The purpose of this study was to investigate the effects of lifestyle factors on clothing purchase motives, information use, and selection criteria in male college students. The sample included 241 male college students, and an instrument was developed based on the previous studies. The statistical analyses used for this study were factor analysis and multiple regression. The result of factor analysis showed that lifestyle consisted of six factors : clothing interest, serif-confidence, social participation, planned clothing purchase, family-orientation, and conservativeness. Clothing purchase motives consisted of conspicuous consumption motives, fashion and individuality motives, and economic motives. Clothing information use consisted of four factors: paper/display, personal advice, fashion show/clothing observation, and electronic media. Finally. clothing selection criteria consisted of practicability, fashion/individuality, and conformity, Multip1e regression revealed that there were significant effects of lifestyle factors on clothing purchase motives, information use, and selection criteria. For example, self-confidence factor had a negative impact on conspicuous consumption motive, personal advice information use, and fashion/individuality criteria. The relative importance of lifestyle factors were different according to different dimensions of clothing purchase motives, information use, and selection criteria.
The purposes of this study were to identify the most explainable socioeconomic variables influencing clothing selection criteria, and to explore the difference in the clothing seletion criteria among the groups with status inconsistencies. A questionnaire was developed to collect data for clothing selection criteria, and socioeconomic status. Socioeconomic status was measured by education and occupation of husband and wife, and family income. Status inconsistency was defined by the inconsistencies among education, income and occupation. Data were obtained from 369 housewives living in Seoul area. The results of this study were as follows: 1) The education of housewives was the most important variable influencing clothing selection criteria. 2) When the subjects were divided into three groups according to their status inconsistency group, there were partially significant differneces among groups in clothing selection criteria. The "overprivileged" status group attached more importance to the fashionability and psychological dependence than the other status group. The "underprivileged" status group attached more importance to the practicality and ecnomy than the other status group. And when the subject were divided into three groups according to their social mobility, there were sgnificant differences among groups in clothing selection criteria.
The purpose of this study was to make a selection criteria for Home Economics textbooks in the middle school. For this purpose, first, the criteria were out by collecting, analyzing and synthesizing the literature. Second, questionnaire survey of the 6 selection criteria was performed. Questionnaire sent to Home Economics teachers of 401 middle school selected by systematic random sapling, 233 questionnaire were received and 220 questionnaire were analyzed for this study. As a statistical tool, SPSSWIN was used to analyze frequency, mean, standard deviation, and factor analysis. The research findings were as follows ; 1. Now for kinds of Home Economics textbooks are mainly used. At that time when textbooks were selected, these selections were made upon deliberation with the teachers in charge and in future this method will be desirable. Most home economics teachers realize that the selection criteria is needed to improve the objectivity of textbook selection. 2. As a result of making factor analysis, the selection criteria were revised that 52 items in 7 categories were chosen as textbook criteria plan. They consist of 5 items related to the outward form of textbook, 5 items related to the learning materials in textbook, 10 items related to the composition of textbook units, 11 items related to the guiding contents of textbook, 7 items related to the subject of experiment.practice, 9 items related to the composition of picture, photograph and diagram. and 7 items related to the use of instructional-learning method.
A apparel retail buyer played an important role in the market by providing apparel products for consumers and acting as an specialist who selected the vendor and decided the apparel product assortment. The purpose of this study was to investigate the relationships among the vendor selection criteria and information sources used by retailers and the satisfaction with store performance. A questionnaire was developed based on the previous studies and pretest. Data were collected from 237 retailers for women's apparel living in Pusan. Results indicated that they didn't significantly relate among the vendor selection criteria, information sources and the satisfaction with store performance except the harmony of buying products and existing products. Only the age and the buying experience showed significance in relation to demographics of apparel retailers among the vendor selection criteria, information sources and the satisfaction with store performance. The information source affected the vendor selection criteria was the street fashion, the apparel of entertainers, the other apparel buyer, and the owner of production. The findings had implications for retailers as well as for researchers.
A strategic decision making on location selection for product transportation includes many tangible and untangible factors. To choose the best locations is a difficult job in the sense that objectives usually conflict with each other. In this paper, we consider a multi stage multi criteria transshipment problem with different types of items to be transported from the sources to the destination points. For the optimization of the problem, a goal programming formulation will be presented in which the location selection for each product type will be determined under the multi objective criteria. In the study, we generalize the transshipment model with a variety of product types and finite number of different intermediate nodes between origins and destinations. For the selection of the criteria we selected the costs(fixed cost and transportation cost), location numbers, and unsatisfied demand for each type of products in multi stage transportation, which are the main goals in transshipment modelling problems. The related conditions are also modelled through linear formats.
The purposes of the study were to investigate the differences of female students' clothing selection criteria and their life styles according to their demographic data and to examine the differences of their clothing selection criteria according to their life styles. The data were collected from 400 female college students in Chungju city through self-administerd questionnaires, and were analyzed by frequencies, Cronbach' s α, Ftest, Factor Analysis, Cluster Analysis, one way ANOVA and Duncan Test. The results of the study were as follows: There were significant differences between variables of clothing selection criteria according to student's major, father's education level, family's monthly income, student's monthly expenditure on clothing and her companion when purchasing her clothing. Life styles were classified five types. The dimensions of life style were significantly different according to student's major and monthly expenditure on clothing. There were significantly different between life style dimensions and clothing selection criteria.
This study analyzed the difference of selection criteria when buying socks and wearing satisfaction related to socks according to demographic characteristics and fashion interest degree for the adults in their from 20s to 40s. Factor analysis, t-test, ANOVA, and Duncan multiple range test were used for data analysis. The result of factor analysis for selection criteria when buying socks showed that the drawn factors were design and coordination, hygiene and wearing comfort and practicality. The difference analysis results about selection criteria when buying socks showed that design and coordination, hygiene and wearing comfort, and practicality were significantly different according to gender, age, and occupation, and that design and coordination and practicality were significantly different according to marital status. The result of difference analysis for selection criteria when buying socks according to fashion interest degree showed that design, coordination, hygiene, wearing comfort and practicality were significantly different. The result of factor analysis for wearing satisfaction of socks showed that the drawn factors were wearing comfort, hygiene, durability, and design. The difference analysis results about wearing satisfaction of socks showed that design was significantly different according to gender and marital status, wearing comfort and design significantly different according to age, wearing comfort, hygiene, and design were significantly different according to occupation. According to fashion interest degree, wearing comfort and design showed the significant difference.
The purpose of this study was to investigate the effects of internet shopping interest, fashion interest, sex on internet clothing purchase intention and selection criteria. The subjects used for the study were 76 male and l25 female college students. The clothing purchase intention was measured by five categories: formal wear, casual wear, sports wear, under wear, and fashion accessories. The clothing selection criteria consisted of four factors: aesthetics, conformity, individuality, and comfort. The results showed that there was a main effect of internet shopping interest on internet purchase intention fur all clothing categories. Also, there were differences between men and women concerning the purchase intention of casual wear and sports wear. In regard to clothing selection criteria, the results showed that fashion interest and sur had an impact on three factors of clothing selection criteria. The subjects considered aesthetics, conformity, and individuality important when they had higher fashion interest or were female. In addition to main effects, the interaction effects among internet shopping interest fashion interest, and sex were discussed.
The study is intended to suggest the differentiated and subdivided indexes of the leisure fashion market and to provide the marketing strategy establishment and in-depth understanding of leisure fashion business by looking into the correlation between and among fashion involvement, clothing selection criteria and fashion information sources. This study was conducted by the questionnaire response method and the results were derived by using the SPSS 16.0 statistics program. The results of the study were as follows; 1) As a result of researching the difference between the leisure activities consumer groups and fashion involvement, there were significant differences in emotional and cognitive involvement. In the tour activity group and social activity group, emotional involvement was found to be higher than the cognitive experience while in the hobby and sports activity group, both involvements were equally as high. 2) As a result of researching the difference between the leisure activities groups and clothing selection criteria, it was found that the intrinsic and extrinsic criteria were high in the hobby and sports activity group and that the intrinsic criteria was high in the tour activity group and social activity group. 3) In the difference between the leisure activity groups and fashion information sources, it was found that media source, observation source and experience/personal source were high in the hobby and sports activity group. In addition, the experience and personal source were high in the social activity group. 4) In the difference between and among fashion involvement, clothing selection criteria and fashion information sources, it was found that the emotional involvement, intrinsic criteria and observation source were higher in the group of females than males. 5) In the difference between and among fashion involvement, clothing selection criteria and fashion information sources depending on the ages of leisure activities consumers, it was found that the emotional involvement and observation source were high in the group of 20-24 yrs old consumers and that the emotional involvement, intrinsic criteria and observation source were high in the group of 25-29 yrs old consumers. Also, in the group of 30-34 yrs old consumers, the emotional involvement, observation source and experience/personal source were high.
Corporations are pursuing maximum returns from their R&D investment. They are also interested in sound measures to quantify returns. In fact, they use various measures and criteria for measuring returns from the R&D investment. But the fundamental problem is that there is no generic and widely acceptable measures and criteria. To make things more complicated, measures are very powerful and influential to the people in the corporations. Herbert Simon already indicated that people do many things but people usually do their best for the only tasks which are measured. Many researchers, like Chester(1995), are interested in R&D productivity measures and risks because what the company measures really influence R&D people and output. This article present design concepts of the R&D project selection and evaluation system in POSCO(Pohang Iron & Steel Company). This is an output extract from the 6-month joint activities with POSRI(POSCO Research Institute) researchers and POSCO R&D personnel. Process changes, new organizations and new selection and evaluation criteria are developed to improve R&D performance and to enhance technology management of the POSCO. This article covers new selection and evaluation criteria only. We would like to share our experience about how we redesign the selection and evaluation of R&D projects. We also bring insights how we seamlessly integrate 4 different project selection and evaluation steps as a whole. We hope that this case will give you a clue to improve your R&D management.
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