• Journal of the Korean Society of Food Culture
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• v.21 no.5
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• pp.507-515
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• 2006

This study was to analyse the eating out behaviors of customers who visit a Koran restaurant especially focused on CNR(cold noodle: naengmyun restaurant) and to find out the marketing promotion points. Through the snowball sampling, 423 customers data were surveyed in summer and winter as respects of seasonal variation. The collecting data were analysed descriptive data and statistical different using the Statistical Package for the Social Science(SPSS version 10.0). The results were as follows; The participants of the study were composed of 209 man(49.4%) and 204 woman(50.6%). Most customers were 30's(36.2%), office worker(27.5%) and spend 5,000${\sim}$10,000 won(46.3%) for eating out. The consumer more preferred a specialty restaurant, the reason was to expect better taste(37.1%). In visiting CNR, the customer frequently ordered complement menu(90.1%) with cold noodle, complement menu should be developed periodically. The important factor to visiting CNR was the accessing convenience for the shop and desirable taking time was within 15 minutes. The buckwheat noodle in broth(mulnaengmyun) was the most favorite selecting menu. And the noodle texture was key evaluation factor in all types of cold noodle and the other factor was different according to the types of cold noodle. The visiting frequencies of CNR were not significantly different according to seasonal variation and sociodemographic variable. Above the half of customers visited at CNR with his/her family. This study find out the suggestion that consumer eating concepts about CNR was family eating therefore the cold noodle. specialty restaurant should be create more delight atmosphere and developed menu for families' eating out place.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.12
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• pp.1772-1783
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• 2007

This study aimed to investigate differences in the purchasing patterns of and the levels of satisfaction with cosmetic products, and the method of disposing dissatisfied cosmetics for female university students among China, Japan and Korea. Survey was conducted with 1,200 female coeducational university students in Beijing, Tokyo and Seoul and 1,115 were used for the data analysis. Data were analysed by frequency analysis, Cronbach's ${\alpha}$, chi-square analysis, analysis of variance, Duncan's Multiple Range test. The results showed significant differences in purchasing behaviors in China, Japan and Korea. Japanese students mainly got information through objective sources, while Koreans did so through human network. Regrading the evaluative criteria for basic care items, function and effect were the most important criteria for Chinese and Korean consumers and skin compatibility for Japanese. For color make-up, Chinese, Japanese and Korean respondents respectively cared the most on brand image, convenience of purchase and the current trend. Chinese tended to shop cosmetics at department stores due to store reputation, Japanese preferred supermarkets and pharmacies and Koreans shopped at discount stores for low price. The most influential human sources were friends and colleagues for Chinese and Korean, and models on advertisements and magazines for Japanese. Korean respondents displayed the highest level of satisfaction with cosmetics followed by Japanese and Chinese. As for the methods of disposing dissatisfactory cosmetics, Chinese were the most active in exchanging for other product; Japanese and Korean were not likely to use or throw the products away.

• Journal of the Korean Society of Food Culture
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• v.12 no.5
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• pp.495-508
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• 1997

The purpose of this study is to investigate the dietary patterns and behaviors of self-boarding college students in Wonju. This survey was carried out through questionnaries and the subjects were 118 man and 145 woman students of five colleges in Wonju. The results of this study were summarized as follows: 1. The students who live in Kangwon Province, reaching 49.0% of the subjects, are the most prevalent. In the frequency of homecoming, 'twice a month' is the greatest. One-room system is the most prevalent in the self-boarding patterns. 2. 90.8% of the students have the electric rice cooking pot. Portable gas range, gas range, electric stove, in this order, are more general as cooking appliances. Specially, more than half of students, either male or female, have refrigerators. 3. 80.4% of students cook their own meal. 'once a day' in cooking frequency is the most prevalent. 4. The students, either male or female, prepare breakfast and dinner for themselves at home, and have lunch at the school cafeteria. They choose boiled rice mostly at any mealtime. 5.In the frequency of drinking, 'three times a week' in man students and 'two or three times a month' in woman students are the most prevalent. The drink shop and their own self-boarding room are most preferred as the place for drinking in the both case of male and female. 6. In the quantity of drinking of male students, 'more than three bottles of Soju', 'two bottles of Soju', and 'one bottle of Soju', in this order, are recorded more frequently and in the case of female students, comes 'one bottle of Soju' and 'one bottle of beer' in that order. 7. Male students drink to have a dim consciousness and female students to feel good. In this case there are differences. 8. After drinking in the previous night, more female students have a breakfast than male. While more female students have any kind of food, most of male students have a broth to relieve hangover or ramyun. 9. The causes for no breafast after drinking were 'rising late', 'stomachache', 'habits' in this cider. 10. After students self-examine their own health, they express their health state as 'usual', 'very healthy' 'not healthy' in this order. Most of male and female students point out the stomach as a painful part.

• Journal of Korean Society of Rural Planning
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• v.20 no.4
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• pp.253-262
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• 2014

This, an association research for design-improvement and model-development of exhibition shops at rural tourism communities, is to secure objective data by analyzing customers' awareness-tendency of and demand for agricultural-specialty exhibition shops. Survey-questions for finding out consumers' awareness-tendency and demand were determined through brainstorming of a professional council, 30 rural communities of which visit-rate by consumers is considerably high were selected for the recruit of 200 consumers. For investigation and analysis, survey and in-depth interview were carried out at the scene with the application of frequency analysis and summarization of their opinions, which revealed that they have a strong will to visit the rural tourism communities for the purchase of agricultural specialties along with the experience of learning-program and on-the-scene direct dealing and that their viewpoint on the direct dealing at the scene was very positive. Also it was confirmed hat their satisfaction with the purchase of agricultural specialties by on-the-scene direct dealing, their pleasure at the purchase, their satisfaction with services and their intention for re-purchase of them were very high while their satisfaction with the exhibition shops was very low. With on-the-scene survey, the consumers' opinions could be listened to in depth. Almost all of them said their satisfaction with the trip to those rural tourism communities was considerably high since they could go to those communities themselves to relieve the stress from their modern life, to experience healing and to see the goods on the scene. Their satisfaction also was attributed to the fact that they have enough trust in purchase along with feeling the warm-heartedness of rural residents. As to their awareness of exhibition shops, they showed a positive response to the on-the-scene direct dealing at rural communities while they, thinking that the space in those exhibition shops was not sufficiently wide, demanded for more systematic counters in more accessible and affordable exhibition shops so that they might be more satisfied with the exhibition shops. Their demand for the necessity of exhibition shops selling agricultural specialties was found to be over 80%, which indicates that the necessity is very high. As to the suitability of function, they have the opinion that the business at those shops had better be focused on sales since they have the understanding of information when they take a trip to the rural communities, while there was another opinion: since agricultural products are seasonal items they should be exhibited and sold at the same time. More than 90% of the respondents had a positive viewpoint on direct dealing of agricultural specialties on the scene, which showed that their response to it was very high. They preferred the permanent shops equipped with roll-around table-booths. In addition, it was revealed that they want systematic exhibition shops in rural communities because they frequent those communities for on-the-scene direct purchase. The preferred type and opinion resulting from estimation of consumers' demands have been reflected for development of practical designs. The structure of variable principles has been designed so that the types of display-case and table-booth might be created. The result of this study is a positive data as a design model which can be utilized at rural communities and will be commercialized for the verification of its validity.

• Journal of Practical Agriculture & Fisheries Research
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• v.3 no.1
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• pp.142-157
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• 2001

This study was conducted to get the basic information for promoting farm machinery productivity by surveying the regular maintenance and repair status of major farm machinery such as power tiller, farm tractor, rice transplanter and combine harvester. The survey was carried out through 9 provinces including Cheju province by direct visiting farmers with prepared questionnaire. The results of this study can be summarized as follows : 1. The average farming carrier of the surveyed farmers was 25.3 years, and 21-30 years of farming carrier showed the highest portion as 40.7%. The average carrier of using farm machinery was 9.4 years, and that was 14.9 years for power tiller, 8.3 years for farm tractor, 9.0 years for rice transplanter, 7.9 years for combine harvester, 7.5 years for mini tiller, 9.7 years for power sprayer, and 8.2 years for binder etc. 2. The regular maintenance for farm machinery was conducted mainly at repair shop (49.5%) or dealer agency (12.0%) as 61.5%, and 34.9% of farmers conducted the regular maintenance by themselves at their house. 3. The reasons for not-fully recognizing operation manual and insufficient before-, during-, after-maintenance of farm machinery were insufficient time for them (45.8%), troublesome (22.9%), unknown maintenance method (16.3%), unknown the necessity for maintenance (12.4%), and others (2.6%) in order. 4. For the annual exchange of engine oil, 3.2 times is necessary but actually 1.7 times was exchanged for power tiller, 4.3 times is necessary but actually 1.9 times was exchanged for farm tractor, 2.7 times is necessary but actually 1.7 times was exchanged for rice transplanter, 2.2 times is necessary but actually 2.3 times was exchanged combine harvester. 5. For the annual cleanness or exchange of fuel filter, 3.2 times is necessary but actually 1.1 times was done for power tiller, 4.3 times is necessary but actually 1.6 times was done for farm tractor, 2.7 times is necessary but actually 1.7 times was done for rice transplanter, 1.9 times is necessary but actually 0.8 times was done for combine harvester. 6. For the annual cleanness or exchange of air filter, 3.2 times is necessary but actually 1.4 times was done for power tiller, 4.2 times is necessary but actually 2.4 times was done for farm tractor, 2.6 times is necessary but actually 1.6 times was done for rice transplanter, 3.9 times is necessary but actually 7.0 times was done for combine harvester. 7. For the experience of breakdown related to maintenance, 5.3% of farmers experienced breakdown due to the insufficient exchange of engine oil, 7.7% of farmers experienced breakdown due to the insufficient cleanness or exchange of fuel filter, and 2.9% of farmers experienced breakdown due to the insufficient cleanness or exchange of air filter. 8. Most farmers (76.1%) recognized the necessity for agricultural machinery training or education, and most farmers preferred about one week for the training period, simple or ease maintenance for the training level, agricultural technical center or agricultural machinery manufacturer for the training agency. 9. Complete recognition of operation manual and sufficient before-, during-, and after-maintenance for farm machinery can minimize the breakdown as well as conduct suitable period farming, enlarge the endurance, prevent the safety accidents, and promote productivity of farm machinery. Therefore, these can be accomplished by the thorough training or education for agricultural machinery.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.123-145
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• 2008

Recently, as the information communication technology develops, the discussion regarding the ubiquitous environment is occurring in diverse perspectives. Ubiquitous environment is an environment that could transfer data through networks regardless of the physical space, virtual space, time or location. In order to realize the ubiquitous environment, the Pervasive Sensing technology that enables the recognition of users' data without the border between physical and virtual space is required. In addition, the latest and diversified technologies such as Context-Awareness technology are necessary to construct the context around the user by sharing the data accessed through the Pervasive Sensing technology and linkage technology that is to prevent information loss through the wired, wireless networking and database. Especially, Pervasive Sensing technology is taken as an essential technology that enables user oriented services by recognizing the needs of the users even before the users inquire. There are lots of characteristics of ubiquitous environment through the technologies mentioned above such as ubiquity, abundance of data, mutuality, high information density, individualization and customization. Among them, information density directs the accessible amount and quality of the information and it is stored in bulk with ensured quality through Pervasive Sensing technology. Using this, in the companies, the personalized contents(or information) providing became possible for a target customer. Most of all, there are an increasing number of researches with respect to recommender systems that provide what customers need even when the customers do not explicitly ask something for their needs. Recommender systems are well renowned for its affirmative effect that enlarges the selling opportunities and reduces the searching cost of customers since it finds and provides information according to the customers' traits and preference in advance, in a commerce environment. Recommender systems have proved its usability through several methodologies and experiments conducted upon many different fields from the mid-1990s. Most of the researches related with the recommender systems until now take the products or information of internet or mobile context as its object, but there is not enough research concerned with recommending adequate store to customers in a ubiquitous environment. It is possible to track customers' behaviors in a ubiquitous environment, the same way it is implemented in an online market space even when customers are purchasing in an offline marketplace. Unlike existing internet space, in ubiquitous environment, the interest toward the stores is increasing that provides information according to the traffic line of the customers. In other words, the same product can be purchased in several different stores and the preferred store can be different from the customers by personal preference such as traffic line between stores, location, atmosphere, quality, and price. Krulwich(1997) has developed Lifestyle Finder which recommends a product and a store by using the demographical information and purchasing information generated in the internet commerce. Also, Fano(1998) has created a Shopper's Eye which is an information proving system. The information regarding the closest store from the customers' present location is shown when the customer has sent a to-buy list, Sadeh(2003) developed MyCampus that recommends appropriate information and a store in accordance with the schedule saved in a customers' mobile. Moreover, Keegan and O'Hare(2004) came up with EasiShop that provides the suitable tore information including price, after service, and accessibility after analyzing the to-buy list and the current location of customers. However, Krulwich(1997) does not indicate the characteristics of physical space based on the online commerce context and Keegan and O'Hare(2004) only provides information about store related to a product, while Fano(1998) does not fully consider the relationship between the preference toward the stores and the store itself. The most recent research by Sedah(2003), experimented on campus by suggesting recommender systems that reflect situation and preference information besides the characteristics of the physical space. Yet, there is a potential problem since the researches are based on location and preference information of customers which is connected to the invasion of privacy. The primary beginning point of controversy is an invasion of privacy and individual information in a ubiquitous environment according to researches conducted by Al-Muhtadi(2002), Beresford and Stajano(2003), and Ren(2006). Additionally, individuals want to be left anonymous to protect their own personal information, mentioned in Srivastava(2000). Therefore, in this paper, we suggest a methodology to recommend stores in U-market on the basis of ubiquitous environment not using personal information in order to protect individual information and privacy. The main idea behind our suggested methodology is based on Feature Matrices model (FM model, Shahabi and Banaei-Kashani, 2003) that uses clusters of customers' similar transaction data, which is similar to the Collaborative Filtering. However unlike Collaborative Filtering, this methodology overcomes the problems of personal information and privacy since it is not aware of the customer, exactly who they are, The methodology is compared with single trait model(vector model) such as visitor logs, while looking at the actual improvements of the recommendation when the context information is used. It is not easy to find real U-market data, so we experimented with factual data from a real department store with context information. The recommendation procedure of U-market proposed in this paper is divided into four major phases. First phase is collecting and preprocessing data for analysis of shopping patterns of customers. The traits of shopping patterns are expressed as feature matrices of N dimension. On second phase, the similar shopping patterns are grouped into clusters and the representative pattern of each cluster is derived. The distance between shopping patterns is calculated by Projected Pure Euclidean Distance (Shahabi and Banaei-Kashani, 2003). Third phase finds a representative pattern that is similar to a target customer, and at the same time, the shopping information of the customer is traced and saved dynamically. Fourth, the next store is recommended based on the physical distance between stores of representative patterns and the present location of target customer. In this research, we have evaluated the accuracy of recommendation method based on a factual data derived from a department store. There are technological difficulties of tracking on a real-time basis so we extracted purchasing related information and we added on context information on each transaction. As a result, recommendation based on FM model that applies purchasing and context information is more stable and accurate compared to that of vector model. Additionally, we could find more precise recommendation result as more shopping information is accumulated. Realistically, because of the limitation of ubiquitous environment realization, we were not able to reflect on all different kinds of context but more explicit analysis is expected to be attainable in the future after practical system is embodied.