• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.1
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• pp.40-49
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• 2010

This study investigates the differences in: 1) attitudes toward the advertising ofjeans, buying intension, importance of merchandise selection factors, and utilization of information sources among groups according to the level of fashion involvement 2) attitudes toward advertising and buying intension among types of advertising 3) importance among merchandise selection factors 4) utilization among types of information source. Questionnaires were distributed to 300 men and women between 10 and 30 years of age. A sample of 286 men and women responded to the questionnaire. Using SPSS/PC version 12.0, factor analysis, reliability analysis, analysis of variance, and randomized block design are used for the data analysis. The results showed significant differences in: 1) attitudes toward the advertising of jeans, buying intension, importance of merchandise selection factors, and utilization of information source among groups according to levels of fashion involvement 2) attitudes toward advertising and buying intension among types of advertising 3) importance among merchandise selection factors 4) utilization among types of information sources.

• Korean Journal of Human Ecology
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• v.24 no.4
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• pp.571-586
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• 2015

This study examined the effect of ambivalent fashion consuming tendency on continuous information search and fashion store selection. Surveys period was from Jan. 8th to Jan. 20th in 2014. The subjects of this study were the young 218 women who had the shopping experiences with ambivalent fashion consuming tendency in their 20s of Pusan and Kyung-nam. These surveys referred to the relevant preceding researches and were completed by some pilot researches (focus group interview, paper-pencil test). The data was analyzed by frequency analysis, reliability analysis (Cronbach's ${\alpha}$), factor analysis and regression analysis. The main results of this study were summarized like following: First, this study was based on the definition and characteristics of the ambivalent fashion consuming tendency. The current ambivalent fashion consuming tendency consisted of price ambivalence, trend ambivalence and brand ambivalence. The consumer's demographic characteristics affected trend ambivalence, brand ambivalence. Second, continuous information search was composed of entertaining information search and rational information search. Third, ambivalence fashion consuming tendency had a strong influence on continuous information search (information search and share activity). Forth, the price ambivalence, trend ambivalence and brand ambivalence, which is the factors of ambivalent fashion consuming tendency, significantly impacted on selecting the fashion store. In conclusion, ambivalent fashion consuming tendency is main related factor impacting on continuous information search and fashion store selection.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.547-558
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• 2004

The purposes of this study were to classify shopper types based on clothing shopping orientations and to identify the differences in store selection criteria and demographic characteristics by shopper types. The questionnaire was administered to female and male undergraduate and graduate students living in Seoul. Of 330 returned questionnaires, 319 were used in the statistical analysis which were factor analysis, cluster analysis, $\chi$$^2$-test, and One-way ANOVA. The results of this study were as follows: 1) Clothing shopping orientations had six factors: recreational shopping, name conscious shopping, economic shopping, fashion oriented shopping, convenience shopping. and individualistic shopping. Cluster analysis identified that clothing shopping orientations had four groups: recreational cluster, individualistic cluster, demanding shopper cluster, and convenient brand conscious shopper cluster. 2) Clothing shopping orientations were significantly different in relation to the demographic characteristics such as gender, major field of study, expenditure on clothing, pocket money, and family income level. 3) Store selection criteria had five factors: service quality, physical store environment, sales personnel, shopping convenience, and other attractions. 4) There were significant differences in physical store environment, shopping convenience, and other attractions according to the shopper clusters.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.5
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• pp.623-633
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• 2006

This study surveyed the selection attributes and degree of satisfaction among Japanese restaurant customers by conducting frequency analysis on the data. Among all types of Japanese restaurants customers selected sushi bars the most (48.2%), and they considered taste (73.9%), price (34.8%), and service (22.2%) to be very important. When eating at Japanese restaurants, satisfaction differences among sanitation (p<0.05), price (p<0.05), and unique design (p<0.1) each had a significant difference with F values of 3.313, 3.208, and 2,702, respectively. factor analysis of the effect of selection attributes on Japanese restaurant performance revealed three factors; image, service, and food. Their combined satisfaction was 61.41%, and each of these three factors showed a Cronbach's ${\alpha}$ value of 0.744, 0.739, and 0.623 in the reliability analysis, respectively, thus demonstrating the overall level of reliability. Multiple regression analysis showed that increased overall satisfaction of Japanese food was related to the satisfaction levels of food and service, and not to that of surrounding satisfaction.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.84-91
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• 2021

The purpose of this study is to investigate the structural relationship between resort selection attributes, emotional responses, and empirical values of scuba diving participants. The general population who enjoys scuba diving in Korea was selected as the population. Using the convenience sampling method, 553 of the 600 questionnaire samples were extracted as the final valid sample. For data processing, frequency analysis, exploratory factor analysis, and Cronbach's α test were performed using SPSS 23, and confirmatory factor analysis and structural equation model analysis were performed with AMOS 18. The results are as follows: First, among the sub-factors of selection attributes, equipment, facility environment, and diving point showed a positive effect on emotional response, but staff service did not have any significant effect. Second, the emotional response positively affected by the selection attribute showed a positive effect on all factors of service excellence, consumer utility, fun value, and aesthetic value of empirical value. Therefore, scuba diving resort managers must recognize the importance of equipment, facility environment, and diving point among these selection attributes of customers. And to satisfy the customer needs the resort must accurately identify the needs for diving equipment, facility environment and diving point. Various methods for this should be explored through the needs of the identified customers, and efforts should be made to provide safe equipment, comfortable facilities, and various diving points.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.116-131
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• 2022

This study used text mining to analyze big data to understand consumers' demand for and perceptions of fashion masks. Based on the text-mining analysis results, a survey was conducted with those living in Korea to investigate the influence of consumers' mask selection criteria on mask brand awareness and purchase intention for fashion masks. "Fashion mask" and "functional mask" were used as the keywords in a text-mining analysis, and an online survey of 242 respondents was conducted. The analysis results were as follows: First, the text-mining analysis extracted commonly appearing words that had a high frequency and TF-IDF, such as "COVID-19," "fashion," "celebrity," "antibacterial," and "filter." This confirmed that during the COVID-19 pandemic, consumers have demanded masks that are both functional and fashionable. Second, among consumers' mask selection criteria, trend and design had positive effects on face-mask brand awareness. Third, face-mask brand awareness had a positive effect on the purchase intention for both brand and fashion masks, and the purchase intention for brand masks had a positive effect on the purchase intention for fashion masks.

• Journal of the Ergonomics Society of Korea
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• v.20 no.2
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• pp.1-28
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• 2001

This paper deals with the selection of the important Influencing Factors (IFs) under accident management situations in nuclear power plants for use in the assessment of human errors. In order to achieve this goal, we collected two types of IF taxonomies, one is the full set IF list mainly developed for human error analysis. and the other is the IFs for human reliability analysis (HRA) in probabilistic safety assessment (PSA). Five sets of IF taxonomy among the full set IF list and ten sets of IF taxonomy among HRA methodologies were collected in the study. From the review and analysis of BRA IFs, we could obtain some insights for the selection of HRA IFs. By considering the situational characteristics of the accident management domain, candidate IFs are chosen. Finally, those IFs are structured hierarchically to be appropriate for the use in the assessment of human error under accident management situation. Three nuclear accidents such as TMI. Chernobyl and JCO were analysed to validate the proposed taxonomy.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.84-89
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• 2022

For system maintenance optimization, it is necessary to establish a state information system by CBM+ including CBM and RCM, and sensor selection for CBM+ application requires system process for function model analysis at the early design stage. The study investigated the contents of CBM and CBM+, analyzed the function analysis tasks and procedures of the system, and thus presented a D-FMEA based sensor selection inference methodology at the early stage of design for CBM+ application, and established it as a D-FMEA based sensor selection inference process. The D-FMEA-based sensor inference methodology and procedure in the early design stage were presented for diesel engine sub assembly.

• Journal of Communications and Networks
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• v.12 no.6
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• pp.616-623
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• 2010

In this paper, exact closed-form expressions for outage probability and bit error probability (BEP) are presented for multi-hop decode-and-forward (DF) relaying schemes in conjunction with cooperative diversity, in which selection combining technique is employed at each node. We have shown that the proposed protocol offers remarkable diversity advantage over direct transmission as well as the conventional DF relaying schemes with the same combining technique. We then investigate the system performance when different diversity schemes are employed. It has been observed that the system performance loss due to selection combining relative to maximal ratio combining is not significant. Simulations are performed to confirm our theoretical analysis.

• Culinary science and hospitality research
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• v.8 no.1
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• pp.149-170
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• 2002

As the life style of modern people is gradually being more scientific, up-to-date, and specialized, food habit and food cut lure are a measure of cultural level of a country. Studies on consumer behavioral model show that food habit is closely related to consumer preference, changing life pattern and increasing family income. The purpose of this study was, accordingly, to define the impact of menu characteristics on customer menu selection. For that purpose, some at tempts were made: First, discuss the theories on family restaurant and customer purchasing behavior as a standard of analysis. Second, find out if there are any differences in customer menu- selection factors in family restaurant Third, make an empirical analysis of menu-selection factors in family restaurant to suggest in which direction it should move forward Fourth, analyze the relationship of demographic characteristics to menu-select ion factors.