• Journal of Information Technology Services
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• v.19 no.4
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• pp.49-61
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• 2020

Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.

• Journal of the Korean Society of Costume
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• v.56 no.2 s.101
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• pp.134-146
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• 2006

Modern society is a multi-cultural consumer society, and there are multiple trends to cater to the tastes of diverse consumers with different sociocultural background. To grasp fashion trends in fast-changing society, how consumer life is changing and what sort of trend is prevailing should be understood above all. A major fashion trend keeps on changing in every season, and that is an extensive and compound measure of what affects the lives and values of cultural receivers who take the lead in it. The purpose of this study was to delve into what sorts of trends were presented in the 21st century's different cultures, how those cultures were reflected in fashion trends, and how design elements predicted by fashion trends could serve as the sources of design that could create a new fashion. The findings of the study were as follows: First of all, the theories of popular culture and trends were reviewed to describe how general receivers found meaning and delight in the products of cultural industry in their own way and how the products were converted into diverse cultural media. Secondly, consumer styles were discussed by classifying consumers into six groups, twixter, duppie, Ubi-Nomad, NONOS, LOHAS and chav, who were generated by changing cultural codes. Thirdly, sociocultural trends and consumer changes brought a lot of diverse changes to fashion trends. The visual materials about the 2005 S/S, F/W Collection were examined to track how changing trends affected fashion style.

• Fashion & Textile Research Journal
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• v.22 no.5
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• pp.551-560
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• 2020

Due to the nature of fashion design that responds quickly and sensitively to changes, accurate forecasting for upcoming fashion trends is an important factor in the performance of fashion product planning. This study analyzed the major phenomena of fashion trends by introducing text mining and a big data analysis method. The research questions were as follows. What is the key term of the 2010SS~2019FW fashion trend? What are the terms that are highly relevant to the key trend term by year? Which terms relevant to the key trend term has shown high frequency in news articles during the same period? Data were collected through the 2010SS~2019FW Pre-Trend data from the leading trend information company in Korea and 45,038 articles searched by "fashion+material" from the News Big Data System. Frequency, correlation coefficient, coefficient of variation and mapping were performed using R-3.5.1. Results showed that the fashion trend information were reflected in the consumer market. The term with the highest frequency in 2010SS~2019FW fashion trend information was material. In trend information, the terms most relevant to material were comfort, compact, look, casual, blend, functional, cotton, processing, metal and functional by year. In the news article, functional, comfort, sports, leather, casual, eco-friendly, classic, padding, culture, and high-quality showed the high frequency. Functional was the only fashion material term derived every year for 10 years. This study helps expand the scope and methods of fashion design research as well as improves the information analysis and forecasting capabilities of the fashion industry.

• Journal of Family Resource Management and Policy Review
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• v.8 no.1
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• pp.1-13
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• 2004

This study examined in detail the Japanese system of redressing consumers' losses and the overall consumer administrative system and compared them with the Korean counterpart to seek for a direction of reforming the systems. Several policy suggestions could be made as follows to activate the systems and improve the performances of the consumer administration in both Japan and Korea. First, in Japan, consumer center must be efficiently operated while private consumer groups, firms, consumer agencies and other organizations must actively join to actively redress consumers' losses and implement other consumer policies. Second, in Korea, regional consumer policies are weak so that they must learn Japanese well-developed regional consumer administration system by examining their current development, strengths, and weaknesses. Third, working conditions must be urgently improved, increasing the number of consumer counselors who are involved in consumer policies as well as to guarantee minimum level of their payment. On the other hand, the trend of hiring married and old employees being responsible for implementing consumer policies in Japan must be improved. Fourth, divisions of works in consumer policies among consumer groups as well as their specialization in Korea are necessary. Finally, as counseling of consumers through internet were not available in Japan, that type of counseling must introduce and become more popular in the future.

• The Journal of Fisheries Business Administration
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• v.45 no.3
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• pp.85-98
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• 2014

This study aimed to segment Chinese fisheries consumer market by means of cluster analysis based on Shanghai region consumers. The survey is conducted to 350 shanghai people on March 17-21 in 2014 and investigate demographic characteristics and consumer's behaviors unique to each segmented market by preference, labelling, quality, price, safety. The result of cluster analysis identified four market segments such as Catering type market, Worth pursuing type market, Substance pursuing type market, Trend pursuing type market. Catering type market is a passive fisheries consumption market and is not high attractive for Korea fisheries export market. Value pursuing type market consider importance to labelling, origin, brand and require high-quality and differentiation strategies. This market's main target species are high price fisheries such as tuna, salmon, crocker. Substance pursuing type market consider fisheries's safety and quality and purchases more popular fisheries such as crocker, hairtail, promfret, mackerel, squid. Trend pursuing type market's consumers prefer to purchase brands and trendy seafood rather than taste.

• Korean Journal of Human Ecology
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• v.17 no.3
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• pp.485-492
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• 2008

The study is to provide the types of fashion consumption of male and female university students and to analyze fashion involvement to the types and students' source of fashion information. Then the correlations were examined between fashion involvement and source of fashion information. The data were analyzed by a factor analysis, one-way ANOVA, Duncan test, cluster analysis, cross-tabulation analysis. The results are as follows: 1. The awareness about fashion consumption is classified into five factors: "hedonic consumption", "impulsive consumption", "brand loyal consumption", "prudent consumption", and "independent consumption". The fashion involvement to the types is categorized into four factors; "pleasure", "trend", "image", and "risk awareness". The source of fashion information is categorized into "mass media", "product information", and "personal information". 2. The fashion consumption is classified into three types: "an independent consumer type", "a brand loyal/ prudent consumer type", and "an impulsive consumer type". 3. In the fashion involvement to the types and the source of fashion information, there is a high correlation between the factors of "mass media" and "trend", "product information" and "pleasure" and "personal information" and "trend".

• Journal of Families and Better Life
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• v.20 no.5
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• pp.27-35
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• 2002

The purpose of this study was to analyze consumer's opinion and preference trend for luxurious apartments. Data were collected from 167 consumers visiting luxurious apartment model houses from Jan. 2000 to Nov. 2000. The findings of this study are as follows. 1) It is revealed that consumers are positive for luxurious apartments because of luxurious interior facilities and finishing materials convenient storage space and closet. It is found that they are willing to purchase the luxurious apartment if affordable. 2) It is revealed that consumers are negative in using imported materials in general. However, consumers are positive in using imported materials for kitchen and bathroom utilities because of better design and function. Also it is found that consumers are willing to purchase domestic materials if price and quality are same as imported one. 3) It is revealed that consumers prefer to have most spacious living room and master bed room which are facing South. They prefer to have built-in furniture in multi-in purpose room, children's bedroom and entrance hall in priority order. It is revealed that consumer want to choose their favorable interior plan and finishing materials among several options recommended by constructor.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.88-98
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• 2008

The purpose of this study were to examine the effect of fashion brand personality on the consumer's brand loyalty and to investigate the role of brand identification as mediator. The questionnaire data from 218 women who had purchase experience of fashion luxury brands were collected. Factor analysis and multiple regression analysis were used in data analysis. The results of this study were as follows. First, the consumer's fashion brand personality was composed of eight factors; Status-oriented, appearance-oriented, trend-oriented, leisure-oriented, physical activity-oriented, self achievement-oriented, fun-oriented and relation-oriented factor. Second, brand identification had significantly influence on brand loyalty. Third, fashion brand personality significantly influenced on brand loyalty and brand identification. Especially, the status-oriented, appearance-oriented, trend-oriented and self achievement-oriented fashion brand personality was proved to have a crucial role in brand identification and brand loyalty. Fourth, the status-oriented, appearance- oriented, trend-oriented and self achievement-oriented fashion brand personality had both direct and indirect effects on brand loyalty mediated by brand identification.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.75-82
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• 2022

The purpose of the Consumer sentiment index survey is to determine the consumer's economic situation and consumption spending plan, and it is used as basic data for diagnosing economic phenomena and forecasting the future economic direction. The purpose of this paper is to analyze and predict the future Consumer sentiment index using the ARMA model based on the past consumer index. Consumer sentiment index is determined according to consumer trends, so it can reflect consumer realities. The consumer sentiment index is greatly influenced by economic indicators such as the base interest rate and consumer price index, as well as various external economic factors. If the consumer sentiment index, which fluctuates greatly due to consumer economic conditions, can be predicted, it will be useful information for households, businesses, and policy authorities. This study predicted the Consumer sentiment index for the next 3 years (36 months in total) by using time series analysis using the ARMA model. As a result of the analysis, it shows a characteristic of repeating an increase or a decrease every month according to the consumer trend. This study provides empirical results of prediction of Consumer sentiment index through statistical techniques, and has a contribution to raising the need for policy authorities to prepare flexible operating policies in line with economic trends.

• Korean Institute of Interior Design Journal
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• no.31
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• pp.71-78
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• 2002

Understanding the consumer changed life styles are integrated, mutual complement for user's worth and consciousness, the life of consumption, etc. Recently, Apartment Model House has built for distribute to Apartment house When they enter the units after 2 or 3 years. So, Interior designer make an inference from the changed life styles. But, We don't have enough information to trace the design trend about residential space design. Design database is correspond with interior space and structured entity relationship. There are three parts in this Database, Type, Elements and Relation information. Type are composed size, ages, style, and space, Elements are materials and space elements. Relation information are publishing, designer, exhibition, construction company, remodeling, Intoner design and User favorite styles are the development in web environment. This research supplies interior design information for Web environment and trend analysis supports collaboration with development of interior design information database.