• Culinary science and hospitality research
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• v.21 no.1
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• pp.250-266
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• 2015

This study concentrated on the dining out consumption behaviors, dining out selection attributes, and changes in eating habits of silver generation. Total 216 residents in metropolitan area were employed for statistical analysing. The results are as follows. First, as the result of t-test and ANOVA showed that female and higher academic background tended to regularly take high level of fruits, vegetables, meat, and fish eating habits. These results identified that dining out culture and dietary lifestyle are closely linked. Second, as the result of difference in dining out consumption attitudes on eating habit of silver generation, consumers who have better eating behaviors tended to consider the physical environment, variety of menu, and service quality when they choose a restaurant. Third, as the result of analysis on changes in dining out consumption behavior based on eating behavior of silver consumers, groups differences were found from only the source for information on dining out business and standard variable in selection of dining out business. Fourth, physical environment, variety of menu, business quality, and service were indicated as significant selection attributes of dining out among silver peoples. Fifth, dining out consumption behaviors of silver consumers were developed through newspapers, magazines, and previous visiting experiences. In conclusion, the results of present study showed that silver consumers tend to select a restaurant based on word-of-mouth and various factors related to experiences. Hence, various promotional activities are necessary for the business succession.

• Journal of Service Research and Studies
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• v.11 no.2
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• pp.21-36
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• 2021

This study investigated the means-end chain theory more concretely through the APT hard laddering technique. This is carrying out a questionnaire survey targeting users by hair salon type, and the items drawn from the qualitative laddering technique are applied. The technique is a comparative analysis of each attribute, consequences, and value item by analyzing each step's questions. The results are as follows. First, hairdresser's ability, acceptance of individual-customized opinions, and cheap price were the most mentioned items in the selection attributes. As for the consequences items, image transformation, neatness, novelty, and psychological stability were drawn in order. The items indicated as important among the value items were satisfaction, followed by happiness, confidence, beauty, and bond. Second, the remarkable selection attributes, irrelevant of hair salon type, was revealed as hairdresser's ability and the key values pursued when using a hair salon were drawn as satisfaction, confidence, and beauty. From this result, it was found that meeting the desire of consumers using hair salons can be linked with ultimately pursued values. It was also verified that partial differences were shown by hair salon type and this meant that consumers' desire and expected benefits were different by hair salon type. Although this study drew value perception through comparison with hair salon types based on the means-end chain theory, it was confirmed that the most important selection attribute was hairdresser's ability and they select and use hair salons to gain satisfaction and confidence.

• Journal of Korean Society of Transportation
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• v.23 no.6 s.84
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• pp.91-102
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• 2005

When it comes to the process of information storage, people are likely to organize individual information into the forms of groups rather than independent attributes, and put them together in their brains. Likewise, in case of finding the shortest path, this study suggests that a Hierarchical Road Network(HRN) model should be selected to browse the most desirable route, since the HRN model takes the process mentioned above into account. Moreover, most of drivers make a decision to select a route from origin to destination by road hierarchy. It says that the drivers feel difference between the link travel tine which was measured by driving and the theoretical link travel time. There is a different solution which has predicted the link travel time to solve this problem. By using this solution, the link travel time is predicted based on link conditions from time to time. The predicated link travel time is used to search the shortest path. Stochastic Process model uses the historical patterns of travel time conditions on links. The HRN model has compared favorably with the conventional shortest path finding model in tern of calculated speeds. Even more, the result of the shortest path using the HRN model has more similar to the survey results which was conducted to the taxi drivers. Taxi drivers have a strong knowledge of road conditions on the road networks and they are more likely to select a shortest path according to the real common sense.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.221-229
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• 2015

This study aims to identify and analyze the main factors that determine the properties and buying behavior in the premium bottled select and analyze the degree of impact on the relevant variables are premium water demand. When applied to the truncated negative binomial model to derive the study results: The results of estimating the variables that affect the demand for premium mineral water are as follows. Premium bottled water demand of this group my purchases with a choice between buying behavior variables are significantly higher than the relative population. To also do a good ingredient water, it appeared to be on a statistically significant positive effect on the demand for the more groups you purchase a premium bottled water for the purpose of receiving special feeling, just buy purpose is called to drinking water does not significantly affect to be analyzed. Among demographic characteristics it showed that demand for premium bottled water purchases are significantly higher in women than in men, professional / clerical job, such as the military, college graduates were more consumer research as significant in comparison to the relative population. Taste and package design factors of premium bottled mineral water among the select attribute factors are having a significant positive impact on the purchasing demand, local conditions and cost factors have been estimated to be insignificant.

• Archives of design research
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• v.13 no.4
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• pp.195-201
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• 2000

To find out media's function on the various effects in communication, this paper reviews studies that utilize multimedia as a device for conveying information. We discuss multimedia as an integrated symbol system with advantages and also problems in representing information. The cognitive dissimilarity of media could be explained by various attributes of medium that are about physical characteristics and even cognitive actions. With advantages from integrated media and interactivity, multimedia has negative results such as cognitive overload and in that reason systematic approach is needed. This paper shows the factors on media selection and relationship to interface components. To select appropriate media to the needs and situation, it should be considered the user's ${\circled1}$background ${\circled2}$knowledge / frequency of use / expertise, contents ${\circled1}$task nature ${\circled2}$type of knowledge and media ${\circled1}$representation format ${\circled2}$interaction techniques. Varying the media factors and varying the expression factors offers concrete design features.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.240-259
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• 2020

Analyzing network traffic is the basis of dealing with network security issues. Most of the network security systems depend on the feature selection of network traffic data and the detection ability of malicious traffic in network can be improved by the correct method of feature selection. An FAFS method, which is short for Fuzzy Association Feature Selection method, is proposed in this paper for network malicious traffic detection. Association rules, which can reflect the relationship among different characteristic attributes of network traffic data, are mined by association analysis. The membership value of association rules are obtained by the calculation of fuzzy reasoning. The data features with the highest correlation intensity in network data sets are calculated by comparing the membership values in association rules. The dimension of data features are reduced and the detection ability of malicious traffic detection algorithm in network is improved by FAFS method. To verify the effect of malicious traffic feature selection by FAFS method, FAFS method is used to select data features of different dataset in this paper. Then, K-Nearest Neighbor algorithm, C4.5 Decision Tree algorithm and Naïve Bayes algorithm are used to test on the dataset above. Moreover, FAFS method is also compared with classical feature selection methods. The analysis of experimental results show that the precision and recall rate of malicious traffic detection in the network can be significantly improved by FAFS method, which provides a valuable reference for the establishment of network security system.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.5
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• pp.749-764
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• 1994

It was assumed that a consumer forms images of all the factors related to clothing merchandise such as trademarks, stores, products and prices that he/she perceives in the market and those images deforming his/her preference for a particular piece of clothes and intention of purchase. Under this assumption, this research was designed to find out important factors of clothes that help a consumer form an image of the clothes, among other attributes of the merchandise, and how this image is related to the existing extraneous variables such as the trademark image, the consumer's self image, the price, etc. in leading the consumer to purchase the particular clothes in the end. In the empirical research, a preliminary survey was conducted to select brands of womenswear that were suitable for this study and as the result, 16 brands were chosen. Then one trademark, one store and two products from each of the 16 brands were selected. With these materials, 32 stimulus sheets were prepared, and each of them was composed of 3 photos of a brand's catalog and logo, the interior of a selected store that carried products of the brand, and formal suits selected from each brand's spring/summer 1993 collections. Subjects were 460 women in the age groups of 20-50s who live in Seoul Metropolitan area. Each of the subjects was provided with a survey questionnaire and 16 stimulus sheets. The main findings of this research prove that consumers follow a certain selection process model when they purchase clothes: consumers, first, from images of merchandise based on the trademarks, stares, and products and those formed images work il.: medium variables and in the end they help the consumers decide whether to buy the products.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2007.05a
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• pp.176-179
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• 2007

Every individual uses, appraises and interacts with products on a daily basis. It is evident from current trends and theories associated with product design, that these products that are a part of our everyday lives, satisfy our needs in two ways, functionally and psychologically. While a product's usability or the service it provides may satisfy our functional needs, it is often the case that when given a choice, we may select one product from the other, even though they are functionally alike. Why do we make these choices, and more importantly, how? When users are satisfied with a product's performance, they seek a stronger emotional involvement with them(Lewalski, 1988). Are emotions responsible for our choices, likes and dislikes of products? What is the nature of this emotional involvement, what are these emotions, and how, if possible, can we design to generate specific emotions? This research proposes to develop into these questions. It is an effort to formulate the underpinnings of "design for emotions" and uncover the possibilities of a design process that places "emotion" as an equally important concern for the design of objects, as functionality or aesthetic appeal. The literature review will include a systematic study of human and product attributes, theoretical and empirical studies of emotion, and the interaction of humans and products is discussed. This project examines what product characteristics lead to an emotional experience, when people interact with them, and suggests a methodology or design guidelines that may allow designers to enhance or specifically modify the emotions experienced by people, while using the products that are a part of their everyday lives.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6204-6210
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• 2013

This study examined adomestic firm's perspective on how their choice of partner selection criteria affects the mediating variables and the performance of international strategic alliances with particular reference to previous experience as a moderating variable. The findings of this study showed that the task-related and partner-related criteria are both positively related to trust and commitment but the results concerning the partner-related criteria repudiates the existing practices that domestic firms select foreign partners based on the partners' attributes because this weaken the commitment of the partnership. This study suggests that firms should revise their partner selection criteria, which will eventually lead to the more desirable performance of international strategic alliances.

• Journal of the Korean Society of Tobacco Science
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• v.22 no.2
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• pp.184-189
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• 2000

This study was conducted to develop the objective evaluation method for tobacco smoke. The evaluation was carried out by using the data of cut or blended tobacco components, smoke components, electric nose system (ENS), and sensory test. By using the statistical methods, such as cluster analysis, discriminant analysis, factor analysis, correlation analysis, and multiple regression analysis, the relationship among the data of tobacco, smoke, ENS, and sensory evaluation was studied. By the results of cluster analysis, the data from smoke analysis by GC and ENS were able to select the difference of tobacco leaf characteristics. As the results of discriminant analysis, grouping by the components of tobacco leaves and smoke was possible and the results of GC analysis of smoke could be used for discrimination of tobacco leaves. In the results of factor analysis, nicotine, tar, CO, puff No and pH in the smoke were the factors effecting on the tobacco leaf characteristics. From the correlation analysis, aroma, taste, irritation, and smoke volume of sensory test had high relation to tar, p-cresol threonolatone, levoglucosane, and quinic acid- ${\gamma}$ -lactone of smoke. The ENS data showed high efficiency for discriminant analysis and cluster analysis, but it was not good for factor analysis, and correlation analysis. It was possible to estimate tobacco leaves and their blending characteristics by the analytical data of tobacco leaves, smoke, ENS, and sensory test results. By the multiple regression analysis, some correlation among selected chemical components and sensory evaluation were found. This study strongly indicated that the some chemical analysis data was available for the objective evaluation of tobacco sensory attributes.