• Journal of Distribution Science
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• v.11 no.2
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• pp.71-81
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• 2013

Purpose - The TOEIC test has been leading the change in the quality and the globalization of companies for about last 30 years. The TOEIC test is taken by about two million people each year and is used as a criterion to select new employees in companies or government offices, for performance ratings, and for overseas posting selections. Universities also use TOEIC test in various ways. Since the TOEIC test is used for the selection of new students for admission, transferring extra credits, scholarships, graduation certification, and admission of international students studying abroad, many universities all over the country provide students with TOEIC study lectures through their own language institutes. Despite the fact, there has been no research on the service quality or even the current situation of these institutes. Thus, this study aims to evaluate the factors that impact TOEIC lecture service quality and analyzes the effect of the expectation related to the education service quality and the result of education on intentional behavior. Research design, data, methodology - Data was collected by administering a survey to current TOEIC students from different university language institutes. The survey questionnaire comprised of a five-point Likert scale. The demographic analysis was conducted using the frequency analysis method and the factor analysis was conducted to verify the validity of questionnaire over any variable. The reliability analysis was conducted to verify the reliability of the results. Besides, multiple regression analysis, regression analysis, and mediated effect verification were also conducted. For education service quality, four different independent variables such as reliability, response, conviction, and sympathy were considered using the SERVQUAL survey model. Based on the research models, the study hypotheses below were formulated in order to recognize an effect relationship between the variables. The four hypotheses are, "the hypothesis on education service quality and TOEIC study result expectation," "the hypothesis on education service quality and behavioral intention," "the hypothesis on study result expectation and behavioral intention," and "the hypothesis on study result expectation and mediated effect." Results - The results are as follows. First, the factors like response, conviction, and sympathy have a positive influence on TOEIC study result expectations. Second, the TOEIC study result expectation has a positive influence on the factors of behavioral intention such as re-sign up, positive word-of-mouth, "loyalty towards school." Third, it was verified that the mediated effect on behavioral intention was influenced by education service quality at university foreign language institute, while the study result expectation has only a partial mediated effect. Conclusions - The implications of this study are summarized as follows: First, it suggests a new research model for the effect of the expectation related to the education service quality and the result of education in the university language institutes on the behavioral intention. Second, it has established a relationship between the education service quality and study result expectation by verifying the mediated effect on them.

• Korea Journal of Hospital Management
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• v.7 no.4
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• pp.57-101
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• 2002

These days, the environment of hospital marketing is changing rapidly. The level of expectation and demand of patients have become greater and more diversified, and patients have more alternatives in selecting hospitals. The standard of hospital selection and the type of using hospital have been changed, and competition among hospitals has been accelerated due to the opening of the medical market through globalization. Accordingly, differentiation strategies are critical in hospital marketing. The quality of medical service oriented toward patient satisfaction becomes a strong strategic weapon to secure a hospital's competitive advantage. Therefore, marketing and communication strategies should be focused on patient-oriented, rather than hospital-oriented. Considering the changes in the hospital environment and the increase in the patients' expectation level, this study categorizes doctors' communication styles into four different ones: trust-type, professional-type, cooperation-type, and control-type. The effects of these communication styles on patient satisfaction were empirically examined. The moderating roles of the patient's characteristics and clinical characteristics between the doctors' communication styles and patient satisfaction were also investigated to find out managerial implications for hospital management. To achieve such goals, data were collected from patients of 12 general hospitals in Busan. The data were analyzed to test research hypotheses that examine 1) the relationships between doctors' communication styles and patient satisfaction, 2) the moderating roles of the patient characteristics and clinical characteristics in the research model, and 3) the impact of patient satisfaction on positive word-of-mouth and repurchase. The following summarizes the major results of this research. First, the data showed that patient satisfaction varied across doctors' communication styles. Trust-type style had the strongest impact on patient satisfaction while control-type style had the weakest influence on patient satisfaction. Professional-type style and cooperation-type style also had positive effects on patient satisfaction but the impact of the two are not statistically different. Second, significant differences in terms of patient satisfaction were found depending upon demographic variables such as gender, marital status, age, occupation, and education. Patient satisfaction, however, was consistent across varying income groups. Third, patients' medical insurance types were also related to patient satisfaction. It implies that a doctor may need to use different communication styles depending on a patient's medical insurance type. Fourth, out-patient and in-patient showed a different level of satisfaction with varying communication styles. Fifth, highly professional knowledge and strong control can influence patient satisfaction depending on the characteristics of the patient treatment field. Sixth, patient satisfaction were proved to have significantly positive effects on word-of-mouth and repurchase. The implications drawn from this study must be tempered by its limitations. First of all, the subjects used in this study were patients in Busan and small- and medium-size hospitals were excluded from the research. Therefore, future research should examine the research model by using a variety of hospitals and clinics throughout Korea. Another research agenda has to do with finding more determinant and moderating variables which will increase an explanatory power of the model. In short, this study may be the first empirical research that investigates the effects of doctors' communication styles on patient satisfaction. Interestingly enough, the results showed that each communication style had a unique impact on patient satisfaction. The findings from this research can be very useful in developing hospital marketing strategies.

• Smart Media Journal
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• v.11 no.10
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• pp.89-96
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• 2022

An open domain machine reading comprehension is a model that adds a function to search paragraphs as there are no paragraphs related to a given question. Document searches have an issue of lower performance with a lot of documents despite abundant research with word frequency based TF-IDF. Paragraph selections also have an issue of not extracting paragraph contexts, including sentence characteristics accurately despite a lot of research with word-based embedding. Document reading comprehension has an issue of slow learning due to the growing number of parameters despite a lot of research on BERT. Trying to solve these three issues, this study used BM25 which considered even sentence length and InferSent to get sentence contexts, and proposed an open domain machine reading comprehension with ALBERT to reduce the number of parameters. An experiment was conducted with SQuAD1.1 datasets. BM25 recorded a higher performance of document research than TF-IDF by 3.2%. InferSent showed a higher performance in paragraph selection than Transformer by 0.9%. Finally, as the number of paragraphs increased in document comprehension, ALBERT was 0.4% higher in EM and 0.2% higher in F1.

• Journal of Korean Home Economics Education Association
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• v.36 no.1
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• pp.39-54
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• 2024

This study analyzed Naver, Daum, Google, YouTube, and Twitter using TEXTOM for two years and four years as of January 18, 2020. The results are as follows. First, the total number and volume of keyword search data related to youth and diet were slightly higher after COVID-19, showing that interest increased due to COVID-19. Second, as a result of frequency analysis, 'education' was the highest before COVID-19, and 'health' was the highest after COVID-19, showing that interest in health is increasing due to the increased importance of health and immunity due to COVID-19. Third, as a result of frequency weight analysis of the top 50 keywords, 'education' showed the highest frequency before COVID-19, and 'acne' after COVID-19. Fourth, the results visualized using word cloud showed that the keywords 'education' before COVID-19 and 'health' after COVID-19 appeared the largest and boldest, showing the highest frequency and importance. As a result of the above results, we were able to use the text mining method to apply it to eating habits, and we used materials visualized as a highly readable word cloud in units such as eating problems in adolescence and balanced meal planning and selection in the home economics curriculum to improve the teaching of the class. The direction of proper eating habits education, including using it as a medium, was presented.

• Korean Journal of Culture and Social Issue
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• v.23 no.1
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• pp.1-24
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• 2017

This article aimed to test whether specific social values (i.e., achievement vs. benevolence) could cause changes in decision making on bio-ethical issues. Study 1 investigated value preferences among young Korean college students according to Schwartz's (1992) model of social values. According to the results, the preference for achievement value was correlated negatively with the preference for benevolence value. In Study 2, following a sentence completion task which was conducted to trigger specific values, the participants had to indicate their ethical decisions regarding animal experiment, euthanasia, organ transplantation, biotechnology, sex selection and human cloning, Irrespective of the value priming (achievement vs. benevolence), there were more utilitarian decisions about animal experiment, euthanasia and organ transplantation. In contrary, there were more deontological decisions about sex selection and human cloning. Study 3 introduced a word completion task to assess implicit value preferences. The results showed that the participants with implicit preferences for the benevolence value in the condition of benevolence value priming were more frequently against animal experiments and organ transplantation than those with implicit value preferences for the achievement value. Social values are discussed for understanding one's bioethical decision making.

• Journal of IKEEE
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• v.8 no.2 s.15
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• pp.186-194
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• 2004

Due to the exponential growth of information on the internet, it is getting difficult to find and organize relevant informations. To reduce heavy overload of accesses to information, automatic text classification for handling enormous documents is necessary. In this paper, we describe structure and implementation of a document classification system for web documents. We utilize SVM for documentation classification model that is constructed based on training set and its representative terms in a directory. In our system, SVM is trained and is used for document classification by using word set that is extracted from information and communication related web documents. In addition, we use vector-space model in order to represent characteristics based on TFiDF and training data consists of positive and negative classes that are represented by using characteristic set with weight. Experiments show the results of categorization and the correlation of vector length.

• The Research Journal of the Costume Culture
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• v.28 no.2
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• pp.229-244
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• 2020

The purpose of this study was to develop a lifestyle scale for one-person hair salon users and to identify differences in store choice factors and hairstyle pursuit behaviors according to lifestyle types. Data was collected by survey, with 225 responses being included in the analysis. Data analysis was performed using cross-analysis, factor analysis, Cronbach's α, cluster analysis, ANOVA and the Duncan-test using SPSS 23.0 analysis software. The results of the study were as follows. First, one-person hair salon users were classified according to the following lifestyle groups: The rational appearance management group, the passive appearance management group, and the discriminative appearance management group. Second, store choice factors according to lifestyle group showed significant group-specific differences in relation to store atmosphere, accessibility, and promotion. Conversely, comfort of space in store and word-of-mouth recommendation message were high for all three groups, indicating that these are important factors in relation to store selection. Third, with regard to hairstyle pursuit behaviors according to lifestyle, the discriminative appearance management group showed the same characteristics as high involvement groups that regard all dimensions of hairstyle pursuit behavior as important. The results of this study can be used to suggest efficient operations for one-person hair salons and to suggest differentiated marketing strategies to increase the demand of one-person hair salon users.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.346-348
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• 2004

In this rarer, we introduce a new Fuzzy Polynomial Neural Networks (FPNNs)-like structure whose neuron is based on the Fuzzy Set-based Fuzzy Inference System (FS-FIS) and is different from that of FPNNs based on the Fuzzy relation-based Fuzzy Inference System (FR-FIS) and discuss the ability of the new FPNNs-like structurenamed Fuzzy Set-based Polynomial Neural Networks (FSPNN). The premise parts of their fuzzy rules are not identical, while the consequent parts of the both Networks (such as FPNN and FSPNN) are identical. This difference results from the angle of a viewpoint of partition of input space of system. In other word, from a point of view of FS-FIS, the input variables are mutually independent under input space of system, while from a viewpoint of FR-FIS they are related each other. In considering the structures of FPNN-like networks such as FPNN and FSPNN, they are almost similar. Therefore they have the same shortcomings as well as the same virtues on structural side. The proposed design procedure for networks' architecture involves the selection of appropriate nodes with specific local characteristics such as the number of input variables, the order of the polynomial that is constant, linear, quadratic, or modified quadratic functions being viewed as the consequent part of fuzzy rules, and a collection of the specific subset of input variables. On the parameter optimization phase, we adopt Information Granulation (IG) based on HCM clustering algorithm and a standard least square method-based learning. Through the consecutive process of such structural and parametric optimization, an optimized and flexible fuzzy neural network is generated in a dynamic fashion. To evaluate the performance of the genetically optimized FSPNN (gFSPNN), the model is experimented with using gas furnace process dataset.

• Science of Emotion and Sensibility
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• v.10 no.2
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• pp.209-220
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• 2007

The purpose of this study is to investigate the words that represent the human sensibility for the water space. The selection of certain words for human sensibility valuation is very important things because of make standard for human sensibility valuation in water bodies. At the first step of the research, 129 words were collected from the subjects by imagination in group of specialist, studies on water space, studies on landscape valuation and studies on human sensibility valuation in out door environmental. At the second step, the suitability test was done and 39 words collected over an average 3.5 point. This words test was 5 point measure to similarity water bodies. At the third step, the factor analysis, cluster analysis, Multi Dimensional Scaling was performed on data, and 9 words were selected from the analysis. Finally, selected comfortable words for human sensibility valuation in water space is hands-on experience, natural, sensibility, harmony, clear, good-feeling, dynamic, free-heart, romantic. The significance of the present study is that it contributes the progress of uncovering the axis of the human sensibility by carefully selecting the words that represent the human sensibility.

• Korean Institute of Interior Design Journal
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• v.19 no.4
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• pp.3-10
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• 2010

The purpose of this study is to select and analyze words that represent various emotional states towards a spatial environment. Selecting appropriate words for the sensibility evaluation of a spatial environment is a process of constructing sensibility indicators, so that an accurate selection of sensibility words is very important. To collect basic words for this study, words for expressing sensation, emotional states, and sensibility regarding a spatial environment have been collected first via free association and a literature review of previous studies. In the second stage, the selected words are refined. Fifteen evaluators have participated in the first process of refining words, 140 college students participated in the second process, and than the final list of 277 refined words has been selected. During the third stage, 15 specialists were asked to evaluate the appropriateness of sensibility evaluation words, for that 7 point-scale has been applied. Then, 99 words with an average point of 4.55 or more and a standard deviation of 1.55 or lower were selected. After investigating the similarity in the meanings of the selected words, 55 pairs of contrasting words have been selected as a final list of sensibility evaluation words. During this last stage, 307 college students majoring in related fields were asked to evaluate the appropriateness of sensibility evaluation words for a spatial environment, and 7 point-scale was obtained. A factor analysis, cluster analysis, and multidimensional analysis have been conducted on the data obtained from these survey. According to the results of the factor analysis, the eight important factors are obtained from the sensibility evaluation criteria of a spatial environment(form, texture, function, value, comfort, aesthetics, atmosphere, and affinity). The factors obtained from this study can be used in the beginning stage of evaluating the sensibility factors of a spatial environment. In addition, the results of this study can be used as basic data when constructing a list of evaluation indicators to select various complex sensibility words for a space; or as general indicators when evaluating various spatial design factors.