• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.113-125
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• 2012

This study aims to understand the evaluation of importance, satisfaction and repurchase intention after dividing the attributes of environment-friendly fashion product in details. Out of 400 surveys, 328 were used in the final analysis of this study, with 113 respondents having experience of buying Environment-friendly fashion products. The analysis of this study is done by SPSS 18.0(ver.). Through the literature review, the objective attributes were subdivided into seven factors, including brand, environment-friendly materials, quality, environment-friendliness when using/managing, environment-friendliness when discarding, color/pattern, and environment-friendly design. Though an empirical study, the subjective attributes were subdivided into three factors, including innovation/individuality, practicality, and dignity/popularity. In the analysis results of the importance of the attributes of environment-friendly fashion products, it was shown that it was considered as importance as above average. The effect of the satisfaction of the objective attributes on the repurchase intention was measured. In the results, the regression model was significant while it was understood that the satisfaction of environment-friendly materials, environment-friendliness when discarding, color/pattern and environment-friendly design had positive effect on the repurchase intention. The effect of the satisfaction of the subjective attributes of environment-friendly fashion products on the repurchase intention was measured. In the results, dignity/popularity and innovation/individuality factors had positive effect on the repurchase intention.

• Fashion & Textile Research Journal
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• v.17 no.3
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• pp.372-381
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• 2015

This study investigates differences in fashion products attributes, mobile shopping mall attributes, impulse buying behavior, and satisfaction according to mobile shoppingconsumption value. The findings provide new information on marketing strategy for mobile shopping malls. A total of 283 usable questionnaires were obtained from college students. Data were analyzed by frequency analysis, factor analysis, and ANOVA using SPSS 21.0 for Windows. The results were as follows. First, according to the consumption value, consumer were classified into 3 groups: social/functional oriented, indifference and epistemic/emotional oriented. Second, the conspicuous-functional pursuit group considered utility and exhibition more important in regards to fashion products attributes for the consumption value group, the personality pursuit group also considered aesthetics and utility more important than other groups. Third, conspicuous-functional pursuit group considered continuous management more importantin regards to the importance ofmobile shopping mall attributes for the consumption value group, the personality pursuit group considered informationexchange more important than the other groups. Fourth, the conspicuous-functional pursuit group and Personality pursuit group considered impulse purchase behavior more important than the emotionalpursuit group. The conspicuous-functional pursuit group considered satisfaction after impulse purchase behavior more important than other groups.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.435-446
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• 2020

The objectives of this study are to understand the factors composing the attributes of mobile social-commerce shopping mall and the characteristics of shopping mall business, and also to verify the effects of those attributes on the shopping satisfaction and shopping mall loyalty. The respondents participating in this study are the consumers who have experiences in purchasing fashion clothing in mobile social-commerce shopping mall within the last one year. The results of this study are as follows. First, the personally-customized service and convenience of shopping mall had positive effects on the social-commerce shopping satisfaction. Second, the personally-customized service and diversity of products had positive effects on the shopping mall loyalty. Third, the reputation of shopping mall of the characteristics of social-commerce shopping mall business had positive effects on the shopping satisfaction and shopping mall loyalty. This study above could provide the important implications for the establishment of marketing strategies for vitalizing the fashion clothing market of social-commerce shopping mall.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.115-122
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• 2020

The purpose of this study is to develop the fabric electronics-based safety protection smart athleisure fashion for night riding. Based on the characteristic analysis of products being used during night riding, the fabric LED Display and fabric type capacitive touch sensor to emphasize human friendliness were designed in detachable form through an intuitive interface to develop the smart athleisure fashion of prototype. This is meaningful in that it proposed smart Athleisure fashion products differentiated from existing products, considering the functional aspects based on fabric electronics that emphasized human friendliness and the design aspects of the customized system that can diversify design through exchange and compatibility with other Athleisure products due to detachable form. Follow-up study will focus on the improvement of textile sensor fit for the physical properties of a textile with reinforced wearability and flexibility by using Fabric Electronics and proposed customized smart fashion based on it.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.185-190
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• 2022

Open data has a lot of economic value. Not only Korea, but many other countries are doing their best to make various policies and efforts to expand and utilize open data. However, although Korea has a large amount of data, the data is not utilized effectively. Thus, attempts to utilize those data should be made in various industries. In particular, in the fashion industry, exchange and refund problems are the most common due to unpredictable consumers. Better feedback is necessary for service providers to solve this problem. We want to solve it by showing improved images of dissatisfactions along with user reviews including consumer needs. In this paper, user reviews are analyzed on online shopping mall websites to identify consumer needs, and product attributes are defined by utilizing the attributes of K-fashion data. The users' request is defined as a dissatisfaction attribute, and labeling data with the corresponding attribute is searched. The users' request is provided to the service provider in forms of text data or attributes, as well as an image to help improve the product.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.57-76
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• 2017

Recently, consumer needs are diversifying as information technologies are evolving rapidly. A lot of IT devices such as smart phones and tablet PCs are launching following the trend of information technology. While IT devices focused on the technical advance and improvement a few years ago, the situation is changed now. There is no difference in functional aspects, so companies are trying to differentiate IT devices in terms of appearance design. Consumers also consider design as being a more important factor in the decision-making of smart phones. Smart phones have become a fashion items, revealing consumers' own characteristics and personality. As the design and appearance of the smartphone become important things, it is necessary to examine consumer values from the design and appearance of IT devices. Furthermore, it is crucial to clarify the mechanisms of consumers' design evaluation and develop the design evaluation model based on the mechanism. Since the influence of design gets continuously strong, various and many studies related to design were carried out. These studies can classify three main streams. The first stream focuses on the role of design from the perspective of marketing and communication. The second one is the studies to find out an effective and appealing design from the perspective of industrial design. The last one is to examine the consumer values created by a product design, which means consumers' perception or feeling when they look and feel it. These numerous studies somewhat have dealt with consumer values, but they do not include product attributes, or do not cover the whole process and mechanism from product attributes to consumer values. In this study, we try to develop the holistic design evaluation model based on consumer values based on three-step approach from product attributes, perceived attributes, to consumer values. Product attributes means the real and physical characteristics each smart phone has. They consist of bezel, length, width, thickness, weight and curvature. Perceived attributes are derived from consumers' perception on product attributes. We consider perceived size of device, perceived size of display, perceived thickness, perceived weight, perceived bezel (top - bottom / left - right side), perceived curvature of edge, perceived curvature of back side, gap of each part, perceived gloss and perceived screen ratio. They are factorized into six clusters named as 'Size,' 'Slimness,' 'No-Frame,' 'Roundness,' 'Screen Ratio,' and 'Looseness.' We conducted qualitative research to find out consumer values, which are categorized into two: look and feel values. We identified the values named as 'Silhouette,' 'Neatness,' 'Attractiveness,' 'Polishing,' 'Innovativeness,' 'Professionalism,' 'Intellectualness,' 'Individuality,' and 'Distinctiveness' in terms of look values. Also, we identifies 'Stability,' 'Comfortableness,' 'Grip,' 'Solidity,' 'Non-fragility,' and 'Smoothness' in terms of feel values. They are factorized into five key values: 'Sleek Value,' 'Professional Value,' 'Unique Value,' 'Comfortable Value,' and 'Solid Value.' Finally, we developed the holistic design evaluation model by analyzing each relationship from product attributes, perceived attributes, to consumer values. This study has several theoretical and practical contributions. First, we found consumer values in terms of design evaluation and implicit chain relationship from the objective and physical characteristics to the subjective and mental evaluation. That is, the model explains the mechanism of design evaluation in consumer minds. Second, we suggest a general design evaluation process from product attributes, perceived attributes to consumer values. It is an adaptable methodology not only smart phone but also other IT products. Practically, this model can support the decision-making when companies initiative new product development. It can help product designers focus on their capacities with limited resources. Moreover, if its model combined with machine learning collecting consumers' purchasing data, most preferred values, sales data, etc., it will be able to evolve intelligent design decision support system.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.2
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• pp.89-101
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• 2011

The economy blocking and price competitiveness caused by globalization has generated an on-going controversy of global sourcing among high-priced luxury brands. The consumers in the global market purchase luxury goods based on both craftsmanship and the reputation of luxury brands. Factors such as the origin, brand and pricing can affect the intention of consumers to buy luxury goods. This study analyzed the optimum brand combination using conjoint analysis. The analysis was based on the selection of origin, brand name and price as extrinsic factors among attributes of customer choice. These factors were subdivided into Italian and Chinese origins, Gucci, Prada, and Miu Miu in terms of brand names, and 450,000, 750,000, and 1,500,000 Won in terms of price levels. The result showed that origin was considered the most important factor followed by brand name and pricing. This tendency tells us that customers consider origin, brand name and price in that order when purchasing luxury brands. In regards to each factor, respondents preferred Italian to Chinese origins, the Gucci to Miu Miu brand name, and 750,000 to 450,000 won for price level. Generally, women in their 20s and 30s preferred products from advanced nations at a medium-level price.

• Korean Journal of Human Ecology
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• v.13 no.6
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• pp.943-957
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• 2004

The purpose of this study is to 1) understand the importance of brands, which are known as one of the key purchasing points to consumers today; 2) 10 clearly clarify the various attributes of goods well-known to consumers; 3) to research the effect of the goods attributes on brand attitude. We examined 465 consumers to understand a purchase or a shopping habit with national and non-brand. The study used SPSS 11.0 package for a data analysis. Then using varimax rotation, we employed a factor analysis to analyze the data and obtain Cronbach ${\alpha}$ value. For more specific data analysis, we conducted t-test, regression analysis, and x2 analysis. The results are as followings: 1. The goods attribute is classified into product attribute, shop attribute, and price attribute. The product attribute is divided into wearability, labeling of size and quality, aesthetic expression, brand expression-harmony, textile-suitability, manageability and product assortment. The shop attribute is into shop environment, shopping convenience, promotion, salesperson service, convenience of location, shop's reputation. The price attribute is into price reasonability, price value, price economy, and price information. 2. The product attribute is different, by national and non-brands, in wearability, labeling of size and quality, brand expression-harmony, textile-suitability, manageability. The shop attribute had a significant difference in environment of shop and its reputation, and the price attribute had one only in price economy. 3. The brand attitude was affected by wearability, aesthetic expression, shop environment, price value, and price information. 4. Also, there exists a difference by demographic variables(age, job, academic background, marriage, income level) in brand attitude. For example, national brands have its consumers with the following variables: higher education, higher income, professional job, over 20s, and married.

• Korean Journal of Human Ecology
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• v.21 no.5
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• pp.1005-1016
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• 2012

Recently, as growing number of consumers publish product and service reviews on the Internet, e-review has received attention from retailers and researchers. E-review, a form of electronic word-of-mouth (eWOM) which is typically shared between strangers whose identity and credibility are unknown, has become an important product information source as social media has facilitated information exchanges between more consumers. The objective of this study was to investigate the effects of e-review attributes on purchase intention for fashion products, which is mediated by trust of e-review, as well as to explore the differences between consumer communities and cooperative communities. A questionnaire was developed based on previous researches. Data were gathered from adults living in Busan. The results were analyzed by factor analysis, t-test, and regression using SPSS 18.0. The results showed that consumers tended to recognize e-reviews from consumer communities as exaggerated information, while they considered reviews from cooperative communities as reliable information, which gave the latter higher purchase intention. There were significant differences in e-review attributes for fashion products (e.g., Exaggeration, Entertainment, Innocence, and Agreement), purchase intention between consumer communities (e.g: Blog, Internet cafe) and cooperative communities (e.g: general malls and specialty malls). For both communities, purchase intention of fashion products was influenced by its entertainment attributes and perceived trust of e-reviews. These results suggest that e-retailers need to focus on understanding the causes of purchase intention with e-reviews for fashion products. Specifically, e-retailers should recognize that e-reviews of fashion products were associated primarily with entertaining and with consumers' trust. Based on these findings, managerial implications are presented.