• The Korean Journal of Financial Management
• /
• v.27 no.2
• /
• pp.115-144
• /
• 2010

This study aims to empirically verify that the effect of investor protection on risk taking may differ according to growth opportunities. Furthermore, this paper intends to verify the hypothesis that the impact of risk taking upon corporate value will also be influenced by growth opportunities. The results of the analysis show that firms with high growth opportunities demonstrate greater risk taking as investor protection gets stronger while the degree of investor protection has little or no impact on their risk taking in case of firms suffering a lack of growth opportunities. In addition, risk taking has a statistically significant positive impact on improving corporate value for firms with sufficient growth opportunities, in contrast the impact is little or none when firms lack growth opportunities.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.289-294
• /
• 2024

Traditional poll-based preference analysis techniques are time-consuming, expensive, and limited in the domains they can survey. To solve this problem, this paper proposes a preference analysis system based on sentiment analysis. After collecting web documents using the keywords entered by the user, the polarity is calculated using the N-gram technique. To reduce the analysis time when analyzing a large amount of web documents, we designed and implemented a container-based system using worker services. Comparing the analyzed results of the proposed system with existing polls shows a difference of 1% to 8%.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.6
• /
• pp.1565-1571
• /
• 2016

This paper is an empirical study of chinese consumers' lifestyle by country of origin effect of mobile phone. The data we analyze in this paper was collected and studied in Kim et al. (2006, 2007). We classify the respondents into the four groups according to the responses of country of origin effect of mobile phone. The four groups are group K (preference in made in Korea), group J (preference in made in Japan), group U (preference in made in USA), and group C (preference in made in China). One-way ANOVA and stepwise discriminant analysis are applied to classify the training sample which consists of 89 lifestyle variables and two personnel information. It is observed that group K is more open-minded, out front, aggressive, and self-assertive compared to group C.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.12
• /
• pp.1981-1989
• /
• 2008

Different people buy the same or similar products for different reasons. Benefit segmentation attempts to understand these differences by grouping together people who assign a similar level of importance to the same attributes. We focused on identifying market segments for knit fabrics by comparing the relative attribute preference for knit fabrics according to segmented clusters, and testing to establish if there were significant differences between the preferences of clusters. Three consumer segments emerged, and there were three clusters with different ideal knit profiles: a preferred wool group, a preferred acrylic group, and a preferred long stitch length group. The preferred wool group and the preferred acrylic group rated the mixture ratio as the main attribute that determined their preference, followed by the stitch length. The preferred long stitch length group considered stitch length as being the most important attribute, followed by the mixture ratio. The difference in the preferences for the mixture ratio and stitch length of knit fabrics was the highest between the three clusters, The preferred wool group preferred a knit fabric that has a greater wool mixture ratio and a short stitch length, and the preferred acrylic group and long stitch length group preferred a knit fabric that had a higher acrylic mixture ratio and a short stitch length.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.34 no.1
• /
• pp.333-340
• /
• 2014

We analyzed pedestrian preference and features of preferential space by MDS (Multi Dimensional Scaling). As the result, features of pedestrian space in dimension 1 could be interpreted as "Segregation of Pedestrian and Vehicle", and features of pedestrian space in dimension 2 could be read like "Natural-City". And as a result of vector analysis about preferential of pedestrian, a pedestrian mall between housing complex, pedestrian space in pocket park, pedestrian space in neighborhood park, and pedestrian space around public facilities was the best preferential space. On the other hand, pedestrians tended to dislike pedestrian space between detached.

• The Journal of the Korea Contents Association
• /
• v.11 no.10
• /
• pp.165-175
• /
• 2011

This study aims to analyze and compare the difference of preference to realistic and fantastic expressions presented in the illustrations of children's picture books. The subject of this study is set for 52 seven-year-old kindergarten students, including 26 boys and 26 girls, in Cheonan. Two times of researches on their preferences were made on the basis of data collection through individual interviews and self-regulatory questionnaires. A children's picture book, which best demonstrates both realistic and fantastic expressions, was selected as a research tool for such questionnaire from the ones produced and printed within Korea, which either are listed in the Recommended Book List of Children's Book Research Association or received any international award. The result shows that both boys and girls prefer fantastic expressions to realistic ones. It was also found that girls tend to prefer realistic expressions that the boys do. Nevertheless, there definitely was a limitation in thorough analysis by region or age, as they tended to show different responses when they were provided with a picture book with similar theme and story, but different form of expression.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.2
• /
• pp.445-450
• /
• 2023

This study analyzed the factors that viewers consider when watching anime on Over The Top(OTT) service platforms and the characteristics of each type of preference, which are the components of anime preference. To this end, the survey data of 240 animation major students were used for analysis, and the conclusions drawn through frequency analysis and cross-tabulation of IBM SPSS Statistics 27 are as follows. Netflix is the OTT service platform that viewers use the most, and TV series are the most preferred for animation works. In addition, it was found that Netflix OTT original animation works were preferred over other platforms, and long-form animation preferred Disney+. Among the characteristics of each type of animation preference, it was found that the factors considered when watching animation in terms of narrative value, aesthetic value, and entertainment value respectively value the structure, screen production, and immersion of the storyline. It is hoped that this study will be used as useful data for producing animation contents with the OTT service platform.

• Communications of Mathematical Education
• /
• v.29 no.1
• /
• pp.51-72
• /
• 2015

This study aimed to analyze the characteristic of undergraduate students' perception and preference for mathematics. For this purpose, I surveyed 124 undergraduate students' metaphorical expressions about mathematics. I classified the expressions as four categories: a positive form, a negative form, a mixed form, an undecidable form. I investigated the proportion and characteristic of the metaphorical expressions according to the above four categories. Also, I surveyed the students' preference and nonpreference moments for mathematics and categorized them into 6-cases: elementary school, middle school, high school, university, always, and none. In addition, I examined the students' preference and nonpreference reasons for mathematics and classified them according to the 5-factors: grade factor, affective factor, content factor, teacher factor, and other factors. The results of this study as follows: First, the 27% of university students expressed their metaphorical expressions for mathematics as a positive form, 42% as a negative form, and 27% as a mixed form. Also, the preference rate for mathematics was higher as their school years increase and the main reasons of preference were grade and affective factors. The result of nonpreference rate was also higher as their school year increased. Students said that the contents and grade factor were the main factors among the 5-factors.

• Communications of Mathematical Education
• /
• v.24 no.2
• /
• pp.325-344
• /
• 2010

The purpose of this study is to investigate what influences students' preferences on empirical and deductive proofs and find their relations. Although empirical and deductive proofs have been seen as a significant aspect of school mathematics, literatures have indicated that students tend to have a preference for empirical proof when they are convinced a mathematical statement. Several studies highlighted students'views about empirical and deductive proof. However, there are few attempts to find the relations of their views about these two proofs. The study was conducted to 47 students in 7~9 grades in the transition from empirical proof to deductive proof according to their mathematics curriculum. The data was collected on the written questionnaire asking students to choose one between empirical and deductive proofs in verifying that the sum of angles in any triangles is $180^{\circ}$. Further, they were asked to provide explanations for their preferences. Students' responses were coded and these codes were categorized to find the relations. As a result, students' responses could be categorized by 3 factors; accuracy of measurement, representative of triangles, and mathematics principles. First, the preferences on empirical proof were derived from considering the measurement as an accurate method, while conceiving the possibility of errors in measurement derived the preferences on deductive proof. Second, a number of students thought that verifying the statement for three different types of triangles -acute, right, obtuse triangles - in empirical proof was enough to convince the statement, while other students regarded these different types of triangles merely as partial examples of triangles and so they preferred deductive proof. Finally, students preferring empirical proof thought that using mathematical principles such as the properties of alternate or corresponding angles made proof more difficult to understand. Students preferring deductive proof, on the other hand, explained roles of these mathematical principles as verification, explanation, and application to other problems. The results indicated that students' preferences were due to their different perceptions of these common factors.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.1
• /
• pp.1-8
• /
• 2009

Learning user's preference is a key issue in intelligent system such as personalized service. The study on user preference model has adapted simple user preference model, which determines a set of preferred keywords or topic, and weights to each target. In this paper, we recommend multi-perspective user preference model that factors sentiment information in the model. Based on the topicality and sentimental information processed using natural language processing techniques, it learns a user's preference. To handle timc-variant nature of user preference, user preference is calculated by session, short-term and long term. User evaluation is used to validate the effect of user preference teaming and it shows 86.52%, 86.28%, 87.22% of accuracy for topic interest, keyword interest, and keyword favorableness.