• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.485-499
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• 2012

With the maturity of department stores and discount stores, many Korean retail companies have an interest in developing outlet shopping centers such as Yeoju Premium Outlet so on. To develop a successful outlet shopping center, developers should understand consumer's preferences on many attributes of development alternatives. This study analyzes consumer's preferences on outlet shopping center and evaluates various development alternatives by using conjoint analysis. With empirical research for outlet shopping center development, this study can elicit potential shopper's preference for outlet shopping center. The empirical result shows discount rate is most important attribute to develop outlet shopping center. The potential shoppers have higher preference for higher discount rate. Location is the second important attribute. Brand is the least important attribute. By using utilities derived from analysis, this study performs various choice simulations. Through choice simulation analysis, this study tries to find the best development alternative for new outlet shopping center.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1128-1140
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• 2002

As consumers' alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type are important to retailers and marketers for building a successful merchandising and marketing strategies. Most of the previous researches in store selection and patronage assume consumer behavior as single store patronage, and thus relatively little is known about patronage mix behavior. Also, little attention has been given to product characteristics as an important variable in store patronage behavior. The purposes of this study were to determine the effects of product characteristics in consumers patronage mix behavior. In this study, a theoretical model including product characteristics as an intervening variable between store attributes and patronage behavior was developed. A Questionnaire was developed and data were collected form 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVA, Duncan test and discriminant analysis were employed to analyze the data. As a result, the suggested model was partially verified. First, the product characteristic was found to have an effect on perceived importance of store attributes and on determinant attributes of stores. Consumers were found to use different evaluative criteria for store attributes when they purchase different product types. Second, the perceived importance of store attributes was determined by consumer characteristics as well as product characteristics. Third, the determinant attributes in store selection were affected not only by the perceived importance of store attributes but also by the type of product to be purchased.

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.625-632
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• 2001

The electronic stores have realized that they need to understand their customers and to quickly response their wants and needs. To be successful in increasingly competitive Internet marketplace, recommender systems are adapting data mining techniques. One of most successful recommender technologies is collaborative filtering (CF) algorithm which recommends products to a target customer based on the information of other customers and employ statistical techniques to find a set of customers known as neighbors. However, the application of the systems, however, is not very suitable for seasonal products which are sensitive to time or season such as refrigerator or seasonal clothes. In this paper, we propose a new adjusted item-based recommendation generation algorithms called the exponentially weighted collaborative filtering recommendation (EWCFR) one that computes item-item similarities regarding seasonal products. Finally, we suggest the recommendation system with relatively high quality computing time on main memory database (MMDB) in XML since the collaborative filtering systems are needed that can quickly produce high quality recommendations with very large-scale problems.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.149-157
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• 2002

Todays, electronic commerce(EC) results to the revolution and new paradigm of business, more and more Web-based EC applications have emerged. But, it's web systems should be satisfied by customers and it should be successful to buying some goods in virtual stores with easy to use. The usability and acceptance of the EC web system is one of the key factors in the successful construction of EC system. In this paper, we considered the characteristics of information search and decision making process in the design of EC web system to be used easily and to be more acceptable to customers. On the basis of these characteristics, we could classified with the activities of the process of buying in the domestic web systems. And, the log files of experimental tasks were analyzed by the statistical method of data mining. As the these results, the important factors of the process of buying could be summarized, 5 user groups could be seen in EC customers, and the usage patterns of these groups were described. These results could be very useful to design user-oriented EC web system.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.47-61
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• 2001

Lazy loaming methods including CBR have relative advantages in comparison with eager loaming methods such as artificial neural networks and decision trees. However, they are very sensitive to irrelevant features. In other words, when there are irrelevant features, larry learning methods have difficulty in comparing cases. Therefore, their performance can be degraded significantly. To overcome this disadvantage, feature weighting methods for lazy loaming methods have been studied. Most of the existing researches, however, were focused on global feature weighting. In this research, we propose a new local feature weighting method, which we shall call CBDFW. CBDFW stores classification performance of randomly generated feature weight vectors. Then, given a new query case, CBDFW retrieves the successful feature weight vectors and designs a feature weight vector fur the query case. In the test on credit evaluation domain, CBDFW showed better classification accuracy when compared to the results of previous researches.

• Korean Institute of Interior Design Journal
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• no.10
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• pp.77-81
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• 1997

The study is for interior design and planning of new c conceptual modern shop(called "Value Conscious Store") t through the history of retail store, and its process is based on m most great cites in USA. The Value Conscious Store has c come into existence for consumer and retailer who have had v various lifestyles and characters. From analysis of new l lifestyle consumer to retailer's strategy. we could find i interesting design solutions and, forecast next concerns for d designing store. Store has been designed up-scaled and opened to give pleasure and comfort and made by a theme to m make unique and strong impact for customers. Also it uses M Multi-Media for excitment, and is designed as exhibition of m museum to lead constomers to new culture and trend. From t these interior trends will go on to next generation with new c concepts : environment and nature, senses and sensibility. T These words will be the new solution for creative and s successful store design by the designer who has environm mentally conscious and social responsibility in his mind. his mind.

• Journal of Distribution Research
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• v.15 no.5
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• pp.257-272
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• 2010

The DongDeaMoon fashion market was carried out the core role of low price distribution as production and selling illuviation of fashion merchandise. However, the unique and successful fashion merchandising system of DongDeaMoon fashion market has been seriously threatened by consumer need changes as well as by an increased competition from new types of retail stores such as fast fashion brands and online shopping malls. Therefore, this study reviewed the policies for DongDeaMoon fashion market carried out by Seoul Metropolitan City and formulated the policies for strengthening competitiveness of DongDeaMoon fashion market.

• Journal of the Korean Society of Food Culture
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• v.31 no.1
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• pp.73-80
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• 2016

The purpose of this study was to identify the change attributes of food courts inside department stores or shopping centers, which are becoming more sophisticated and gentrified. A survey was conducted regarding customer satisfaction level of food services, which influences customers' revisit behavioral intentions, to provide future development direction. Using an exploratory factor analysis, 55 questions on food and beverage service, atmosphere, comfort, sanitation, and food quality were produced. This study tested how these choice factors affect customers' positive or negative impressions of their dining experiences through multiple regression analysis. Results indicate that 'food service' was the most important factor contributing to customers' positive impressions along with higher revisit behavioral intentions. On the contrary, respondents who received poor 'food service' had higher negative impressions with low revisit intentions. The results and findings of this study will positively influence marketing and customer relationship management and thus help design of successful strategies for food court development.

• Korean Institute of Interior Design Journal
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• v.25 no.2
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• pp.101-111
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• 2016

As globalization proceeds, transnational property development is increasing. Vietnam has began to experience a serious housing shortage throughout the urbanization process and they try to solve this housing problem in the city by development of New Town with an excellent technique. Of these, New city, Phu My Hung (PMH) is known as a very successful example. Therefore, this study researched 145 plan of 15 Apartment complexes which were completed after 2008 to analyse the plan characteristic of internal-external of Apartment in PMH New city in Ho Chi Minh City which effected the housing development in Vietnam. We collected the data from Internet and researched the characteristic of complex and an individual unit by visiting 6 Apartment complexes directly on Aug, 2014. In PMH, apartment has pattern of Mixed-use Apartment. There are stores on the 1st ad 2nd floor and consisted of 2 or 3 small complexes. They secure enough Green Space and Community Space and control visitor access for the safety of residents. Inside space organization is mainly consisted of 3LDK+2BATH and Public space and Private space is placed separately. Also, placed the Kitchen independently and it is quiet interesting that the entrance entry into the house directly from the external space.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.387-391
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• 2015

Currently, there is insufficient research on the construction management performance since the CM system was introduced in Korea. For successful completion of construction projects, active use of construction mangers on projects is necessary by introducing construction management to the projects. In view of this, this study analyzed the annual CM performance from 1996 to 2013 but for the past 5 years from 2009 to 2013, a detailed analysis was carried out. For different sectors, CM performances were divided into public and private sectors, for project types, construction, civil and others, for project phases, pre-design, design, construction and post-construction phases, for contract types, sole and joint contract types, for project scale, the amount of the projects was taken into consideration and they were divided into large, medium and small scales and for the types of projects, they were divided into, shops, department stores, shopping centers, hospitals, government buildings, hotels, accommodation facilities, factories, buildings for workshops, office buildings, stadiums, playgrounds, schools and other construction types and all the data divided into such categories was analyzed. The results in this study can be used as a basic reference for studies in analysing construction management performances.