• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.131-140
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• 2013

Assuming that roles of traditional mass media are also shown in Twitter services, the study aims at exploring Twitter users' motives and rationales in re-tweet behavior. Based on the laddering interview method, the study gathers data on (1) message attributes (what kinds of messages do you re-tweet?); (2) consequences (what kinds of consequences are you expecting when you re-tweet?); and (3) values (what are the ultimate values in your re-tweet behavior?). The most repetitive value occurring in participants' retweet was feeling "sympathy" and "sharing" rationales. For such rationales, participants oftentimes utilize messages with "agenda" and "information" that are relative to themselves. Messages with "helping" to help others also frequently showed up in their retweet rationales. Known as liberalists' rationales, "communal consciousness", and "calling for others' action" are also shown, but not as frequent as "feeling sympathy and sharing. A total of 48 items from the analyses were used in a subsequent study as variables to identify factors (dimensions) of retweet motivation.

• Journal of Distribution Science
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• v.12 no.1
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• pp.13-19
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• 2014

Purpose - This study investigated relationship quality and/or loyalty, from the viewpoint that merchants and consumers could develop the traditional market. It reorganized variables to find the conditions of values that could stimulate consumers' motives to revive the traditional market. Research Design, data, and methodology - This study employed 202 copies of effective questionnaires, based on the data of Yang & Ju (2012), to conduct correlation, regression, and structured equation modeling (SEM). Results - The results emphasized product and store atmosphere as store selection attributes to consider in the minimum error correction (MEC) model; service factor was not significant. Further, consumers valued relationship quality in the test of mediated effects of the sub-factors of store selection attributes, including consumers' social and emotional value. The relationship quality significantly influenced consumers' value in traditional markets that needed to improve and develop using several variables. Conclusions - This study revealed connections between attributes, consequences, and values using the causal relation model, to generate an optimal model based on a practical and theoretical background and proposed ways to obtain consumer-related information easily.

• Proceedings of the Safety Management and Science Conference
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• 1999.11a
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• pp.537-540
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• 1999

We propose a decision model to incorporates the values assigned by a group of experts on different factors in selecting robots. Using this model, SN ratio of taguchi method for each of subjective factors as well as values of weights are used in this comprehensive method for robot selection. A numerical example is presented to illustrate the model and to show a rank reversal when compared to a model that does not eliminate extreme values and eliminates the highest and lowest experts' values allocating the weights and the subjective factors.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.193-207
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• 2008

This study analyzed the impact of the well-being trends and the attributes of the choice of the walnut-cookie on the consumer's purchasing intention. The results of this study would enhance newly revised product so that brand and product marketing strategy would be strengthened. This study also would contribute for the consumer related management through systematic and exploring research regarding consumers' expectation of products' values and trends. Specific results are as followings. Well-being oriented trends had various meanings such as "Commercial Well-being", "Eco-friendly Well-being", "Physical Well-being", and " Favors for leisure". Consumer's attributes of choice for the walnut-cookie were "Branding", "The Value of Traditional Food", "Environmental Position", and "The Function of Products". And the "Popularity", "Nutrition". and the "Service" were most preferred factors to be chosen. The multiple regression analysis was tried to test the impact of demographics, well-being trend, and the attributes of choice for walnut-cookie influence on the consumer's purchasing intention. The statistically significant factors were age, job, and leisure oriented consumer style of consumer's characteristics as well as corporation's brand strategy on a basis of marketing aspects. The younger groups, leisure pursing groups, and student groups showed the higher level of purchasing intention for the walnut-cookie compared to other groups.

• Communications for Statistical Applications and Methods
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• v.25 no.3
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• pp.297-306
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• 2018

Cardiovascular disease (CVD) is the leading cause of death worldwide and has a high mortality rate after onset; therefore, the CVD management requires the development of treatment plans and the prediction of prevalence rates. In our study, age, income, education level, marriage status, diabetes, and obesity were identified as risk factors for CVD. Using these 6 factors, we proposed a nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model for CVD. The attributes for each factor were assigned point values between -100 and 100 by Bayes' theorem, and the negative or positive attributes for CVD were represented to the values. Additionally, the prevalence rate can be calculated even in cases with some missing attribute values. A receiver operation characteristic (ROC) curve and calibration plot verified the nomogram. Consequently, when the attribute values for these risk factors are known, the prevalence rate for CVD can be predicted using the proposed nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model.

• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.88-105
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• 2006

Entering into the new millennium, the Korean wine market has recorded the highest growth rate among the domestic alcoholic beverage market and been recognized as a rapidly emerging market with further escalation potential. Responding to the current drastic escalation of Korean wine market in terms of its volume, the present study scrutinizes the considerable wine-selection attributes that are related to individual wine consumer‘s characteristics including demographic variables. These attributes are also expected to be precursors of wine consumers‘ satisfaction. ANOVA results suggest that each demographical variable-gender, age, income level, and the frequency of wine consumption-pertains to specific wine-selection attribute(s). Likewise, wine consumers‘ characteristics are also associated with those attributes. As wine consumers are experienced, they rely less on information; rather, their selections tend to be dependent upon quality, value, contexts, and preferences. The subsequent multiple-regression investigating the relationship between wine-selection attributes and satisfaction signifies that quality, contexts, and preference attributes are the substantial antecedents of wine consumers‘ satisfaction. When consumers purchase a wine, "information on purchase" was the most important criterion for the Newcomers and the Outsiders, while the Connoisseurs mainly depended on "marketability", "wine values" and "viticulture environment". "Preference" attributes influenced the Aspirants the most in buying decision. The Newcomers and the Outsiders need more information before deciding to purchase as their wine knowledge was very limited. The Connoisseurs were likely to consider the quality as a more important factor than the price and it is necessary to develop high quality wine at a reasonable price in order to attract this group.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.135-144
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• 2020

In graph theory, the least-cost path is discovered by searching the shortest path between a start node and destination node. The least cost is calculated as a one-dimensional value that represents the difference in distance or price between two nodes, and the nodes and edges that comprise the lowest sum of costs between the linked nodes is the shortest path. However, it is difficult to determine the shortest path if each node has multiple attributes because the number of cost types that can appear is equal to the number of attributes. In this paper, a shortest path search scheme is proposed that considers multiple attributes using the Euclidean distance to satisfy various user requirements. In simulation, we discovered that the shortest path calculated using one-dimensional values differs from that calculated using the Euclidean distance for two-dimensional attributes. The user's preferences are reflected in multi attributes and it was different from one-dimensional attribute. Consequently, user requirements could be satisfied simultaneously by considering multiple attributes.

• Korean journal of food and cookery science
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• v.23 no.3 s.99
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• pp.327-336
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• 2007

Life-style factors often include social relationships as well as consumption, entertainment and dress patterns. They also typically reflect an individual's attitudes, values and worldview. Life-style types have become and an important factor for segmenting customer markets ever since significant relationships between life-style and customers' behavior was proven. This study examined the relationships between the life-styles of young customers' and the important attributes of foodservice encounters. Factors analysis with VARIMAX and K-means cluster analysis were conducted to group the subjects by life-style. According to the factors analysis, four underlying dimensions were identified and labeled: (1) 'actively fashioned', (2) 'luxury picky', (3) 'healthy toward', and (4) 'utilitarian leisure'. Based on the factor scores derived from the factors analysis, the K-means cluster analysis classified three groups as statistically significant using ANOVA(p<0.05). The overall mean score for the 3rd cluster 'trendy-active picky' was higher than the other two clusters, and represented very picky attitudes about foodservice attributes. The 3rd cluster also seemed to apply higher standards to all of the foodservice attributes. By order of importance, the most important attributes of the 2nd cluster 'pursue-utilitarian leisure' were food serving time, automation systems, server's hygienes, employee kindness, time in line, and menu variety. In spite of low concerns for the life-style attributes, the first cluster 'passively indifferent' recognized menu variety, food sanitation, food serving time, server's hygiene, menu price, air circulation, and room temperature as important. These results suggest that young diners in Korea could be classified by their diverse life-styles that are represented as trendy, utilitarian, and indifferent and will hopefully contribute to the foodservice industry's ability to segment customer characteristics by different life-styles in Korea.

• Journal of Environmental Science International
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• v.17 no.3
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• pp.315-323
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• 2008

Based on the result of extraction of common factors executed in order to elucidate the visual attributes of street scenery by types through the rotation of 23 adjective variables by Varimax, the visual attributes expressed after the construction of the facilities using street scenery were anylized to be 4 factors including factor 1 through factor 4. Theexplanation of the 4 factor groups to explain the entire distribution was 65.3% and these factor groups are the psychological attributes felt when using facilities are constructed by securing the street spaces in downtowns and the factors were named as naturalness(factor 1), locality(factor 2), identity(factor 3) and clarity(factor 4) respectively. Based on the result of one-way layout distribution analysis, the preferences for street scenery by types were found out to show considerable differences at 1 % significance level. Based on the result of multiple regression analysis, all of the factors explaining preferences including factor 1 through factor 4 were significant at 1 % significance level. In case other conditions are constant, if the values of the adjective variables related to locality(factor 2) increase by 1 unit, the preferences which are the values of dependent variables will increase by 0.709. The variable with the largest relative contribution among the 4 factor groups was the locality(factor 2) factor group and on the contrary, it was found that the independent variable with least influences was the clarity(factor 4) factor group.

• Journal of the Korean Home Economics Association
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• v.43 no.7 s.209
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• pp.117-128
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• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.