• Korean journal of food and cookery science
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• v.21 no.5
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• pp.637-646
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• 2005

The objectives of this study were, 1) to investigate the perception and preference for Japanese chain restaurants due to demographics and consumption behaviors, and 2) to research improvements for Japanese chain restaurants according to the customers' dissatisfaction. Frequency analysis and one-way ANOVA were used to analyze the data. Three hundred questionnaires were distributed and 254 were returned(84.66%). The customers' perception and preference about Japanese chain restaurants were significantly related with each other. The differences of perception and preference due to demographics and consumption behaviors were significant. The most dissatisfied selection attributes were price, number of Korean dishes, number of branch offices, and advertisements, in order. From examining the progressive circmnstances of Korean food-service industry and the social trends toward a preference for healthy, special ethnic food and dishes for diet control and high protein-low fat, it is apparent that food-service businesses related to Japanese food have the potential for success. The results of this study should provide valuable information for administrators and managers in the hospitality industry.

• Journal of Korean Society for Quality Management
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• v.40 no.1
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• pp.25-38
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• 2012

Service FMEA may yield several possible corrective actions for each failure mode with large RPN. Corrective actions for each service failure are usually interrelated with the customers and environmental elements of the service system. SWOT analysis can provide an effective way to analyze the inner and outer environmental impacts for each corrective action. In this paper, we suggest a way for selecting and ranking corrective strategy in service operation based on SWOT analysis. Every candidate of corrective action strategy is ranked and evaluated on the basis of the impact factors of the SWOT variables, correlations between possible corrective actions and SWOT variables, and RPNs of service failures. The most desirable set of corrective actions is selected considering the preference score of each corrective action, required resources and budgetary allowance. The proposed methodology is demonstrated with an illustrative example.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.1-20
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• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• Korean Journal of Social Welfare
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• v.53
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• pp.105-128
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• 2003

This study examined the factors affecting family caregiver's preference for utilization of community care services among those who are caring for 65+ elderly parents, and aimed to show how social eldercare services would be settled in Korea. Help-seeking behavior model developed by Anderson and Newman(1973) was used to analyze the factors affecting their preference for utilizing the community care service among 283 family caregivers. Frequency, Chi-square, and Multinominal logistic analysis on SAS 6.12 was used. According to the results, about 90% of the family caregivers have preference for community and institute care services. In community care service, about a half comprise the preference with charge while the other without charge. However, about 90% of those for institute care service show their willingness to pay for the service. Also, a majority of caregivers like to rely on social eldercare service, rather than family as exclusively responsible, against long-term care for their elderly parents. Multinominal analysis demonstrates that use versus nonuse of community care services is primarily affected by predisposing factors(including age, carer-caree closeness, and familism) and need factors (including economic or psychological burden of eldercare, and additional role for family care). Enabling factors, such as family income level, economic support from other family members and siblings, and supportive care-helpers, are mainly associated with the preferences of free versus charge in service use. These findings provide some implications and suggestions for the development of social eldercare services in our aging society.

• Journal of Fashion Business
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• v.14 no.6
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• pp.170-187
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• 2010

This paper is to analyze the effect of demographic factors on children' wear buying pattern, media and information utilization, and design preference. A total of 355 usable data was collected from house wives in three metropolitan cities(Seoul, Daejon, Bundang) in Korea. Correlation analysis showed that there were statistically significant correlation between demographic factors and clothing buying behavior, information utilization, and design preference. Also, Regression results showed that 8 Demographic Factors are significant predictors. The results with ANOVA showed that there were significant relationships between PURCHASE OCCASION and DISPLAY INFORMATION UTILIZATION, and showed that there were significant relationships (F=28.625, p=<.001) between PURCHASE MOTIVATION and SALES PERSON ADVICES UTILIZATION. Thus, both visuality and friendliness of service were affected by consumers. Considering the increasing importance of service quality in the retail VMD, sale promotion should be enhanced and sale person is needed to be trained to be friendly to all consumers regardless of product composition

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.183-193
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• 2006

This paper suggests a service model which uses a wireless sensor network in home network environment. The sensor network consists of fixed sensor nodes and user identification nodes which is attached to each user. With the input information of the user preference profile and the collected data from the sensor nodes, the database is constructed as a context information and analyzed by a home server to provide a service that establishes and controls automatically home appliances according to each user's preference. The proposed service model is implemented and tested on a Linux server with MySQL database and sensor nodes on TinyOS.

• Journal of Internet Computing and Services
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• v.10 no.4
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• pp.161-176
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• 2009

As the Internet has been growing, WWW(World Wide Web) based services were popularized and users using the service were increased excessively. To support these environments, a processing of many transactions became an essential consideration. There are many researches regarding the user profiling on web services to support those transactions effectively. Most of them are just for grasping the comsumer's preferences. However, a trend of recent web service is not limited what they are doing between consumers and providers; a consumer can become a provider and also a provider can become a consumer virtual open environments such as open market on the internet. For this reason, it is necessary to inspect a preference of consumers as well as providers one. In this paper, we proposed personal preference tree(PPT) reflecting the preferences for providers and implemented the module applying to the web service, and evaluated the applicability the personal preference module through a simulation.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.61-72
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• 2008

The purpose of this study was to analyze the difference in preference and property of native local foods among students living in Busan. It concentrated on the students who were majored in food service in five universities in Busan. From September 1st to 30th, 2007, 300 copies of questionnaire were distributed and 260 returned were included in the statistics. The statistics was conducted by frequency analysis, T-test(average deviation verification), technical analysis and one way ANOVA for an accurate result of the study. As a result, it was found that Gayamilmyeon(M=4.42) showed the most preference for 25 native local foods of Busan(sansungmakgeoli, dongraepajeon, steamed carp, catfish soup, corbicula soup, roasted eel, gijang raw hairtail, dongrae mugwort cake, sansung roasted goat, gijangkkomjangeo, steamed frogfish, duck dish, guponoodles, gayamilmyeon, sliced raw fish, molsim hot-pepper fish stew, hairtail stew, anchovy stew, miyeoksulchi, gompi salted dish, salted raw anchovy dish, roasted kkomjaneo, salted sliced persimmon dish, salted bean leave dish, kkasiri soup). On the other hand, it was found that Miyeoksulchi(M=2.66) showed the least preference among them. As a result of the analysis of the difference in demographic characteristics and property of native local foods, it was presented that there was no difference in the statistical analysis by sex but significant difference in taste, quantity, service, price, freshness, sanitation, packing condition and originality, etc by age, department, academic year, type of residence, family member, living period in Busan and monthly spending. It was considered to conduct a more in-depth study to promote native local foods and interest in the food of Busan in university students.

• Journal of the Korean Dietetic Association
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• v.11 no.3
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• pp.320-330
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• 2005

The purpose of the study was to assess students’preferences on vegetarian menus served at middle and high schools. Four school food service programs that served primarily vegetarian menus were located in Seoul, Kyunggi, Kangwon, and Choongnam provinces. A total of 100 menu items frequently served at the schools were identified. Students participating in the school meals programs were asked to assess their preferences of the menus using a 5-point Likert-type scale(1 : very dislike - 5 : very like). Excluding responses with significant missing data, usable responses were 659. Statistical analyses were performed with descriptive statistics, t-tests, and one-way analysis of variance. Menu items of the highest preference scores included kimchi stew, stir-fried kimchi, nangmyon(cold noodles), fried rice and kimchi, miso stew, soft tofu stew, and hard-boiled quail eggs in soy sauce. By menu category, one-dish foods(3.97) were the most preferred and muchim and namul were the least preferred. Female students showed higher preferences on kimchi, steamed items(jjim), stir-fried items, namul, and muchim than male students; middle school students’preference scores were higher than those of the high school students in most menu categories. The menu preference is known as one of the most important factors determining students’food consumption and satisfaction with school food service. Dietitians working at school food service programs that serve primarily vegetarian menus should provide students with nutrition education on proper food selection and focus their efforts on developing new recipes using various vegetables and preparation methods to improve students’food consumption and menu preference.

• The Research Journal of the Costume Culture
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• v.14 no.6
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• pp.887-899
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• 2006

In this study the preference degree of a Dangcho pattern with priority given to demographic variables was examined. The results was that demographic variables have influence on the preference degree of a Dangcho pattern. The continual arrangement pattern of a stylistic type was shown as the pattern that men in their 40s and over most prefer. The continual arrangement pattern of a realistic type was shown as the pattern that men in their 40s and over and women in their 50s and over most prefer. The continual arrangement pattern of a geometrical type was shown as the pattern that men working on a sales, service, production position and women in their 50s most prefer. The single arrangement pattern of a stylistic type was shown as the pattern that college men in their 20s, men in their 50s and women working on a sales, production, service position most prefer. The single arrangement pattern of a stylistic type of a realistic type was shown as the pattern that men in their 40s working on a sales, service, production position and college women in their 20s most prefer. The single arrangement pattern of a geometrical type was shown as the pattern that most of people prefer.