• Journal of Korean Society of Transportation
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• v.28 no.4
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• pp.119-128
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• 2010

Mode choice behavior is associated with travelers' latent behavior that is an unobservable preference to travel behavior or mode characteristics. This paper specifically addresses the problem of unobservable factors, that is latent behavior, in mode choice models. Consideration of latent behavior in mode choice models reduces the errors that come from unobservable factors. In this study, the authors defined the latent variables that mean a quantitative latent behavior factors, and developed the combined RP/SP model with latent variables using the mode choice behavior survey data. The data has traveler's revealed preference of existent modes along the Han River and stated preference of new water transit on the Han River. Also, The data has travelers' latent behavior. Latent variables were defined by factor analysis using the latent behaviour data. In conclusion, it is significant that the relationship between traveler's latent behavior and mode choice behavior. In addition, the goodness-of-fit of the mode choice models with latent variables are better than the model without latent variables.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.1098-1103
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• 2011

In spite of many advantages of cloud computing, security concerns are a barrier in users' adopting the cloud service. In this paper, we evaluate relative priorities between security attributes of ISO 7498-2 standards affecting overall security quality in cloud computing. For an objective evaluation, the fuzzy AHP(Analytic hierarchical process) is applied. The evaluation results represented the relative priority with concrete number can be an effective management method to choose and develop the cloud computing service.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.312-330
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• 2015

Domestic coffee franchise market in South Korea has been rapidly growing along with developing the global coffee franchises as well as entering domestic franchise companies into the beverage market. Competitions in the markets are getting more accelerated and local franchises and owner-operated coffee shops are losing their market shares gradually as a result. Local franchises and owner-operated coffee shops in Daegu, however, are notable in that they are maintaining the competitiveness in the markets. This is a unique phenomenon, which deserves to be analyzed to identify the successful attributes as a case study. Important Performance Analysis (IPA) method has been employed for analyzing and its gap(i.e., difference between importance and performance) analysis shows that the price and quantity of coffee are the most important differentiating attributes of local and owner-operated coffee franchises in Daegu.

• Culinary science and hospitality research
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• v.17 no.3
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• pp.47-64
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• 2011

This research try to find the strategic implication through the importance-performance analysis for the customers who visited local Jeonju-Bibimbap restaurants. It also investigates the effect of the selection attribute of the restaurants on customer satisfaction and behavior intention as well as how customer satisfaction affects behavior intention. The survey was conducted targeting those who visited the local restaurants in Jeonju and had Jeonju-Bibimbap, and 251 copies of the questionnaire were used for the final analysis. As a result, the properties 'Environmental cleanliness' and 'Convenience of reservations' in IPA are probed as 'improvement needed as soon as possible'; the 'food(p<0.01)' and 'service(p<0.05)' factors significantly affect customer satisfaction; the 'physical environment(p<0.01)' and 'service(p<0.05)' factors have significant effect on behavior intention; lastly, it has also been found true that customer satisfaction significantly influences behavior intention(p<0.001).

• Culinary science and hospitality research
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• v.16 no.5
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• pp.79-91
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• 2010

The purpose of this study is to investigate selection attributes of Korea and China restaurants in China. By a convenience sampling method, total 479(245 China restaurants and 234 Korea restaurants) useable data were selected. Multiple statistical methods(factor analysis, reliability analysis, T-test, multiple regression) were used to analyze the data. The results are as follows: First, restaurant satisfaction is affected by selection restaurant attribute factors. Second, restaurant satisfaction bas a significant impact on customer loyalty. Third, Korea and China restaurants have differences in customer satisfaction. Fourth, Korea and China restaurants have differences in customer loyalty.

• Culinary science and hospitality research
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• v.19 no.4
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• pp.243-255
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• 2013

The purpose of this study is to examine the menu selection attributes in Italian restaurants located in Jeonju area and analyze their customers' using patterns and favorite menu items in each menu section. The results are as follows. First, in terms of significance of choosing a menu item in Italian restaurants, the most important factors are defined as health management factors, service management factors, food management factors, and menu management factors. After the verification of satisfaction, there are significant differences in the health management factors. Second, in terms of Italian restaurant visiting patterns, the recognition level of Italian food was positive, number of visits per month was averagely once or twice a month, major companions were family members, main purpose was to having meals, and information of the food was acquired by word of mouth. Third, in each menu section, the most popular dishes were the one using mozzarella cheese in the antipasto, asparagus cream soup in the soup, carbonara in the pasta, the pizza topped with mozzarella cheese, salami, black olive, and tomato sauce in the pizza, fresh mozzarella cheese tomato salad in the salad, beef tenderloin steak and pan-fried halibut in the main dish, fresh fruits and tiramisu in the dessert. For future studies, there should be various researches and analyses for significant factors when selecting menu by each segment and group from the entire sample.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.475-485
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• 2012

The purpose of this research study was to identify the factors that influence comsumer who make decisions on preferred coffee types. Data was collected for a month from September $12^{th}$ to October $10^{th}$, 2010 from 807 participants who visited a cafe' in Seoul. The Limdep(LIMited DEPendent) 8.0 program was used in analyzing the determinants for preferred types of coffee using the multinomial logit model(MNL) approach. The results revealed that there were four taste preference groups being Espresso, Americano, Cafe' Late, and Cafe' Mocha ; as well as confirming that demographic characteristics influenced the coffee selection attributes, type of packaging, preferred coffee brand, and visit frequencies. This study found seven coffee selection attributes were significant factors in influencing patrons choices for purchasing speciality coffee being age range, profession, packing status, elation, superficial appearance, weight control, and habitual, respectively. The research reflects the coffee selection attributes by the customers' preference and concludes that it would be helpful to make marketing strategy for particular coffee brands.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.648-651
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• 2018

흡연여부를 감별하는 지표가 있지만 반감기 등 여러 가지 요인에 따라 결과가 변한다는 단점이 있다. 그렇기 때문에 흡연여부 감별 시 외부요인에 영향을 덜 받는 지표가 필요하게 되었다. 그래서 흡연 여부 감별하는데 적합한 모형을 찾아 외부요인에 영향이 적은 지표를 개발에 도움이 될 것을 기대하며 연구를 진행하였다. 실험은 국민건강보험공단에서 제공한 건강검진정보데이터를 기반으로, SVM, Logistic Regression, KNN 등의 머신러닝 모델을 이용하여 흡연 여부를 감별하는 것을 진행한다. 이 실험은 속성에 따른 모형의 성능변화와 학습데이터 수에 따른 모형의 성능변화에 대한 2가지 측면에서 모델의 성능을 측정하였다. 모델의 평가는 정확도(accuracy), 정밀도(precision), 재현율(recall), 조화 평균(f1-score)으로 진행하였으며, 약 70퍼센트 정도의 정확도와, 60퍼센트 대의 재현율을 보인다. 실험 결과, SVM이 속성에 따른 모형의 성능 변화 실험에서는 63%의 재현율, 학습데이터 수에 따른 성능 변화 실험에서는 68%의 재현율을 보여, 흡연자 판별에 가장 좋은 성능을 보였다. 또한 재현율을 기준으로 실험 차수별로 가장 좋은 성능을 보인 모델과 가장 저조한 성능을 보인 모델의 차이를 비교한 결과, '속성에 따른 모형의 성능 변화 실험'에서는 최고 36%의 차이를 보였으며, '학습데이터 수에 따른 성능 변화 실험'에서 최고 42%의 차이를 보여 주었다. 이에 판별을 위한 속성도 중요하지만, 적합한 모형 선택 또한 중요하다는 것을 확인하였다.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.438-447
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• 2012

The objectives of this research are: to provide fundamental data for tourism policy and investigate medical tourism attributes by IPA(Importance-Performance Analysis) to attract Japanese medical tourists to Korea. Utilizing Japanese medical tourists as subjects of inquiry, this study evaluated the importance of medical tourism selection attributes and the rate at which these attributes were performed. Consequently, this study deduced 'convenience, service quality, differentiation, approximation' factors by factor analysis as well as the ranking among each selection attributes using T-test. The importance-performance analysis showed 'Concentrate Here' in quadrant I, 'Keep up the Good Work' in quadrant II, 'Low Priority' in quadrant III and 'Possible Overkill' in quadrant IV. The results show that "Concentrate Here" part in quadrant I is reservation procedure rapidity and information system simplicity. This means that these attributes are very important but they indicate low performance. Thus, concentration among tourism managers should be focused along these attributes. The study, then, suggests that employee who speaks Japanese fluently should be arranged during reservation procedure. Furthermore, Japanese class should become mandatory during basic employee training to improve reservation procedure rapidity. Moreover, clinic websites should concentrate on accessibility of Japanese users in such a way that they can consult their needs on line. Finally, managers should find diverse ways to bring about good service rapidly and conveniently.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.5
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• pp.636-643
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• 2009

This research was to find out what impacts do selection attributes of Jeju local folklore food by Jeju tourists provide on their behaviors. Multiple regression analysis was carried out using statistics package of SPSS+/WIN 12.0 to find out impacts of selection attribute factors of Jeju local folklore food on customers' satisfaction, re-visit, and intention by word of mouth. As the results, for factors with statistically meaningful impacts at the level of meaningfulness (p<0.05); level of satisfaction showed regression coefficient of 0.476 and t value of 5.198 in essential factors; auxiliary factors showed regression coefficient of 0.232 and t value of 2.808; and sensual (five senses) factors showed regression coefficient of 0.165 and t-value of 2.013. Also, for re-visit, essential factors showed impacts with regression coefficient of 0.413 and t-value of 3.540; factors of menu composition showed regression coefficient of 0.228 and t-value of 3.118; and auxiliary factors showed regression coefficient of 0.218 and t-value of 2.643. In positive word of mouth factors, auxiliary factors showed impacts with regression coefficient of 0.273 and t-value of 2.555; sensual (five senses) factors showed regression coefficient of 0.264 and t-value of 2.238; essential factor showed regression coefficient of 0.237 and t-value of 2.230 and factors of menu composition showed regression coefficient of 0.161 and t-value of 2.167. Therefore, in customer behaviors (customer satisfaction, re-visit, and positive word of mouth) regarding Jeju local folklore food by tourists who visited Jeju, local folklore and cultures did not impact on customer behaviors; also, it can suggested this thesis is meaningful as a study proving that the best marketing is focus on essential substances of food as indicated in existing researches.