• 한국의류학회지
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• 제31권4호
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• pp.495-506
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• 2007

As imported fashion products are increasing in the marketplace, country of origin information becomes a powerful product cue that can be used to gain competitive advantages of fashion brands. This study assessed the impact of multiple country of o.igin information(origin of brand and origin of production) on attitude toward the brand and product evaluation. Especially, the influence product price level was also examined. Jean was used as product stimuli and students were respondents for the empirical study. Results of this study affirmed the importance of country of brand origin and price information in brand attitude formation and product evaluation. Country of brand origin information and interaction effects of brand origin-price were significant for brand attitude formation. Country of brand origin and price information had significant influence on evaluation of Jean products.

• Safety and Health at Work
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• 제10권1호
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• pp.114-121
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• 2019

Background: The photolithography process in the semiconductor industry uses various chemicals with little information on their constitution. This study aimed to identify the chemical constituents of photoresist (PR) products and their by-products and to compare these constituents with material safety data sheets (MSDSs) and analytical results. Methods: A total of 51 PRs with 48 MSDSs were collected. Analysis consisted of two parts: First, the constituents of the chemical products were identified and analyzed using MSDS data; second, for verification of the by-products of PR, volatile organic compounds were analyzed. The chemical constituents were categorized according to hazards. Results: Forty-five of 48 products contained trade secrets in amounts ranging from 1 to 65%. A total of 238 ingredients with multiple counting (35 ingredients without multiple counting) were identified in the MSDS data, and 48.7% of ingredients were labeled as trade secrets under the Korea Occupational Safety and Health Act. The concordance rate between the MSDS data and the analytical result was 41.7%. The by-product analysis identified 129 chemicals classified according to Chemical Abstracts Service No., with 17 chemicals that are carcinogenic, mutagenic, and reprotoxic substances. Formaldehyde was found to be released from 12 of 21 products that use novolak resin. Conclusion: We confirmed that several PRs contain carcinogens, and some were not specified in the toxicological information in the MSDS. Hazardous chemicals, including benzene and formaldehyde, are released from PRs products as by-products. Therefore, it is necessary to establish a systematic management system for chemical compounds and the working environment.

• 통합자연과학논문집
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• 제14권3호
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• pp.73-77
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• 2021

Robust design is an approach to reduce the performance variation of mutiple responses in products and processes. In fact, in many experimental designs require the simultaneous optimization of multiple responses. In this paper, we propose how to simultaneously optimize multiple responses for robust design when data are collected from a combined array. The proposed method is based on the quadratic loss function. An example is illustrated to show the proposed method.

• 복식
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• 제54권5호
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• pp.71-81
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• 2004

The purpose of this study was to investigate the customer service factors and evaluation of consumer satisfaction on the purchase through the C2C E- commerce, focusing on the fashion goods. 190 college students who have purchased products via C2C E-commerce were surveyed. For data analysis, descriptive statistics, 1-test, Pearson＇s correlations, and multiple regression were used. As the results, 50.5% of respondents have purchased fashion products through C2C. Out of 4 C2C characteristics factors. there was statistically the significant difference in only ＇entertainment factor＇ between males and females. All five SERVQUAL＇s factors used for measuring service factors in this study were correlated to customer satisfactions scores. Also. results of multiple regression revealed that assurance, empathy, and reliability were significantly to related to customer satisfaction. Based on these results, fashion marketing strategy for C2C development would be suggested.

• 패션비즈니스
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• 제13권4호
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• pp.77-84
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• 2009

The purpose of this study was to examine family factors affecting compulsive buying behavior. Three hundred fifty-five female college students who had purchased fashion products through Internet shopping or TV home shopping participated in this study. For data analysis, descriptive statistics, correlation analysis, t-test, multiple regression, and reliability test. As the results, approximately 18% of respondents were revealed as compulsive buyers. Compulsive consumption scores were correlated to higher previous childhood consumption experience, family matters, parents' compulsive consumption tendency, and reference group. Also, results of multiple regression revealed that previous childhood consumption experience, parents' compulsive consumption tendency, and reference group were significantly related to compulsive buying, Finally, there were significantly differences between compulsive buyers and non-compulsive buyers on previous childhood consumption experiences, parents' compulsive consumption tendency, and reference group. Based on these results, this study would provide significant implications to academic scholars, consumer policy decision makers, and marketers.

• Journal of the Korean Data and Information Science Society
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• 제19권4호
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• pp.1255-1267
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• 2008

Evaluation indices for products or services are important to improve the internal process of the company and to compare those with competitive ones. The sigma level in Six Sigma management does important role to evaluate the core characteristic, CTQ(Critical To Quality), derived in the considered product/service or process. In this research, we propose an overall evaluation index for the product/service or process with multiple characteristics, in other words, multiple CTQs. The proposed overall evaluation index is useful for the cases that the single CTQ is not enough to evaluate the practical interests, for example, the final products and services with complex procedures and relatively large scaled processes. This approach is discussed with sigma level for applying Six Sigma Projects, however, it is applicable to indices based on proportion or percentage as well. The practical examples with a manufacturing process and a customer survey based on focus group interview are given for illustrations.

• 한국경영과학회지
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• 제37권3호
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• pp.13-21
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• 2012

In this note, a recent work in Won (2011) which investigates properties of the newsvendor model under progressive multiple discounts is revisited and a complete proof is provided for the conjecture on the consistent advantage of progressive multiple discounts over no-discounts in terms of the expected profit. The proof considers the generalized newsvendor model under progressive multiple discounts extended with positive shortage cost and salvage value which have not been considered in the previous newsvendor models under progressive multiple discounts. Without relying on derivatives, we prove that the expected profit under progressive multiple discounts are consistently greater than or equal to the one under no-discounts for every order quantity as far as her multiple discounts do not decrease customer demand, and therefore, the optimal expected profit under progressive multiple discounts is always greater than or equal to the one under no-discounts. As by-products from the proof, some interesting features of the generalized newsvendor model under progressive multiple discounts are revealed.

• East Asian mathematical journal
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• 제31권1호
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• pp.135-144
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• 2015

In this paper we establish several formulas for multiple integral transform of functionals defined on abstract Wiener space. We then use the these results to establish several basic formulas involving multiple convolution products.

• 한국치위생학회지
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• 제13권1호
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• pp.166-173
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• 2013

Objectives : The purpose of this study was to survey some soldiers oral care products along recognition, and thereby to identify possible correlations among those factors. Methods : Questionnaire survey was carried out targeting 272 soldiers. The collected data was performed frequency & percentage, fisher's exact test, chi-square test and multiple regression analysis. Results : Respondents approving the implementation of water fluoridation were 50.5%. The general factors of approval were age, education, Monthly household income. The knowledge factors of approval were experience of hearing of this program, the knowledge of the purpose of this program, the knowledge of the some regions in South Korea had been implement water fluoridation. The results of multiple logistic regression analysis were the awareness of oral health and the knowledge level of water fluoridation were related with this program approval. Conclusions : The study suggest that oral care products should be include in military dental health care program. In addition to development dental health programs each military unit is dental health care between Korean soldiers.

• 한국IT서비스학회지
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• 제14권4호
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• pp.185-197
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• 2015

As the uncertainty of demand in B2B electronics market has increased, firms need a strong method to estimate the market demand. An accurate prediction on the market demand is crucial for a firm not to overproduce or underproduce its goods, which would influence the performance of the firm. However, it is complicated to estimate the demand in a B2B market, particularly for the private sector, because firms are very diverse in terms of size, industry, and types of business. This study proposes both qualitative and quantitative demand forecasting approaches for B2B PC products. Four different measures for predicting PC products in B2B market with consideration of the different PC uses-personal work, common work, promotion, and welfare-are developed as the qualitative model's input variables. These measures are verified by survey data collected from experts in 139 firms, and can be applied when individual firms estimate the demand of PC goods in a B2B market. As the quantitative approach, the multiple regression model is proposed and it includes variables of region, type of industry, and size of the firm. The regression model can be applied when the aggregated demand for overall domestic PC market needs to be estimated.