• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.249-257
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• 2023

In this paper, we propose ways how portal site POI(Point-of-Interest) contents by analyzing the effect of portal site POI contents attributes on favorability, satisfaction, and visit intention, and to propose a strategic marketing plan using portal site POI contents in restaurants. In this study, a survey was conducted on 300 people who had experience using portal site POI contents. Through prior research, the portal site POI contents attributes were classified into accuracy, authority, aesthetics, and currency. To verify the research hypothesis, single regression analysis and multiple regression analysis were conducted to confirm the relationship between variables. To summarize the core research results, first, the portal site POI contents attribute showed a positive relationship with favorability. Second, it was found that the portal site POI contents attribute had a positive relationship with satisfaction. Third, it was found that favorability had an effect on satisfaction. Fourth, it was found that favorability had an effect on the visit intention. Fifth, satisfaction was found to have an effect on the visit intention. Based on the analysis results, in order to induce customer visits in restaurants, it is necessary to make good use of portal site POI contents to increase user favorability and to allow users to visit stores.

• The Korean Journal of Food And Nutrition
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• v.30 no.2
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• pp.345-355
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• 2017

The purpose of this study is to provide basic data for the development direction and strategy for medicines through analysis of differences in choice attributes according to customers awareness of medicines and experience. In order to achieve the purpose of this study, a questionnaire survey was conducted on dietary education among national network trainees and lecturers by the Ministry of Food, Agriculture, Forestry and Livestock in Daegu, Gyeongsan, and Ulsan, Seoul from December 5, 2016, respectively. First, factor analysis results showed that six factors were extracted with respect to the choice of the restaurant. Second, the difference in each factor according to the recognition and experience of medicinal herbs was the health related factor as sex, females, age 50~59 years, companion others, and publicity and advertising' factors were more important for publicity and advertisement when the gender was female, the customer's age was 40~49 years, the companion was other, and the time of use was during the weekend. Among the factors related to 'getting dressed', the more important gender was female, age 40~49 years, and the other partner, The factors related to 'time' were as follows: sex, age, age 20~29 years, no accompanying companions, no time of use, and time importance. The 'menu' factors were more important for men, gender, women, age 40~49 years, companion for guitar, and usage time for weekend dinner. The 'service' factors were more important in 'service' as sex, male age, age 20~29, companion family, usage time, and weekend dinner.

• Journal of the Korean Dietetic Association
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• v.7 no.4
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• pp.397-409
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• 2001

The purposes of this study were to identify customer expectation, perception and satisfaction of foodservice quality to analyze the influencing factors on foodservice quality and finally to provide basic information for the improvement of foodservice quality. A survey of 4 factory foodservices was undertaken and detailed information was collected from 675 respondents. Statistical data analysis was completed using the SPSS package program for descriptive analysis, t-test and one-way ANOVA. Male had higher scores than female in perceptions of foods and services, and the differences were statistically significant. As analysis of expectation, perception and satisfaction result of age, expectation and perception were statistically significant, and mostly expectation and perception increased according as age increased. Expectation and perception showed statistical differences by marital status. Married people had higher scores in expectation and perception of food and service than single. According to family type, respondents living alone showed lower scores in expectation and perception of food and service than those living with family or relatives. Conversely, living alone had high expectation on service. As analysis of work type, office workers showed higher scores of service expectation, food and service perception than production workers. As education level increased, food and service expectation and perception increased mostly. As analysis of work post, food and service expectation and perception increased as work post raised. Meanwhile, married people had higher scores in service quality of satisfaction than single. Result of the study can be summarized as follows the analysis of expectation, perception and satisfaction of foodservice quality, the Quadrant of food and service quality expectation and perception according to demographic variables. Expectation, perception and satisfaction scores of foodservice attributes according to work type. The distribution of attributes with satisfyingly significant difference in grid.

• Culinary science and hospitality research
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• v.22 no.8
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• pp.78-88
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• 2016

This study conducted to find influences of selection attributes on consumer satisfaction as perceived by low-cost restaurant visiter by considering personal value. Developed survey was distributed and 428 sample who visited the low-cost franchise restaurant were employed the statistical analyze. The internal value and the external value included individual value in order to estimate the influence of the choice factor of the low-cost franchise restaurant on the quality of the product, and the choice factors were consisted of 3 variables that are quality, accessibility and service. Regression analysis was conducted to verify the relationships among the variables. As a result, the internal value (${\beta}=.236$, p<.0.01), and external value (${\beta}=.352$, p<.001) have the significant positive relationships with respect to quality. Second, the external value (${\beta}=.305$, p<.001) has the positive relationship with regard to accessibility, but the internal value has no significant relationships with level of accessibility. Third, the internal value (${\beta}=.828$, p<.001) has the significant positive relationship with regard to service, but there was no significant influences between external value and service in this study. Fourth, the internal value (${\beta}=.472$, p<.001), the external value (${\beta}=.479$, p<.001) were critical antecedents of the quality. Last, while quality (${\beta}=.858$, p<.001) has significant positive relationship with satisfaction, but it didn't show any relationships with accessibility and service.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.105-118
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• 2006

Zara and Limited Brands in the fashion industry are two leading companies that satisfy the clients' needs and the trend of fashion. The agile organizations which response to the change of business environment or adaptive enterprises which monitor the customer's desires have been studied over the long time in the academic world. Recently these management concepts have been extended to the Real-Time Enterprise. In this paper how to implement the RTE in the fashion industry is suggested. To implement the RTE, the end-to-end process should be continuously operated without delays. Also, the three main attributes of RTE, -visibility, intelligence, and agility-should be achieved. Further more based on the cyclone model and the RTE attributes, important issues to be considered for the successful RTE implementation are discussed.

• Korean journal of food and cookery science
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• v.29 no.5
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• pp.553-562
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• 2013

The purpose of this study was to analyze the key factors considered important by customers in the selection of a Korean restaurant through the use of conjoint analysis techniques. A total of 400 questionnaires were distributed over a 2-week period in October 2011, of which 354 were completed (88.5%). Statistical analysis was then carried out using the Windows 18.0 Statistics package. The research was based on the analysis of two target areas - daily meals and special purpose meals. Responses were measured by using Zaichkowsky's Personal Involvement Inventory (PII) and a 7-point Likert Scale. Overall it was found that in all areas of the results regarding the involvement related analyses, daily meals scored lower than special purpose meals. This implied that the choice of daily meals is more applicable to customers with a low level of involvement, whereas high-involvement customers were more likely to focus on special purpose meals. The analysis of high-involvement customers revealed that the quality of food, price, service quality and physical environment, in order of priority, were the most important factors in selecting a restaurant. The use of the optimum attribute combination revealed the following results: delicious food (0.601); friendly staff (0.170); clean restaurant (0.191); price of 20,000 won (-0.513). Furthermore, low-involvement customers considered the following factors as important when selecting a Korean restaurant: quality of food, followed by price, physical environment and service quality in that order. In this instance, the optimum attribute combination showed the following outcomes: tasty food (0.645); friendly staff (0.418); clean restaurant (0.365); price of 5,000 won (-0.847). These results indicated the importance of developing a marketing plan which was based specifically on a customer's involvement level, focusing on their main selection criteria when choosing a Korean restaurant.

• Culinary science and hospitality research
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• v.18 no.4
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• pp.15-26
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• 2012

As the living standards are improving, the interest in wine is getting higher and its consumption is increasing. Accordingly, this study is designed to find out how wine is selected depending on cooking methods when a customer selects wine by Western menu. For the purpose of this study, the customers who have used Western restaurants in hotels in Seoul area were selected for the survey from November 1 to November 30, 2011, and 177 copies of the questionnaire were used for analysis. As a result of analysis regarding the difference in satisfaction with wine selection by sex, women were analyzed to have a higher intention than men. In the satisfaction of customers by age, the older people responded to generally have a higher degree of satisfaction. In the satisfaction of customers by monthly income, the ones who earn more than 11 million won a month were identified to have a higher degree of satisfaction than those who earn 3 million won a month.

• Journal of Korea Game Society
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• v.18 no.1
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• pp.105-114
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• 2018

Various data analysis methods used for customer type analysis are very important for game companies to understand their type and characteristics in an attempt to plan customized content for our customers and to provide more convenient services. In this paper, we propose a k-mode cluster analysis algorithm that uses information uncertainty by extending information entropy to reduce information loss. Therefore, the measurement of the similarity of attributes is considered in two aspects. One is to measure the uncertainty between each attribute on the center of each partition and the other is to measure the uncertainty about the probability distribution of the uncertainty of each property. In particular, the uncertainty in attributes is taken into account in the non-probabilistic and probabilistic scales because the entropy of the attribute is transformed into probabilistic information to measure the uncertainty. The accuracy of the algorithm is observable to the result of cluster analysis based on the optimal initial value through extensive performance analysis and various indexes.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.315-321
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• 2012

In this study, the product attributes that give customers the estimated benefits and products that can predict the customer's choice conjoint analysis techniques to identify the restaurant affinity markets a new dining concept was to develop. Questionnaire for this study of 400 non-response is negative and insincere characters, except for the final analysis, the questionnaire Part 309 was the target. Conjoint model used in this study Pearson's R is 0.928 ($p$<0.000), Kendall's tau is 0.750 ($p$<0.000) with an orthogonal plan was well suited for profiling attributes are extracted 16. Part of the relative importance of the value of the property to determine the result of analyzing the properties that are most important at the level of the respondents of the induct (38.46%), and followed by price (30.52%), Atmosphere (18.28%), and Exclusive space (12.73%) was followed. Portion of the property value for each analysis among industry preference for the Italian food was highest, a nature-friendly interior atmosphere had the highest affinity Average per price at 10,000 won~30,000 won or less than the amount of affinity was higher location of the restaurant alone, showed that space preferred. Through simulation in a virtual seafood restaurant nature-friendly image, average price per person ranging from 10,000 to 30,000won at an exclusive restaurant was most preferred.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.1-18
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• 2022

As digital technology converges into the e-commerce market across industries, online transactions have activated, and the use of online has increased. With the recent spread of infectious diseases such as COVID-19, this market flow is accelerating, and various product information can be provided to customers online. Providing a variety of information provides customers with various opportunities but causes difficulties in decision-making. The recommendation system can help customers to make a decision more effectively. However, the previous research on recommendation systems is limited to only quantitative data and does not reflect detailed factors of products and customers. In this study, we propose an intelligent recommendation system that quantifies the attributes of products and customers by applying text mining techniques to qualitative data based on online reviews and integrates the existing objective indicators of total star rating, sentiment, and emotion. The proposed integrated recommendation model showed superior performance to the overall rating-oriented recommendation model. It expects the new business value to be created through the recommendation result reflecting detailed factors of products and customers.