• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2099-2107
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• 2011

Despite the PB diffusion introduced as a strategic competitive factor from the change of a retailing business, the study of PB perceived quality in a customer aspect is poor. Therefore, this study led the influential factors to retailer attribute and product attribute through overall analysis. Also, the study found the influential attributes affecting the perceived quality and analysed the influential power linking to customer satisfaction and preference through the perceived quality. The examined results of the study have known that each attribute links to customer satisfaction via the only perceived quality. The strategic PB sales advantage should be achieved as giving customers the overall perceived quality, and has shown that it can increase the customer preference for PB.

• International Journal of Contents
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• v.6 no.4
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• pp.79-89
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• 2010

In recent years, IT organizations are in the process of introducing IT Governance as the concept and measure of transparency, accountability and effectiveness of IT activities and control for managing governance processes. In this paper, the influential factors for IT organizations to adopt COBIT(The Control Objectives for Information and related Technology) which is a typical framework for effective IT Governance execution were classified and analyzed empirically into internal and external factors. Internal factors were designed based on influential factors in the theory of innovation diffusion, and external factors were designed based on influential factors from outside certification which were absent in COBIT and expertise support from the outside. The result of this study showed that understandability, transition and effectiveness which were internal factors had no effect on COBIT introduction, and only expertise support among certification and expertise support which were external factors had significant effects. This result shows that there are lack of COBIT supports and introduction in internal IT organizations. It is expected that the result of this study will allow strategic approach of COBIT adoption in future by verifying influential factors of COBIT introduction within IT organizations.

• Journal of Korean Society of Rural Planning
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• v.15 no.2
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• pp.111-120
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• 2009

The purpose of this study was to analyze the lifestyles of tourists visiting rural experience tourist destinations and the influential relations of the attributes to affect rural experience tourism. The research findings show that the lifestyles of tourists had significant impacts on their preference for rural experience programs(0.2502/3.0l2). Second, their lifestyles had also significant impacts on the need for rural experience tourist destinations(5.039/3.363). Third, their preference for rural experience programs had significant influences on their intentions for revisits(0.386/3.l60). Fourth, their preference for rural experience programs had significant influences on their intentions for word of mouth(1.448/8.073). Fifth, their need for rural experience tourist destinations had significant impacts on their intentions for revisits(1.940/5.594). And finally, their need for rural experience tourist destinations had no significant influences on their intentions for word of mouth(-1.0611-1.421). According to the analysis results of the regression coefficient of the measuring model, enjoying leisure(1.130/6.775) and pursuing health(1.110/9.001) were large influential factors in lifestyle; pursuing learning(1.47317.946) was the biggest influential factor in preference for rural experience programs; and a natural environment(1.220/8.990) was the biggest influential factor in the need for rural experience tourist destinations.

• Journal of the Korean Home Economics Association
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• v.39 no.12
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• pp.271-284
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• 2001

The purpose of this study was to find out the relationship of attitudes of parents and their unmarried adult child concerning the family value orientation. In addition to this study examined the relationship to child's family value orientation and related variables. The major findings 1) Gender, mother's value of marriage, religion were influential factors on the child's value of marriage.2) Gender and mother's value of sex role were influential factors on the child's value of sex role. 3) Child's gender was only influential factor on child's value of child. 4) Gender, mother's value of filial piety, father's value of filial piety were significant factors which have some effects on child's attitudes toward value of final piety. 5) Gender, mother's value of familism, religion were significant factors which have some effects on child's attitudes toward value of familism. 6) Gender, mother's family value orientation, father's family value orientation were influential factors on child's family value oreintation. In conclusion, this study found that child's gender was the most influential factor on child's family value orientations. And mother's family value orientations had strong effects on children's family value orientations.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.987-999
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• 2017

Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1096-1107
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• 2019

In this paper, we present an ontology-based approach to labeling influential topics of scientific articles. First, to look for influential topics from scientific article, topic modeling is performed, and then social network analysis is applied to the selected topic models. Abstracts of research papers related to data mining published over the 20 years from 1995 to 2015 are collected and analyzed in this research. Second, to interpret and to explain selected influential topics, the UniDM ontology is constructed from Wikipedia and serves as concept hierarchies of topic models. Our experimental results show that the subjects of data management and queries are identified in the most interrelated topic among other topics, which is followed by that of recommender systems and text mining. Also, the subjects of recommender systems and context-aware systems belong to the most influential topic, and the subject of k-nearest neighbor classifier belongs to the closest topic to other topics. The proposed framework provides a general model for interpreting topics in topic models, which plays an important role in overcoming ambiguous and arbitrary interpretation of topics in topic modeling.

• Communications for Statistical Applications and Methods
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• v.8 no.2
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• pp.347-355
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• 2001

We propose a method for detecting influential observations that have a large influence on the likelihood ratio test statistic for the two sets of variables are uncorrelated with one another. For this purpose we derive a local influence measure for the likelihood ratio test statistic under certain perturbation scheme. An illustrative example is given to show the effectiveness of the proposed method on the identification of influential observations.

• Journal of applied mathematics & informatics
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• v.5 no.2
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• pp.489-498
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• 1998

The influence of observations the on the goodness-of-fit test in maximum likelihood factor analysis is investigated by using the local influence method. under an appropriate perturbation the test statistic forms a surface. One of main diagnostics is the maximum slope of the perturbed surface the other is the direction vector cor-responding to the curvature. These influence measures provide the information about jointly influence measures provide the information about jointly influential observations as well as individ-ually influential observations.

• Journal of Korean Society for Quality Management
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• v.34 no.1
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• pp.27-33
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• 2006

In this paper, an effective method for identifying influential main effects and interactions in the 2-level factorial designs is suggested by exploiting the resolution V designs developed by Kim(1992). For analysis of such designs, we employ the Bayesian approach for easy and clear identification of influential effects in the half normal probability plot.

• Proceedings of the Korea Concrete Institute Conference
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• 2000.04a
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• pp.651-656
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• 2000

The strain compatibility analysis shows that the influential parameters of loading type, reinforcing ratio, and span-depth ratio affect on the tendon stress in unbonded prestresses concrete member significantly. However, existing test results did not comply exactly with the analytical results. In consequence, the present study was planned to examine the parameters in order to complete Moon/Lim's design equation. The test variables with 12 specimens were loading type, reinforcing ratio, and span-depth ratio. As results, the effect of influential parameters were examined throughly and Moon/Lim's design equation was proven to be accurate.