• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1086-1097
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• 2009

Consumers have more choices for apparel products as e-shopping grows. This study examines the importance of apparel product attributes and classifies online apparel buyers into groups based on product attribute evaluation in various choice sets. For the empirical research, the online survey was conducted and Latent Gold Choice 4.0 was used for the choice-based conjoint analysis. Five consumer segments are found based on the choice selection of product attributes. The importance of product attributes (online shopping mall, brand, price, and style) and the preference of each product attribute level were different across segments. This research improves the knowledge of the purchasing behavior of online apparel buyers and provides proper attribute combinations of apparel e-shopping for each consumer segment.

• Journal of Information Technology Applications and Management
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• v.9 no.1
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• pp.27-44
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• 2002

Performance evaluations of database algorithms are usually conducted on a set of queries for a given test database. For more detailed evaluation results, it is often necessary to use different query workloads several times. Each query workload should reflect the querying patterns of the application domain in real world, which are non-uniform in the usage frequencies of attributes in queries of the workload for a given database. It is not trivial to generate many different query workloads manually, while considering non-uniform distributions of attributes'usage frequencies. In this paper we propose a technique to generate non-uniform distributions, which will help construct query workloads more efficiently. The proposed algorithm generates a query-attribute usage distribution based on given constraints on usage frequencies of attributes and qreries. The algorithm first allocates as many attributes to queries as Possible. Then it corrects the distribution by considering attributes and queries which are not within the given frequency constraints. We have implemented and tested the performance of the proposed algorithm, and found that the algorithm works well for various input constraints. The result of this work could be extended to help automatically generate SQL queries for various database performance benchmarking.

• The Research Journal of the Costume Culture
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• v.28 no.5
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• pp.705-718
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• 2020

The goal of this study was to develop a haptic communication system that can convey the tactile sensation of fashion materials in a virtual environment. In addition, the effectiveness and how realistically the virtual fabric image of this system delivers the tactile sensation of actual fabric was verified. First, a literature review was conducted through which the tactile attributes of fashion materials were defined that would be implemented in the haptic communication system. Then, a questionnaire for evaluating the tactile attributes of fashion materials was developed. Next, a haptic communication system was designed to convey fashion image experiences in a virtual environment, from which a haptic rendering model was suggested. The effectiveness of the haptic communication system was evaluated by verifying user experiences with questions developed through a user evaluation experiment. The validity of the evaluation questions pertaining to the tactile attributes and the effects of the haptic communication system were verified. Factor analysis was conducted to verify the evaluation of the tactile sense attributes of the fashion material, which identified density, thickness, and elasticity of the material as key factors. As a result of comparisons between the tactile sense through haptic characteristics and through touching, it was observed that regarding density and thickness, tactile sense experience led to greater perceived reality, while this was not the case for elasticity.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.2
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• pp.295-310
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• 2023

The current virtual fashion influencers are a hyper-real prototype in that it has a higher presence than the virtual humans in the past. Also, they are leading fashion trend with more than tens of thousands of followers on social media. This study investigated the physical and social presence of virtual fashion influencer perceived by consumer and verified effects on evaluation attributes of influencers and the relationship maintenance behavior. A total of 321 Korean women in their 20s and 30s who have Instagram account participated in the online survey. The data was analyzed using AMOS 23.0. The results revealed that the physical presence had a significant impact on attractiveness of virtual fashion influencers. In case of social presence had a positive effect on friendliness and reliability of virtual fashion influencers. In addition, evaluation attributes of virtual fashion influencers' friendliness, attractiveness and reliability in the order of influence on relationship maintenance behavior. This study suggested that the development of social presence of virtual fashion influencers with friendliness and attractiveness is more important than the physical presence that has already reached a high level.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.12
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• pp.549-560
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• 2015

There is a wide variety of data quality attributes such as the ones proposed by the ISO/IEC organization and also by many other domestic and international institutions. However, it takes considerable time and costs to apply those criteria and guidelines to real environment. Therefore, it needs to define data quality evaluation attributes which are easily applicable and are not influenced by organizational environment limitations. The purpose of this paper is to derive data quality attributes and order of their priorities based on customer requirements for managing the process systematically and evaluating the data quantitatively. This study identifies the customer cognitive constructs of data quality attributes using the RGT(Repertory Grid Technique) based on a Korean quality standard model (DQC-M). Also the correlation analysis on the identified constructs is conducted, and the evaluation attributes is prioritized and ranked using the AHP. As the results of this paper, the consistent system, the accurate data, the efficient environment, the flexible management, and the continuous improvement are derived at the first level of the data quality evaluation attributes. Also, Control Compliance(13%), Regulatory Compliance(10%), Requirement Completeness(9.6%), Accuracy(8.4%), and Traceability(6.8%) are ranked on the top 5 of the 19 attributes in the second level.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.347-354
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• 1999

The credit rating represents an assessment of the relative level of risk associated with the timely payments required by the debt obligation. In this paper, we present a new approach to credit rating of customers based on the rough set theory. The concept of a rough set appeared to be an effective tool for the analysis of customer information systems representing knowledge gained by experience. The customer information system describes a set of customers by a set of multi-valued attributes, called condition attributes. The customers are classified into groups of risk subject to an expert's opinion, called decision attribute. A natural problem of knowledge analysis consists then in discovering relationships, in terms of decision rules, between description of customers by condition attributes and particular decisions. The rough set approach enables one to discover minimal subsets of condition attributes ensuring an acceptable quality of classification of the customers analyzed and to derive decision rules from the customer information system which can be used to support decisions about rating new customers. Using the rough set approach one analyses only facts hidden in data, it does not need any additional information about data and does not correct inconsistencies manifested in data; instead, rules produced are categorized into certain and possible. A real problem of the evaluation of the evaluation of credit rating by a department store is studied using the rough set approach.

• Journal of Distribution Science
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• v.13 no.7
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• pp.19-24
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• 2015

Purpose - This study attempts to identify the attributes of home meal replacements (HMR) from the perspective of consumers as well as suggest some directions for HMR. Research Design, Data, and Methodology - For the research, food and nutrition professors were interviewed and surveys were completed using the revised Delphi method to identify attributes of HMR. Subsequently, a total of 140 food and nutrition students already aware of HMR were asked to rate the attributes in terms of importance and satisfaction. In addition, Importance-Performance Analysis (IPA) was conducted. Results - According to the analysis results, a total of seven key factors were deduced from the attributes ratings and the Kaiser-Meyer-Olkin (KMO) criteria, which is used to verify the appropriateness of the selection of the variables. Conclusion - The findings could be helpful in the future as reference data for HMR producers and distributors to assist in the diagnosis of the status of HMR. Additionally, the data may point to some areas that need greater attention in terms of production as well as marketing.

• Journal of the Korean Society of Food Culture
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• v.16 no.1
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• pp.58-64
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• 2001

This study was carried out to develop character notes and to define the terminology for the evaluation of soybean curd using quantitative descriptive analysis. Panelists were selected according to their performance with ranking on basic tastes, flavor and texture properties related to soybean curd. After being trained, they identified the following attributes and defined the terminology: appearance(smoothness of the surface, amount of cracks, yellowness, grayness), flavor(sweet, salt and bitter tastes, cooked bean, raw bean, wet wheat flour, roasted bean, astringency), and textural properties(hardness, elasticity, inner moistness, coarseness, adhesiveness, and residuals). Reference samples for flavor attributes were also determined. Four types of commercial soybean curd were evaluated with the technique developed. Among soybean curd samples, there were significant differences in the intensity of all sensory attributes, confirming appropriateness of the evaluation methodology.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.99-114
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• 2008

The purpose of this study is to examine the relationships between each type of attitudes toward money and the attributes of choosing family restaurants. A self-administrated questionnaire was completed by 387 students, and data were analysed by frequency, factor, reliability and canonical correlation. Seven factors were obtained from factor analysis of attitudes toward money; Factor 1 "power", Factor 2 "obsession", Factor 3 "retention", Factor 4 "achievement", Factor 5 "anxiety", Factor 6 "distrust", and Factor7 "evaluation". The attributes of family restaurant choice were extracted into six factors: Factor 1 "quality of food", Factor 2 "restaurant event", Factor 3 "interior environment", Factor 4 "value of food", Factor 5 "convenience for approach", and Factor 6 "employees' service". Canonical correlation analysis showed three significant functions. Canonical function 1 showed that the attitudes of considering the power of money, its retention and achievement were indicated to have significantly positive relationships with the quality of food in the attributes of choosing family restaurants. Canonical function 2 showed that significantly negative relationships between distrust and restaurant events and convenience for approach. Canonical function 3 also showed that significantly positive relationships between obsession and anxiety and the interior of restaurants and employees' service, and significantly negative relationships between evaluation and the interior of restaurants and employees' service.

• Child Health Nursing Research
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• v.26 no.2
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• pp.222-237
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• 2020

Purpose: The purpose of this study was to analyze the concept of social support of nursing students using a hybrid model and to derive a definition and attributes of social support through theoretical, fieldwork, and final analysis stages. Methods: Twenty-nine studies were analyzed in the theoretical stage. Seventeen in-depth interviews were conducted with nursing students in the fieldwork stage. In the final analysis stage, the concept of social support was defined and the attributes were derived by integrating the theoretical and fieldwork stages. Results: The attributes of social support of nursing students identified in the final analysis consisted of two dimensions and eight attributes. The two dimensions were structural and functional support. The eight attributes were social network, educational, emotional, informational, economic, positive evaluation, self-esteem support, and support by providing a role model provision. The structural dimension included the social network support attribute. The functional dimension included the remaining seven attributes. Educational support and support by providing of a role model provision were newly derived attributes that reflected specific characteristics of nursing students. Conclusion: Based on the results of this study, we suggest that researchers should attempt to develop a scale to measure the social support of nursing students.