• The Journal of Information Systems
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• v.11 no.1
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• pp.51-74
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• 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 Academy of Child and Adolescent Psychiatry
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• v.30 no.4
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• pp.168-177
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• 2019

Objectives: We examined the factor structure of the Adolescent version of the General Behavior Inventory (A-GBI) for Koreans. Methods: We retrospectively reviewed the medical records of 220 adolescents (age, 12-18 years) who completed the A-GBI through the Department of Psychiatry at Asan Medical Center, Seoul, Korea, from October 2011 to December 2018. Caregivers of the study participants completed the Parent version of the GBI (P-GBI) 10-item Mania Scale. The adolescents were evaluated based on the A-GBI, Children's Depression Inventory (CDI), and Revised-Children's Manifest Anxiety Scale (RCMAS). Subsequently, an exploratory factor analysis (EFA) using the maximum likelihood method with direct oblimin rotation and correlation analyses with other scales were performed. Results: The EFA identified a two-factor structure as having the best fit: factor I included depressive symptoms and factor II included hypomanic/biphasic symptoms. Factor I was very strongly correlated with the A-GBI depressive subscale (r=0.990, p<0.001) and strongly correlated with CDI (r=0.764, p<0.001) and RCMAS (r=0.666, p<0.001). Factor II was also very strongly correlated with the A-GBI hypomanic/biphasic subscale (r=0.877, p<0.001) and weakly correlated with CDI (r=0.274, p<0.001) and RCMAS (r=0.332, p<0.001). Conclusion: The above findings support a two-dimensional model of mood symptoms in Korean youth.

• The Journal of Fisheries Business Administration
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• v.51 no.2
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• pp.51-69
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• 2020

The purpose of this study is to construct an outlook model that is consistent with the "Fisheries Outlook" monthly published by the Fisheries Outlook Center of the Korea Maritime Institute(KMI). In particular, it was designed as a partial equilibrium model limited to abalone items, but a model was constructed with a dynamic ecological equation model(DEEM) system taking into account biological breeding and shipping time. The results of this study are significant in that they can be used as basic data for model development of various items in the future. In this study, due to the limitation of monthly data, the market equilibrium price was calculated by using the recursive model construction method to be calculated directly as an inverse demand. A model was built in the form of a structural equation model that can explain economic causality rather than a conventional time series analysis model. The research results and implications are as follows. As a result of the estimation of the amount of young seashells planting, it was estimated that the coefficient of the amount of young seashells planting from the previous year was estimated to be 0.82 so that there was no significant difference in the amount of young seashells planting this year and last year. It is also meant to be nurtured for a long time after aquaculture license and limited aquaculture area(edge style) and implantation. The economic factor, the coefficient of price from last year was estimated at 0.47. In the case of breeding quantity, it was estimated that the longer the breeding period, the larger the coefficient of breeding quantity in the previous period. It was analyzed that the impact of shipments on the breeding volume increased. In the case of shipments, the coefficient of production price was estimated unelastically. As the period of rearing increased, the estimation coefficient decreased. Such result indicates that the expected price, which is an economic factor variable and that had less influence on the intention to shipments. In addition, the elasticity of the breeding quantity was estimated more unelastically as the breeding period increased. This is also correlated with the relative coefficient size of the expected price. The abalone supply and demand forecast model developed in this study is significant in that it reduces the prediction error than the existing model using the ecological equation modeling system and the economic causal model. However, there are limitations in establishing a system of simultaneous equations that can be linked to production and consumption between industries and items. This is left as a future research project.

• Journal of the Korean Home Economics Association
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• v.44 no.11
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• pp.117-131
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• 2006

The purpose of this study was to verify a Structural Equation Model that constructed the causations among the structural leisure constraints, interpersonal leisure constraints, intrapersonal leisure constraints, leisure motivation, leisure activity participation, leisure satisfaction and the quality of life from the ecological perspective. The respondents were 301 elderly people residing in 4 free institutionalized elderly homes in Seoul. The data were analyzed by confirmatory factor analysis and covariance structure analysis using USREL 8.0 ver. The major results are summarized as follows: 1) Statistically, a goodness of fit is good of structural equation model presented in the study. 2) The structural leisure constraints and the interpersonal leisure constraints are some types of leisure environment of the aged in public homes from the ecological perspective. Such constraints would inevitably lead to a direct effect on individual leisure life and leisure motivation. 3) The important valuable factor which affected the leisure satisfaction and the quality of life in the elderly was the leisure motivation.

• Journal of the Korean association of regional geographers
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• v.14 no.1
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• pp.54-67
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• 2008

This paper is to analyze the relationships between the factors of choice attributes and the related satisfaction focused on Domestic tourists in Jeju region. First, this paper used the structural equation model with the questionnaires to investigate the attributes affecting the visitors' satisfaction and service value. In conclusion, the attribute factors influencing service value and the visitors' satisfaction are 'equipment and convenience' and 'culture and leisure'. Also, this paper presents that the 'foods' factor is affecting re-visit and others' recommendation through the mediation of satisfaction factor.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.2
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• pp.164-173
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• 2015

Purpose: This study was done to investigate the effects of individual-organization personality agreement using a five-factor model on job satisfaction and organizational commitment of hospital nurses. Methods: Participants were 222 nurses who had worked for more than 1 year in a university hospital. Data were collected from January 14 to 20, 2012, using self-recorded questionnaires. Collected data were analyzed using descriptive statistics and multiple regression methods. Results: Extraversion personality fit and the Agreeableness personality fit had a significant effect on job satisfaction. Extraversion personality fit, agreeableness personality fit, and openness personality fit had a significant effect on organizational commitment. Conclusion: Results of this study show that individual-organizational personality agreement affects hospital nurses' job satisfaction and organizational commitment. The extraversion personality fit and agreeableness personality fit of the 5 factors are identified as important variables to increase organizational performance. Based on these results, it is necessary to develop an integrated organizational personality measure model for increasing nurses' work environment satisfaction related to individual-organization personality fit.

• Korean Journal of Agricultural Science
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• v.44 no.4
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• pp.620-635
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• 2017

This study was intended to identify the main factors responsible for the decline in purchase of imported agricultural and fish products after Japan's nuclear power plant accident in 2011 and to compare the effects on imported agricultural produce and imported fish products. Logit model and multiple regression model analyses were performed using consumers' survey data. Psychological and qualitative factors reflecting consumers' food safety awareness and purchasing preferences, which were extracted by Factor analysis, were included as the models' explanatory variables, along with socio-demographic and economic factors. The Logit estimation showed aged, married, and low-income households had significantly higher probability of reducing their purchases of imported agricultural and fish products. However, the multiple regression results pointed out that the actual rate of decrease of imported agricultural and fish products purchases were more significantly affected by non-socio demographic factors such as past experience of purchasing imported agricultural and fish products, future intention to purchasing Japanese agricultural and fish products, and the ratio of imported to domestic agricultural and fish products before the nuclear accident, as well as consumers' feeling of food insecurity and their purchasing preferences. Moreover, the results showed that Korean consumers have reacted more sensitively to the decline in imported fish products than imported agricultural produce after the nuclear accident based on the marginal effects of various socio-demographic and economic factors.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.6
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• pp.799-806
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• 2004

This paper presents a scheme for finding an optimal combination of design parameters affecting on the handling performance of a large truck using design of experiments. The average of the sum of peak-to-peak roll angles at the first and second part of the double lane is used as an objective function for design of experiments. Six design parameters are selected from all possible parameters affecting on the handling performance. The table of orthogonal arrays is made by 27 times simulations. A computational model of a large truck is developed by MSC/NASTRAN and MSC/ADAMS, and verified the reliability of it with the results of vehicle tests performed in a double lane change course. It is used for the simulations. Analyses of variance and factor effect of the table of orthogonal arrays are performed. This paper proposes an optimal combination of those six design parameters for improving the handling performance of the large truck.

• Communications for Statistical Applications and Methods
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• v.15 no.5
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• pp.687-695
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• 2008

It is widely known that the home advantage plays an important factor for determining victory or defeat in sport leagues. Thus a ranking system of sport league should take account of the home advantage as a key factor. Various statistical models are studied to rate the Korean Basketball league teams in 2006-2007 season. Among them, the model equation provided by Harville and Smith (1994) is useful for constructing two ranking systems. Both systems give quite reasonable quantifications of the team's ability and the home advantage.

• Journal of the Korea Institute of Building Construction
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• v.8 no.6
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• pp.155-160
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• 2008

The BTL project, 4 years since its operation. has benchmarked the PFI Project in Japan and has been introduced. Given the evaluation step to select a preferred bidder, in a technological factor, the basic plans are corrected and complemented, whereas in a price factor, the low price bidding system is being enforced. There is concern that how to select preferred bidders and how to operate project costs during operation and management period may be problematic. Thus, in this study, using the Analytic Hierarchy Process, the method of deciding the priority to select preferred bidders in an early stage of the project and the evaluation model to evaluate the validity of BTL project expenses in process of project enforcement are established. Targeting the group composed of experts who have experiences in the BTL project. Then, the levelling of evaluation factors and grouping have been carried out as following : LCC analysis and disbursement for government including two more detailed factors.