In this paper, an analysis of two-way binary attribute data is performed using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the ANOVA may not be enough, especially for the case that the proportion is very low or high. The logistic transformation of proportion data could be a help, but not sound in the statistical sense. The adoption of generalized least squares(GLS) method entails much to estimate the variance-covariance matrix. On the other hand, the logistic regression methodology provides sound statistical background in estimating model parameters and related confidence intervals. The efficiencies of estimates are ensured with a simulated data with a view to demonstrate the usefulness of the methodology.

Since six sigma program was first introduced in late 1990's, it has been evolved in Korea. The number of six sigma adopting company are getting increased and diversify manufacturing, service, government. In these days, the rapid innovation of internet technology change the media industry's game rule. This paper is concerned with a six sigma applications to internet media portal service company. The main focus of this study is to introduce an empirical study on the implementation of DMAIC procedures for internet media portal service company.

In the future, smartphone convergences are not only based on the on/offline integration, but also with the integration between mobile communications and broadcasts. Therefore, there is a need to search for new direction of mobile device that enables variety user applications that are different from the existing size and application issue. The aim of this reserch is to improve user interface of smartphone's functional attribute. The survey results in this paper showed that the most preferable attribute of smartphone among the 8 was the wireless internet 25.3%, followed by messaging 20% and application 19.8%, which totaled to 62.5%. But the samples used were mostly limited to those aged 20 through 30. So the results are not considered as a representative preference of all smartphone users, and should be considered otherwise before materializing them to a product. Therefore, for the more liable results the further research should be conducted to gather data from a variety of users of all ages, and the functional attribute should be analysed through QFD.

In this paper, the author devised new decision recommendation ordering method of items attributed by age to improve accuracy of recommender system. In conventional recommendation system, recommendation order is decided by high order of preference prediction. However, in this paper, recommendation accuracy is improved by decision recommendation order method that reflect age attribute of target customer and neighborhood in preference prediction. By applying decision recommendation order method to recommender system, recommendation accuracy is improved more than conventional ordering method of recommendation.

현대기업은 흩어져 있는 정보를 어떻게 수집하고 가공하여 어떻게 이용할 것인가가 기업 운영에서의 주요한 관심사라고 할 수 있다. 수집된 정보는 사용자의 펼요에 따라 정보의 가공방식이 달라지며 그 결과도 달라진다. 따라서 사용자의 욕구를 정확히 파악한 후 이에 따른 CRS의 구축과 실행이 있어야 한다. 한편，CRS도 소프트웨어로써 시스템에 대한 해킹，아이디 무단사용 등과 같은 불법사용 사례가 많이 발생하고 있다. 이러한 시스템에 대한 불법사용을 단속하려면 국가의 지적재산권에 대한 정책이 필요할 뿐만 아니라 사용자들의 디지털 저작권에 대한 정확한 인식도 매우 중요하다. 본 연구는 중국의 대표적인 CRS-ETERM과 한국의 대표적인 CRS-TOPAS의 사용자들을 대상으로 ETERM과 TOPAS의 Software 속성과 디지털 저작권에 대한 사용자들의 인식을 비교，분석하고 CRS에 대한 만족도를 파악하며 시스템에 대한 추천의도에 미치는 영향을 파악하려고 한다.

The aim of the current study was to investigate the impact of store attribute satisfaction on intentions of revisit and recommendation among clothing consumers. The data were collected from 319 consumers through survey and frequency analysis, reliability analysis, factor analysis, and multiple regression analysis were used to obtain results. The findings were as follows: 1. From factor analysis, seven factors were distracted: Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 4(transportation convenience and access), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service). 2. Four factors had statistically significant influence on overall satisfaction of clothing consumers. The most influential factor was Fact 2(store's facility and environment) and Fact 5(selling and advertisement), Fact 1(brand and price), and Fact 4(transportation convenience and access) showed their effects on overall satisfaction in an hierarchical rank-order following Fact 2. 3. Four factors such as Fact 2 (store's facility and environment), Fact 1(brand and price), Fact 4(transportation convenience and access) and Fact 5(selling and advertisement) in an hierarchical rank-order from Fact 1 had statistically significant impact on intentions of revisit. 4. Six factors such as Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service) in an hierarchical rank-order from Fact 1 had statistically significant influence on the intention of recommendation. 5. The results further showed that among seven factors, Fact 1(brand and price), ‘Fact 2(store's facility and environment), and Fact 5(selling and advertisement) had impact on both the intention of revisit and the intention of recommendation.

This paper introduces fourteen single, double, multiple and sequential acceptance sampling plans based on switching rule. Revised KS standards for acceptance sampling by attribute and by variable such as KSA ISO 2859-0, 1:2001 2859-2:2001, 8422:2001, 3951:2006, 8423:2001, MIL-STD-105E:1989, 414:1968 and ANSI/ASQ Z1.4, Z1.9:2003 are presented.

This paper introduces six single and sequential acceptance sampling plans based on OC( Operating Characteristic) curve. Revised KS standards for acceptance sampling by attribute and by variable such as KSA 3102 : 1996, 3103 : 2005, KSA ISO 14560 : 2006, 8422 : 2001, 8423 : 2001 are presented.

This paper introduces nine acceptance sampling plans by attribute based on screening (sorting, rectifying). Revised KS standards for single and double acceptance sampling by attribute such as Dodge - Romig : 1998, KSA ISO 2859 - 2 : 2001, 13448 - 1, 2, MIL - STD - 105E : 1989, KSA IEC 60410 and ANSI/ASQ Z1. 4 : 2003 are presented.

This paper introduces three continuous sampling plans by attribute. Revised KS standards for acceptance samplings such as KSA ISO 2859-3, 4 : 2001 and 21247 : 2007 are presented. These plans are based on skip-lot, DQL(Declared Quality Level) and VL (Verification Level).

시장에 가정 먼저 진입한 제품은 시장 점유율 및 재구매율 측면에서 후발제품에 비해 경쟁우위를 가지게 되는데, 이를 선발제품의 이점(pioneer advantage)이라고 한다. 후발제품이 선발제품의 이점을 극복하기 위한 차별화 전략에는 이미 존재하는 속성의 성능을 강화하거나 새로운 속성을 추가하는 방안이 있다. Zhang과 Markman[51]에 의하면 제품에 이미 있는 속성으로 차별화하는 전략이 새로운 속성으로 차별화하는 전략보다 더 효율적이라고 하였다. 그러나 상황적 제약에 따라 소비자들은 새로이 추가된 속성 정보를 더 주의 깊게 처리하는 것으로 나타났다. 한편 감정이 연이은 인지과정에 미치는 현상을 평가 경향(appraisal tendency)라고 하는데, 경험하는 확실성 수준에 따라 사람들은 정보를 보다 체계적으로 또는 직관적으로 처리하는 경향이 있다. 본 연구에서는 차별점의 정렬 가능성 (비교를 하는 대상의 속성을 나란히 비교할 수 있는지 여부) 및 확실성 유발 정서에 따라 후발제품에 대한 소비자들의 선호도가 어떻게 달라지는지를 보고자 하였다. 참가자들은 특정한 감정을 경험하도록 유발된 후, 제품평가과제를 수행하였다. 예사대로 확실성 유발 감정을 경험한 참가자들은 제시된 메시지를 보다 직관적으로, 불확실성 유발 감정을 경험한 참가자들은 제시된 메시지를 보다 체계적으로 처리하는 경향이 나타났다. 본 연구는 기업이 새로운 브랜드를 출시하는 경우 마케팅 전략을 세우는데 고려야할 요소를 추가적으로 제시했다는 점에서 의의가 있겠다.

This paper deals with selecting an optimal rapid prototyping(RP) machine that suits the end use of a part. Evaluation factors include only major attributes such as accuracy, roughness, strength, part cost and build time that greatly affect the performance of RP machines. Accuracy, surface roughness and strength are presented as crisp values. The part cost and build time identified as just approximate ranges due to different human cost and many variable parameters are presented by linguistic values. It can be described with triangular fuzzy numbers. Based on the evaluation values obtained, an appropriate RP process for a specific part application can be selected by using the modified TOPSIS(Technique of Order Preference by Similarity to Ideal Solution) method including crisp data as well as linguistic variables, and each weight on the alternatives is assigned by using a fuzzy weight. The ranking order of all machines provides the decision information for the selection of RP machines.

The purpose of this study was to measure the tourists' preference for alternative restaurants with different combinations of 4 attribute levels: origin description, food type, price and service guarantee. A total of 210 questionnaires were completed from tourists who visited Kwangyang, Suncheon and Yeosu during Jan. 2 - Jan. 15, 2007. Conjoint experiment method was used to develop hypothetical restaurants. Ordinal probit model was used to measure the effects of attribute levels on the tourists' preference. Results of the study demonstrated that the ordinal probit model analysis result for the data indicated excellent model fit. The effects of attribute levels (origin description, traditional food, fusion food, price, service guarantee) on the tourists' preference were statistically significant. As expected, estimates of marginal willingness to pay for origin description(3.063), food type(2.349), and service guarantee(2.356) were statistically significant. Moreover, tourists were more willing to pay for origin description than other attribute levels. Tourists also considered the origin description as the very important attribute. In conclusion, based on conjoint analysis, a model was proposed of marginal willingness to pay of attribute levels. It should be noted that the original model was modified and should, preferably, be validated in future research.

The purpose of this study was to analyze the factors consumers seriously considered when purchasing HMRs and the difference among the factors according to their demographic characteristics. The subjects were adults in their twenties or older who had used HMRs and lived in Seoul and Gyeonggi Province in Korea. Random sampling picked 550 of them, who were distributed a questionnaire from March 12 to 30, 2005. Total 451 questionnaires were returned(the return rates were 82%). The validity of the 27 features was examined by factor analysis. There were seven factors identified, and they were labeled considering the meaning of their items as follows: 'Factor 1. food quality,' 'Factor 2. appearance and packaging,' 'Factor 3. convenience and reliability,' 'Factor 4. access,' 'Factor 5. familiarity,' 'Factor 6. positive experiences,' and 'Factor 7. practicality.

본 연구는 한라산국립공원내 1100도로와 5 16도로변의 식물상 및 식생을 조사하여 귀화식물의 분포특성을 분석하였다. 한라산국립공원내 도로변에 분포하는 관속식물은 62과 145속 총 197분류군이었으며, 이중 귀화식물은 11과 29속 37분류군인 것으로 나타났다. 도로변 식생구조는 1100도로변인 경우 큰김의털-오리새 군집으로 대부분 이루어졌으며, 이 군집은 붉은토끼풀-창질경이 아군집과 제주조릿대-풀고사리 아군집으로 구분되었다. 5 16 도로변인 경우 큰김의털-오리새 군집과 주름조개풀-양지꽃 군집 및 돼지풀-고마리 군집으로 구분되었다. 이들 지역에 분포하는 귀화식물은 1년생 식물이 전체 51.4%를 차지하였으며, 유럽원산이 70.3%로 가장 높은 구성율을 보였다. 도입배경은 사료 또는 곡물에 혼입되거나 목초용으로 유입된 경우가 각각 35.1%, 21.6%로 나타나 다른 도입경로보다 높은 것으로 나타났다. 이와 같이 한라산국립공원내 도로변에는 귀화식물인 큰김의털-오리새 군집이 대부분의 도로변에서 형성되어 있고 다양한 귀화식물이 분포하고 있었는데, 이는 도로 개설이나 확장, 정비 등에 따른 훼손지역 녹화용으로 큰김의털과 오리새 등이 주로 사용되었기 때문인 것으로 판단된다.

The purpose of this study was to elicit types of food-related lifestyle of undergraduates and to examine the relationship between each ape of food-related lifestyle and an attribute of selecting a restaurant. Self-administrated questionnaires were completed by 368 students and data were analysed by frequency, factor, reliability and canonical correlation. Five factors were obtained from factor analysis of food-related lifestyle ; Factor1 'health seeking type', Factor2 'taste seeking type', Factor3 'Popularity seeking type', Factor4 'safety seeking type', Factor5 'mood seeking type'. Restaurant selection attribute were extracted into six factors, Factor1 'taste and service', Factor2 'interior‘, Factor3 'convenient for approach', Factor4 'marketing strategy', Factor5 'food quality', Factor6 ’menu and price‘ Canonical correlation analysis showed two significant functions. Canonical function1 showed that food-related lifestyles of taste seeking type and safety seeking type were indicated to have significant positive relationships with the food qualify, taste and service in the restaurant selection attributes. Canonical function2 also showed that a significant positive relationships between health seeking type and accessibility, and a significant negative relationships between health seeking type and taste & service and between health seeking type and menu & price. Finally the result of the study provide some insight into the types of marketing stratagem that can be effectively used by operator who manage restaurant.

Process capability indices are widely used in industries and quality assurance system. When designing the parameter on the multiple quality characteristics, there has been a study for optimization of problems, but there has been few former study on the possible conflicting phenomena in considertion of the correlations among the characteristics. To solve the issue on the optimal design for muliple quality characteristics, the study propose the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of terms. Therefore, the analysis have to be required a multivariate statistical technique. This paper introduces to multivariate capability indices and then selects a multivariate process capability index incorporated both the process variation and the process deviation from target among these indices under the multivariate normal distribution. We propose a new multivariate capability index MCpm using quality loss function instead of the process variation and this index is compared with the proposed indices when quality characteristics are independent and dependent of each other,

This paper proposed a new method to evaluate service quality attribute of perceived service quality in public sectors, using triangle fuzzy numbers and hamming distance Our method measured the ratio of the expected and perceived service for the customers'