• Journal of Korean society of Dental Hygiene
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• v.14 no.1
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• pp.9-15
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• 2014

Objectives : The purpose of the study was to investigate the influencing factors of major and university choice in the changing environments that kick out the insincere universities keeping pace with the national policy. Methods : A self-reported questionnaire was completed by 177 subjects after receiving informed consents. The questionnaire consisted of general characteristics, influencing factors on university and department choice including multiple application. Chi-square test was used for analysis of the difference between early and regular admission. Results : Employment was the most important reason for choice of dental hygiene department that accounted for 96%. The access route for university information was college homepage for entrance information that accounted for 72.3% and 76.3% of applicants were advised by their parents for their choice for university. The information was mainly composed of school life(92.1%) and employment (81.9%). The applicants wanted to meet the students(58.8%) and to come in contact with the university homepage(57.1%). Early and regular applicants differed in reasons for college entrance(p=0.032), information delivery for major(p=0.013) and multiple application for entrance(p<0.01). Conclusions : University homepage and communication with the students will give much information to the applicants. So the university had better choose the homepage and communication for marketing strategy.

• Asia Marketing Journal
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• v.15 no.3
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• pp.159-172
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• 2013

In the present study, we apply the multiple cue probability learning (MCPL) paradigm to examine consumer learning from feedback in repeated trials. This paradigm is useful in investigating consumer learning, especially learning the relationships between the overall quality and attributes. With this paradigm, we can analyze what people learn from repeated trials by using the lens model, i.e., whether it is knowledge or consistency. In addition to introducing this paradigm, we aim to demonstrate that knowledge people gain from repeated trials with feedback is robust enough to weaken one of the most often examined contextual effects, the asymmetric dominance effect. The experiment consists of learning session and a choice task and stimuli are sport rafting boats with motor engines. During the learning session, the participants are shown an option with three attributes and are asked to evaluate its overall quality and type in a number between 0 and 100. Then an expert's evaluation, a number between 0 and 100, is provided as feedback. This trial is repeated fifteen times with different sets of attributes, which comprises one learning session. Depending on the conditions, the participants do one (low) or three (high) learning sessions or do not go through any learning session (no learning). After learning session, the participants then are provided with either a core or an extended choice set to make a choice to examine if learning from feedback would weaken the asymmetric dominance effect. The experiment uses a between-subjects experimental design (2 × 3; core set vs. extended set; no vs. low vs. high learning). The results show that the participants evaluate the overall qualities more accurately with learning. They learn the true trade-off rule between attributes (increase in knowledge) and become more consistent in their evaluations. Regarding the choice task, there is a significant decrease in the percentage of choosing the target option in the extended sets with learning, which clearly demonstrates that learning decreases the magnitude of the asymmetric dominance effect. However, these results are significant only when no learning condition is compared either to low or high learning condition. There is no significant result between low and high learning conditions, which may be due to fatigue or reflect the characteristics of learning curve. The present study introduces the MCPL paradigm in examining consumer learning and demonstrates that learning from feedback increases both knowledge and consistency and weakens the asymmetric dominance effect. The latter result may suggest that the previous demonstrations of the asymmetric dominance effect are somewhat exaggerated. In a single choice setting, people do not have enough information or experience about the stimuli, which may lead them to depend mostly on the contextual structure among options. In the future, more realistic stimuli and real experts' judgments can be used to increase the external validity of study results. In addition, consumers often learn through repeated choices in real consumer settings. Therefore, what consumers learn from feedback in repeated choices would be an interesting topic to investigate.

• Korean Journal of Cognitive Science
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• v.28 no.4
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• pp.315-328
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• 2017

Even though assessment using information and communication technology will most likely lead the future of educational assessment, there is little domestic research on this topic. Computerized assessment will not only cut costs but also measure students' performance in ways not possible before. In this context, this study introduces a tool which can overcome the problems of multiple choice tests, which are most widely used type of assessment in current Korean educational setting. Multiple-choice tests, in which options are presented with the questions, are efficient in that grading can be automated; however, they allow for students who don't know the answer, to find the correct answer from the options. Park(2005) has developed a modified multiple-choice testing system (CMMT) using the interactivity of computers, that presents questions first, and options later for a short time when the student requests for them. The present study was conducted to find out if penalizing wrong answers could lower the possibility of students choosing an answer among the options when they don't know the correct answer. 116 students were tested with the directions that they will be penalized for wrong answers, but not for no response. There were 4 experimental conditions: 2 conditions of high or low percentage of penalizing, each in traditional multiple-choice or CMMT format. The results were analyzed using a two-way ANOVA for the number of no response, the test score and self-report score. Analysis showed that the number of no response was significantly higher for the CMMT format and that test scores were significantly lower when the penalizing percentage was high. The possibility of applying CMMT format tests while penalizing wrong answers in actual testing settings was addressed. In addition, the need for further research in the cognitive sciences to develop computerized assessment tools, was discussed.

• Korean Management Science Review
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• v.30 no.1
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• pp.1-14
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• 2013

We conduct the future studies suggested by Park and Seo [3]. They considered a seat inventory control problem in which flights depart sequentially during a similar time-interval and passengers purchase available seats depending on individual customer choice behavior. Customer choice behavior can lead to one among a horizontal shift, a diversion-up, and a booking loss when a desired fare class is unavailable. We investigate how seat availability calculation method, booking limit control mechanism, seat inventory capacity, number of booking class, type of seat demand influence on revenues in an airline industry through thorough computer simulation experiments.

• Journal of the Korean housing association
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• v.18 no.2
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• pp.11-20
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• 2007

The purpose of this study is to find the apartment Choice and Housing Satisfaction by the Housing Value Segmentation. Survey questionnaires were conducted on 1103 married women from three residential areas in Daegu. Data were analized by SPSS package program. Major findings are the following: Quality oriented type preferred environment oriented and multiple apartment. Safety investment type answered the bases of the information as of sales/model house, real estate office, oral information from relative neighbor. Ostentation negative type is dissatisfied for the present apartment were listed such as inconvenient inner structure and inner space, education environment for children, privacy protection, convenient transportation for the urban area. Convenience educational environment type is dissatisfied for the present apartment were listed such as inconvenient inner structure and inner space, anti sonic materials, education environment for children, privacy protection.

• Journal of Global Scholars of Marketing Science
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• v.16 no.4
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• pp.75-95
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• 2006

This study attempted to determine the influence of organizational structure on the novelty preference for corporate meeting destination choice. The three dimensions of structure incorporated were formalization, centralization and complexity. A total of 75 corporate meeting planners drawn from public listed services organizations were involved. The main method of data collection was questionnaire survey and multiple regression analysis was employed as the main statistical technique. The results revealed that both formalization and centralization were negatively correlated with novelty preference while complexity was positively correlated. However, only complexity contributed significantly to the prediction of novelty preference for corporate meeting destination choice. The main implication of this study is pertaining to the segmentation and targeting of the corporate meeting market. This study helped in bridging the gap between tourism marketing and organizational research. It also contributed by developing the measurement for novelty preference from the context of experiential marketing.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.2
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• pp.235-246
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• 2008

The aims of this study were to identify benefits sought for herbal cosmetics and its significance in influencing consumers' attitude and brand choice. A questionnaire was distributed to 900 women between 20 and 50 years old who had purchased herbal cosmetics from Nov. 6, 2006 to Dec. 15, 2006. SPSS 12.0 package was used for data analysis. Factor analysis, $X^2$-test, frequency, percentage, multiple regression analysis were utilized. The results were as follows: 1. The benefits that consumer was seeking from herbal cosmetics could be classified into 9 dimensions; special function, brand, nutritional reinforcement, economy, scarcity, feeling, fragrance, fashion and skin fitness. 2. All of the above benefits sought except economy and fashion had positive impact on consumers' attitude of herbal cosmetics. 3. There was a correlation between types of benefits sought by consumers and their brand selection.

• Journal of Fashion Business
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• v.20 no.3
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• pp.54-67
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• 2016

The purpose of this study was to investigate the The effect of fashion consumer's need for uniqueness in their clothing purchase behavior and switching intention. A total of 332 cases were included as the subjects of this study and a survey method was used. The data were analyzed by factor analysis, reliability analysis, t-test and multiple regression analysis using the SPSS 22.0 statistical program. The results were as follows. 1. The 3 dimensions (creative choice, unpopular choice, and avoidance of similarity) were extracted from the consumer's need for uniqueness and consumer divided high uniqueness group, middle uniqueness group, low uniqueness group. 2. The 3 factor (esthetic, functional, practical) were extracted from the clothing selection criteria. The three group had a significant difference in clothing selection and switching intention. Aesthetic factor and practical factor were the highest in high uniqueness group. 3. The need for uniqueness has influence on the aesthetic factor and practical factor. The creative choice factor had positive effect on the aesthetic and practical factor, yet unpopular choice factor had negative effect on the practical factor. The need for uniqueness and aesthetic factor has positive influence on brand switching intentions. 4. There was difference in unpopular choices factor by gender. A monthly average expenditure on fashion products had a significant difference in three kind of need for uniqueness. Results of this study provide a basis understand need for uniqueness and their effect on consumer behavior.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.4
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• pp.55-70
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• 2001

Artificial neural network(ANN) models have been widely used for the classification problems in business such as bankruptcy prediction, credit evaluation, etc. Although the application of ANN to classification of consumers＇ choice behavior is a promising research area, there have been only a few researches. In general, most of the researches have reported that the classification performance of the ANN models were better than conventional statistical model Because the survey data on consumer behavior may include much noise and missing data, ANN model will be more robust than conventional statistical models welch need various assumptions. The purpose of this paper is to study the potential of the ANN model for forecasting consumers＇ choice behavior based on survey data. The data was collected by questionnaires to the shoppers of department stores and discount stores. Then the correct classification rates of the ANN models for the training and test sample with that of multiple discriminant analysis(MDA) and logistic regression(Logit) model. The performance of the ANN models were betted than the performance of the MDA and Logit model with respect to correct classification rate. By using input variables identified as significant in the stepwise MDA, the performance of the ANN models were improved.

• Korean Journal of Occupational Health Nursing
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• v.26 no.1
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• pp.55-64
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• 2017

Purpose: This study was performed for the effective management of nursing organization as surveyed choice motives and job satisfaction about nurses who changed to public hospitals. Methods: This study is a descriptive study. This study surveyed 214 nurses who changed jobs to public hospital in six Gyeonggi-do hospitals from October 23 to November 20, 2015. The collected data were analyzed for descriptive statistics, t-test, one-way ANOVA, sheffe test, multiple linear regression analysis using the SPSS/WIN 21.0 program. Results: Most of the nurses chose public hospitals due to benefits correspond to public officials. They had worked in general hospitals located on provinces and changed jobs due to a heavy workload and low benefits. Of the participants 84.1% were satisfied with changing jobs to public hospitals and the advantages of public hospitals of their choice were job stability and good employee benefits(guaranteed maternity and paternity leave, etc). On the other hand there were complaints about low salaries compared to the workload after changing jobs to public hospitals. Conclusion: Hospitals need to enhance job stability and provide nurses with good employee benefits to reduce turnover rate.