• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.795-809
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• 2021

The purpose of this study was first, to clarify the clothing benefits that Uzbek female college students seek through clothing products; and second, to determine whether there is a difference in clothing involvement and clothing purchasing behavior according to the type of clothing benefits. Data were collected from 290 female university students from Tashkent, Uzbekistan, and analyzed using factor analysis, K-means group classification analysis, ANOVA, Duncan test, χ²-test, and frequency analysis. Respondents were classified into four types according to their clothing benefits: individuality/economy-pursuit, comfort-pursuit, fashion/brand-pursuit, and indifference. Significant differences were identified in terms of clothing involvement, information sources, clothing evaluation criteria, clothing store attributes, clothing wearing conditions (including monthly clothing expenses), number of purchases per year, clothing purchase location, clothing preference style, and clothing dissatisfaction. The fashion/brand-pursuit and personality/economy-pursuit types were influenced more by fashion and symbolism of clothing involvement, information sources, clothing evaluation criteria, and clothing store attributes. The individuality/economy-pursuit type purchased more frequently, spent more monthly clothing expenses, and used the internet. Clothing store attributes were considered more important by female students than the other attributes. In these results, clothing benefits were identified as consumer characteristics of female Uzbek college students and market segmentation was determined. In addition, it is meaningful in providing basic data for efficient marketing activities and minimizing trials and errors in establishing local-friendly strategies for target customers in different cultures.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.203-216
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• 2022

In the recent business environment, purchase patterns are changing around the influence of COVID-19 and the online market. This study analyzed cluster and correlation analysis based on purchase and product information. The cluster analysis of new methods was attempted by creating customer, product, and cross-bonding clusters. The cross-bonding cluster analysis was performed based on the results of each cluster analysis. As a result of the correlation analysis, it was analyzed that more association rules were derived from a cross-bonding cluster, and the overlap rate was less. The cross-bonding cluster was found to be highly efficient. The cross-bonding cluster is the most suitable model for recommending products according to customer needs. The cross-bonding cluster model can save time and provide useful information to consumers. It is expected to bring positive effects such as increasing sales for the company.

• Journal of the Korean Society of Propulsion Engineers
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• v.26 no.2
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• pp.60-71
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• 2022

The reusable, low-cost launch vehicle development trend in the recent launch vehicle market is being subdivided into several ways, and the throttleable engine is one of them. Plus, several nations have selected methane as a next-generation propellant due to its cleanness. In this research, a throttleable pintle injector using gas methane and liquid oxygen as propellants was developed, followed by its spray and combustion characteristics analysis, including high pressure cold and hot tests. The designed throttleable pintle injector has a double sleeve structure, and its tightness and functionality are confirmed through repetitive atmospheric, high-pressure cold tests, and hot tests. Though some design errors were discovered and a low throttling level was unable to be achieved in the combustion test.

• Design Convergence Study
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• v.15 no.5
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• pp.21-35
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• 2016

With subdivision of customers and markets, today, domains to design are expanding. When design merges with other spheres of design, it is important to convey a consistent message to customers. For delivering a message consistently and clearly, there is a need to reconcile different views in design processes. In this study, each design process was analyzed and the sequence was adjusted using the DSM methodology for understanding mutual dependent relations. For this, process activity elements were extracted with experts and a survey on related elements was conducted. Then the survey findings were divided for working out the sequence and based on the views regarding the sequence, a total design process was created.. As a result, the processes were combined into one sequence and there was a collaboration at the 10th stage. Also, a methodology used in collaboration and significant elements were analyzed. In conclusion, it is anticipated that this total design process would provide a more objective and scientific approach in collaboration among various spheres of design and help in reducing lead time.

• Design Convergence Study
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• v.14 no.4
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• pp.277-292
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• 2015

Recently, as TV home shopping has entered into the stage of stability, competition between the same lines of business has become more intense. Thus, this research goals have been determined in order to analyze the purchase intent of customers related with the genre and tempo of background music of TV home shopping by different types of products. In order to achieve the research goals, thorough research on related literatures have been conducted and found out about the background music. Furthermore, the characteristics of background music of actual TV home shopping broadcasting have been analyzed, focusing on the genre and tempo of the music. In addition, a survey has been conducted in order to verify what kind of music genre and tempo of the background music has an influence on the highest purchase intent of the chosen three products(sportswear, household appliances, fresh and processed foods). This study investigated the influence of background music of TV home shopping in relation to the purchase intent of customers. Also, this study has significance in the sense that it analyzed the causal relationship between the background music of home shopping and reactions of customers by categorizing products in details and using the music genre and tempo as the independent variables that affect the purchase intent of customers.

• The Korean Journal of Franchise Management
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• v.7 no.1
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• pp.21-29
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• 2016

Purpose - The primary purpose of this study is to employ effective marketing methods using market segmentation of coffee shops by determining how motivations to visit coffee shops have different impacts on demographic profile of visitors and characteristics of coffee shop visits, so as to draw out a better understanding of customers of coffee market. Research design, data, and methodology - Data were collected using surveys of self-administered questionnaires toward coffee shop users in Daejeon, Korea. A number of samples used in data analysis were 253 excluding unusable responses. The data were analyzed through frequency, reliability, and factor analysis using SPSS 20.0. Factor analysis was conducted through the principal component analysis and varimax rotation method to derive factors of one or more eigen values. In addition, the cluster analysis, multivariate ANOVA, and cross-tab analysis were used for the market segmentation based on the types of motivation for coffee shop visits. The process of the cluster analysis is as follows. Four clusters were derived through hierarchical clustering, and k-means cluster analysis was then carried out using mean value of the four clusters as the initial seed value. Result - The factor analysis delineated four dimensions of motivation to visit coffee shops: ostentation motivation, hedonic motivation, esthetic motivation, utility motivation. The cluster analysis yielded four clusters: utility and esthetic seekers, hedonic seekers, utility seekers, ostentation seekers. In order to further specify the profile of four clusters, each cluster was cross tabulated with socio-demographics and characteristics of coffee shop visits. Four clusters are significantly different from each other by four types of motivations for coffee shop visits. Conclusions - This study has empirically examined the difference in demographic profile of visitors and characteristics of coffee shop visits by motivation to visit coffee shops. There are significant differences according to age, education background, marital status, occupation and monthly income. In addition, coffee shops use pattern characterization in frequency of visits to coffee shops, relationships with companion, purpose of visit, information sources, brand type, average expense per visit, important elements of selection attribute were significantly different depending on motivations for coffee shop visits.

• Journal of Aerospace System Engineering
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• v.18 no.2
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• pp.21-28
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• 2024

In light of the rapid development of the space industry, there has been increased attention on small satellites. These satellites rely on components that are considered to have lower reliability compared to larger-scale satellites. As a result, predicting reliability becomes even more crucial in this context. Therefore, this study aims to compare three reliability prediction techniques: MIL-HDBK-217F, RiAC-HDBK-217Plus, and FIDES. The goal is to determine a suitable reliability standard specifically for nano-satellites. Furthermore, we have refined the quality assurance factors of the manufacturing company. These factors have been adjusted to be applicable across various industrial sectors, with a particular focus on the selected FIDES prediction standard. This approach ensures that the scoring system accurately reflects the suitability for the aerospace industry. Finally, by implementing this refined system, we confirm the impact of the manufacturer's quality assurance level on the total failure rate.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.4
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• pp.553-568
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• 2024

Due to the rapid development of IoT technology and the increase in home activities after the COVID-19 pandemic, users' demand for smart homes has increased significantly. As the size of the smart home market increases every year and the number of users increases, the importance of personal information protection and various security issues is also growing. It often grants temporary users smart home owner rights and gives them access to the system. However, this can easily allow access to third parties because the authorities granted are not properly managed. In addition, it is necessary to prevent the possibility of secondary damage using personal information collected through smart home devices and sensors. Therefore, in this paper, to prevent indiscriminate access to smart home systems without reducing user convenience, access rights are subdivided and designed according to the functions and types of smart home devices, and a token-based user access control technique using personal devices is proposed.

• Korean Journal of Environment and Ecology
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• v.26 no.3
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• pp.463-471
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• 2012

Objective of this study is to provide basic information for developing more differentiated and targeted forest healing policy and Korean medical healing programs grounded on consumer preference for forest based Korean medical healing tourism products. The internet survey(CAWI) by percentage quota sampling with 400 Seoulite ages over 30 by the age, area, and gender was conducted, and 317 samples were used for a final analysis. 61.5% of the Seoulite associated 'forest bath/walking in the woods/tree' with an image of a forest based Korean medical healing tourism product, and preference for the product and the intention to use were positive at the percentages of 72.9% and 67.5%, respectively. Preferred areas were Seoul/Gyeonggi-do(53.5%) and Gangwon-do(38.8%). 'Stress solving and refreshment', 'taking a forest bath and a walk', and 'maintaining and promoting health' were the main purposes of the use. As for a therapy, 'walking therapy' was most preferred, and 'ergotherapy' was the next. First priority as for a use facility was 'healing trail', and 'professional medical facility' ranked second. Although important decision attributes were ' cost of use', 'food', and 'friendliness of medical staff', all the other sets of attributes related to use convenience, quality of medical service and tourism activities also recorded high, which forecasts higher consumer expectation for the product. As the result showing differences in consumer preference by the demographic segmentation, differentiated and segmented consumer needs should be considered when planing and managing a product. The scope of the study is limited to a demographic segmentation which is a basic stage of understanding consumer preference, therefore more detailed future researches on complicated and multi-dimensional consumer needs are required.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.23-31
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• 2016

The domestic market of CM at Risk has not been activated yet. It was analyzed duo to the fact that construction owners didn't have confidence in CM at Risk, because of the concerns regarding CM firms reliability, service, specialty, system and feasibility. Therefore, this study analyzed the problems to find the reason for declines in orders through a business diagnosis based on the Business Model Canvas(BMC) and set up the direction of business model improvement with one on one expert interviews. Additionally, we suggested the sub-activities for the business model improvements of CM at Risk service that are divided into 9 building blocks. Through this method, we determined that we would need preceding innovation activities such as good communication with customers, reinforcement of subcontract and excellence in project operations to convert the successful practice and settlement of the CM business model based in BMC. It is expected that the business model suggested from this study would contribute to improvement of CM at Risk competition and the differentiation strategy when compared with other firms. Also, it would be used a basis data to develop CM at Risk business model in the future.