• Industrial Engineering and Management Systems
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• 제13권4호
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• pp.442-448
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• 2014

Portfolio optimization in the presence of estimation error can be stabilized by incorporating norm-constraints; this result was shown by DeMiguel et al. (A generalized approach to portfolio optimization: improving performance by constraining portfolio norms, Management Science, 5, 798-812, 2009), who reported empirical performance better than numerous competing approaches. We extend the idea of norm-constraints by introducing a powerful enhancement, grouped selection for portfolio optimization. Here, instead of merely penalizing norms of the assets being selected, we penalize groups, where within a group assets are treated alike, but across groups, the penalization may differ. The idea of groupwise selection is grounded in statistics, but to our knowledge, it is novel in the context of portfolio optimization. Novelty aside, the real benefits of groupwise selection are substantiated by experiments; our results show that groupwise asset selection leads to strategies with lower variance, higher Sharpe ratios, and even higher expected returns than the ordinary norm-constrained formulations.

• 한국정보시스템학회지:정보시스템연구
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• 제17권2호
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• pp.137-154
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• 2008

Customer Relationship Management (CRM) is indispensable for companies in recent business environment, in which the customers are recognized as more valuable asset to increase the earning power of enterprise. For gaining competitive advantage, most companies want to maintain existing customer relationships and generate more profits with customers through long-term relationships. In this study, we developed the models which are designed to select CRM systems in financial institution, which is one of competitive sectors and undergoes rapid changes due to M&A(Merger and acquisition), innovation and reengineering in Korea. The selection model of CRM systems for financial institution was developed utilizing the Analytic Hierarchy Process (AHP) and the expert's knowledge were built up of three groups; researcher group, developer group, and user group. We found that there are significant deferences for the weights of criteria in our selection model according to the kind of experts. This study provides helpful guidance on how to assign appropriate weights to each criteria in selection models when financial institution introduce the CRM systems.

• International Journal of Costume and Fashion
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• 제4권
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• pp.47-61
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• 2004

This study analyzed the buying patterns of American and Korean female college students in terms of criteria for clothing selection； store preferences； criteria for store selection； fashion information sources； expressions of customer dissatisfaction； purchasing frequency and motivations for purchasing clothes. The study was implemented through self-administered questionnaires which were back translated for validity. The samples consisted of 730 female college students majoring in the fields related to clothing and textiles： 310 U.S. and 412 Korean students. Likert scales were used for most measures with 1＝never or very unimportant and 5＝always or very important. Data were analyzed by factor analysis, analysis of covariance, Duncans multiple comparison, and t-test. Results are as follows： 1) Design factor was the most important criteria in clothing selection with no differences between country groups. There were, however, significant differences for psychological exhibition factors, practical and economic factors. 2) Both groups preferred specialty and department stores, with department stores more popular in Korea. 3) Merchandise was the most important store selection criterion and fashion magazines and self-experience were rated as the most important information sources for the both groups. 4) Korean group expressed their dissatisfaction with and observable problem with a product before purchase more often than U.S. group, but the U.S. group was more vocal about color loss or shrinkage after care procedures. 5) Some clear differences between the two countries emerged. Marketers targeting American consumers should pay more attention to practicality and service； to Korean consumers more symbolic meaning of products.

• 한국융합학회논문지
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• 제10권11호
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• pp.149-159
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• 2019

식스시그마는 시장과 고객의 패러다임과 트렌드의 변화에 맞추어 모든 사업의 프로세스와 전략을 개선하는 경영 혁신운동이다. 식스시그마 프로젝트 선정에 관한 기존의 연구는 있으나 불완전한 정보환경 하에서 프로젝트 선정을 위한 연구는 거의 없다. 본 연구의 목적은 불완전한 정보 하에서 올바른 프로젝트 선정을 위해 통합 MCDM 기법을 적용 방법을 제안하는 것이다. 식스시그마 프로젝트 선정을 위해 4단계인 1) 평가기준 간 가중치 결정 2) 팀 멤버 간 전문역량의 상대적 중요도 결정 3) 프로젝트 선호도 척도 산정 4) 최종 프로젝트 우선순위 결정 등을 위해 그룹 Fuzzy AHP, 불완전한 정보환경 하에서의 비퍼지화 TrFN 변환, GRA의 통합기법을 제안하였다. 본 연구에서 제안한 식스시그마 프로젝트 선정단계의 적용방안에 대한 이해를 돕기 위해 수치예가 제시되었다.

• 한국식품조리과학회지
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• 제28권6호
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• pp.721-729
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• 2012

This paper aimed to investigate the influence of consumer lifestyle on consumer selection of bakery cafe attributes. Data were collected through a self-administered questionnaire by 403 random consumers between the ages 20s and 30s in several bakery cafes in Seoul and Gyonggi area. Different methods of statistical analysis had been used such as frequency analysis, factor analysis, k-means clustering analysis, cross tabulation, one way ANOVA and Duncan's multiple range test with SPSS for Window 13.0 package. First, when analyzing the 16 questions of comsumer lifestyles, four factors were extracted: 'dining out-oriented factor', 'achievement-oriented factor', 'brand-oriented factor', and 'health-oriented factor'. Second, the respondents were divided into three groups by k-means cluster analysis: no interest group, dining-out & value oriented group, and health-brand oriented group. Third, consumer's bakery cafe attributes were categorized into five factors including 'food', 'convenience and image', 'store promotion', 'positive dining experience', and 'menu & merchandises'. Finally when analyzing the differences in the selection of bakery cafe attributes according to consumer's lifestyles, it showed a significant differences.

• 한국의류학회지
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• 제34권4호
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• pp.628-641
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• 2010

This study investigates the relevance among the clothing purchase motivations, selection criteria, customer satisfaction of collaborated fashion products, and conspicuous consumption by adults located in the cities of Seoul and Incheon who have experience in collaborated fashion product shopping. The results are as follows: 1. Conspicuous consumption was identified with three factors: symbol of position, pursuit of fashion brand/quality, keeping up appearance. Customers were segmented into two subdivisions of a lowly involved group with conspicuous consumption and a highly involved group with conspicuous consumption. 2. Clothing purchase motivations with collaborated fashion products were identified with two factors of esthetical value and reasonable ostentation. Selection criteria with collaborated fashion products were identified with the two factors of extrinsic attributes and intrinsic attributes. Customer satisfaction was identified with one factor. 3. Highly involved group toward conspicuous consumptionpursued more into esthetics value, reasonable ostentation and considered more into extrinsic attributes through collaborated fashion products than the lowly involved groups. Customer satisfaction of a highly involved group toward conspicuous consumption was higher than the lowly involved group. 4. The symbol of position had a positive relationship and the keeping up appearance had a negative relationship in regards to both the relevance of conspicuous consumption and the clothing purchase motivations, selection criteria, and customer satisfaction of collaborated fashion products.

• 한국의상디자인학회지
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• 제18권1호
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• pp.11-22
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• 2016

The purpose of this study was to analyze the statistical differences and the correlation between eco-friendly attitudes and clothing selection criteria according to gender and age. 150 people in their 20s to 50s were surveyed for this study. The results were as follows. The factors to eco-friendly attitudes were drawn as seven factors. The difference analysis result for eco-friendly attitude according to gender and age showed a significant difference. The results of factor analysis showed that there were four factors in clothing selection criteria. The difference analysis result of clothing selection criteria according to gender showed a significant difference. The analysis results for the effect of eco-friendly attitude on clothing selection criteria showed that the eco-friendly group recognized health and eco-friendly property as more important clothing selection criteria, but the non-eco-friendly group recognized aesthetic as more important one. The result of this study will help product planners in the clothing product development and the market segmentation according to eco-friendly attitude.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.233-233
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• 2022

As the world's population grows and food needs diversify, the demand for horticultural crops for beneficial traits is increasing. In order to meet this demand, it is necessary to develop suitable cultivars and breeding methods accordingly. Breeding methods have changed over time. With the recent development of sequencing technology, the concept of genomic selection (GS) has emerged as large-scale genome information can be used. GS shows good predictive ability even for quantitative traits by using various markers, breaking away from the limitations of Marker Assisted Selection (MAS). Moreover, GS using machine learning (ML) and deep learning (DL) has been studied recently. In this study, we aim to build a system that selects phenotype-related markers using the genomic information of the pepper population and trains a genomic selection model to select individuals from the validation population. We plan to establish an optimal genome wide association analysis model by comparing and analyzing five models. Validation of molecular markers by applying linkage markers discovered through genome wide association analysis to breeding populations. Finally, we plan to establish an optimal genome selection model by comparing and analyzing 12 genome selection models. Then We will use the genome selection model of the learning group in the breeding group to verify the prediction accuracy and discover a prediction model.

• 한국식생활문화학회지
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• 제27권1호
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• pp.49-56
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• 2012

The purpose of this study was to understand the influence of instant noodle's selection attribution on satisfaction and to empirically analyze whether or not grade (elementary schoolchildren, middle school students, high school students) plays a moderating role in the relationship between selection attribution and satisfaction. Further, this study examined the differences in demographic characteristics among two groups of subjects divided by instant noodle's selection attribution. Based on a total of 1021 samples, this study verified a total of 3 hypotheses using the SPSS program. Data were analyzed by frequency analysis, chi-square, t-test, factor analysis, reliability analysis, cluster analysis, discriminant analysis, and hierarchical regression analysis. Results of the study were as follows. There were three different instant noodle's selection attributions among the children and adolescents investigated: internal element, external element, and company reliability. The multiple regression results show that internal element (=.391), external element (=.239), and company reliability (=.063) among customers' selection attributions had significant positive effects on satisfaction. In addition, the effect of selection attribution upon satisfaction was partially moderated according to grade. Further, cluster analysis divided subjects into two groups according to instant noodle's selection attribution: high-selection group vs. low-selection group. The wo groups of subjects classified by instant noodle's selection attribution were also different from each other in demographic characteristics. Limitations and future research directions are also discussed.

• 한국의류학회지
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• 제31권2호
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• pp.225-235
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• 2007

The purpose of this study is to grasp the character of consumers and the situation of domestic kidult fashion market. By grasping the distribution of kidult generation and the factors of product-selection based on products images, this research could be a substantial data to kidult associated company product planning and marketers. Subjects for this study were 213 Daegu women from 20 to 30 yearn of age who have high propensity to kidult. The statistical treatment of material used by SPSS 1.0 program consists of frequency analysis, factor analysis, multiple regression analysis, cluster analysis, and t-test. As a results, the characteristics of kidult consumers are classified as six factors. On image toward of kidult fashion goods, there was a significant difference 20 and 30 aged generation. According to fashion goods group, each group recognized on image of fashion products as follow: Group A is 'fancy', group B is 'childish', group C are 'familiarity', group D was recognized as 'fancy' and was identical to A on adjective expression, but was different A on recognition. All consumer characteristics of fun, character, girlish, nostalgia have a significant relation with the recurrence of products selection factor, and its order was character, girlish, nostalgia, and fun.