• Journal of Korean Library and Information Science Society
• /
• v.41 no.3
• /
• pp.391-419
• /
• 2010

The purpose of this study is to investigate the factor that brings about information literacy gap by comparing and analyzing the group with high level and not so high level information literacy for migrant workers and to seek policy to clear the information literacy gap. To accomplish such purpose, the author found the operation of various factors that bring about information literacy gap through in-depth interview of migrant workers and working level NGO staff. The result of interview revealed that information literacy gap of migrant workers is generated by the complex operation of personal characteristics, technical factor, social and economical factor, government policy factor and so on.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.4
• /
• pp.1119-1127
• /
• 2006

The purpose of this study is to identify relationship among motivation factor, hygiene factor, and job satisfaction of school meal chefs. The respondents included 155 school meal chefs in the survey. Data was analyzed by confirmatory factor analysis and cause-effect analysis among the constructs. After research model testing, the following results was obtained : hygiene factor was influenced directly and positively by the job satisfaction of school meal chefs. But motivation factor was not influenced directly and positively by the job satisfaction of school meal chefs.

• Journal of the Korean Data and Information Science Society
• /
• v.19 no.3
• /
• pp.751-759
• /
• 2008

Mixtures of factor analyzers(MFA) is useful to model the distribution of high-dimensional data on much lower dimensional space where the number of observations is very large relative to their dimension. Mixtures of common factor analyzers(MCFA) can reduce further the number of parameters in the specification of the component covariance matrices as the number of classes is not small. Moreover, the factor scores of MCFA can be displayed in low-dimensional space to distinguish the groups. We propose the factor scores of MCFA as new low-dimensional features for classification of high-dimensional data. Compared with the conventional dimension reduction methods such as principal component analysis(PCA) and canonical covariates(CV), the proposed factor score was shown to have higher correct classification rates for three real data sets when it was used in parametric and nonparametric classifiers.

• Journal of the Institute of Electronics Engineers of Korea SD
• /
• v.45 no.2
• /
• pp.125-129
• /
• 2008

A low-voltage active CMOS inductor approach, which can improve the quality-factor(Q), is proposed in this paper. A low-voltage active inductor circuit topology with a feedback resistance is proposed, which can substantially improve its equivalent inductance and quality-factor(Q). This proposed low-voltage active inductor with a feedback resistance was simulated by ADS(Agilent) using 0.18um standard CMOS technology. Simulation showed that the designed active inductor had a maximum quality-factor(Q) of 3000 with a 1.5nH inductance at 4GHz

• The Journal of Information Systems
• /
• v.11 no.1
• /
• pp.51-74
• /
• 2002

The purpose of this study is to empirically investigate critical success factors for effective implementation of web-based distance learning system. First of all, four critical success factors are theoretically derived from reviewing previous research. They are: (1) learner-related factor including the variables such as teaming ability, learning attitude, and attending motivation, (2) environmental factor including the variables of physical and mental support for learners, (3) instructional design factor represented by one variable, the degree of appropriateness of learning contents, and (4) the factor concerning the level of self-directed learning readiness embracing the variables such as curiosity for learning, openness towards challenge of learning and affection for learning. Subsequently, the relationships between these four critical success factors and the degree of learning satisfaction are empirically investigated. The data for empirical analysis of the research are collected from 1,020 respondents who have already passed the web-based distance learning courses which have been implemented in Information and Communication Officials Training Institute. Out of 1,020 responded questionnaires, 875 data were available for statistical analyses. The main results of this study are as follows. Firstly, the most important factor for successful implementation of the web-based distance learning system is shown to be the instructional design factor, and in the next place, the self-directed learning readiness factor, the environmental factor and the learner-related one in sequence. Secondly, additional analysis of the variables included in the instructional design factor shows that availability of practical information and knowledge is the most influencing variable, and next, interesting composition of contents, reasonable learning amount, optimal level of instruction, and understandable explanation are significantly important in the descending order. Lastly, among learning motivators, strong intention of acquiring business knowledges and skills is found to be the most important satisfier in the web-based distance learning. The theoretical contribution of this study is to derive a comprehensive model of critical success factors for implementing the web-based distance learning system. And, the practical implication of this study is to propose efficient and effective guidelines for developing and operating the web-based distance learning system in the various kinds of organizations.

• Journal of the Korean Home Economics Association
• /
• v.27 no.1
• /
• pp.9-17
• /
• 1989

The purpose of this study is to explore the use of fashion information source and the consumer dissatisfaction factors in the purchase and use of clothing, and to explain the relationships between the use of fashion information source and the consumer dissatisfaction factors of young man. For the study, data were collected from 254 freshman, 258 male seniors, and 229 unmarried male workers using the questionaire method. The data from 741 respondents were analyzed by Pearson's Product-moment coefficient corrleation, ANOVA, T-TEST, and Scheff Test. The results of the study are as follows : 1. There were significant differences in the use of information source such as. 1) according to the group, the impersonal advocate source, and the impersonal independent source. 2) according to the job, the impersonal advocate source. 2. There were significant differences in the consumer dissstisfaction factor such as. 1) according to the group, the "product assortment" related factor. 2) According to the job, the "quality" related factor. 3. There were partly significant relationships between the use of information source and consumer dissatisfaction factor. 1) In the young men, the use of the impersonal advocate source, impersonal independent source, personal independent source, and observation had correlated with the dissatisfaction factor related to "purchase-decision making".

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.9 no.2
• /
• pp.535-543
• /
• 2008

This study aims to derive the conversion factor of oriental medicine based on the publicly available information to overcome the problem of the small sample size and reliability of cost analysis which spend much data gathering expense in spite of small sample. This study confirms the fairness and validity of results of analysis by using the publicly available information composed of large sample. Because of the large variation of the conversion factor depending on the types of data and methodologies, it is required to use the analysis using publicly available information in company with the cost analysis. build the health data system for cost analysis. For more reasonable conversion factor, it is urgent to construct the healthcare data system including the individual oriental medicine office.

• The Research Journal of the Costume Culture
• /
• v.12 no.5
• /
• pp.691-701
• /
• 2004

The first purpose of this study was to compare the factors of information searching before purchasing with the factors of information offering after purchasing of the products, which were communication contents about the wedding Hanbok in internet communities. The second purpose was to propose marketing strategies for internet wedding Hanbok marketer. To accomplish the goal, the content analysis method which considered references and opinions of internet community members was used. Two hundred cases from WEDDING CLUB(62,893members), WEDDING GONGBU (18,649members), and WEDDING DOUMI (17,326members) in Daum internet portal site were selected from August 1 to September 21, 2003. The results were as follows: First, the information factors which were considered seriously when consumers purchased wedding Hanbok, were design, the level of sewing, price, store location, cognitive power, service level, and manufacturing time. Second, the consumers considered the price as the most important factor when they searched internet information. Third, the service factor was also considered importantly, and it was recognized important factor so much after purchasing as before purchasing wedding Hanbok. Fourth, the factors such as cognitive power, manufacturing time and store location were seriously considered as the information searching factors before purchasing. It showed higher rate when compared with information offering factors of after purchasing the wedding Hanbok. Fifth, the factor of sewing was considered as lower rate than other factors. It showed similar results before and after purchasing the wedding Hanbok.

• Journal of the Korean Data and Information Science Society
• /
• v.19 no.2
• /
• pp.621-634
• /
• 2008

This paper addresses the problem of testing whether the means in several inverse Gaussian populations with heterogeneity are equal. The analysis of reciprocals for the equality of inverse Gaussian means needs the assumption of equal scale parameters. We propose Bayesian model selection procedures for testing equality of the inverse Gaussian means under the noninformative prior without the assumption of equal scale parameters. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian model selection procedures based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and real data analysis are provided.

• Journal of the Korean Data and Information Science Society
• /
• v.18 no.4
• /
• pp.1191-1203
• /
• 2007

In this paper, we consider the hypothesis testing for the homogeneity of the shape parameters in the gamma distributions. The noninformative priors such as Jeffreys# prior or reference prior are usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian testing procedure for the homogeneity of the shape parameters based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and a real data example are provided.