• Journal of Fashion Business
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• v.20 no.3
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• pp.54-67
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• 2016

The purpose of this study was to investigate the The effect of fashion consumer's need for uniqueness in their clothing purchase behavior and switching intention. A total of 332 cases were included as the subjects of this study and a survey method was used. The data were analyzed by factor analysis, reliability analysis, t-test and multiple regression analysis using the SPSS 22.0 statistical program. The results were as follows. 1. The 3 dimensions (creative choice, unpopular choice, and avoidance of similarity) were extracted from the consumer's need for uniqueness and consumer divided high uniqueness group, middle uniqueness group, low uniqueness group. 2. The 3 factor (esthetic, functional, practical) were extracted from the clothing selection criteria. The three group had a significant difference in clothing selection and switching intention. Aesthetic factor and practical factor were the highest in high uniqueness group. 3. The need for uniqueness has influence on the aesthetic factor and practical factor. The creative choice factor had positive effect on the aesthetic and practical factor, yet unpopular choice factor had negative effect on the practical factor. The need for uniqueness and aesthetic factor has positive influence on brand switching intentions. 4. There was difference in unpopular choices factor by gender. A monthly average expenditure on fashion products had a significant difference in three kind of need for uniqueness. Results of this study provide a basis understand need for uniqueness and their effect on consumer behavior.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.6
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• pp.370-376
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• 2016

Manufacturing data analysis and its applications are getting a huge popularity in various industries. In spite of the fast advancement in the big data analysis technology, however, the manufacturing quality data monitored from the automated inspection system sometimes is not reliable enough due to the complex patterns of product quality. In this study, thus, we aim to define the level of trusty of an automated quality inspection system and improve the reliability of the quality inspection data. By correlation analysis and feature selection, this paper presents a method of improving the inspection accuracy and efficiency in an SVM-based automatic product quality inspection system using thermal image data in an auto part manufacturing case. The proposed method is implemented in the sealer dispensing process of the automobile manufacturing and verified by the analysis of the optimal feature selection from the quality analysis results.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.347-358
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• 2012

Purpose: Given the mixture components - process variables experimental data, we propose the strategy to find the proper combined model. Methods: Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components - process variables experiments depend on the mixture components - process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. Results: First we choose the reasonable starting models among the class of admissible product models and practical combined models suggested by Lim(2011) based on the model selection criteria and then, search for candidate models which are subset models of the starting model by the sequential variables selection method or all possible regressions procedure. Conclusion: Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. The strategy to find the proper combined model is illustrated with examples in this paper.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.69-77
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• 2014

Because smart televisions (TVs) have various and innovative functions that are different from traditional TVs, consumers are front with a complex decision-making problem when they want to buy a best TV among alternatives made by many TV makers. TV manufactures have developed and announced different types of smart TV models and they need a comparative study for evaluating their characteristics. In this paper, we suggest the Analytic Hierarchy Process(AHP) method for deciding the best smart TVs regarding many selection criteria. The method provides a decision support for consumers who like to purchase a smart TV. We describe criteria affecting the smart TV selection through a literature review and suggest a user testing method in order to derive accurate judgments from consumers. Using the Expert Choice software package, we show a an numerical example how the priority of smart TVs are computed.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.4 s.163
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• pp.615-623
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• 2007

This study aimed to construct an effective decision-making model on selection of cloth stores using AHP technique. The proposed AHP structure consists of three levels. The highest level includes the cloth stores alternative which are department store, specialty store, and a clothes store. The second level consists of the key performance measurements for evaluating the optimal selection of cloth stores, such as location, facilities, product, service, and promotion. The lowest level consists of items which affects the performance measurements in the upper level. The items are convenience location, courteous service, decor/ambience, availability of parking, etc. The data for this research were collected from questionnaires of 132 in Busan. Data were analyzed by frequency and AHP. As the result of this study, 'product' was decided as a most important item in department store, while 'location' was decided as a most important item in specialty store and a clothes store. And 'variety goods' evaluated as that of first priority in the totality evaluation items in department store, but 'convenience location' evaluated as that of first priority in the totality evaluation items specialty store and a clothes store.

• Korean Journal of Clinical Pharmacy
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• v.25 no.4
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• pp.286-295
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• 2015

Objective: This experiment is to study how elderly group and their various lifestyles interact with health functional foods, according to their selection behavior. Different lifestyles will be observed closely, as well as how different health conditions and consumer involvements will affect critical decision making in selecting health functional foods. Method: Theories and discoveries from original advanced research were compared parallel to the new study. Results: First, cluster analysis and exploratory analysis were performed amongst different elder lifestyles. Lifestyle exploratory analysis was used for healthy, unique, leisure, and economical-style elders. Cluster analysis was used for material trend oriented, health oriented, complacent oriented-style elders. Health Functional Foods' selection trait Exploratory Factor Analysis showed that product's originality (function, uniqueness, specialty, compatibility, distributor, expiration date), quality (amount, daily dose, visual representation, accessibility, portability, natural ingredients), and popularity (product container, brand image, taste and smell, advertised product, domestic or import, well-known function) were the three main causes. Secondly, the amount of benefits for the elderly group health lifestyle were affected by 'Interest in health', 'Notability of the health functional food', and 'Functionality approved mark'. Specifically, the importance of, 'Interest in health', 'Notability of health functional food', and 'Functionality approved mark' were noticeably high within health oriented elders. Lastly, after examining the data from elder lifestyle's relationship with health functional food selection trait, all three different results showed equal importance. If you closely examine material trend oriented elderly group, selection trait showed distinctively high regards in 'Fundamental Attribute', 'Typical Attribute', and 'Cognitive Attribute'. Health oriented elders showed their distinctively high regards in 'Natural Attribute', and less consideration in 'Typical Attribute' and 'Cognitive Attribute'. Complacent oriented-style elderly group showed less focus on 'Fundamental Attribute', and even less in 'Typical Attribute', and 'Cognitive Attribute'. Health oriented elderly group concluded with above data from the fact that they showed most importance and involvement in health beneficial products that are scientifically proven. Material trend oriented elderly group showed balanced traits in their concluded data, showing that they prefer function, safety, as well as the brand image and their reputation. Also, they consider the products' outer elements, such as design and product name, in order to sense inner functions. Conclusion: So, Silver Business corporations must develop products to fulfill the market demands, and strategize marketing plans to better target the correct audience.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.149-156
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• 2022

This research focuses on women in their 20s and 30s who have experience in consuming beauty products in the live broadcast of beauty products in China to find out the effects of consumers' consumption propensity on beauty product selection attributes. The data analysis is performed from April 29 to May 25, 2021 by using SPSSWIN 21.0 program for frequency analysis, factor analysis, reliability appraisal, technical statistical analysis, correlation analysis and multiple regression analysis. And the results of the study are as follows: According to the survey, the general characteristics are 20~25 years old, university, and the consumer price is between 500,000 and 1 million won. In terms of consumption propensity that the intrinsic pursuit of consumption, the impulsive consumption, the external pursuit of consumption were on a high average score which was 3.76, 3.63, 3.56 respectively, and in terms of the selection attributes of beauty products that the product intrinsic attributes, and the external attributes of products were on a high average score which was 3.91, 3.69 respectively. The external/internal attributes of beauty product selection attributes are all related to consumption propensity. According to the survey, the external pursuit of consumption, internal pursuit of consumption, and impulsive consumption of the propensity to consume all have a meaningful influence on the external/internal attributes of products. This result proves that the consumption tendency of beauty live broadcast consumers has a huge impact on the selection attributes of beauty products. In this regard, according to the consumption tendencies of Chinese women, the necessity of differentiated live-streaming marketing strategies for beauty products based on the characteristics of beauty product brands, categories, and designs has been proposed.

• Journal of Power Electronics
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• v.12 no.1
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• pp.223-231
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• 2012

In this paper, criteria for better selection of a supercapacitor through EIS (Electrochemical Impedance Spectroscopy) experiments are presented. The performance characteristics of a supercapacitor are thoroughly analyzed in terms of losses and available energy to select the optimal product. The validity of the proposed criteria is demonstrated through the computer simulations and experiments on a fuel cell vehicle using a supercapacitor module with the FTP-72 urban dynamometer driving schedule.

• Journal of information and communication convergence engineering
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• v.3 no.4
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• pp.209-212
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• 2005

This study proposes hybrid case-based reasoning and genetic algorithms model for customer classification. In this study, vertical and horizontal dimensions of the research data are reduced through integrated feature and instance selection process using genetic algorithms. We applied the proposed model to customer classification model which utilizes customers' demographic characteristics as inputs to predict their buying behavior for the specific product. Experimental results show that the proposed model may improve the classification accuracy and outperform various optimization models of typical CBR system.

• Journal of the Korean Home Economics Association
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• v.25 no.4
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• pp.33-45
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• 1987

The purpose of this study is to analyze the factorial structure of the criteria on clothing selection of the working women, and then to provide the date to develop an instrument to measure the criteria on clothing selection. A total of 877 samples were selected from unmarried female in the twenties. Data were analyzed using factor analysis, Pearson's product-mement correlation coefficients, content analysis and Cronbach's α. The results of the study were as follows; 1. There were identified 7 factors as the clothing selection criteria of the working women; Fashion, Practicality, Modesty, Appearance, Service, Comfort, and Impulse purchase. 2. Comparing with the previous results, we confirmed that the criteria on clothing selection was made up of at least 8 factors; Practicality, Comfort, Brand or price, Impulse purchase, Fashion, Individuality, Modesty, and Service. 3. According to the correlation among 8 factors, they formed two clusters; one cluster contained Practicality, Comfort, and Modesty factor, and the other did Brand or price, Impulse purchase, Fashion and Individuality factor. 4. Service factor was significantly correlated to the other factors, that is, service was the very important criteria on the clothing selection.