• Journal of Industrial Convergence
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• v.21 no.8
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• pp.23-33
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• 2023

Consumer review analysis is important for product development, customer satisfaction, competitive advantage, and effective marketing. Increased use of wireless earphones is expected to reach $45.7 billion by 2026 with growth in lifestyle. Therefore, in consideration of the growth and importance of the market, consumer reviews of wireless earphones from Apple and Samsung were analyzed. In this study, 11,320 wireless earphone reviews from Apple and Samsung sold on Coupang were collected to analyze consumers' purchase intentions and analyze consumer satisfaction through analysis of the frequency, sensitivity, and LDA topic model of text mining. As a result of topic modeling, 16 topics were derived and classified into sound quality, connection, shopping mall service, purchase intention, battery, delivery, and price. As a result of brand comparison, Samsung purchased a lot for gift purposes, had a high positive sentiment for price, and Apple had a high positive sentiment for battery, sound quality, connection, service, and delivery. The results of this study can be used as data for related industries as a result of research that can obtain improvements and insights on customer satisfaction, quality and market trends, including manufacturing, retail, marketers, and consumers.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.10a
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• pp.306-310
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• 2001

Engineering Database Management System은 제품개발시 사용빈도가 높은 도면과 BOM 데이터의 흐름을 컴퓨터에 의해 체계화/자동화시키기 위한 시스템이다. 이 시스템은 설계 구상단계부터 시작품 제작까지 각종공정에서 필요한 제품 및 부품들의 정보를 Text와 그래픽 형태로 제공하며, CAD 데이터를 이용한 BOM의 자동작성, 소요부품들의 구매의뢰, 시제품 제작, 양산이관 업무 등이 통합화된 설계 데이타베이스를 통해 종합 관리되는 설계용 도구이다.

• Fashion & Textile Research Journal
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• v.21 no.1
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• pp.36-45
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• 2019

In 2000s, the rapid growth of domestic and foreign fast fashion brands led to an increase in the frequency of shopping for consumers and a significant reduction in the average life span of fashion products. As the kinds and quantity of fashion products owned by individuals increase, the problem of rational clothing management becomes a new concern. The purpose of this study was to investigate the demographic, socio-psychological and purchase behavior factors influencing the frequency of closet cleanup behavior. A total of 278 questionnaires were analyzed. Frequency, exploratory factor analysis, reliability, t-test and regression analysis were used for data analysis using SPSS 22.0. This study results were as follows. First, the frequency of women's closet cleanup behavior was higher than that of men's closet cleanup behavior. Second, the number of brothers and sisters significantly affected the frequency of closet cleanup behavior. Third, the stronger the attachment to fashion products, the higher the frequency of closet cleanup behavior. Fourth, the lower the fashion product retention tendency, the higher the frequency of closet cleanup behavior. Fifth, the higher the frequency of purchasing fashion products, the higher the frequency of closet cleanup behavior. The results of current study provide various implications for educators and marketers who are interested in reasonable management behavior of fashion goods.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.82-92
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• 2012

This study is on the color expression of 100 male bike helmet products examining color image scale with high preference, PCCS color system applied color analysis and influence of color in decision making. The targets are all domestically distributed male bike helmets. The image scale was divided into 4 sections (Soft, Hard, Dynamic and Static) by color, and color image scale was analyzed to top 10 priority products. And analysis according to PCCS color system was made. Finally, questionnaire survey was carried out to analyze the influence of color on purchase decision making. The questionnaire survey was carried out to male in 20s~50s who were the member of 18 bike clubs in S agent in Seoul. 414 out of 422 sheets except for 8 insufficient ones were used. The results can be divided into 3.

• Journal of Distribution Research
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• v.12 no.4
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• pp.27-47
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• 2007

Using survey data and the Heckit model that adequately controls the sample selection bias, we analyze shoppers expenditure through two major emerging shopping channels: Internet shopping and TV home shopping channels. Age, Internet experience, daily Internet usage, the number of computers are factors that affect the ratio of consumers' expenditure through Internet shopping relative to the expenditure through TV home shopping. Shopping frequency which represents the shoppers' incentives to reduce transaction costs also has a positive effect on the proportion of shoppers' expenditure through the Internet shopping. Shoppers' perceptions of convenience, reliability, speed, and diversity are also shown to affect shoppers' relative expenditure ratio through Internet shopping. In contrast, shoppers' perception of prices does not seem to affect their purchasing behavior.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.189-196
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• 2020

In this paper, we propose a study on the purchasing intent of the new e-commerce consumer, the coronavirus may once again drive the structural change of China's economy, and the new online marketing model will be noticed during the epidemic. Through 438 questionnaires collected on the Internet, frequency analysis, element analysis, reliability analysis and structural equation analysis were performed using SPSS V22.0 and AMOS V22.0 methods. Study the validation of hypotheses in the model to reveal the reasons why consumers in the new e-business are exposed. The results show that e-commerce features of Internet celebrities and individual characteristics of Internet celebrities can only enhance consumers' satisfaction. Quasi social relationships only increase consumer satisfaction without generating the will to purchase directly. Consumer satisfaction is the core foundation that dominates long-term consumption. E-commerce should focus on the ability of online celebrities to sell their expertise and the adaptability of value and product characteristics when conducting online celebrity marketing.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.143-150
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• 2023

This paper aims to investigate the relationship between consumption value of sports products, upward consumption propensity, and post-purchase happiness among adolescents. The subjects of the study were extracted from adolescents in Chungcheong-do by convenience sampling method, and 257 people were used in the final analysis. Statistical methods were frequency analysis, correlation analysis, and regression analysis. The research results are as follows. First, social value and exploratory value, which are sub-factors of consumption value, were shown to have a significant effect on upward consumption propensity, but functional value and self-value were found to be statistically insignificant. Second, social value, self-value, and functional value, which are sub-factors of consumption value, had a significant effect on post-purchase happiness, but exploratory value was found to be statistically insignificant. Third, the upward comparison propensity was found to have a significant effect on post-purchase happiness.

• Journal of Software Assessment and Valuation
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• v.16 no.1
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• pp.81-88
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• 2020

Various methods of differentiating and servicing digital content for individual users have been studied. Searching for association rules is a very useful way to discover individual preferences in digital content services. The Apriori algorithm is useful as an association rule extractor using frequent itemsets. However, the Apriori algorithm is not suitable for application to an actual content service because it considers only the reference count of each content. In this paper, we propose a new algorithm based on the Apriori that searches association rules by using purchase history and usage-time for each item. The proposed algorithm utilizes the usage time with the weight value according to purchase items. Thus, it is possible to extract the exact preference of the actual user. We implement the proposed algorithm and verify the performance through the actual data presented in the actual content service system.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.81-88
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• 2022

The purpose of this study is to present supporting data that can suggest a direction for sports advertisement strategy on social media by investigating how differences in social media engagement of sports advertisement affect users' product trust and purchase intention. To achieve this purpose, a total of 810 questionnaires, which were completed by sports-related college students engaged in social media activities using a method for writing a self-evaluation report, were collected, and 765 questionnaires were used as final valid samples after excluding 45 insincerely completed copies. For data processing, analyses of frequency, factor, reliability, correlation, and multiple regression were conducted using the Window SPSS (ver. 23.0) statistical program to draw the following conclusions. First, the social media engagement of the sports advertisement had a significant effect on the trust of the advertised products. Second, the social media engagement of the sports advertisement had a significant effect on the purchase intention of the advertised products. Third, the product trust acquired through the sports advertisement had a significant effect on the purchase intention.

• Journal of Nutrition and Health
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• v.50 no.4
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• pp.325-335
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• 2017

Purpose: The purpose of this study was to investigate the consumption behaviors of sugar-sweetened beverages and blood lipid profiles according to food-related lifestyles of adults in Incheon. Methods: Subjects were recruited from 19 to 64 year old adults residing in Incheon who visited for the purpose of a health examination at D hospital. A total of 110 subjects consented to participate in this study and to allow their health examination records to be used at D hospital. Data were collected using self-administered questionnaires and anthropometric data, and blood lipid profiles were collected from health examination records. Statistical analysis was performed using the SPSS 20.0 program. Results: In the factor analysis, food-related lifestyles were categorized into four factors: planned purchase seeking, taste seeking, well-being seeking, and convenience seeking. Using the K-average clustering method, food-related lifestyles of subjects were categorized into two groups: health and rationality-oriented group (HRG) and convenience purchase-oriented group (CPG). Average total scores of sugar-related nutrition knowledge in the HRG were significantly higher compared to the CPG, and average scores of consumption habits regarding sugar-containing foods in the HRG were significantly lower compared to the HRG. When subjects chose sugar-sweetened beverages, the CPG showed a significantly higher frequency of checking food labeling and considering nutrition compared to the CPG. Drinking frequency of carbonated beverages in the CPG was significantly higher compared to the HRG. Conclusion: There were significant differences in sugar-related nutrition knowledge and consumption habits of sugar-sweetened beverages between the two food-related lifestyle groups. These results could be useful for establishing guidelines for reducing consumption of sugar-sweetened beverages. In addition, it is necessary to continue sugar-related nutrition education by considering the food-related lifestyles of adults.