• Culinary science and hospitality research
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• v.13 no.3
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• pp.33-43
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• 2007

The purpose of this study was to measure the importance of attributes: area, food quality, food type, price, service quality, which influence tourist preference of foodservice. It also identifies foodservice attributes' level combinations which confer the highest utility to tourists. Conjoint model was used for this study. The findings from this study were as follows. First, it was found that all tourists regarded food type and price as very important factors. Second, it was found that the foodservices with different attribute levels were preferred across cluster. Third, it was found that the most preferred foodservice was significantly different by cluster. Finally, the implications of the study and proposal of future study were outlined.

• Industrial Engineering and Management Systems
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• v.1 no.1
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• pp.58-63
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• 2002

Recently a new multi-attribute analysis method is one of the evident areas of important points in the decision support system analysis. The area of decision support system may be broken into three primary area: idea generation, multi-attribute structured analysis method, and the integration of the results of analysis. This research developed an internet/intranet-based solution builder for a three-step decision support system in the view of 1) brainstorming for the idea generation, 2) analytic hierarchy process as a multi-attribute structured analysis method and 3) aggregating logic model to integrate the results of individual analysis. A computer program is developed and demonstrated in internet/intranet-based decision problem. This solution builder provides decision makers a good tool for remote group decision making.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2115-2127
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• 2021

Although significant progress has been made in synthesizing visually realistic face images by Generative Adversarial Networks (GANs), there still lacks effective approaches to provide fine-grained control over the generation process for semantic facial attribute editing. In this work, we propose a novel cross channel self-attention based generative adversarial network (CCA-GAN), which weights the importance of multiple channels of features and archives pixel-level feature alignment and conversion, to reduce the impact on irrelevant attributes while editing the target attributes. Evaluation results show that CCA-GAN outperforms state-of-the-art models on the CelebA dataset, reducing Fréchet Inception Distance (FID) and Kernel Inception Distance (KID) by 15~28% and 25~100%, respectively. Furthermore, visualization of generated samples confirms the effect of disentanglement of the proposed model.

• Asia Marketing Journal
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• v.19 no.1
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• pp.1-17
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• 2017

Cause-related Marketing (CrM) has become an increasingly popular marketing approach over the past two decades. However, neither researchers nor organizations fully understand the determinants of a successful CrM partnership. This research fills this gap. Specifically, we employ the schema theory to explore circumstances in which the CrM alliance cannot achieve a success. We use a theoretical modeling approach to report that, when consumers' typicality-based cognitive process is assumed, the CrM activity with the partners' more-discrepant attribute profile cannot be evaluated favorably, but the attribute-level uncertainty about the CrM alliance is less likely to feedback to the two partners. Furthermore, we argue that, under the schema-plus-tag model, consumers may not like the CrM program with a similar attribute profile. Therefore, this CrM approach may fail. To our knowledge, we are the first to apply the schema theory to explain how a CrM alliance can achieve a success.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.9
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• Journal of Soil and Groundwater Environment
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• v.15 no.6
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• pp.122-127
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• 2010

Constructing the national inventory that can be used as a tool to identify and assess existing or potential contamination is necessary for efficiently managing the soil and groundwater contamination. In order to start this construction, the first step is how we define and classify potential contamination sources of soil and groundwater. After selecting the basic classification model of contamination sources from developed countries, we suggested the classification and list of the potential contamination sources of soil and groundwater which are appropriate for specific conditions of South Korea. In addition, we investigated several databases to confirm the existence of available data sources and then examined established attribute data through chemical accident response information system (CARIS) and water information system (WIS) in National Institute of Environmental Research and mine geographic information system (MGIS) in Mine Reclamation Corporation. All sorts of attribute data in the existing databases can be utilized as significant assessment factors for determining the management priority of potential contamination sources in the future. Therefore, it is required the expanded investigation of additional database sources and the continual modification so that the classification system of potential contamination sources can be improved.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.8
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• pp.1396-1405
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• 1997

This study investigated country-of-origin effects by comparatively analyzing consumer attitude toward country-of-origin of imported apparel according to apparel product attributes. Fishbein attitude model was used. The effects of consumer characteristics such as attitude of consumers toward general imported apparel and demorgraphic variables on consumer attitude toward country-of-origin were also identified. Italy, U.S.A, Japan, Hong Kong, Korea were used as country of origin. Data were obtained from male and female subjects(total 570) aged mostly 20's. Statistical analysis showed: 1) Apparel product attributes were classified into 3 factors, expressive, instrumental and brand, which are the order of importance for purchasing. 2) Consumer indicated more favorable attitude toward 'made in 'Italy' nd made in 'Korea' in each attribute factor. 'Made in Korea' roducts were evaluated highest in expressive attribute factor but less favored than 'made in Italy' n brand attribute factor. 'Made in U.S.A and made in Japan' were evaluated favorable in instrumental factor, whereas 'made in Hong Kong' had the least favorable attitude in every attribute factor. 3) The uniqueness and good quality of imported apparel appeared to be the most strong variable in predicting consumer attitude toward each country-of-origin. 4) The attitude toward country of origin was different according to sex and age.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.5 s.153
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• pp.818-828
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• 2006

The purpose of this study was to clarify differences in the product attribute evaluation in relation to the objective knowledge, subjective knowledge and involvement of apparel. The measurement instruments were developed by researcher on the basis of previous studies in the same field. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and quota sampling using age and residential areas was employed. The data were obtained from 603 questionnaires. Data were statistically analyzed using SPSS 10 and LISREL 7.0. Major statistical methods were factor analysis, Cronbach's a coefficient, multiple regression analysis, and structural equation model analysis. The results were as follows: 1. Involvement was related to the consumer knowledge and the knowledge influenced evaluation of intrinsic attributes, social attributes, and economic attributes. 2. The dimensions of objective knowledge significantly influenced intrinsic attributes and economic attributes. The dimensions of subjective knowledge significantly influenced intrinsic attributes, social attributes and economic attributes. 3. Apparel involvement significantly influenced intrinsic attributes, social attributes and economic attributes. Consumers who have higher interest in apparel product but not in trends considered intrinsic attributes more importantly, whereas consumers who care trends considered social attribute more.

• Journal of Distribution Science
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• v.15 no.6
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• pp.5-12
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• 2017

Purpose - This study is to investigate the effects of consumption values of retailers on the importance of store attributes, and to determine the influence on the consumption values of consumers who shop at complex shopping malls on the empirical and functional attributes in those malls as well as on the influence of on/off-line channels. Research design, data, and methodology - With 344 surveyed questionnaires, this study was conducted by using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation model (SEM) was employed as a statistical method for the hypotheses test of this study. Results - The results showed that hedonic value has more influence on the importance of empirical attribute than that of functional attribute in shopping malls. In addition, practical value has more influence on functional attributes than empirical properties of shopping malls. However, these relationships showed the difference in on/off-line channels. As for off-line channels, consumers' consumption values were more influential on empirical attributes, while functional attributes were more important in on-line channels Conclusions - This study analyzed the influence on the importance of the consumption values in store attributes, and the effects of each channel with suggesting practical implications.

• Smart Media Journal
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• v.5 no.2
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• pp.84-89
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• 2016

For a place-recommendation model based on user's behavior and multi-attribute attitude in this thesis. We focus groups that show similar patterns of visiting restaurants and then compare one and the other. We make use of The Fishbein Equation, Pearson's Correlation Coefficient to calculate multi-attribute attitude scores. Furthermore, We also make use of Preference Prediction Algorithm and Distance based method named "Euclidean Distance" to provide accurate results. We can demonstrate how excellent this system is through several experiments carried out with actual data.