• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2004.04a
• /
• pp.321-332
• /
• 2004

The purpose of this research is to introduce the concept of "relationship formation factors" in inter-firm relations and to empirically demonstrate that they are effective in improving the relationship results by means of anmediating variable. Therefore, the basic model of this study consists of the independent, mediating, and dependent variables. First, the independent variable, that is, the relationship formation factors, is further classified into three components： transactional, relational, environmental characteristics. Then, the study empirically examines how each of the three components influences the dependent variable, that is, the business performance(Load Factor), by way of the mediating variables, that is, trust and relationship commitment.

• Culinary science and hospitality research
• /
• v.22 no.7
• /
• pp.88-99
• /
• 2016

This study examined the factors influencing consumer's behavioral intention by one person start-ups in the food-service field, and also looked into the effects of service quality by start-ups and perceived relational benefits on behavioral intention. A questionnaire survey was conducted from March 1 to March 30 on 278 citizens of Gwangju Metropolitan City who used one person start-ups. Regarding research results, 3 variables, namely food quality, food value, and physical environment, were set upas e lower variables of service quality in one person start-ups, while 4 variables,psychological benefits, economic benefits, social benefits, and customer benefits, were established as relational benefits. In addition, regression analysis considering consumer's behavioral intention as dependant variable revealed all paths exhibiting a significant, positive(+) corelation.

• Structural Engineering and Mechanics
• /
• v.31 no.1
• /
• pp.57-74
• /
• 2009

Power signals resulting from spindle and feed motor, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the tool wear. The partial least-squares regression (PLSR) method has been established as the tool wear analysis method for this purpose. Firstly, the results of the application of widely used techniques are given and their limitations of prior methods are delineated. Secondly, the application of PLSR is proposed. The singular value theory is used to noise reduction. According to grey relational degree analysis, sample variable is filtered as part sample variable and all sample variables as independent variables for modelling, and the tool wear is taken as dependent variable, thus PLSR model is built up through adapting to several experimental data of tool wear in different milling process. Finally, the prediction value of tool wear is compare with actual value, in order to test whether the model of the tool wear can adopt to new measuring data on the independent variable. In the new different cutting process, milling tool wear was predicted by the methods of PLSR and MLR (Multivariate Linear Regression) as well as BPNN (BP Neural Network) at the same time. Experimental results show that the methods can meet the needs of the engineering and PLSR is more suitable for monitoring tool wear.

• Knowledge Management Research
• /
• v.9 no.4
• /
• pp.35-49
• /
• 2008

The purpose of the study is to develop and validate an instructional design model from the perspective of the knowledge creation. To serve the purpose, the researcher conducted 1) literature review to find causal relationship model among knowledge creation factors and to propose a hypothetical instructional design model, 2) data analysis with 50 senior level e-Learning instructional designers, and 3) testing the fitness of the proposed model and relevant causal-relational hypotheses. Results indicate; 1) the proposed model fit to the empirical evidence, 2) 6 hypotheses among 11 were validated. A typical instructional designer's personal competency was evidenced as the most powerful independent variable that predicted knowledge acquisition, knowledge sharing, and the application of the instructional models. However, the expected effect of instructional design models toward other dependent variable was not be found. In addition, further suggestions for the future research are addressed.

• Journal of Navigation and Port Research
• /
• v.28 no.5
• /
• pp.373-384
• /
• 2004

The purpose of this research is to introduce the concept of "relationship formation factors" in inter-firm relations and to empirically demonstrate that they are effective in improving the relationship results by means of an mediating variable. Therefore, the basic model of this study consists of the independent, mediating, and dependent variables. First, the independent variables, that is, the relationship formation factors, are further classified into three components. transactional, relational, and environmental characteristics. Then, the study empirically examines how each of the three components influences the dependent variable. that is, the business performance(Load Factor), by way of the mediating variables, that is, trust and relationship commitment.

• Journal of the Korean Society of Costume
• /
• v.64 no.3
• /
• pp.13-31
• /
• 2014

This study attempts to analyze relational structures among service failure-related variables after the moderation of fairness in the beauty service industry with the following purposes: First, it aims to review and investigate service failure & service recovery strategies, non-switching intentions after recovery, revisit intention, the intent to provide word-of-mouth recommendations and previous studies on service failure and recovery in the beauty service industry. Second, it targets the analysis of the role of fairness as a variable that moderates relations between service recovery strategies and post-recovery satisfaction in the beauty service industry. For this, the following research method was used: This study has investigated the effect of service failure and its recovery strategies (behavioral recovery strategy, psychological recovery strategy, monetary recovery strategy) on customer satisfaction for beauty service users and used the Structural Equation Model (SEM) to further analyze and verify the effect of the satisfaction on post-satisfaction behavior (non-switching intention, repurchase intention and the intent to provide word-of-mouth recommendations). The SEM was divided into a measurement model and structural model to determine if the model is appropriate and estimate the parameters of the path coefficient. In addition, this study examined to see if fairness (procedural fairness, distributive fairness and interactive fairness) works as a moderating variable while the service recovery efforts affect customer satisfaction. Then, the role of service recovery strategies, targeted to satisfy the customers who were dissatisfied because of service failure, were investigated. In addition, its effect on post-satisfaction behavior was analyzed from the structural aspect, and the moderating role was examined as well. Then, the role of the service recovery strategy, which can be used to satisfy dissatisfied customers, was examined, and the effect of the satisfaction on customer behavior was analyzed from a structural perspective. In addition, the moderating role of fairness was tested. As a result, this study is significant in that it helps service providers formulate service recovery-related strategies.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.4
• /
• pp.123-131
• /
• 2020

The pattern query in graph database has advantages of easy query expression and high query processing performance compared to relational database SQL. However, unlike the relational database, the graph database may not utilize the advantages of pattern query depending on modeling because the methodology for building the logical data model is not defined. In this study, in the is-a node modeling method that appears during the graph modeling process, we experiment that there is a difference in performance between graph pattern query when designing with a generalization model and designing with a specialization model. As a result of the experiment, it was shown that better performance can be obtained when the is-a node is designed as a specialization model. In addition, when writing a pattern query, we show that if a variable is bound to a node or edge, performance may be better than that of the variable of not bounded. The experimental results can be presented as an is-a node modeling method for pattern query and a graph query writing method in the graph database.

• The Research Journal of the Costume Culture
• /
• v.27 no.6
• /
• pp.553-568
• /
• 2019

This study examined motivation to use omni-channel services on mobile devices in fashion stores and the effects of such usage motivation on brand purchase intention through continuous and affective commitment. Data were collected on consumers in their 20s and 30s who experienced omni-channel services during shopping for or purchasing fashion products. An online survey asked 413 consumers to rate their brand purchase intention. Sub-levels of each variable were examined using SPSS 25.0, followed by confirmatory factor analysis using AMOS 19.0. In addition, path analysis using structural equation modeling was applied to analyze associations between variables. The statistical results were mixed. First, only two dimensions of usage motivation for omni-channel services, hedonic and relational motivation, had positive effects on continuous and affective commitment. Second, continuous commitment had a greater effect on purchase intention of brands that provided omni-channel services than it did on affective commitment. Third, of the dimensions of usage motivation, utilitarian motivation had a direct influence on purchase intention in the modified model, while social motivation did not affect service commitment and purchase intention. Finally, our findings suggest that brand loyalty can be built by encouraging service commitments through hedonic and relational motivation, based on the usability of omni-channel services.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.9
• /
• pp.113-119
• /
• 2016

In this paper, a research model is proved empirically which includes factors related on the purchase intention of smart car as high innovative product in advance of commercialization. As one of relating to consumer's expectation benefit factors, individual attribute factor includes product knowledge, individual innovativeness, and sociality. Consumer's expectation benefit factor includes perceived ease-of-use, usefulness, and enjoyment. As of switching cost variables, there are financial, uncertainty, relational and psychological switching costs factors. Analysis were performed using data from the 257 respondents as random sampling among potential consumers. Purchase intention were affected by individual innovativeness mediated by perceived enjoyment, and individual sociality by perceived ease-of-use and enjoyment also. Relational switching costs factor was only a significant control variable between purchase intention with consumer's expectation benefit factor. This result presents some implications for making the new smart car's detail concept and marketing strategy related to targeting the consumer as high innovative product and technology firms including smart car makers.

• Research in Community and Public Health Nursing
• /
• v.29 no.4
• /
• pp.393-403
• /
• 2018

Purpose: The purpose of this study is to examine depression levels of some Korean mothers of preschool children and to find out how much influence their psychological, parenting and relational characteristics have on their depression. Methods: This study has been conducted to analyze depression-related and -influencing factors of the Korean mothers of preschool children [7th Panel Study of Korean Children (2014)]. Correlation analysis has been used to examine the relationship between the mothers' psychological, parenting and relational factors and their depression. Hierarchical analysis has been employed to clarify the factors associated with depression. Results: Hierarchical regression analysis has found out that the significant predictors of the depression of the Korean mothers of preschool children include age, educational and employment status, monthly income, smoking status in Model 1. The significant variable is self-esteem in Model 2, parenting stress in Model 3, and, lastly, marital conflict in Model 4. Conclusion: Through this study, it has been discovered that the psychological characteristics of the Korean mothers of preschool children are the most influential factor affecting their depression. The results suggest that it is necessary to develop a community program for improving self-esteem and reducing parenting stress of Korean mothers of preschool children in their parenting.