• The Research Journal of the Costume Culture
• /
• v.27 no.1
• /
• pp.20-32
• /
• 2019

This study examined whether and how consumers who seek a bargain in their shopping for luxury fashion brands differ from traditional luxury consumers or non-luxury consumers on their market-related attitudes. To do so, this study compared multi-dimensional perceived values, fairness price perceptions, satisfaction with purchase, brand loyalty, and future purchase intention among luxury consumers, luxury-bargain seekers, and non-luxury consumers. Data was obtained from online surveys and the market-related attitudes were compared using an ANOVA test. The comparion of three types of consumers revealed that luxury-bargain seekers and regular luxury consumers are distinct consumer markets. Overall, luxury consumers displayed high perceived values and brand loyalty and were fairly satisfied with the purchase at full-prices. On the other hand, luxury-bargain seekers showed significantly low perceived social value, perceived fairness toward the original price of the brands, and brand loyalty. They were satisfied with the bargain purchase but not likely to purchase the luxury at full-prices in the future. Understanding these distinct types of consumers and targeting them with different product and pricing strategies are important for luxury brands and retailers to expand luxury consumer base without diluting their brands' prestige image. Potential marketing strategies based on the findings of this study were suggested.

• Journal of the Korean Society of Food Culture
• /
• v.38 no.2
• /
• pp.73-82
• /
• 2023

Since delivery food has become a new dietary culture, this study examines consumer awareness through big data analysis. We present the direction of delivery food for healthy eating culture and identify the current state of consumer awareness. Resources for big data analysis were mainly articles written by consumers on various websites; the collection period was divided into before and after COVID-19. Results of the big data analysis revealed that before COVID-19, delivery food was recognized as a limited product as a meal concept, but after COVID-19, it was recognized as a new shopping list and a new product for home parties. This study concludes by suggesting a new direction for healthy eating culture.

• Journal of the Korean Society for information Management
• /
• v.34 no.3
• /
• pp.89-107
• /
• 2017

This study aims to compare information seeking behavior of 1300K users on PC and mobile phone. Transaction logs of 1300K, a major Korean shopping search engine, were analyzed. These transaction logs were collected over 1 month period, from April 1 to April 31, 2016. The results of this study show that there are a little more mobile sessions than PC sessions. Users conducted slightly more browsing on PCs than mobile phones, whereas users submitted queries more than two times on mobile phones than on PCs. Users clicked more search results on PCs than mobile phones, whereas users made important decision makings such as product purchases more on mobile phones than PCs. Top queries and categories were similar between PCs and mobile phones. Queries and categories on mobile phones were more focused than queries on PCs. Overall, mobile search behavior is more simple, passive, and focused than PC search behavior. The results of this study can be implemented to the effective improvement and development of search services for different devices.

• Journal of Intelligence and Information Systems
• /
• v.10 no.2
• /
• pp.147-163
• /
• 2004

For the purchase of a cheaper product on the Internet, many customers have been trying to search online shopping mall sites and visit comparison-pricing shops that compare prices and other criteria of the product. Others have been participating into online auction markets or group-buying markets. However, a lot of online shopping malls, auction markets, and group-buying markets provide the same product with different prices. Since these marketplaces have different price settlement mechanism, it is very difficult for the customers to determine marketplace to purchase, considering different kinds of marketplaces at the same time. To overcome such limitations, decision rules and solution procedures for purchase decision making are necessary, which can cover multiple marketplaces simultaneously. For this purpose, purchase decision making in each market must be conducted to maximize customer's utility, and conflicts with other marketplaces must be resolved. Therefore, we have developed the rules and methods that can negotiate cooperatively the purchase decision making in several marketplaces, and designed an architecture of Intelligent Buyer Agent and a message structure to support the idea.

• Journal of Families and Better Life
• /
• v.32 no.2
• /
• pp.99-116
• /
• 2014

Domestic PB products have emerged and been distributed by hypermarkets, department stores, convenience stores, as well as TV home shopping channels and Internet shopping malls. However, the fierce competition among the distributors due to the emergence of the PB products have caused the diversion of consumers' recognition to be reduced weight and volume as well as had the effect of misleading consumers about the prices. The width of the PB product price's up and down is larger than the width of the NB product. Thus, following consumers' purchases of PB products, there has been an increasing number of consumer complaints. In order to research consumers' recognition of PB products and to examine how consumers' recognition and information search comparative to PB products affect consumers' dissatisfaction, an online survey targeted consumers with experience purchasing PB products. This study was conducted and analyzed using SPSS 19 Statistics. The findings can be summarized as follows. Even though more consumers who frequently purchased and used the PB products, the more they compared with information search comparative to the NB product and then purchased the PB product. We investigated the result that the relevant variables of consumer complaints have some relative influence in the purchasing of PB products. There will be a higher probability o the group having high recognition about price and safety not making consumer complaints in comparison with the probability of other consumers making complaints after the purchase of a PB product. Therefore, based on the results of this study, companies need to build a system so that they can figure out consumers' needs in order to prevent the occurrence of consumer complaints related to the products of distribution companies' brands. By means of the system, it is also necessary for companies to collect consumer complaints and analyze them by category. Then they eventually should develop a consumer-centered management system which may contribute to quality improvement, product development and the reduction of consumer complaints.

• International Area Studies Review
• /
• v.17 no.4
• /
• pp.133-153
• /
• 2013

This study was to estimate the economic value of Gaecheon Arts Festival in Jinju, Korea. To measure the value of the festival, improved travel cost measurement that applied new weight concept from the Travel Cost Measurement(TCM) proposed by Peares(1972) was used. The total value was evaluated to approximately 2,270.057 billion KRW. The result showed that travel cost items affecting on economic value of the festival were transportation, food and beverage, shopping, accommodation, amusement and entrance fee in order. The effect of accommodation due to the visitors' surplus was small, due to day trip participation trend??. Because accommodation, shopping and entrance fee, therefore, directly affect the regional economy, it is necessary for festival planning party to develop the program for tourist accommodation and so forth. Finally, this study will contribute to the development of local festivals through the more objective, clear comparison and measurement of economic value between local festivals using improved travel cost estimation method.

• Journal of Internet Computing and Services
• /
• v.25 no.4
• /
• pp.47-56
• /
• 2024

This paper proposes a method for fine-tuning BERT-based natural language processing models to perform sentiment analysis on Korean review data. By varying the input sequence length during this process and comparing the performance, we aim to explore the optimal performance according to the input sequence length. For this purpose, text review data collected from the clothing shopping platform M was utilized. Through web scraping, review data was collected. During the data preprocessing stage, positive and negative satisfaction scores were recalibrated to improve the accuracy of the analysis. Specifically, the GPT-4 API was used to reset the labels to reflect the actual sentiment of the review texts, and data imbalance issues were addressed by adjusting the data to 6:4 ratio. The reviews on the clothing shopping platform averaged about 12 tokens in length, and to provide the optimal model suitable for this, five BERT-based pre-trained models were used in the modeling stage, focusing on input sequence length and memory usage for performance comparison. The experimental results indicated that an input sequence length of 64 generally exhibited the most appropriate performance and memory usage. In particular, the KcELECTRA model showed optimal performance and memory usage at an input sequence length of 64, achieving higher than 92% accuracy and reliability in sentiment analysis of Korean review data. Furthermore, by utilizing BERTopic, we provide a Korean review sentiment analysis process that classifies new incoming review data by category and extracts sentiment scores for each category using the final constructed model.

• Korean Institute of Interior Design Journal
• /
• v.23 no.2
• /
• pp.136-146
• /
• 2014

As of 2010, apartment occupies more than half of all houses in Korea. It took just half a century since 1960 when apartment was introduced to ordinary people for the first time. The apartment has spread over the nation very swiftly since then. This phenomena needs more inclusive explanations than the investigations into the government's policies or economical situations. Without satisfaction and consensus of people, the universal spread of apartment might be fairly unrealizable. In this vein, the research and analysis has been performed in order to grasp the picture of everyday life's discourse based on the related articles from five major newspapers and five women's magazines during 1960~1989. From the articles' discourses we tried to understand how modern apartment has been accepted and evaluated through people's living life in it. First, the discourse of living life was generated mostly by housewives through the comparison between apartment and traditional house. Second, the most influential aspect of apartment's popularization was the convenience of efficient housekeeping system by modern equipment and home appliance installed in apartment. This efficiency could allow housewives to perform various urban activities such as work, shopping, and simple going out. Third, the satisfaction from efficiency and privacy brought about a sense of alienation at the same time. As a result, the rapid proliferation of apartment in Korea could be attained not only by the institutional driving forces but through the fulfillments of Korean people's housing needs from modern everyday life.

• Journal of the Korean Data and Information Science Society
• /
• v.20 no.6
• /
• pp.1129-1143
• /
• 2009

This paper proposes a recommendation system (Association Rule System for Targeting) which considers target which is not considered by previous Logistic Regression system, and proves that the efficiency of the recommendation system is better than that of the current and previous Apriori algorithm system. Also this study shows that the click and purchasing rate of the proposed Association Rule System for Targeting is much higher than those of current Apriori algorithm system after the purchasing campaign even though the open rate of the former is lower than that of the latter. In comparison with Logistic Regression methodology, this paper proves with experimental data that the purchasing effect of the proposed system for specific items is much higher in accuracy than that of current Apriori algorithm system even though the purchasing rate of current Apriori algorithm system is higher in whole shopping malls than that of the proposed Association Rule System for Targeting.

• Journal of Fashion Business
• /
• v.18 no.6
• /
• pp.38-56
• /
• 2014

This study compared the flared skirts on 3D simulation and in real to show diverse forms in women's clothing depending on the body's gait and motion. By finding the problems, we suggested the possible methods for utilizing the 3D simulation in the clothing industry. First, the 3D simulation of flared skirts showed similar forms of appearance according to the flare length and volume. However, virtually formed drape shape was even in size and spacing, whereas it was not even in real. Second, according to the results of appearance test on the length and flare volume at $90^{\circ}$ and $180^{\circ}$, both real and 3D simulation skirts were evaluated to have outstanding appearances regardless of the skirt length. However, as the flares volume increased, the skirts with longer length were evaluated to have superior appearances compared to the skirts of shorter length. Third, it showed higher resemblance between the real and virtual simulation, when the skirt had less flare and as the skirt length shortened. However, it showed greater difference between the real and virtual simulation when flare volume and length increased. The length and volume of the skirt and the physical properties of the material are predicted to be different between the real and virtual simulation. However, they usually are similar in forms, so it is believed possible to use for predicting the design's silhouette or the feel when it is worn. This method can be applied on internet shopping malls, which can possibly reduce unnecessary time and expenses.