• Journal of the Korean Society of Costume
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• v.57 no.3 s.112
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• pp.90-107
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• 2007

Modernization movement has affected classical operas. Today, classical operas are often re-interpreted from the modern perspective and played differently only with the storyline maintained. Also, operas are increasingly performed outside traditional theaters as the boundaries between stage and audience become less obvious. Accordingly, stage costumes are being differently designed than before. New attempts are being made to look costumes in a harmony with increasingly streamlined stage machinery. This helps increase public attention on operas, consequently promoting the opera industry. This study examines modernization of opera costumes. For this study, the author worked as one of costume design staff for "Faust," which was played in Sungnam Art Center from November 24, 2005 to November 27, 2005 in commemoration of the opening of the center. The following outcomes of the crowd are drawn from this study. A variety of splendid pink dresses, ribbons, dolls, hand mirror, and hair bands were used to express haughty girls with "Princess Syndrome." Fashion models, the envy of all woman, wore fashionable clothes including luxury dresses, fur-coats, high heels, purses, and hats, Models also had big shopping bags and gift boxes to symbolize shopping lovers in a modern society. Gay men wore tight leather trousers and vest and sleeves shirts with deeply cut neckline to express their preference for feminie style. their clothes were splendid colors that normally women liked such as gold, purple, light green, scarlet, and silver. Soldiers were in combat uniform representing their participation in the war. In particular, clothes stained with dirt, iron helmet, crutches, and canteens were used to vividly express soldiers coming back home from the war. Modern opera costumes now help reduce the time and space between stage and audience, improve economic efficiency, and meet the audience's needs for various style.

• Journal of Distribution Science
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• v.17 no.4
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• pp.69-76
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• 2019

Purpose - The purpose of this study is to examine the effect of basic value satisfaction on service quality evaluation and customer loyalty and the moderating effect of Bargain-proneness in this process. Specifically, I analyzed the influence of basic value satisfaction, the mediating effect of service quality evaluation, and the moderated mediation effect of Bargain-proneness. Research design, data, and methodology - Data collection for this study was conducted for adults over 18 years of age with shopping experiences in traditional market within a month around the traditional market in the metropolitan area. A total of 250 questionnaire response data was obtained. Hypotheses were tested using SPSS. The PROCESS macro method was used to verify the mediating effect of the service quality evaluation on the relationship between basic value satisfaction and customer loyalty. Hierarchical regression analysis was performed to analyze the moderated mediation effect of the bargain-proneness tendency. Results - Empirical results showed that the basic value satisfaction affected service quality evaluation and customer loyalty. Specifically, it has been found that it directly affects customer loyalty and indirectly influences through service quality evaluation. The moderated mediation effect of the bargain-proneness tendency in the process of basic value satisfaction affecting customer loyalty through service quality evaluation has been verified. In other words, the higher the bargain-proneness tendency, the more influence the basic value satisfaction has on the favorable service quality evaluation. Conclusions - This study contributed to the distribution literature in that it attempted a new empirical study considering the variable 'bargain-proneness tendency', which had not received much academic attention in the past. Furthermore, this study contributed academically in that it presented important moderating variables that should be paid attention in the field of distribution studies. In this study, bargain-proneness was used with a focus on traditional markets, but this variable could play an significant role in future offline distribution studies that should pay attention to meet hedonic needs of shopping. These results suggested that traditional market practitioners should focus on the basic value and that the bargain-prone consumer segment should be considered as a target.

• Fire Science and Engineering
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• v.16 no.4
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• pp.20-27
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• 2002

This study in focused on proposing the improvement plans for refuge and fire-fighting facilities in large shopping malls that are radically spreading. The main subjects are as follows. - The refuge measure for large shopping malls - Problems of installing the refuge facilities in stores and the solutions - Problems of installing the incendiary facilities in stores and the solutions - Problems of installing the indoor fire plug in stores and the solutions As result of the study, it has turned out that escape stairs which are set up according to the standard of size in the process of design plan, have to be decided for their amount, position, specification, etc, in consideration of the number of residents. It is also required to tighten a standard of installing a sprinkler instead of lightening the fire-fighting section in stores, considering obstacles due to facilities installed and procurement of the escape path. In addition, it needs to lighten a standard of installing the indoor fire plug, which is voluntarily set up at the store section incase of installing a sprinkler to make a practical fire-fighting facility available.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.1
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• pp.33-38
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• 2006

In this paper, we propose implementation of 3D fashion show animation based on web which needs a construction of 3D fashion shopping mall. The 3D model made by 3D MAX program was exported XML type and displayed on web using ActiveX of D3D library. For the purpose of fashion show animation of 3D model in various clothes which selected by customer of shopping mall, we design the parts of standard clothes with hierarchical structure and assemble them. Next, we are mapping the various textures to them and animate 3D model in similar clothes which selected by customer on web.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.458-470
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• 2021

In Korea, there are many cases where policy decisions are not made even though it is a big social issue. Usually, the reasons for such delay in policy making are cases where it is delayed to go through an appropriate policy procedure, and there are cases where the consent of stakeholders is not obtained. But, this study intends to suggest that a few policy delay in Korea can be explained by intentional non-decision-making by the government. Non-decision making is being made as a strategic and active strategy of the government. In this study, the case of Lotte Shopping Mall in Sangam was analyzed from the point of view of non-decision making. As a result of analysis based on factors such as the existence of elite, purpose, policy tool, policy process, and result, it can be assumed that the policy delay of the Lotte Shopping Mall was caused by the government's active strategic decision. The government's strategic non-decision-making, which is distinct from passive administration, needs to be reviewed in various ways in the future.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.6
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• pp.223-234
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• 2021

Recent advances in the 4th Industrial Revolution have accelerated the change of the shopping behavior from offline to online. Search queries show customers' information needs most intensively in online shopping. However, there are not many search query research in the field of search, and most of the prior research in the field of search query research has been studied on a limited topic and data-based basis based on researchers' qualitative judgment. To this end, this study defines the type of search query with data-based quantitative methodology by applying machine learning to search research query field to define the 15 topics of search query by conducting topic modeling based on search query and clicked document information. Furthermore, we present a new classification system of new search query types representing searching behavior characteristics by extracting key variables through principal component analysis and analyzing. The results of this study are expected to contribute to the establishment of effective search services and the development of search systems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1293-1304
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• 2022

The personalization recommendation system means analyzing each individual's interests or preferences and recommending information or products accordingly. These personalized recommendations can reduce the time consumers spend searching for information by accessing the products they need more quickly, and companies can increase corporate profits by recommending appropriate products that meet their needs. In this study, products are recommended to consumers using collaborative filtering, matrix factorization, and deep learning, which are representative personalization recommendation techniques. To this end, the data set after purchasing shopping mall products, which is raw data, is pre-processed in the form of transmitting the data set to the input of the recommended system, and the pre-processed data set is analyzed from various angles. In addition, each model performs verification and performance comparison on the recommended results, and explores the model with optimal performance, suggesting which model should be used when building the recommendation system at the mall.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.123-145
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• 2008

Recently, as the information communication technology develops, the discussion regarding the ubiquitous environment is occurring in diverse perspectives. Ubiquitous environment is an environment that could transfer data through networks regardless of the physical space, virtual space, time or location. In order to realize the ubiquitous environment, the Pervasive Sensing technology that enables the recognition of users' data without the border between physical and virtual space is required. In addition, the latest and diversified technologies such as Context-Awareness technology are necessary to construct the context around the user by sharing the data accessed through the Pervasive Sensing technology and linkage technology that is to prevent information loss through the wired, wireless networking and database. Especially, Pervasive Sensing technology is taken as an essential technology that enables user oriented services by recognizing the needs of the users even before the users inquire. There are lots of characteristics of ubiquitous environment through the technologies mentioned above such as ubiquity, abundance of data, mutuality, high information density, individualization and customization. Among them, information density directs the accessible amount and quality of the information and it is stored in bulk with ensured quality through Pervasive Sensing technology. Using this, in the companies, the personalized contents(or information) providing became possible for a target customer. Most of all, there are an increasing number of researches with respect to recommender systems that provide what customers need even when the customers do not explicitly ask something for their needs. Recommender systems are well renowned for its affirmative effect that enlarges the selling opportunities and reduces the searching cost of customers since it finds and provides information according to the customers' traits and preference in advance, in a commerce environment. Recommender systems have proved its usability through several methodologies and experiments conducted upon many different fields from the mid-1990s. Most of the researches related with the recommender systems until now take the products or information of internet or mobile context as its object, but there is not enough research concerned with recommending adequate store to customers in a ubiquitous environment. It is possible to track customers' behaviors in a ubiquitous environment, the same way it is implemented in an online market space even when customers are purchasing in an offline marketplace. Unlike existing internet space, in ubiquitous environment, the interest toward the stores is increasing that provides information according to the traffic line of the customers. In other words, the same product can be purchased in several different stores and the preferred store can be different from the customers by personal preference such as traffic line between stores, location, atmosphere, quality, and price. Krulwich(1997) has developed Lifestyle Finder which recommends a product and a store by using the demographical information and purchasing information generated in the internet commerce. Also, Fano(1998) has created a Shopper's Eye which is an information proving system. The information regarding the closest store from the customers' present location is shown when the customer has sent a to-buy list, Sadeh(2003) developed MyCampus that recommends appropriate information and a store in accordance with the schedule saved in a customers' mobile. Moreover, Keegan and O'Hare(2004) came up with EasiShop that provides the suitable tore information including price, after service, and accessibility after analyzing the to-buy list and the current location of customers. However, Krulwich(1997) does not indicate the characteristics of physical space based on the online commerce context and Keegan and O'Hare(2004) only provides information about store related to a product, while Fano(1998) does not fully consider the relationship between the preference toward the stores and the store itself. The most recent research by Sedah(2003), experimented on campus by suggesting recommender systems that reflect situation and preference information besides the characteristics of the physical space. Yet, there is a potential problem since the researches are based on location and preference information of customers which is connected to the invasion of privacy. The primary beginning point of controversy is an invasion of privacy and individual information in a ubiquitous environment according to researches conducted by Al-Muhtadi(2002), Beresford and Stajano(2003), and Ren(2006). Additionally, individuals want to be left anonymous to protect their own personal information, mentioned in Srivastava(2000). Therefore, in this paper, we suggest a methodology to recommend stores in U-market on the basis of ubiquitous environment not using personal information in order to protect individual information and privacy. The main idea behind our suggested methodology is based on Feature Matrices model (FM model, Shahabi and Banaei-Kashani, 2003) that uses clusters of customers' similar transaction data, which is similar to the Collaborative Filtering. However unlike Collaborative Filtering, this methodology overcomes the problems of personal information and privacy since it is not aware of the customer, exactly who they are, The methodology is compared with single trait model(vector model) such as visitor logs, while looking at the actual improvements of the recommendation when the context information is used. It is not easy to find real U-market data, so we experimented with factual data from a real department store with context information. The recommendation procedure of U-market proposed in this paper is divided into four major phases. First phase is collecting and preprocessing data for analysis of shopping patterns of customers. The traits of shopping patterns are expressed as feature matrices of N dimension. On second phase, the similar shopping patterns are grouped into clusters and the representative pattern of each cluster is derived. The distance between shopping patterns is calculated by Projected Pure Euclidean Distance (Shahabi and Banaei-Kashani, 2003). Third phase finds a representative pattern that is similar to a target customer, and at the same time, the shopping information of the customer is traced and saved dynamically. Fourth, the next store is recommended based on the physical distance between stores of representative patterns and the present location of target customer. In this research, we have evaluated the accuracy of recommendation method based on a factual data derived from a department store. There are technological difficulties of tracking on a real-time basis so we extracted purchasing related information and we added on context information on each transaction. As a result, recommendation based on FM model that applies purchasing and context information is more stable and accurate compared to that of vector model. Additionally, we could find more precise recommendation result as more shopping information is accumulated. Realistically, because of the limitation of ubiquitous environment realization, we were not able to reflect on all different kinds of context but more explicit analysis is expected to be attainable in the future after practical system is embodied.

• Journal of the Korean association of regional geographers
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• v.6 no.2
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• pp.21-40
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• 2000

The retail trades in many countries have changed recently according to the high quality, diversification, and marked individuality of consumer needs. Under the continually competing system of the WTO agreement, corporations based in the USA and the EU try to raise their market share in other countries so it is inevitable for Korean retail enterprises to compete with them. This paper is aimed at contributing to the efficient growth for Korean retail trade from the analysis of the development process in retail trade and its changing locations comparing Korea and the USA. Retailers in the USA have practiced diversified marketing strategies considerably in order to survive in a rapidly changing retailing environment. American retailing, which has the most advanced marketing system in the world, has been of growing concern to marketing strategies in Korea. The following is a brief summary of this study. 1. Speedy and higher quality consumption is needed in accordance with the great increase in the single-family household and the female labor force participation both in Korea and in the USA. Senior citizens have become a new consumer group due to the aging population. In the future the retail trade will switch over to diversified retail formats and internet shopping as countries are transformed into information and communication societies. 2. In Korea, the former retail system characterized by markets and department stores has been greatly changed since the late 1980s with emphasis on high quality and convenience in consumption behaviors, with large domestic enterprises and foreign distribution corporations participating in Korean retailing. In the USA, retailing mergers and takeovers by major retails, bankruptcies, and extra-large shopping centers have emerged since the late 1980s. Recently, the USA retailing formats have been changed from the lower price-oriented discount types to the large scale theme parks. Much emphasis was put on entertainment, resorts, and convention centers. On the other hand, non-store types, such as the internet shopping, the CATV shopping, as well as catalog and mail-order sales are drastically increasing, although the proportion of their sales is low up to now. 3. In Korea, most of the retail facilities are concentrated in Seoul and the Metropolitan Region, and the distribution ratio of facilities came to 52% in 1997. The periodic markets, traditional markets which open on a periodic basis, are located mainly in Chollanam-do and Kyungsangbuk-do. The large-sized discount stores have expanded their locations to the over-crowded apartment complexes in new towns, located in the Metropolitan Region, and the large provincial cities, unlike the suburban locations in the USA. Therefore we needed to give attention to the locational relations in retail facilities between Seoul & the Metropolitan Region and rural settlement areas. In the USA, urban areas grew quickly with the development of the automobile in the 1920s, and the location of stores changed from a dispersed style centering around rural areas to a centralized one in urban areas. There is an accelerated growth for suburban areas, which have grown rapidly since 1950. As the membership warehouse clubs were introduced in the 1970s, the decentralization of location was more intensified. On the other hand, inner cities were revitalized by rearranging existing facilities to cope with suburban areas. And the location-free virtual retailing & TV shopping are also growing every year. 4. In view of the above, the continuous and desirable development devices in Korean retail trade are summarized as follows: First, the countermeasures against economies of scale, increase in retailing sales, and rise of a employment percentage in retailing are in need. Second, a scheme of lowering the proportion of food retail sales, and increasing a ratio of durable goods sales need to be worked out. Third, the original ideas are needed to apply positively information, communication and technology to retailing, to graft the traditional types on modem ones based on the social culture. Fourth, strategies are needed to strengthen the competitiveness of our retail trade through cooperation and chains of smaller retailers, the large enterprises participating in the distribution industry. Fifth, in order to realize the above, the retail industry, the administration, and the academic world should support the retail segment with concern and a practical strategy plan.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.