• 한국의류산업학회지
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• 제14권1호
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• pp.64-74
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• 2012

The purpose of this study was to find purchase appraisal standard and post-purchase satisfaction for natural dyeing products. The data used for this study were collected from the women in their from 20's to 50's who are living in the regions of Busan, Ulsan, and Gyeongnam in Korea. The questionnaire of 537 copies was used for a statistical analysis. To analyze data, 2-test, t-test, Cronbach's a test, factor analysis, ANOVA, Duncan test, regression analysis, etc. were carried out. A used statistical package was SPSS 14.0. The analysis results were as follows. The purchase appraisal standards for natural dyeing products were identified as practicality and reliability, suitability of use, symbolic property of status, design property, and convenience of buying. As the analysis result for purchase appraisal standard according to the demographic characteristics, the purchase appraisal standard according to most demographic characteristics showed significant difference. The factors of post-purchase satisfaction for natural dyeing products were verified as product modification and durability, design and price, hygienic property and product quality. As the analysis results of post-purchase satisfaction for natural dyeing products according to demographic characteristics, the post-purchase satisfaction according to demographic characteristics showed significant difference. The factors affecting post-purchase satisfaction were verified as product quality, kinds of item, color change, product lifespan, color change, etc. Consequently, because the purchase appraisal standard of natural dyeing product is very various, it is necessary to enhance post-purchase satisfaction of natural dyeing products by reflecting these factors in advance at the product development stage.

• 패션비즈니스
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• 제15권1호
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• pp.50-62
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• 2011

The purpose of this study is to catch the difference for the appraisal standard of a product which the adult women's consumers think importantly when they purchase the clothing made of organic cotton and the appraisal standard according to the demographic characteristics. The data collection for research was done for the women in from their 20's to 50's who are living in the regions of Gyungnam, Busan, Ulsan in Korea. The copies of the used questionnaire were 622 copies. To analyze the collected data, ${\chi}^2$-test, t-test, Cronbach's ${\alpha}$ test, ANOVA, Duncan test were carried out by SPSS 14.0. As the analysis result of data, the appraisal standard for purchasing the clothing made of organic cotton was classified with the five factors. The appraisal standard which the adult women's consumers think importantly when they purchase the clothing made of organic cotton showed the significant difference according to the demographic characteristics. The ratio for post-purchase dissatisfaction showed higher than the one for satisfaction. The dissatisfaction showed the significant difference according to the demographic characteristics. The dissatisfaction for a high price, color and insufficient design showed a relatively high ratio.

• 한국식품영양학회지
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• 제20권2호
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• pp.226-239
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• 2007

The purpose of this study was to identify the problems related to the purchasing processes of school foodservices that should be corrected for the food service safety, by examining the purchasing processes and the status of supplier selection. A questionnaire was given to 300 dietitians working at self-operated food services. Ninety-eight responses, excluding incomplete answers, were used for the statistical analysis. The survey consisted of three parts: the general characteristics of the school foodservice and dietitian, purchasing processes and supplier selection, and the purchase specifications. We found that 84% of the contract was made by informal purchasing, and the contract period was 6 months or one year. For supplier selection, problems related to the document screening systems were the superficiality of the content(45.7%) and the absence or lack of clarity of the appraisal criteria(34.8%). The important factors for the facility and equipment standards of suppliers were included unclear evaluation methods for content(41.1%) and inappropriate appraisal lists(21.1%), while unclear evaluation methods for content(41.9%) and absence or lack of clarity of the appraisal criteria(20.4%) were the problems pertaining to the supplier evaluation checklist. When using the Food Labeling Standards to select suppliers, confirmation of the sell-by date and the storage method had the highest score at 3.85 out of 5. For supplier selection, only 25% of the contract was made by using the purchase specifications. The levels of satisfaction of with Kimchi and rice cakes suppliers were significantly different according to employment type and educational background, respectively. Depending on working experiences, satisfaction was significantly different for the use of document screening, as a standard for the selection and management of suppliers, and for the facility and equipment standards of suppliers, The use of purchase specifications was different by employment type, while the use of purchase specifications for contracts was different by working experience. These results imply that the specialization of suppliers is necessary to unsure food safety. Therefore, the objective methods to evaluate the suppliers should be developed by the government, and appropriate education programs for dietitians should be prepared to enhance the utilization of purchase specifications.

• 지능정보연구
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• 제25권2호
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• pp.123-139
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• 2019

국내 NPL (Non performing loan) 시장은 1998년에 형성되었지만, 본격적으로 활성화 된 시기는 2009년으로 역사가 짧은 시장이다. 이로 인해 NPL 시장에 대한 연구도 아직까지는 활발히 진행되지 않고 있는 상황이다. 본 연구는 NPL 시장의 각 물건 별 기준 수익률 달성 유무를 예측할 수 있는 모델을 제안한다. 모델 구축에 사용되는 종속변수는 물건 별 최종 수익률이 기준 수익률 수치 도달 여부를 나타내는 이항변수를 사용하였고, 독립변수로는 물건의 특성을 나타내는 11개의 변수를 대상으로 one to one t-test와 logistic regression stepwise, decision tree를 수행하여 의미있는 7개의 독립변수를 선별하였다. 그리고 통상적으로 사용되는 기준 수익률 수치(12%)가 의미있는 기준 수치인지 확인하기 위해 수치 값을 조절해가며 종속변수를 산출하여 예측모델을 구축해보았다. 그 결과 12%의 기준 수익률 수치로 산출한 종속변수를 이용하여 구축한 예측모델의 평균 Hit ratio가 64.60%로 가장 우수하다는 결과를 얻었다. 다음으로 선별된 7개의 독립변수들과 12%를 기준으로한 수익률 달성유무 종속변수를 이용하여 판별분석, 로지스틱 회귀분석, 의사결정나무, 인공신경망, 유전자알고리즘 선형 모델의 5가지 방법론을 적용해 예측모델을 구축해보았다. 5가지 방법론으로 도출한 예측 모델 간 Hit ratio를 비교한 결과 인공신경망을 이용하여 구축한 예측모델의 Hit ratio가 67.4%로 가장 우수한 결과를 도출해내었다. 본 연구를 통해 추후 NPL시장 신규 물건 매매에 있어서 7가지의 독립변수들과 인공신경망 예측 모델을 활용하는 것이 효과적임을 증명하였다. 물건의 12% 수익률 달성 여부를 사전에 예측해봄으로써 유동화회사가 투자 의사결정을 하는 데에 도움을 줄 것으로 예상하며, 나아가 NPL 시장의 거래가 적정한 가격 선에서 진행됨으로 인해 유동성이 더욱 높아질 것이라 기대한다.

• 재무관리논총
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• 제3권1호
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• pp.233-265
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• 1996

We examine the impact of public and private information on price movements using the thirty DJIA stocks and twenty-one NASDAQ stocks. We find that the standard deviation of daily returns on information days (dividend announcement, earnings announcement, insider purchase, or insider sale) is much higher than on no-information days. Both public information matters at the NYSE, probably due to masked identification of insiders. Earnings announcement has the greatest impact for both DJIA and NASDAQ stocks, and there is some evidence of positive impact of insider asle on return volatility of NASDAQ stocks. There has been considerable debate, e.g., French and Roll (1986), over whether market volatility is due to public information or private information-the latter gathered through costly search and only revealed through trading. Public information is composed of (1) marketwide public information such as regularly scheduled federal economic announcements (e.g., employment, GNP, leading indicators) and (2) company-specific public information such as dividend and earnings announcements. Policy makers and corporate insiders have a better access to marketwide private information (e.g., a new monetary policy decision made in the Federal Reserve Board meeting) and company-specific private information, respectively, compated to the general public. Ederington and Lee (1993) show that marketwide public information accounts for most of the observed volatility patterns in interest rate and foreign exchange futures markets. Company-specific public information is explored by Patell and Wolfson (1984) and Jennings and Starks (1985). They show that dividend and earnings announcements induce higher than normal volatility in equity prices. Kyle (1985), Admati and Pfleiderer (1988), Barclay, Litzenberger and Warner (1990), Foster and Viswanathan (1990), Back (1992), and Barclay and Warner (1993) show that the private information help by informed traders and revealed through trading influences market volatility. Cornell and Sirri (1992)' and Meulbroek (1992) investigate the actual insider trading activities in a tender offer case and the prosecuted illegal trading cased, respectively. This paper examines the aggregate and individual impact of marketwide information, company-specific public information, and company-specific private information on equity prices. Specifically, we use the thirty common stocks in the Dow Jones Industrial Average (DJIA) and twenty one National Association of Securities Dealers Automated Quotations (NASDAQ) common stocks to examine how their prices react to information. Marketwide information (public and private) is estimated by the movement in the Standard and Poors (S & P) 500 Index price for the DJIA stocks and the movement in the NASDAQ Composite Index price for the NASDAQ stocks. Divedend and earnings announcements are used as a subset of company-specific public information. The trading activity of corporate insiders (major corporate officers, members of the board of directors, and owners of at least 10 percent of any equity class) with an access to private information can be cannot legally trade on private information. Therefore, most insider transactions are not necessarily based on private information. Nevertheless, we hypothesize that market participants observe how insiders trade in order to infer any information that they cannot possess because insiders tend to buy (sell) when they have good (bad) information about their company. For example, Damodaran and Liu (1993) show that insiders of real estate investment trusts buy (sell) after they receive favorable (unfavorable) appraisal news before the information in these appraisals is released to the public. Price discovery in a competitive multiple-dealership market (NASDAQ) would be different from that in a monopolistic specialist system (NYSE). Consequently, we hypothesize that NASDAQ stocks are affected more by private information (or more precisely, insider trading) than the DJIA stocks. In the next section, we describe our choices of the fifty-one stocks and the public and private information set. We also discuss institutional differences between the NYSE and the NASDAQ market. In Section II, we examine the implications of public and private information for the volatility of daily returns of each stock. In Section III, we turn to the question of the relative importance of individual elements of our information set. Further analysis of the five DJIA stocks and the four NASDAQ stocks that are most sensitive to earnings announcements is given in Section IV, and our results are summarized in Section V.