The purpose of this study was to investigate the effect of demographic characteristics and general buying characteristics of knitwear consumers on evaluation criteria and information source searching. In this study, a self-administered questionnaire was distributed to young career women and female undergraduate students. Of 580 questionnaires, 496 were used in the following analysis. The data was analyzed with the SPSS package. The research method used factor and reliability analysis to segment consumers by their knitwear evaluation criteria. T-test, one-way ANOVA and χ²were used to characterize the impact of characteristics of the consumer on knitwear evaluation criteria and information source searching in buying knitwear. The results of this study were as follows. First, the information sources of consumers were significantly different depending on their demographic characteristics(age). According to the difference in relationship between the age of consumers and information sources, the younger the consumer, the more information in fashion magazine, the older, in fashion advertisement on catalog. Second, the knitwear evaluation criteria of consumers was classified according to six characteristics - quality, price, aesthetic, situation, self-expression and external. Their knitwear evaluation criteria were significantly different depending on demographic characteristics(job, age, education, marital status) and the general buying characteristics of knitwear(annual knitwear/clothing buying expense and frequency). Career women and married women placed significant importance on practical aspects like quality and price characteristics, while undergraduate students and single women placed significant importance on practical aspects like quality and price characteristics, while undergraduate students and single women placed significant importance on aesthetic and self-expression characteristics. Also, a group with higher annual knitwear/clothing buying expense and frequency considered aesthetic and self-expression characteristics more important. The lower the annual knitwear/clothing buying expense and frequency, the higher a group considered quality and price characteristics more important.
The study surveyed preference and Actual Condition of wedding fashion masterpiece brand by consumer's lifestyle group. First, it was found that the brand preference by wedding fashion masterpiece consumer was Bulgari in precious metal, Burberry in scarf, Louisvuitton in bag and Chanel in cosmetics. Second, as a study result of purchase status, wedding fashion masterpiece brand consumers, who enjoy shopping about 1 time a month, usually purchased the masterpiece in masterpiece hall of department store. Their total purchase amount for wedding was less than 5 million in most cases. Third, regarding purchase-experience brand by consumer's lifestyle group, in clothes, there was significant difference between 4 groups such as shopping unconcerned type, reasonable economic type, self-focused brand-oriented type and social achievement type. In bag, slight difference appeared in 4 groups. Fourth, as a study result of the brand preference by consumer's lifestyle group, there was somewhat significant difference between precious metal, clothes, scarf, bag and cosmetic variables. Fifth, as a study result of the difference of information source use by consumer's lifestyle group, it was found that social achievement type used most various sources such as commerce, store and personnel information. Sixth, as a study result of shopping trend by consumer's lifestyle group, social achievement group searched for pleasure, unique personality and ostentation. Shopping unconcerned type searched for necessary shopping with comfortable style without sparing time in shopping.
Most of data objects in the real world have spatial and temporal information simultaneously. One of the objectives of spatiotemporal databases is to provide a very expressive framework for spatiotemporal database applications. The object oriented spatiotemporal model can manage spatiotemporal data efficiently because the model is able to store the complete history of any objects. Therefore, in order to handle the spatiotemporal data in object oriented fashion, we proposed a low dimensional spatiotemporal model in the object oriented fashion that extended dimensionally two dimensional spatial model of OpenGIS to fit into the real world information and to include temporal information. In order to proof the proposed model, we design a data provider component which consists of the data source, the session, the command, and the rowset component, and implement it. The proposed four dimensional spatiotemporal data model and provider in the object oriented fashion can be used to store, retrieve and manage the object oriented spatiotemporal data.
Journal of the Korean Society of Clothing and Textiles
/
v.22
no.1
/
pp.61-71
/
1998
The purpose of this study was to identify the factors which explain consumer's information search behavior. Data were analyzed by utilizing factor analysis and multiple-regression to investigate the relationship among information sources, benefit, and actual and ideal self- image and demographics. Based on the results, information sources for benefit, actual and ideal self-image were developed. Predictors of information sources, benefits, and self-image were identified. Marketing implication about information sources were discussed. The results were as follows. 1. Actual and ideal self-images and information sources were devised into three factors. And benefits were devised into five factors. 2. Actual self-image has more predicting power than ideal self-image to the benefits which consumer sought. Among five benefits, character pursuit was the best predicted factor according to the self-image. 3. Among three information sources, mass communication was the most effective source which can be explained by the benefit and self-image. Fashion pursuit factor was the most significant factor to the mass communication oriented source.
The purpose of this paper is to seek ways to improve the competitiveness of Korea's fashion industry by utilizing the source of competitiveness of Japan's fashion industry, which represents the world's leading countries in terms of fashion, so that Korea can better enter the global fashion market. The study shall first compare the competitiveness of the Japanese and Korean fashion industries by utilizing the generalized double diamond model; second, provide an understanding of what the Japanese fashion industry can offer to Korean fashion industry and companies - that is, understand what the Japanese fashion industry's competitive edge is; and third, study the kind of global competitiveness that Korea's fashion industry must achieve. To adopt a generalized double diamond model to compare the competitiveness of the Korean and Japanese fashion industries, we selected 31 sub-variables to act as determinants of the model. That is, we extracted 31sub-variables by doing research of literature to analyze national competitiveness of the fashion industries. To measure these 31 sub-variables, secondary data was gathered. We collected data related to each sub-variable from various sources of Korea and Japan. And to calculate the competitiveness index, we took three steps with reference to previous studies. We found that status of the fashion industry of the two countries as it stands. That is, Japan is an advanced country of which fashion industry is domestic market-oriented while Korea is a small open economy that mainly focuses on the foreign market. Out of 31 proxy variables, Korea's fashion industry shows higher measurements relating to production and export than Japan, but Japan's fashion industry reports higher measurements than Korea in the fields of R&D, design and brand power, the rate of value added, the efficiency of companies and globalization. In order for Korea's fashion industry to achieve competitiveness in the global market, it should pursue the following development direction. First, it is very difficult for Korea to follow the footsteps of the U.S. and Japanese fashion industries that are able to take advantage of economies of scale, because Korea is smaller than those countries. Therefore, in the case of small economies such as Singapore, strengthening of international activities will practically improve domestic determinants that Korea should improve its domestic diamond by enhancing the current competitiveness of its international diamond. In other words, Korea needs to further endeavor to develop and expand global resources and markets as well as improve its competitiveness in terms of R&D, design and brand power, the rate of value-added, and the efficiency of companies. As the Korean fashion industry shows relatively advanced level of information technology and the fashion education system, it has considerable potential to grow. Korea is expected to have a huge growth potential since it has relatively higher level of information technology, fashion education system and activities than those of Japan in both the domestic diamond and international diamond. In particular, a better environment is laid out before Korea to gain competitiveness in the fashion industry due to the recently growing influence of the Korean Wave that Korea is expected to grow as a leader in the Asian market as well as in the global market.
The purpose of this study was to classify the consumption values of 20's and 30's female consumers, identify the differences among the consumption value groups, and analyze purchase behaviors of imported fashion luxury brands according to the consumption value types. The subjects were 518 women who purchased luxury bags. The results of the study were as follows. First, as a result of cluster analysis to classify the consumption values of 20's and 30's female consumers, 4 groups were identified as "rare and emotional pursuit group", "functional pursuit group", "fashion pursuit group", and "social and conspicuous pursuit group". Second, 4 groups showed different luxury bag purchase behaviors, such as purchase motivation, purchase selection criteria, information source, purchase frequency, purchase cost of one time, purchase cost of year, the number of possession, purchase place, and store selection criteria. Third, rare and emotional pursuit group ranked the first in terms of product, price, and store satisfaction. Therefore, consumption values were identified as the important factor suggesting purchase behaviors of female consumers in 20's and 30's.
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 purpose of this study is to identify adult learners' decision making variables, satisfaction, and evaluation toward fashion education as a university lifelong education program. As decision making variables, this study included participation purpose, information source, and selection criteria for lifelong education center and program. Regarding satisfaction toward fashion education, this study included satisfaction toward program and satisfaction toward education condition and administrative services. Data were gathered by both questionnaires and focus group interview(FGI) with 12 adults who completed the program. While questionnaires were used for decision making variables and satisfaction, FGI was used for evaluation. Frequency was used to analyze the questionnaires and content analysis was used to analyze the results of FGI. The findings showed that respondents participated mostly because of hobby or interest and got information mostly from acquaintances. They regarded program contents as the selection criteria for lifelong education center. They also regarded lecturers' professionality as the selection criteria for the program and showed high satisfaction toward lecturers' passion. Regarding education condition and administrative services, they showed high satisfaction. FGI also showed the importance of individual competence, career development, a work-study program, a on-site study program, and lecturer. The results suggest methods to make university lifelong education programs more appealing to adults who want to attend universities for non-degree university programs.
This study examines female new seniors' clothing consumption behaviors, such as their information sources, clothing store selection criteria, and perceived importance of sales associates' attributes, based on their level of clothing involvement. A face-to-face survey was conducted through a market research firm. The subjects of this study were female adults in their 50s and 60s residing in the Seoul metro area (N=197). Significant differences were found in the clothing consuming behaviors of new seniors depending on their clothing involvement(CI). High-CI new seniors tended to place more importance on both personal and non-personal information sources than low-CI new seniors. High-CI new seniors place importance both "merchandise assortment and store atmosphere" and "sales associates and service" when they select stores for clothing than low-CI new seniors. In terms of sales associates' attributes, high-CI new seniors tend to place more importance on customer-orientation than medium- and low-CI groups. Medium- and high-CI new seniors tend to place more importance on appearance than low-CI groups. However, there were no significant statistical differences for professional expertise among the three different CI groups.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
/
2007.06a
/
pp.87-90
/
2007
In cooperative communication systems, the source terminal transmits signal to the destination terminal with the aid of partner terminals. Therefore, the source terminal obtains extra spatial diversity gain. As a result, its performance is enhanced in term of higher achievable transmission rate, the larger coverage range, and the lower bit-error-rate (BER). Space-time codes (STCs) have been applied to cooperative communication systems in distributed fashion, in which the signal is spatially time exploited to obtain gains analogous to those provided by STCs. In this work, we consider the application of orthogonal Space-time Block Codes (OSTBCs) to the cooperative communication systems to further achieve higher diversity gain. The advances of the proposed approach are verified via computer simulations.
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