• Journal of the Korean Home Economics Association
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• v.45 no.3
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• pp.33-42
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• 2007

The purpose of this study was to examine the relationship between online apparel impulse buying behavior and product category/price of apparel items. The data were collected using an online survey with a structured questionnaire and a total of 731 responses were retained. Two hypotheses were put forward to test the relationships among the variables. Test of H1 showed that some product categories purchased by the respondents in the impulse purchase group were significantly different from those bought by the non-impulse purchase group. Categories such as shirt/blouse and belt were bought more frequently by the respondents in the impulse purchase group whereas shoes were bought more frequently by those in the non-impulse purchase group. The respondents in the impulse purchase group bought more items that cost less than $25 than those in the non-impulse purchase group. Based on the results, H1 and H2 were supported. From the results of the study, it is concluded that product categories and product price are closely related to the online apparel impulse buying behavior.

• Structural Engineering and Mechanics
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• v.65 no.2
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• pp.191-201
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• 2018

The corrosion environments in a steel structure are significantly different depending on the individual parts of the members. To ensure the safety of weathering steel structures, it is important to evaluate the time-dependent corrosion behavior. Thus, the progress and effect of corrosion damage on weathering steel members should be evaluated; however, the predicted corrosion depth, which is affected by the corrosion environment, has not been sufficiently considered until now. In this study, the time-dependent thicknesses of the corrosion product layer were examined to quantifiably investigate and determine the corrosion depth of the corroded surface according to the exposure periods and corrosion environments. Thus, their atmospheric exposure tests were carried out for 4 years under different corrosion environments. The relationship between the thickness of the corrosion product layers and mean corrosion depth was examined based on the corrosion environment. Thus, the micro corrosion environments on the skyward and groundward surfaces of the specimens were monitored using atmospheric corrosion monitor sensors. In addition, the evaluated mean corrosion depth was calculated based on the thickness of the corrosion product layer in an atmospheric corrosion environment, and was verified through a comparison with the measured mean corrosion depth.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.281-288
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• 2008

The purpose of this study was to investigate how clothing interest, fashion involvement, and self-consciousness affect brand recall, brand attitude and buying intension of the product placed on TV drama. The data were collected using a self-administered and structured questionnaire on subject of 270 middle school students and 260 high school students in Pusan. Frequency analysis, $X^2$-test, t-test, and multiple regression were used to conduct the data analysis on 524 out of 530 questionnaires. Clothing interest and the level of self-consciousness had significant influence on brand recall and emotional brand attitude of the product placed on TV drama. Self-consciousness affected cognitional brand attitude. Moreover, TV drama clothing interest and fashion involvement had a significant influence on buying intension. Therefore, TV drama clothing interest was the main factor which affected brand recall, brand attitude and buying intension of the product placed on TV drama.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1100-1111
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• 2001

The purpose of this study was to develop fashion On-line store attributes for fashion On-line shopping mall and to identify significant On-line store attributes, influencing consumers'purchase intention of interned fashion product shopping. A questionnaire was administered to 456 adults who had purchasing experience at fashion On-line shopping mall. SPSS 9.0 package was used for data analysis. Factor analysis, $X^2-test$, t-test, frequency, percentage, one-way ANOVA, multiple regression analysis were utilized. The results were as follows; 1. The On-line store attribute dimensions of fashion On-line shopping mall were tangibility, variety, marketing promotion, responsiveness, reputation, price and convenience. 2. The purchase experienced consumers showed higher purchase intention of Internet fashion product shopping and highly perceived about all sub-factors, except reputation. in On-line store attributes that have significantly positive influence on fashion On-line shopping attitudes. The purchase experienced consumers showed more favorable attitudes toward Fashion On-line shopping than non purchase experienced consumers. Attitudes toward Fashion On-line shopping have directly impact on purchase intention of Internet fashion product shopping.

• Archives of design research
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• v.20 no.1 s.69
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• pp.79-88
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• 2007

A company's plan to reform its products' image cannot obtain expected results unless a color plan is included in the reformation plan. A color plan is essential since color conveys to customers much information on function, shape, and material quality of the product. In other words, color is the essential dimension or criteria that customers use when evaluating the quality of goods. Despite the importance of a color plan, companies in Korea are still behind in researching and receiving 'color information' compared to those in more advanced countries. Recognizing the importance of products color, many international companies constantly make their efforts to predict trendy colors and preferred styles of customers before they develop products. It is suggested that domestic companies invest more in color infrastructure to be more successful in making products which can catch the customers' eyes and emotion. Different life styles by age, income level, and gender would be only a few of many factors to be investigated to build color plans for a product. In this study, it is attempted to see the color tendency of young generation by gender, and also to analyze empirically the influence of product's color on its image and customers' behavior. The results are analyzed with frequency analysis, cross tabulation analysis, T-test, one-way ANOVA using SPSS Win 12. The results of this study show that color preference, product image and product attitude are influenced by product's color, and color is an important factor for forming additional emotional value together with the product's original functional value. Judging from the findings, it is recommended that a company undertake careful research before developing a product to find out how customers respond differently to products in different colors especially when the product belongs to the product category where color is considered to be a determinant factor in terms of choosing a brand.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.835-838
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• 2004

이전의 SCORM 1.2 와달리 SCORM(SharableConentObjectRefrulceModel)2004는 기술적인 면에 있어서 방대한 정보들을 다루고 있지만 그 사용자들은 SCORM 2004 conformant를 사용하여 교육용 product를 만들 때 어떤 정보가 중요한지 알 필요가 있다. 그렇기 때문에 ADL Technical Team 에서는 그에 필요한 중요한 정보들을 수집하고 구조화하여 사용자들이 새로운 교육용 product를 만들 때 참고할 수 있도록 만들어 놓았다. 이 논문에서는 새로운 교육용 content가 생성될 때 정의되어야 하는 SCORM conformance requirements 와, 관련된 SCORM conformance test suite 에 대해 알아보고 이의 한계점과 개선점을 찾아 새로운 conformance test suite를 제안한다.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.335-343
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• 2021

The study aimed to elucidate how to design a learning environment on the premise of micro-learning (ML) and investigate its impact on website designing skills and achievement motivation among secondary school students. Adopting the experimental approach, data were collected through an achievement test, a product evaluation form, and a test to gauge motivation for achievement. The sample was divided into two experimental groups. Results revealed statistically significant differences at 0.05≥α between the mean scores of the two groups that experienced ML, irrespective of the two modes of presenting the video in the pre-test and post-test, as for the test of websites design skills, product evaluation form, and achievement motivation test. Besides, there have been statistically significant differences at 0.05≥α between the mean scores of the first experimental group that had exposure to ML using the split-video presentation style and the scores of the second experimental group that underwent ML using continuous video presentation style in the post cognitive test of website design and management skills in favor of the group that had segmented-video-presentation ML. Another salient finding is the nonexistence of significant differences at 0.05≥α between the mean scores of the first experimental group that underwent segmented-video-presentation ML and the grades of the second experimental group that received ML with continuous video presentation style in the post-application of the product scorecard of websites designing skills and the motivation test. In light of these salient findings, the study recommended using ML in teaching computer courses at different educational stages in Saudi Arabia, training computer and information technology teachers to harness ML in their teaching and using ML in designing courses at all levels of education.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.451-460
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• 2008

This paper reviews nonparametric statistics by Neyman-Pearson test and Fisher test. Nonparametric statistics deal with the small sample with distribution-free assumption in multi-product and small-volume production. Two tests for various nonparametric statistic methods such as sign test, Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Mood test, Friedman test and run test are also presented with the steps for testing hypotheses and test of significance.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.9
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• pp.1354-1365
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• 2002

With the appearance of many new types of fashion stores in Korea, competitions among fashion store types art fiercer than ever before. As consumers alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type, and analyzing competitive structures among fashion stores are important to retailers and marketers for building a successful merchandising and marketing strategies. An empirical study was conducted to analyze the competitive structure among the store types by consumers' patronage mix behavior. A questionnaire was developed and data were collected from 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVL Duncan test, and discriminant analysis were employed to analyze the data. Data regarding patronage mix behavior by product type proved that certain store types had ‘natural dominance’ in a particular product type as Hirschman(l978) pointed out. Also, a new analytic method of the competitive structures among fashion store types was suggested in the study, by which a specific store type retailer can analyze his/her own customers' patronage mix behavior by product type. The analysis will enable retailers to distinguish which of their competitors are substitutive, selling same product types, and which are complementary, selling different product types. Retailers have to concentrate on the strategies for the substitutive competitors rather than complementary competitors because their marketing abilities and resources are limited.

• Journal of Radiation Protection and Research
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• v.41 no.3
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• pp.237-244
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• 2016

Background: Korea Atomic Energy Research Institute is developing a fission product transport module for predicting the behavior of radioactive materials in the primary cooling system of a nuclear power plant as a separate module, which will be connected to a severe accident analysis code, Core Meltdown Progression Accident Simulation Software (COMPASS). Materials and Methods: This fission product transport (COMPASS-FP) module consists of a fission product release model, an aerosol generation model, and an aerosol transport model. In the fission product release model there are three submodels based on empirical correlations, and they are used to simulate the fission product gases release from the reactor core. In the aerosol generation model, the mass conservation law and Raoult's law are applied to the mixture of vapors and droplets of the fission products in a specified control volume to find the generation of the aerosol droplet. In the aerosol transport model, empirical correlations available from the open literature are used to simulate the aerosol removal processes owing to the gravitational settling, inertia impaction, diffusiophoresis, and thermophoresis. Results and Discussion: The COMPASS-FP module was validated against Aerosol Behavior Code Validation and Evaluation (ABCOVE-5) test performed by Hanford Engineering Development Laboratory for comparing the prediction and test data. The comparison results assuming a non-spherical aerosol shape for the suspended aerosol mass concentration showed a good agreement with an error range of about ${\pm}6%$. Conclusion: It was found that the COMPASS-FP module produced the reasonable results of the fission product gases release, the aerosol generation, and the gravitational settling in the aerosol removal processes for ABCOVE-5. However, more validation for other aerosol removal models needs to be performed.