• The Research Journal of the Costume Culture
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• v.27 no.3
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• pp.285-297
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• 2019

Retail firms have begun to pursue the marketing strategies, which stimulate consumers' sensibility and lead people to purchase their products. The visible effects of visual merchandising (VM) arouse consumers' interest and play an effective role in having busy people efficiently choose products. Apparel retail stores such as SPA use the offline store to be the experiential environment of their branding. Consumers' sensitivity and response toward various visual merchandising strategies needs to be accessed. The purpose of this study is to identify VM consciousness and VM evaluation attribute factors. Relationship of such variables with other variables were accessed. As consequence variables, product satisfaction and unplanned purchase behavior were included in the study. An empirical survey data was collected from men and women of various ages. Results indicated that VM consciousness and VM evaluation attribute factors were not correlated with consumer demographic variables. VM evaluation attributes were factored into appropriateness, attractiveness and functionality dimensions. Clothing involvement and brand orientation significantly influenced product satisfaction and unplanned purchase. The direct and indirect effect (via VM consciousness) were significant. For unplanned purchase, brand orientation only had indirect effect. The influence of VM evaluation attribute factors were significant. Appropriateness had stronger effect on product satisfaction whereas attractiveness had stronger effect on unplanned behavior. Functionality dimension had only indirect effect on product satisfaction but did not show significant direct and indirect effects on unplanned purchase. This study identified the pivotal role of VM consciousness in various shopping and purchasing circumstances in offline retail store of apparel brands.

• Journal of the Korean Home Economics Association
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• v.40 no.1
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• pp.99-112
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• 2002

The purpose of this study was to examine characteristics of online consumer groups by information seeking type and to identify the variables influencing consumers'purchase intention of internet fashion product shopping by consumer groups. A questionnaire was administered to 456 adults who had purchasing experience at fashion outline shopping mall. SPSS 9.0 package was used for data analysis. Factor analysis, ${\chi}^2$-test, t-test, frequency, percentage, one-way ANOVA and stepwise regression analysis were utilized. The online store attribute dimensions of fashion online shopping main were tangibility, variety, marketing promotion, responsiveness, reputation, price and convenience. The online store attributes had directly different influences in the purchase intention of Internet fashion product shopping by online consumer groups. Outline information seeking type who had higher variety and reputation perceptions had more positively affected on the purchase intention of internet fashion product shopping. Offline information seeking type who had higher tangibility and variety perceptions had significantly positive influence on the purchase intention of it. Combination(online+offline) information seeking type who had higher price and responsiveness perceptions had positive impact on purchase intention of it.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.259-266
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• 2023

In this paper, we propose an algorithm that can improve the accuracy performance of collaborative filtering using attribute-based opinion mining (ABOM). For the experiment, a total of 1,227 online consumer review data about smartphone apps from domestic smartphone users were used for analysis. After morpheme analysis using the KKMA (Kkokkoma) analyzer and emotional word analysis using KOSAC, attribute extraction is performed using LDA topic modeling, and the topic modeling results for each weighted review are used to add up the ratings of collaborative filtering and the sentiment score. MAE, MAPE, and RMSE, which are statistical model performance evaluations that calculate the average accuracy error, were used. Through experiments, we predicted the accuracy of online customers' app ratings (APP_Score) by combining traditional collaborative filtering among the recommendation algorithms and the attribute-based opinion mining (ABOM) technique, which combines LDA attribute extraction and sentiment analysis. As a result of the analysis, it was found that the prediction accuracy of ratings using attribute-based opinion mining CF was better than that of ratings implementing traditional collaborative filtering.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.45-71
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• 2006

Questionnaire data of 287 patrons of Tesco's Homeplus, Carrefour, Ermart, and Wal-rnart in the northern Daegu, Korea, using a structural equation model, were analyzed to investigate the hierarchical effects of values on discount store re-patronage intention as a measure of store loyalty, mediated by customers' evaluations of store associations. It was revealed that while customers' social affiliation value has a positive effect on store atmosphere evaluation, customers' self-actualization value has a positive impact on both after-sale service and employee services. It was also revealed that three associations such as access to a store, interior design, and employee services in their descending order have strong positive influences on the formation of customers' re-patronage intention. Theoretical and managerial implications are discussed in the conclusion.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.137-145
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• 2017

The purpose of this study is to suggest the measures to measure the shopping satisfaction and to increase the shopping satisfaction. We conducted surveys and conducted empirical analysis on Chinese tourists visiting duty free shops in Busan using direct survey method. The results of this study are as follows. First, factor analysis for subdividing the duty - free choice attribute was analyzed as store attribute, product attribute, and service attribute. Second, based on this analysis, the effect of each attribute on shopping satisfaction showed statistically significant positive results. Third, the analysis of the relative size of the effects of analytic attributes on satisfaction showed that store attributes were the highest. That is, the quality of duty-free shops, services, and products increases overall shopping satisfaction. Therefore, it can be said that the strategy implementation that improves the quality of the attributes affecting the satisfaction is expected to contribute to the improvement of the management performance, and suggests the management implications for the activation of the operation of the duty - free shop. Future studies will be more meaningful if more variety of shopping places are studied.

• Journal of Fashion Business
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• v.19 no.6
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• pp.127-138
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• 2015

Due to the virtual nature of online businesses, online apparel stores need to enhance the consumer experience by utilizing store design attributes to provide their customers relevant and sufficient information. Since online apparel stores mainly communicate with their customers virtually and digitally, it is important to understand how consumers perceive and react to different design attributes commonly found on apparel stores' online websites. The purpose of this paper is to examine the importance of design attributes commonly found on online apparel stores' websites using three different importance measurements. The design attributes examined in this study include enlarged pictures, product detail pictures, product reviews by other buyers, coordinating items, and size measurement charts. The three different measurements used in this study include two direct measures and one indirect measure using conjoint analysis. Across the three different measures, both the men and women indicated that enlarged pictures represent the most important design attribute when they purchase clothes online followed by size measurement charts and they considered the availability of coordinating items the least important design attribute.

• Journal of the Korean Home Economics Association
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• v.39 no.10
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• pp.55-67
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• 2001

The purpose of this study were 1) to find out the benefits sought factors and segment the customers of internet shopping mall, 2) to find out the store image factors of internet shopping mall, and 3) to analyze the internet shopping mall market using perceptual map of segmented groups. The questionnaires dealing with attribute dimension of internet shopping mall image, benefits sought, and demographic variables were selected from the previous studies or were developed for this study. The data from 319 respondents which were collected through the internet survey site was analyzed by factor analysis, cluster analysis, one-way ANOVA, and $X^2$-test. The results of this study were as follows: 1. Benefit sought by consumer in internet shopping malls was found to include six different factors: assortments of products, search efficiency, brand/fashionability, delivery convenience, promotion service and informativeness. 2. As a result of subdividing the consumers, four distinctive groups were formed on the basis of benefit factors: multi-benefit oriented group, convenience oriented group, brand oriented group and low-benefit oriented group. Demographic traits such as education and income level were proven to significantly differentiate the benefit segments. 3. In the structural components of internet shopping-malls image, product/information, service/convenience and economy were drawn from attribute dimensions. 4. 12 perceptual maps of internet shopping mall image were constructed and each ideal vector were drawn.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.4
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• pp.584-598
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• 2018

This study classified respondents by consumption value and analyzed differences in the purchase behavior of men's suits among consumption value groups. Frequency analysis, factor analysis, cluster analysis, and analysis of variance were conducted in order to analyze research problems. Factor analysis results showed that male consumption values included safety-oriented value, individuality-oriented value, others-oriented value, pleasure-oriented value, aesthetic-oriented value, low price-oriented value, community-oriented value, utility-oriented value, innovation-oriented value, and self-expression oriented value. The study divided respondents into personal satisfaction pursuit group, beauty & functionality pursuit group, individuality pursuit group, and others-oriented & low cost preference group according to consumption value. There were significant differences in selection criteria for men's suit (product image, physical properties of product, and brand name), selection reasons of brand (fashion & ostentation, individuality, and refinement), store attributes (store environment/salesperson service, reputation/additional service, and product assortment/shopping convenience).

• Fashion & Textile Research Journal
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• v.13 no.1
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• pp.44-54
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• 2011

This study aims to clarify the asset evaluation attributes of imported brands exclusively by department stores based on qualitative study. For the qualitative research, hands-on staff of the branch office who had at least 5 years experience in PB-related positions at one of the four domestic department stores(Lotte, Shinsegae, Hyundai, Galleria), and at least 20 years old adults who had purchased imported brand items exclusively by a certain department store(Shinsegae, Lotte) were included. The asset evaluation attributes of department store-exclusively imported brands were drawn up through the one-to-one in-depth interview method. As a result of qualitative study on the asset evaluation attributes of department store-exclusive importation brands, it turned out that there were 4 factors in view of business entity - stability, profitability, growth potential, and relationship, and that there were 6 factors in view of consumers - product quality, recognition, country of origin, image, preference, and reliability. In comparison with the existing preliminary study, it was notable that relationship in view of business entity, and country of origin in view of consumers were added to the asset elements.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.11
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• pp.779-788
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• 2013

With a wide dissemination of smartphones, the number of native applications developed and sold freely by anyone is growing now. The application market activated by Apple's App Store is spreading more rapidly with Google's Google Play. But due to platform-dependent of native application's attribute, developers are programming at each platform. As a result, development cost is increasing compared to earnings. To solve a dependency problem, people focused on web application developed by web-based language. However, stores at each browser are requiring a web application to follow manifest format. And this causes browser-dependent problem. Those problems can be solved by installing a certain browser, but this can make an application useless on the other browser of a store. Dependency problem can narrow not only user's application variation, but also concentration on some specific store. OWS(Open Web Store) is a standard store that supports various web environments. It overcomes browser or platform dependency problems by interworking applications between stores. Also customers are able to choose a large number of applications. In this paper, related to OWS, I would like to suggest manifest standards and store's reference architecture. An interworking scenario is going to be proposed as well.