• Journal of Fashion Business
• /
• v.26 no.3
• /
• pp.33-49
• /
• 2022

In the metaverse, it is important to embellish aesthetics of user with a character called 'Avatar', a virtual representation of the user. This study provides basic data related to the fashion trend of the metaverse by studying 'Zepeto', a representative Korean platform. For empirical research, Zepeto's "Best Items" section were investigated and analyzed in the first pre-survey. Based on this, the second and main survey was conducted using a questionnaire to investigate users' style-specific preferences and purchasing behaviors for virtual fashion, comparing style preferences between virtual and real, brand preferences, and purchasing behaviors of virtual fashion. The survey found that most users were teenage girls with a high preference for pastel-toned, feminine, and cute casual styles who had a much higher interest in brands bearing idol names than in real-world luxury brands. Many responded that they felt burdened by purchasing items that had to be purchased for cash. The same can be assumed to be the reason why they preferred a suit of items that were fully coordinated rather than individual items. These results seem to reflect characteristics of teenage girls who lack cash with a high preference for idols and feminine-cute casual styles. This study suggests considerations when creating virtual fashion items. By providing basic information, more effects and developments in creating virtual fashion items that reflect consumer preferences and reactions are expected in the future.

• Journal of Fashion Business
• /
• v.14 no.6
• /
• pp.134-145
• /
• 2010

The purpose of this study is 1) to investigate the contents of fashion brand applications and what differences and 2) to scrutinize the reviews of the applications uploaded on the app store in order to suggest strategies on how to apply them to fashion. For the study, twenty-nine free applications from different categories of the fashion brands and three hundred sixty-two reviews of these applications were investigated. The analysis of the study was conducted from June 20th to November 10th of 2010. The results showed that there are four important components for fashion brand applications: conventional information (product information and store information), the purchasing function, the fun element (social networking, blogging, music etc), and the augmented reality technique. These components are formulated based on the brand's marketing strategies. In order to know whether or not these components were successfully composed, user reviews were studied, which revealed that many users were satisfied, but the applications were insufficient to meet all of their needs.

• Journal of Fashion Business
• /
• v.26 no.1
• /
• pp.1-15
• /
• 2022

Digital transformation has induced changes in human life patterns; consumption patterns are also changing to digitalization. Entering the era of industry 4.0 with the 4th industrial revolution, it is important to pay attention to a new paradigm in the fashion industry, the shift from developer-centered to user-centered in the era of the 3rd industrial revolution. The meaning of storing users' changing life and consumption patterns and analyzing stored big data are linked to consumer sentiment. It is more valuable to read emotions, then develop and distribute products based on them, rather than developer-centered processes that previously started in the fashion market. An AI(Artificial Intelligence) deep learning algorithm that analyzes user emotion big data from user experience(UX) to emotion and uses the analyzed data as a source has become possible. By combining AI technology, the fashion industry can develop various new products and technologies that meet the functional and emotional aspects required by consumers and expect a sustainable user experience structure. This study analyzes clear and useful user experience in the fashion industry to derive the characteristics of AI algorithms that combine emotions and technologies reflecting users' needs and proposes methods that can be used in the fashion industry. The purpose of the study is to utilize information analysis using big data and AI algorithms so that structures that can interact with users and developers can lead to a sustainable ecosystem. Ultimately, it is meaningful to identify the direction of the optimized fashion industry through user experienced emotional fashion technology algorithms.

• The Research Journal of the Costume Culture
• /
• v.9 no.3
• /
• pp.412-432
• /
• 2001

Internet search engines are used by the majority of find information on the Web. However, Web users can be often dissatisfied with the mistakes in the retrieval of ‘Fashion’ information from the Internet. The purpose of this study is to analyze the ‘Fashion’ category structure in the Internet search engines. There are 2 steps for achieving it: the first, to investigate the structures of ‘Fashion’ categories and then, to analyze the gap between ‘Fashion’ categories defined by them and extensive ‘Fashion’categories, which are approached on 2 sides of the fashion-life and fashion-business. We select 5 major search engines for the case study: Yahoo, Lycos, Naver, Hanmir, Empas, which ranked as top 5 of total search engines and potal sites in February, 2001, and retrieve ‘Fashion’ categories from the first level to the last level by using both “topics retrieval”. Eventually, we can find the problems of ‘Fashion’ category structure in search engines. Also, it is concluded with a brief perspective of ‘Fashion’ categories in the Internet search engines and the implications for the future.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.26 no.1
• /
• pp.112-123
• /
• 2002

The purpose of this study was to establish the strategy for Internet fashion homepage advertising that attracts consumers attention and discloses clothing brand to consumers continually. In this paper, the following subjects were set up: (a) to classify the structure and evaluation factors of the fashion homepage advertising, (b) to analyze the effect of demographic variables and clothing involvement of consumer on fashion homepage advertising structures and evaluation factors. A random sample of 553 people in the age group 16-34s living in Seoul and Kyungki region during March 2000 was selected from Internet users. SPSS package was used for data analysis. Frequency, Percentage, Factor analysis, ANOVA, Duncan test and regression analysis were applied. The results of this research were as follows: First, in the process of classifying the dimension of the fashion homepage advertising, homepage advertising structure was composed of 5 factors: interactive, amusing factor, professional information, fashion information and useful information. And homepage advertising evaluating factors were interesting, information and irritation. Second, it was found that clothing involvement influenced fashion homepage advertising. High involvement group preferred the fashion information factor of the homepage advertising structure and low involvement group was useful information factor of the homepage advertising structure. Both high and low involvement groups preferred interesting factor of the homepage advertising evaluation. Third, demographic variables also influenced fashion homepage advertising Females manifested greater interests in informative factor of homepage advertising than males. Findings from this study provide an insight into fashion homepage advertising strategy related to consumers clothing behavior.

• The Journal of Industrial Distribution & Business
• /
• v.9 no.1
• /
• pp.99-110
• /
• 2018

Purpose - The purpose of this study is to investigate the relationship among narcissism, usage motives, usage behaviors, satisfaction with and continuance intention to use fashion social media. Research design, data, methodology - A questionnaire survey was used to collect data after conducting a pilot test. Based on the reliability test of the preliminary questionnaire used for the pilot test, the questionnaire was revised. The final questionnaires were administered to 238 fashion social media users and 216 were used for the data analysis. To assess the validity of these measures, exploratory factor analysis and the confirmatory factor analysis were performed. Structural equation modeling analysis were employed for data analysis. Results - Five factors of the usage motivation of fashion social media were extracted: information-seeking, relationship-seeking, practicality-seeking, enjoyment-seeking and self-expression motives. The statistical analysis confirmed the influence of the narcissism tendency on all of the usage motives of fashion social media, three of the fashion social media usage motives influencing information diffusion behavior, and the influence of the information diffusion behavior on users' satisfaction and continuance intention to use fashion social media. Narcissism exerted the highest influences on self-expression motive followed by information-seeking, enjoyment-seeking, relationship-seeking and practicality-seeking motives in order. Factors affecting fashion information diffusion behaviors are practicality-seeking motive, self-expression motive, and relationship-seeking motive. The greater the diffusion of information, the higher the satisfaction with using fashion social media. The consumers with higher satisfaction intended to use fashion social media and share information more frequently. Conclusions - The results indicate that narcissism is an important factor in fashion social media usage motivation. The main motives for narcissistic people to spread information is for the practical purpose at the most, and then to express their personality and style, and to build relationship with others. The satisfaction through active information sharing behaviors seems to play a key role to lead high continuance intention of fashion social media. These implies that marketing strategies to satisfy consumers' narcissism and motives to use social media, and to stimulate the information diffusion behaviors can be used to meet their needs for higher satisfaction with fashion social media.

• Fashion & Textile Research Journal
• /
• v.24 no.2
• /
• pp.195-205
• /
• 2022

This study examines the image management behavior according to self-monitoring, self-objectification of profile-based SNS users. Questionnaires were administered to 313 SNS users including both men and women in their 20s to 30s. The SPSS 25.0 package was utilized for data analysis, which included frequency analysis, factor analysis, Cronbach's ?, t-test, and regression analysis. The study analyzed self-monitoring in 2 groups (high, low), self-objectification for 2 factors (body surveillance, body shame), and image management behavior for 5 factors (fashion oriented, instrumentality, conformity, ostentation, interpersonal disposition). The results revealed: first, self-monitoring groups exhibited significant differences in self-objectification. The higher self-monitoring group was more influenced by body surveillance and body shame compared to the low self-monitoring group. Second, self-objectification had a positive influence on all the factors of image management behavior. Especially, body surveillance demonstrated a high influence on instrumentality and body shame showed a high influence on ostentation. Third, the self-monitoring groups showed significant differences in all the factors of image management behavior. The higher self-monitoring group demonstrated more influence of image management behavior compared to the low self-monitoring group. These results provide useful information in understanding the influence of social media on users' psychological attitude and consciousness toward their body and image management behavior.

• Journal of the Korean Home Economics Association
• /
• v.42 no.3
• /
• pp.195-209
• /
• 2004

The purpose of this study was 1) to examine the usage of mobile internet by cell phone or palm pilot, etc., 2) to analyze mobile users' lifestyles, 3) to examine preferred fashion services according to users' lifestyles and 4) to investigate service satisfaction and preference with the mobile internet. 193 university students in Seoul were randomly selected as subject. The data was analyzed using descriptive statistics (i.e., percentage, frequency), factor analysis, cluster analysis and ANOVA. The results of the study were as follows: first, most mobile users spent 10 min a day for using the mobile internet (i.e., short message service) mainly in transportation vehicles. Secondly, five factors in the mobile users' lifestyle were named as: 'surfer', 'absorber', 'expert', 'accepter' and 'enthusiast'. Thirdly, two factors in the preferences of fashion service on mobile internet were 'customized information service' and 'ordinary information service'. Fourthly, according to the internet lifestyle, mobile users were classified into three groups: 'mania group', 'follower group', and 'veteran group'. The mania group was the highest group in mobile service satisfaction and service preference. Marketing implications are discussed for the successful mobile business in clothing and textile industry.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.8
• /
• pp.2720-2735
• /
• 2022

This study proposes an internet design framework for users to improve their positive emotions when they are in a negative mood. First, the literature review focuses on the definition of emotion, positive emotional design in internet experiences, and emotion regulation. Second, in order to construct an internet design framework that improves positive emotion, this paper adopts a qualitative analysis method to analyze 70 collected studies in the area of regulating emotion and stimulating positive emotions. Additionally, bibliometrics and statistics are conducted to summarize the framework and strategies. Third, two cases of internet design are presented: (a) Internet design that improves users' positive emotions is examined under the background of extreme rainstorm as an example; an applet service design is provided by case study; (b) in the context of COVID-19, we developed an Internet of things interactive design that improves users' positive emotions. Fourth, the internet design framework and the results of the case studies are analyzed and discussed. Finally, an internet design framework is proposed to improve users' positive emotions when they are in a negative mood, which includes the Detachment-empathy framework, External-protection framework, Ability-strengthen framework, Perspective-transformation framework, and Macro-cognitive framework. The framework can help designers to generate design ideas accurately and quickly when users are in a negative mood, to improve subjective well-being, and contribute to the development of internet experience design.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.43 no.5
• /
• pp.605-619
• /
• 2019

This study investigates the effects of fashion consumers' individualism collectivism propensity, social capital and Instagram usage propensity on evaluations for fashion influencer's attributes on Instagram. This study conducted a questionnaire survey of 20 to 30 year old male and female Instagram users. A total of 483 replies were submitted and 467 of the replies were used in the final analysis. The quantitative data collected through questionnaires were analyzed using reliability analysis using SPSS 18.0 while AMOS 18.0 was used to test the model fit and a structural equation modeling between the variables. The results indicated that vertical collectivism and vertical individualism were found to be related to relationship seeking propensity; only vertical individualism was found to be related to information seeking propensity. Furthermore, relationship seeking propensity and information seeking propensity were both related to the fashion influencer's attributes of professionalism, intimacy and attractiveness.