 높은 것으로 나타났다. 본 연구를 통해 드럭스토어와 백화점 화장품 매장의 서비스 품질 분류 및 고객 만족도 향상을 위한 개선 우선순위가 파악됨으로써 실무적인 시사점이 제공되어, 향후 고객 만족도 향상을 위한 지침 수립에 기여할 것으로 사료된다.

• International Journal of Internet, Broadcasting and Communication
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• 제5권1호
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• pp.14-17
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• 2013

RDF data is widely used for exchanging data nowadays to enable semantic web era. This leads to the need for storing and retrieving these data efficiently and effectively. Recently, the structure index in graph-based perspective is considered as a promising approach to deal with issues of complex query graphs. However, even though there are many researches based on structure indexing, there can be a better architectural approach instead of addressing the issue as a part. In this research, we propose architecture for storing, query processing and retrieving RDF data in efficient manner using structure indexing. Our research utilizes research results from iStore and 2 relation-based approaches and we focus on improving query processing to reduce the time of loading data and I/O cost.