• Journal of Distribution Science
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• v.9 no.4
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• pp.5-13
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• 2011

This study provides analysis of the effectiveness of domestic marketing strategies of the Korean coffee shop "Caffe Bene". It bases its evaluation on statistical outputs of 'choice attributes,' "market segmentation," demographic characteristics," and "satisfaction differences." The results are summarized in four points. First, five choice attributes were extracted from factor analysis: price, atmosphere, comfort, taste, and location; these are related to coffee shop selection behavior. Based on these five factors, cluster analysis was conducted, with statistical results classifying customers into three major groups: atmosphere oriented; comfort oriented; and taste oriented. Second, discriminant analysis tested cluster analysis and showed two discriminant functions: location and atmosphere. Third, cross-tabulation analysis based on demographic characteristics showed distinctive demographic characteristics within the three groups. Atmosphere oriented group, early-20s, as women of all ages was found to be 'walking down the street 'and 'through acquaintances' in many cases, as the cognitive path, and mostly found the store through 'outdoor advertising', and 'introduction'. Comfort oriented group was mainly women who are students in their early twenties or professionals, and appeared as a group to be very loyal because of high recommendation to other customers compared to other groups. Taste oriented group, unlike the other group, was mainly late-20s' college graduates, and was confirmed, as low loyalty, with lower recommendation activity. Fourth, to analyze satisfaction differences, one-way ANOVA was conducted. It shows that groups which show high satisfaction in the five main factors also show high menu satisfaction and high overall satisfaction. This results show that segmented marketing strategies are necessary because customers are considering price, atmosphere, comfort, taste, location when they choose coffee shop and demographics show different attributes based on segmented groups. For example, atmosphere oriented group is satisfied with shop interior and comfort while dissatisfied with price because most of the customers in this group are early 20s and do not have great financial capability. Thus, price discounting marketing strategies based on individual situations through CRM system is critical. Comfort oriented group shows high satisfaction level about location and shop comfort. Also, in this group, there are many early 20s female customers, students, and self-employed people. This group customers show high word of mouth tendency, hence providing positive brand image to the customers would be important. In case of taste oriented group, while the scores of taste and location are high, word of mouth score is low. This group is mainly composed of educated and professional many late 20s customers, therefore, menu differentiation, increasing quality of coffee taste and price discrimination is critical to increase customers' satisfaction. However, it is hard to generalize the results of study to other coffee shop brand, because this study have researched only one domestic coffee shop, Caffe Bene. Thus if future study expand the scope of locations, brands, and occupations, the results of the study would provide more generalizable results. Finally, research of customer satisfactions of menu, trust, loyalty, and switching cost would be critical in the future study.

• Journal of the Korean Society for Railway
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• v.12 no.3
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• pp.348-356
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• 2009

The objective of this paper is to estimate the DMT utility function for the transportation mode choice using SP survey. With the freight OD data the estimated utility function can be used as a basic data for forecasting DMT market. 3 alternatives of transportation mode are considered in SP survey; railway, road and DMT. The utility functions are developed according to the freight items, which are container, steel and chemical product. In this study the attribute variable are chosen as time, cost and reliability. The number of level for attribute variables are 3. The high valve is determined as +10% above the standard and the low value -20% below the standard.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.137-146
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• 2020

VR(Virtual Reality), which has drawn attention as a major area in ICT, is currently being used in various fields, including medical care, movies and architecture. Although VR technology is used in various fields, contents are mainly developed by creators where needs of users are easily left out of consideration leading to failure in forming a consensus between UI(User Interface) and UX(user experience). To identify the consumer preference and attribute level of VR game content, which is responsible for the largest proportion of VR contents, this study was designed to examine the consumers' preference properties of VR game contents through a Conjoint Analysis and derive the relative importance and weightings of each group. The study collected 166 questionnaires over a total of three months from May to July 2019, 150 of which were completed (90.4%). Statistic analysis was conducted using SPSS Ver. 25.0. The results of the study showed that the genre of the game (42.6%), number of players (24.0%), price for payment (20.3%) and game planning (13.1%) were important attributes in choosing VR games. The optimal mix of attributes was derived with new games, RPGs, multi-play and medium price (22,000 KRW). Before mentioning technology in the expectations of users who use VR game content, which is the most preferred among VR contents, this study recognized the need to have a fun and new experience through VR game content. Therefore, it is expected that this will serve as a reference for consumer behavior of VR game contents and research on VR game contents development.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.121-131
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• 2014

Traffic speed is an important measure in transportation. It can be employed for various purposes, including traffic congestion detection, travel time estimation, and road design. Consequently, accurate speed prediction is essential in the development of intelligent transportation systems. In this paper, we present an analysis and speed prediction of a certain road section in Busan, South Korea. In previous works, only historical data of the target link are used for prediction. Here, we extract features from real traffic data by considering the neighboring links. After obtaining the candidate features, linear regression, model tree, and k-nearest neighbor (k-NN) are employed for both feature selection and speed prediction. The experiment results show that k-NN outperforms model tree and linear regression for the given dataset. Compared to the other predictors, k-NN significantly reduces the error measures that we use, including mean absolute percentage error (MAPE) and root mean square error (RMSE).

• Journal of the East Asian Society of Dietary Life
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• v.17 no.2
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• pp.274-287
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• 2007

The purpose of this study was to examine the actual state of cooking wine usage, and analyze the relationship between the attributes of cooking wine and demographic characteristics. The major findings of this study are as follows. First, the origin and correct choice of cooking wine were significantly related to hotel type, restaurant type and career. Second, the importance of the taste and aroma of a cooking wine, which are intrinsic attributes in the evaluation of a wine, had significant relationships with all the demographic variables whereas the importance of purchase cost and label information of the cooking wine only exhibited a significant correlation with career (p<0.05). Third, 53.7% of the respondents used cooking wine based on recipes, while the rest used it by rule of thumb. These results between restaurant type were significantly different (p<0.05). For the results of this research to be of more use, further research should be conducted on the functional aspects of cooking wine and their effects on cooking. In addition, further systematic research should be performed on the functional and sensory effects of a variety of wine tastes and aromas on cooking.

• 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 KIISE:Databases
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• v.27 no.1
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• pp.53-63
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• 2000

The mobile computing service market is increasing rapidly due to the development of low-cost wireless network technology and the high-performance mobile computing devices. In recent years, several methods have been proposed to effectively deal with restrictions of the mobile computing environment such as limited bandwidth, frequent disconnection and short-lived batteries. Amongst those methods, much study is being done on the caching method - among the data transmitted from a mobile support station, it selects those that are likely to be accessed in the near future and stores them in the local cache of a mobile host. Existing cache replacement methods have some limitations in efficiency because they do not take into consideration the characteristics of user mobility and spatial attributes of geographical data. In this paper, we show that the value and the semantic of the data, which are stored in the cache of a mobile host, changes according to the movement of the mobile host. We argue it is because data that are geographically near are better suited to provide an answer to a users query in the mobile environment. Also, we define spatial location of geographical data has effect on, using the spatial attributes of data. Finally, we propose two new cache replacement methods that efficiently support user mobility and spatial attributes of data. One is based on the location of data and the other on the meaningful region of data. From the comparative analysis of the previous methods and that they improve the cache hit ratio. Also we show that performance varies according to data density using this, we argue different cache replacement methods are required for regions with varying density of data.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.4
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• pp.633-643
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• 2013

This study investigated the efficiency of university foodservice operations by analyzing the effect of consumer's perception towards university foodservice quality. University students in the Jeonnam area were surveyed and 571 out of 700 surveys were chosen (response rate: 97.0%). SPSS (ver. 20.0) was used to conduct descriptive analysis, factor analysis, reliability analysis, t-test, and multiple regression analysis. The results show that 21.9% of university students have never used the university foodservice, while 48.7% of university students have eaten there 1~2 times per week. The most common reasons reported for avoiding the university foodservice were a limited menu selection (51.5%) and an untasty food (45.8%). The perception of overall service quality at the university foodservice scored relatively low (3.01 points), compared with its importance (3.89 points). The food taste, menu variety, and quality of food ingredients are factors that require improvement for operational strategies by the importance-performance analysis (IPA). The food factors (taste, variety, and quality) among university foodservice qualities had a significantly positive effect on consumers' overall satisfaction (p<0.001), perceived value (p<0.01), intent to recommend (p<0.001), and intent to revisit (p<0.01). These result indicate that the university foodservice management should focus on developing food factors and strive to meet the needs of university students through continuous customer surveys.

• Archives of design research
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• v.14 no.3
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• pp.59-68
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• 2001

The design on magazine advertisement has been developed and investigated in various fields, but the matter of properties has been inattentive in advertisement. Therefore, this study is to clarify the role of advertisement properties and the application tendency of it through the case study of the magazines for woman in Korea, and to analyze the relationship among the characteristic of manufactured goods for advertising, visual effects, copy-writing and the advertisement properties. The results of the study are as follows ; 1 . It is important to choose the discriminative property compared to the competitive company and to consider the purpose of advertisement from the beginning of idea developing. 2. Leading the photo artist to the photo working corresponding to the purpose of advertisement is critical point in advertisement design process. 3. After the photographing, it should be investigated from the designer's point of view. The presentation strategies on the application of advertisement properties are as follows, ·Conform the subject of advertisement massage. ·Choose the advertisement properties considered the relationship between manufactured goods for advertising and properties. ·Consider the properties as the supporting tool in bringing manufactured goods for advertising into relief. The pertinent application of advertisement properties is able to attract public attention and to increase the worthy of advertisement. Therefore, the prudent trial and experiment on it is needed.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1330-1336
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• 2009

게임의 교육적 목적으로의 활용에 대해 관심이 늘고 있다. 이러한 흐름에도 불구하고 교육 분야에서 교육용게임의 채택은 더딘 편이다. 교육용게임의 채택과 확산을 위해서는 교육용게임을 교육을 위해 선택할 수 있는 정보를 학습자와 학부모, 교사들에게 제공해 주는 것이 중요하다. 교육용게임의 효과성평가는 게임의 교육적 효과 및 가능성을 알려줄 수 있기 때문에 교육용게임의 채택과 확산을 위한 중요한 역할을 할 수 있다. 하지만 기존의 효과성평가방법을 사용한 연구는 학부모와 같은 의사결정권자에게 신뢰받지 못하고 있어, 교육용게임의 확산에 도움을 주지 못하고 있다. 뿐만 아니라 기존모형을 사용한 효과성평가 결과는 개발자들에게 게임개선을 위한 자료로서 활용할 수 없게 되어 있어 개발을 위한 개선자료로서 활용하지 못하고 있다. 따라서 교육용게임을 확산시키기 위해서는 기존의 효과성 연구방법개선 또는 수정하는 것이 요구된다. 본 연구는 기존의 교육효과성모형을 교육용게임개발을 이루고 있는 두 이론적 배경인 게임설계이론과 학습이론에 근거하여 기존 효과성평가방법의 문제점을 살펴보고 두 이론에서 공통적인 요소를 도출하여 게임에서 학습결과와 과정을 모두 평가하는 개선된 평가모형을 제안하였다. 기존의 효과성평가가 단순히 학습량을 측정하여 단순하게 효과성의 유무만 보여주고 있다면, 개선된 모형은 효과성 유무와 함께 게임에서 학습의 과정을 보여줌으로서 게임의 관찰 가능한 효과성을 보여줌으로서 혁신의 확산을 촉진할 수 있는 지각된속성(Perceived Attributes)에 대한 정보를 효과성평가의 결과로서 제공할 수 있다. 본 연구는 기존의 모형을 학부모 교사와 같은 교육 분야의 사람과 게임기획자 와 같은 개발자가 모두 만족 할 수 있는 결과를 보여 주는 효과성평가 모형으로 개선하였다는데 의의를 둘 수 있다. 이러한 연구를 통해 교육현장에서 교육용게임의 채택과 확산에 기여 할 수 있을 것으로 기대된다.