• Journal of Fashion Business
• /
• v.20 no.4
• /
• pp.207-225
• /
• 2016

This study aims to analyze the impact of negative review type, brand reputation and opportunity scarcity perception, on preferences of fashion products in social commerce. For the above evaluation, we used the 2 (negative review type: objective/subjective) ${\times}2$ (brand reputation: high/low) ${\times}2$ (opportunity scarcity perception: high/low) model, designed with three mixed elements. We enrolled 260 women in their 20s and 30s, who live in Seoul and have used social commerce; a final total of 207 subjects were considered for analysis. The data were analyzed using the SPSS 18 program and reliability test, t-test and three-way ANOVA were performed. Following observations were made: First, preferences were higher when the subjects read objective negative reviews than subjective negative reviews, and when a fashion product was from a brand of high reputation than a brand of low reputation. Second, the interaction effect between negative review type and brand reputation was greater among the subjects whose opportunity scarcity perception is high, than those having low opportunity scarcity perception. Thus, we conclude that the social commerce should encourage consumers to write more objective reviews, and fashion brands should manage their reputations well. Also, social commerce can use scarcity messages aggressively to increase preferences of global fashion luxury goods, which is actively marketed in social commerce since 2015.

• Journal of Fashion Business
• /
• v.20 no.4
• /
• pp.15-35
• /
• 2016

The purpose of this study was to develop brassiere pattern designed to fit the breast shapes based on ESMOD pattern. It has three quarters cup round shape and also consists of three parts; upper cup, lower cup, and wings. Breast types are classified into five shapes; ideal breast, flat breast, upper developed breast, lower developed breast, and projecting breast. Two subjects for each breast type wore the brassiere, and they evaluated the appearance and wearing twice. Type I for research pattern designed to fit into the breast shape reflecting details of breast size were assessed as superior to the divided commercial type. However, wings' tightness of Type I for research pattern brassiere was high. Thus, to improve wearing satisfaction, extra was added to wing. Based on the results of wearing experiments of Type I for research, we adjusted and modified Type II for research pattern. Subsequently, its appearance and wearing were evaluated, in order to be improved. For upper developed breast pattern, we extended the length of lower part to balance upper and lower part, as the upper part was somewhat long. The lower developed breast has the closest feature to the ideal breast, suggestive that implies it does not require much improvement Projecting breast pattern has minimal space in the lower part, so we added the support to lift them to be similar to the ideal breasts. For all the breast shapes, we reduced the wings' tightness from 8% to 7% so that we could extend the length of the wings.

• The Journal of the Korea Contents Association
• /
• v.21 no.9
• /
• pp.105-116
• /
• 2021

Habruta is a question-based learning that talks, discusses, and argues in pairs. In particular, the famous painting Habruta is being implemented for the purpose of enhancing the appreciation ability of paintings and enriching the expressive power through questions and answers about the famous paintings. In this study, in order to support the famous painting Habruta for oriental paintings, we propose a method of automatically generating questions from the gender perspective of oriental painting characters using the current deep learning technology. Specifically, in this study, based on the pre-trained model, VGG16, we propose a model that can effectively analyze the features of Asian paintings by performing fine-tuning. In addition, we classify the types of questions into three types: fact, imagination, and applied questions used in the famous Habruta, and subdivide each question according to the character to derive a total of 9 question patterns. In order to verify the feasibilityof the proposed methodology, we conducted an experiment that analyzed 300 characters of actual oriental paintings. As a result of the experiment, we confirmed that the gender classification model according to our methodology shows higher accuracy than the existing model.

• Journal of Fashion Business
• /
• v.26 no.4
• /
• pp.52-63
• /
• 2022

As live commerce, mobile sales platforms based on real-time content and text are drawing attention as a new marketing channel. In particular, the fashion industry also using live commerce as a new fashion distribution channel, requiring marketing strategies to utilize it efficiently. This study attempted to verify the effect of information source, sales promotion, and impulse buying tendency characteristics on fashion live commerce purchase intention. The experimental design of this study was 2(characteristics of information source: expertise vs attractiveness) × 2(sales promotion type: value-added vs price discount) × 2(impulse buying tendency: high vs low) three-way mixed analysis of variance(ANOVA). A convenience sampling of 264 women in their 20s and 50s living in Seoul and the Gyeonggi area who had purchased products through Live Commerce was conducted. For the final analysis, 240 questionnaires were used. Data were analyzed by the SPSS 26 program and three-way ANOVA. Simple main effects analysis was conducted. The results of this study follow. First, there were statistically significant differences in purchase intention according to consumers' impulse buying tendencies and sales promotions. Second, information source and sales promotion showed statistically significant interaction effects on purchase intention. Lastly, information source, sales promotion, and impulse buying tendency showed significant three-way interaction effects on fashion live commerce purchase intention. Therefore, conducting appropriate marketing analysis can result in positive attitudes regarding live commerce products and substantive increases in sales.

• The Journal of Bigdata
• /
• v.6 no.2
• /
• pp.109-124
• /
• 2021

In this paper, the structural characteristics of Industry-University cooperation networks are analyzed using network analysis. Recent studies have shown that technological cooperation and joint research has a positive effect on R&D performance. In order to boost innovation performance, various types of cooperative activities and governmental policy supports for major R&D stakeholders(i.e. universities, laboratories, etc.) are provided. However, despite these efforts, the outcome is still insufficient, so it is time to prepare for a plan to build an innovative network to strengthen university-centered Industry-University cooperation activities. Specifically, this study builds the networks according to the form of Industry-University cooperations(i.e. patent, paper, joint research, and technology transfer), and different types of Industry-University cooperation networks are analyzed from a statistical viewpoint by using QAP correlation and regression analyses. The analysis results show that joint research network is closely related to paper network, and is related to other Industry-University cooperation networks. This study is expected to shed a light on supporting innovation activities such as establishing Industry-University cooperation strategies and discovering cooperative partners necessary for creating new growth engines for universities.

• Journal of Fashion Business
• /
• v.12 no.2
• /
• pp.87-99
• /
• 2008

This study aims to classify lower trunk body types of Chinese men in their middle age (30s and 40s) and suggest the standard for them to design slacks pattern. Mollison's relation deviations were used to analyze the direct measurement items in this research compared to those of Size Korea 2004. Though Korean middle-aged men were higher in most items than Chinese counterparts, all items except mid-thigh circumference and side hip length were merely within the range of ${\pm}1\sigma$. According to the results of size classification by absolute values, factor analysis extracted to 2 factors(horizontal size of lower body and vertical size of lower body), and cluster analysis brought about 3 types(type1: tall and thin trunk (36.9%), type 2 : normal height and thick trunk(45.5%), and type 3 : short and normal trunk(17.6%) with some significant differences among them. Also, the results of shape classification by index values, they were extracted 4 factors (waist-hip flatness, waist-hip cross section, vertical waist-groin and hip-surface length) by factor analysis and revealed 3 types(type 1: different waist-hip width, thick, long waist, long upper hip, and short hip-surface length(27.8%), type 2 : different waist-hip width, flat, short upper hip, high hip and groin, and average hip-surface length(29.4%), and type 3: small waist-hip width, thick, average upper hip, and short hip-surface length (42.8%)) with significant differences among them by cluster analysis. The results of standard body types by shape-size combination, 19subjects(10.16%) under these values are regarded as standard body types. Significance was not seen in all items in the t-test results between the total group and the standard group. The latter had lower variation coefficients and smaller individual differences than the former. However, in-depth research is required for generalization since this research is limited to a small number of subjects in Ningbo of Zhejiang.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2003.05a
• /
• pp.298-303
• /
• 2003

Due to the changes in market place, new business types(e.g. e-business) have been rapidly emerged and increased. However, those new business types have not much been emerged n shipping and port related industries, and adoption rate of e-business in this area is very low, compared to other industries. Thus, to promote e-business in this area. many policies have been studied. However, most of previous studies have not been based on industrial structure, and results of these studies have mostly been case by case. Further, there have been no research based on the related theories. As a result, despite many of research and project for shipping and port related e-business, prominent achievements in this area have never to be presented. For these reasons, it can be stated that, first of all, basic studies related to new business types in shipping and port are needed. For these reasons, it can be stated that, first of all, basic studies related to new business types in shipping and port are needed, and then, various policies based on results of those basic studies should be discussed. The aim of this study is to classify business types existed (or expected) in a port related industry, ship bunkering. This taxonomy was based on theories related to business layer(BL) and value chain(VC), and these BL and VC combination enabled to acquire all possible business types.

• 한국HCI학회:학술대회논문집
• /
• 2008.02b
• /
• pp.629-633
• /
• 2008

In Korean society, digital contents such as VCC has introduced a new medium of advertisement and has become a culture. This research aims to investigate consumer characteristics for different types of consumption patterns for services dealing with digital contents. A total of 96 statements were extracted from literature review and popular press articles and 39 participants participated in this study. The results show 6 types of consumption patterns: Gak-jang-ee, Second-level Celebrity, Viewers, Politicians, Humanists, and Paris Hilton. These groups demonstrate consumer's behavioral characteristics and personal values. This study is meaningful in that it provides an insight for marketing strategies for corporations dealing with digital contents such as VCC.

• Journal of Convergence for Information Technology
• /
• v.9 no.8
• /
• pp.110-122
• /
• 2019

IT innovation, cultural revolution based on smart and social networks diversified sharing economy services. Due to the rising of business utilizing the sharing economy concept, it is important to better understand the motivational factors that drive and deterrent sharing economy services in the marketplace. Based on responses from 809 adult users, 3 drivers and 2 deterrents affecting intention to use of sharing economy services were identified. Then this study categorized sharing economy services as three types of segments based on consumer perceptions and subjectivity, and analyzed differencies of perceptions on motivational factors between groups. As a result, redistribution market group has shown meaningful different average scores on economic benefit, sustainability and social risk with other groups. Based on the empirical evidence, this study suggests several propositions for future studies and implications for sharing economy businesses on how to formulate optical strategies and manage users.

• Journal of Fashion Business
• /
• v.16 no.5
• /
• pp.130-145
• /
• 2012

The purpose of this study is to investigate the influence of cause-related marketing on consumer attitude for fashion brand in terms of brand familiarity, consumer's propensity for data processing and types of advertising. The design of this study is comprised of 2(brand familiarity : high vs low)${\times}$ 2(consumer's propensity for data processing : high vs low), designed with three mixed elements. The subjects of this study are 308 male and females in twenties or thirties from the area of Seoul, Kyunggi, Busan and Daegu. Data analysis is carried out through T-test, and ANOVA. The results of this study are as follows. First, when fashion brand pursues cause-related marketing, brand familiarity, consumer's propensity for data processing and types of advertising have statistically interaction effect on consumer's preference. Second, rational appeals in advertising have no significant interaction effect on consumer's preference in terms of brand familiarity. Rational appeals are preferred to Emotional appeals in both familiar and unfamiliar brand. Third, when fashion brand pursue cause-related marketing, brand familiarity, consumer's propensity for data processing, and the types of advertising have no significant interaction effect on consumer's preference.