• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.81-93
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• 2021

This study examined the effects of cosmetic selection attributes on consumers' purchase propensity and recommend intention. In addition, the moderating effect according to the consumer's deal proneness was verified. Finally, a multi-group analysis was conducted to verify the difference in the research model path according to the information source. Through this study, the selection attributes of consumers who purchase cosmetics were clarified. This study aims to meet the needs and demands of the related industry for more detailed and effective strategic insights by clarifying the structure of the influence of these selection attributes on purchase intention and recommendation intention according to the discount purchase intention. In order to achieve the research objectives due to this necessity, a questionnaire of 258 Korean female consumers was collected and used for research. The analysis results showed that product selection attributes, purchase intention, and recommendation intention all had a positive influence. As a result of analyzing the moderation effect according to the consumer's Deal Proneness, the results showed a moderating effect between the selection attribute and the purchase propensity, the selection attribute and the recommend intention, and the purchase propensity and the recommend intention. Finally, it was partially adopted as a result of conducting a multi-group analysis to verify whether individual paths of the model differ according to information sources.

• Journal of the Korean Society of Food Culture
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• v.25 no.5
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• pp.516-524
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• 2010

Consumers are highly interested in processed fishery products that are healthy and superior in terms of convenience, nourishment, and taste. However, current domestic research on processed fishery products is marginal. We systematically analyzed consumer consumption patterns and the relationship to pursuit benefits, selection attributes, satisfaction levels, and reasons for purchase. Consumers considered product information the most important selection attribute, whereas convenience scored highest for pursuit benefits. Furthermore, the influences of selection attributes and pursuit benefits on satisfaction level and the reason for purchasing an item were analyzed using demographic properties as control variables. The variables that affected satisfaction level were residential district (region: B= -0.268, p<0.05.), recipe (B=0.098, p<0.05), nutrients (B=0.124, p<0.05), convenience (B=0.283, p<0.001), and economics (B=0.138, p<0.05). The variables affecting the reason for purchasing were nutrients (B=0.173, p<0.001), convenience (B=0.277, p<0.001) and satisfaction level (B=0.163, p<0.001). Pursuit intention had significant effects on purchase intention; however, selection attributes had no significant effect on purchase intention. Therefore, consumer satisfaction had a significant effect on purchase intention. This result showed that if consumers were satisfied, they intended to repurchase. Attempts to increase repurchases by consumer are needed by fulfilling consumer satisfaction. These data can be utilized as a fundamental reference for sales promotions.

• Journal of the Korean Society of Food Culture
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• v.39 no.1
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• pp.30-37
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• 2024

Consumption market research was conducted on gradually increasing vegetarians using various selection attributes. Factors were extracted to identify vegetarian selection attributes and to divide the study cohort into groups, continuous variables (health, animal welfare, eco-friendliness, religion, familiarity, convenience, stability, and cost) and categorical variables (age, marital status, vegetarian duration, and vegetarian frequency) were simultaneously subjected to two-step cluster analysis. Cluster 1 contained high proportions of 20-29 and 30-39 year-olds, which are MZ-generation age groups. A high proportion had a vegetarian duration of 1-3 years, and the popular reasons for vegetarian selection were animal welfare and eco-friendliness. Cluster 2 contained high proportions of 50-59 and 40-49 year-olds, and many in this cluster were married, and mean vegetarian duration was ≥15 years. In addition, significant differences were observed between Clusters 1 and 2 in terms of religion, health, familiarity, cost, stability, and convenience. This study should contribute significantly to predicting vegetarian consumers' selection decisions and consumption behaviors and provide reliable marketing data for foodservice companies that develop vegetarian foods.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.227-230
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• 1997

In this paper, robot navigation experiments with a new navigation algorithm are carried out in real environments. The authors already proposed a reactive navigation algorithm for mobile robots using optimal via-point selection method. At each sampling time, a number of via-point candidates is constructed with various candidates of heading angles and velocities. The robot detects surrounding obstacles, and the proposed algorithm utilizes fuzzy multi-attribute decision making in selecting the optimal via-point the robot would proceed at next step. Fuzzy decision making allows the robot to choose the most qualified via-point even when the two navigation goals-obstacle avoidance and target point reaching-conflict each other. The experimental result shows the successful navigation can be achieved with the proposed navigation algorithm for real environments.

• Korean Management Science Review
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• v.20 no.1
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• pp.125-139
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• 2003

City gas is becoming an essential resource in households due to its convenience and low price in comparison to other energy sources. However, in order to prepare for the gas market to be saturated, many city gas companies must pursue customer satisfaction management and develop happy call systems for a promising solution. In the development of the happy call systems, the difficult problem is that we cannot contact all customers because of limited resources and calling efficiency in the call center, We should find best customers according to their value. This paper suggests a methodology for the selection of happy call customers when city 9as companies consider two strategies. First, they should launch a new business area. Second, they must attempt to prevent current customers from moving from city gas to other fuels. We will discover important attributes and derive rules of weighting for the attributes through an exploration study that affect customer satisfaction and preference. Through a simulation model, we will show how many customers will be selected by our methodology.

• Culinary science and hospitality research
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• v.23 no.5
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• pp.140-150
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• 2017

The purpose of the study was to provide useful implications for management of dessert cafe by discovering selection attributes for product satisfaction and long-term orientation. Using SPSS 22.0 and AMOS 220 Version, the collected data from customers of dessert cafe in Seoul and metropolitan areas were analyzed for frequency analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis, and covariance structure analysis. As results of hypothesis verification, firstly, service standard and product diversity had a significant effect on product satisfaction of dessert cafe. Secondly, tastes and nutrients influenced positively long-term orientation of dessert cafe. Meanwhile, service standard, mood, and product diversity did not have a significant effect on long-term orientation. Thirdly, product satisfaction affected positively long-term orientation. The results of the study provided useful implications for management of dessert cafe.

• Architectural research
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• v.23 no.4
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• pp.67-73
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• 2021

An efficient demolition process requires the optimum method selection considering stability, economic feasibility, environment, and workability. In reality the construction cost and period are priority concerns, and safe construction methods are neglected. In addition, the choosing demolition method is often determined subjectively by experienced field engineers. This research paper presents a multi-criteria decision-making method using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to select the optimum demolition method. Three experienced demolition engineers' opinions were used to develop the TOPSIS model. The case study showed that the preferences of ten attribute measurements for demolition method selection. Authors suggested the most preferable demolition method for the case study project.

• The Research Journal of the Costume Culture
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• v.11 no.2
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• pp.193-207
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• 2003

The purpose of this study was to investigate the demographics and general clothing buying behavior according to clothing shopping orientation of female workers. A questionnaire was developed to measure clothing shopping orientation, fashion information sources, stores selection criteria, clothing purchasing frequency of a year, purchasing expenditure of clothing, the demographics. The questionnaire was administered to 775 female teacher in Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, Cluster Analysis, x 1_test and ANOVA, Duncan test. The results of the study were as follows: 1. The female teachers were classified into four groups by the cluster analysis; indifferent shopping group, rational shopping group, conspicuous shopping group, recreational shopping group. 2. In the case of purchasing motives, significant differences were found according to shopping orientation subdivision in four factors. 3. The evaluation criteria of product were significantly different depending on shopping orientation subdivision in practical attribute, socio-psychological attribute, and aesthetic attribute. 4. The significant differences were found according to shopping orientation subdivision in general clothing purchasing behavior(purchasing price range of clothing, clothing purchasing frequency of a year, method of payment, number of stores visited, experience of buying in the import brand)

• Journal of KIISE:Software and Applications
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• v.32 no.9
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• pp.920-926
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• 2005

Nearest neighbor algorithms classify an unseen input instance by selecting similar cases and use the discovered membership to make predictions about the unknown features of the input instance. The usefulness of the nearest neighbor algorithms have been demonstrated sufficiently in many real-world domains. In nearest neighbor algorithms, it is an important issue to assign proper weights to the attributes. Therefore, in this paper, we propose a new method which can automatically assigns to each attribute a weight of its importance with respect to the target attribute. The method has been implemented as a computer program and its effectiveness has been tested on a number of machine learning databases publicly available.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.465-473
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• 2021

The main aim of this research paper is to identify the factors that influence smartphone purchase intention in the Nepalese market. The study identifies how the brand personality, attribute factors, and the price factor influence the purchase intention of a smartphone. The paper puts the emphasis on how the consumer preference functions in the selection of the smartphone and which factor plays the more significant role in smartphone purchase intention. This research paper has used primary data and a 7-point Likert scale survey questionnaire. The primary data has been collected through a structured survey questionnaire by using convenient sampling technique from 294 smartphone users in the Kathmandu Valley. Descriptive statistics, Correlation Analysis and Structural Equation Modeling (SEM) have been carried out to analyze the primary data using the SPSS AMOS 24. Brand personality, attribute factor, and product price were taken as independent variables to identify the impact on purchase intention. The result of the regression path analysis showed that brand personality has no significant effect on purchase intention in the purchasing of smartphone. It is also found that the product attributes and product price have a significant influence on consumer purchase intention of a smartphone in Nepal.