Journal of the Korean Society of Clothing and Textiles
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v.12
no.2
s.27
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pp.249-257
/
1988
The purposes of the study were to define the clothing evaluative criteria concept as an internal evaluative criteria and buying evaluative criteria based on the Engel-Kollot-Blackwell's consumer behavior model, and to explore the differences between internal evaluative criteria and buying evaluative criteria imprically. The study also aimed to find out the differences between internal evaluative criteria and buying evaluative criteria according to clothing items(underwears, pajama, jeans, blouse, two-pieces, coat) The questionnaires were administered to college female students living in Seoul. Means and Standard Deviations were calculated, and Discriminant Analysis were used for statistical inferences. The results were as follows: In underwears, internal evaluative criteria were comfort and fiber, while toying evaluative criteria was color. In pajama, internal evaluative criteria was comfort and fiber, while buying evaluative criteria was good buy. In jean, internal evaluative criteria was fit and suitability to individual, while buying evaluative criteria was suitability to individual and price. In blouse, internal evaluative criteria was beauty and harmony with other clothing. In two-pieces, internal evaluative criteria was color and beauty, while buying evaluative criteria was suitability to individual. In coat, internal evaluative criteria was textile and color. In conclusion, as shown in the results above, the evident differences between internal evaluative criteria and buying evaluative criteria and buying evaluative criteria were testified, therefore evaluative criteria should he defined as internal evaluative criteria and buying evaluative criteria, and study of evaluative criteria should be explored according to clothing items.
Purpose - Product purpose for optimal values solution for synthesize evaluative criteria and optimize product design values. In addition, product designer has to consider the product design to conform to project, laws and regulations, authentication, from the product design stage. Research design, data, methodology - How to use an evaluative criteria model's imprecise market data by evaluative criteria research design; product mapping relationships between design parameters and customer requirements using product predicted value method. An evaluative criteria model and their associated criteria status, product evaluative criteria model of results. Results - Therefore, after the enterprise product design project analysis, effectiveness and the customer degree of satisfaction must be appraised to obtain the maximum value for the benefit on behalf of the implementation goals, the promotion product level and market competition strength. Conclusions - In multi criterion decision making (MCDM), using its searching software capacity to obtain the optimal solution.
Journal of the Korean Society of Clothing and Textiles
/
v.20
no.6
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pp.1027-1038
/
1996
The decision making procedure of consumer's post purchase is important because post purchase evaluation function is the physiological variables in repurchasing. The previous studies of post-purchase decision making showed that consumer compared the expectation of pre-buying with the performance of the product of post-buying. After consumers evaluates the products, consumer is satisfactory or dissatisfactory with products. And the satisfaction effects repurchase intention. The criteria which consumer didn't consider can be important to consumer after buying. Therefore the research problems are as follows; 1. To reveal the consumer's post-purchase clothing evaluative criterita and to indentify the dimensions of post-purchase clothing evaluative criteria. 2, To examine a causal model of the repurchase intention by post- purchase clothing evaluative criteria, satisfaction and brand attitude, A questionnaire was developed and administered 530 women living in Taejeon, and social daytime wear was selected as a clothing item for the study. Consumer's post-purchase clothing evaluative criteria were composed of six dimensions; Fit, Utility, Management, Transformation, Wearing/sewing, Esthetic factor. The main causal model of repurchase intention is that post-purchase clothing evaluative criteria - satisfaction - brand altitude - repurchase intention. Finally we found that the post-purchase clothing evaluative criteria were important because the repurchase intention depended on post-purchase clothing evaluation, too.
This paper proposes an extended model evaluation method that considers not only the model performance but also the model structure and parameter uncertainties in hydrologic modeling. A simple reservoir model (SFM) and distributed kinematic wave models (KWMSS1 and KWMSS2 using topography from 250-m, 500-m, and 1-km digital elevation models) were developed and assessed by three evaluative criteria for model performance, model structural stability, and parameter identifiability. All the models provided acceptable performance in terms of a global response, but the simpler SFM and KWMSS1 could not accurately represent the local behaviors of hydrographs. Moreover, SFM and KWMSS1 were structurally unstable; their performance was sensitive to the applied objective functions. On the other hand, the most sophisticated model, KWMSS2, performed well, satisfying both global and local behaviors. KMSS2 also showed good structural stability, reproducing hydrographs regardless of the applied objective functions; however, superior parameter identifiability was not guaranteed. A number of parameter sets could result in indistinguishable hydrographs. This result indicates that while making hydrologic models complex increases its performance accuracy and reduces its structural uncertainty, the model is likely to suffer from parameter uncertainty.
Journal of The Korean Association For Science Education
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v.34
no.2
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pp.135-146
/
2014
The purpose of this study is to explore evaluation criteria that pre-service elementary teachers employ as they evaluate and select models to explain electric circuits. Thirty junior students in a university of education have participated in the study as a part of the science education course in which they were enrolled. The lessons for the participants have been organized as a cyclic sequence of different modeling pedagogies including the expressive, experimental, and evaluative modeling. The pre-service teachers have been given five electric circuits in order and asked to create models and further develop them through peer discussion. Their modeling activities have been video- or audio-recorded, and the recordings and their transcripts have been analyzed using a framework of model evaluation criteria. It reveals that the types and frequencies of evaluation criteria used are different between situations of model development and model selection. While empirical and theoretical criteria have been used dominantly in both situations, more various criteria have been employed in the situation where the pre-service teachers selected one model among alternatives. Implications for science education and science education research have been suggested.
The purpose of this study was to assess the effects of self-image congruence on attitudes toward purchase intentions of children's clothing via the Behavioral Intention Model. The empirical study was conducted via on-line survey and data were collected from mothers with children aged 6 to 10 years. A total of 593 respondents answered the questionnaire and 574 usable data were statistically analyzed. SPSS 18.0 was used to conduct descriptive statistical analysis, factor analysis, reliability analysis, cluster analysis, Chi-square test, ANOVA, and multiple regressions. A K-means cluster analysis was conducted based on three dimensions brand images of children's wear. Respondents were divided into four groups: elegant image group, multiple image group, ordinary image group, and childlike image group. Characteristics of consumers and clothing evaluative criteria that mothers considered important differed significantly across groups. Moreover, based on these groups, each dimension of self-congruence had different effects on brand attitude. Brand attitude and subjective norms had different effects on purchase intentions. In conclusion, levels of self-congruence and factors influencing purchase intention varied according to brand images of children's wear.
This study has intended to develop an evaluation model to select suitable locations of recreation forests in accordance with their types, and to apply the models to the feasibility study of selecting suitable recreation forest locations of candidate sites. To reach this goal, this study employed a Delphi expert survey method and Analytic Hierarchy Process (AHP) for the whole process of model building. And the followings are what this study has found during model building and application process. First, the assessment criteria for classifying recreation forests and selecting suitable locations were initially identified through justification process with two rounds of expert review, after broken down into 2 categories, and then further divided into 6 items and 12 indicators accompanying with hierarchical structure. Second, in the third phase of Delphi expert survey, the relative weights of the assessment criteria were derived by employing AHP. Through overlaying two evaluation categories including resource and usability, 4 types of recreation forest were presented. In the forth phase of the Delphi survey, this study has developed an evaluation model to select suitable locations of recreation forests in accordance with their types using relative weights of the selected indicators through. This study has applied the models to the feasibility study of selecting suitable recreation forest locations of candidate sites, and found that the usability of recreation forest was severely affected by the distance from the capital region, that the closer the locations of natural recreation forests from the capital region, the more advantageous. The developed model can be used to designate recreation forests in accordance with their types.
Journal of the Korean Society of Clothing and Textiles
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v.26
no.8
/
pp.1128-1140
/
2002
As consumers' alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type are important to retailers and marketers for building a successful merchandising and marketing strategies. Most of the previous researches in store selection and patronage assume consumer behavior as single store patronage, and thus relatively little is known about patronage mix behavior. Also, little attention has been given to product characteristics as an important variable in store patronage behavior. The purposes of this study were to determine the effects of product characteristics in consumers patronage mix behavior. In this study, a theoretical model including product characteristics as an intervening variable between store attributes and patronage behavior was developed. A Questionnaire was developed and data were collected form 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVA, Duncan test and discriminant analysis were employed to analyze the data. As a result, the suggested model was partially verified. First, the product characteristic was found to have an effect on perceived importance of store attributes and on determinant attributes of stores. Consumers were found to use different evaluative criteria for store attributes when they purchase different product types. Second, the perceived importance of store attributes was determined by consumer characteristics as well as product characteristics. Third, the determinant attributes in store selection were affected not only by the perceived importance of store attributes but also by the type of product to be purchased.
In recent years, an increase in deaths and injuries of port cargo handling workers, has raised the need for more effective accident management. The purpose of this study was to evaluate the accident risk for port cargo handling workers and assess ports with high accident risk within the Korean alternative ports using the Entropy & GRA (Grey Relational Analysis). To achieve this purpose, first, 11 Korean ports were selected and the evaluative factors for their outranking evaluation by brainstorming were extracted. Second, the Grey Relational Coefficient of 11 alternative ports was calculated using the GRA. This paper, finally, determined the priority orders of accident risk through calculation of the Grey Relational Grade as the link Grey Relational Coefficient method and the weights of the evaluative factors were calculated by using the Entropy method. In the proposed model, eight criteria such as cargo worker, old cargo worker, work hours, facilities environment, steel cargo volumes, cargo volumes, injury numbers, and death numbers were collected. Busan port was identified as highest accident risk port, and so it should be a top priority to develop a plan to mitigate the risk.
A traffic accident analysis method was developed and tested based on the highway alignment risk indices using geographic information systems(GIS). Impacts of the highway alignment on traffic accidents have been identified by examining accidents occurred on different alignment conditions and by investigating traffic accident risk indices(TARI). Evaluative criteria are suggested using geometric design elements as an independent variable. Traffic accident rates were forecasted more realistically and objectively by considering the interaction between highway alignment factors and the design consistency. And traffic accident risk indices and risk ratings were suggested based on model estimation results and accident data. Finally, forecasting traffic accident rates, evaluating the level of risk and then visualizing information graphically were combined into one system called risk assessment system by means of GIS. This risk assessment system is expected to play a major role in designing four-lane highways and developing remedies for highway sections susceptible to traffic accidents.
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