• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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• pp.67-75
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• 2016

This study aims to examine how international airport visitors perceived value effects on their satisfaction, revisit and recommendation intention. To archive the research goal 288 questionnaires were collected from Incheon international airport and was analyzed a frequency analysis, reliability analysis, exploratory factor analysis and correlation coefficient analysis from SPSS 21, a hypothesis through out confirmatory factor analysis and structural equation modeling from AMOS 7.0. As a result of the analyses, it was found that the models was appropriate in proving the hypotheses on interrelationships among perceived value, satisfaction and revisit & recommendation intention. First, perceived value is factorized as acquisition value, emotion value, monetary value and social value. Second, all factor of perceived value turned out to have affirmative effects on international airport visitors' satisfaction. Third, international airport visitors satisfaction turned out to have affirmative effects on revisit and recommendation intention. Overall, finding of this study enhance the theoretical progress on the experiential concept in international airport and offer important implication for international airport industry.

• The Research Journal of the Costume Culture
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• v.22 no.5
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• pp.743-759
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• 2014

The purpose of this study is to identify the antecedents of consumers' decision postponement on purchasing fast fashion brands. Ongoing search behavior, overchoice confusion, and similarity confusion were considered as antecedents. It was hypothesized that ongoing search behavior influences decision postponement both directly and indirectly through overchoice confusion and similarity confusion. Data were gathered by surveying university students in Seoul, using convenience sampling. Three hundred five questionnaires were used in the statistical analysis, which were exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. Factor analysis proved that ongoing search behavior, overchoice confusion, similarity confusion, and decision postponement were uni-dimensions. Tests of the hypothesized path proved that ongoing search behavior influences decision postponement indirectly through overchoice confusion. In addition, similarity confusion influences decision postponement. The results suggest some confusion reduction strategies for marketers of fast fashion brands. Suggestions for future study are also discussed.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.933-942
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• 2013

Common factor analysis and principal component analysis represent two technically distinctive approaches to exploratory factor analysis. Much of the psychometric literature recommends the use of common factor analysis instead of principal component analysis. Nonetheless, factor analysts use principal component analysis more frequently because they believe that principal component analysis could yield (relatively) less accurate estimates of factor loadings compared to common factor analysis but most often produce similar pattern of factor loadings, leading to essentially the same factor interpretations. A simulation study is conducted to evaluate the relative performance of these two approaches in terms of factor pattern recovery under different experimental conditions of sample size, overdetermination, and communality.The results show that principal component analysis performs better in factor recovery with small sample sizes (below 200). It was further shown that this tendency is more prominent when there are a small number of variables per factor. The present results are of practical use for factor analysts in the field of marketing and the social sciences.

• Journal of Oriental Neuropsychiatry
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• v.28 no.3
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• pp.207-216
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• 2017

Objectives: To simplify the mindfulness scale and to ensure reliability and validity of the scale. Methods: To develop scale items using the original scale and to identify factor structure of the scale, exploratory factor analysis was conducted based on results of factor analysis, the short-form 5-factor mindfulness scale item was selected. Internal consistency coefficient was calculated and confirmatory factor analysis was conducted to verify reliability of the short-form scale. Finally, to verify validity of the abbreviated scale, we conducted correlation analysis with the abbreviated scale and the mindfulness scale (FFMQ). Results: As with the original scales, scaled scales were composed of 5 factors and consisted of 15 items in total. Factor analysis revealed factor loadings were adequate and reliability and validity were secured. Conclusions: It provided that mindfulness shortening scale validation can be used more simply to measure mindfulness in the clinical scene.

• Journal of the Korean Society of Food Culture
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• v.27 no.4
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• pp.331-339
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• 2012

The study examined the moderating effects of the relationship among purchase motivation, satisfaction, and loyalty in a farmer-to-consumer direct market. Data were collected from 426 consumers of direct sale agricultural products who visited nine rural villages across the country. The SPSS 15.0 and LISREL 8.80 statistical package were used for frequency, reliability, exploratory factor, confirmatory factor, and path analysis. Results showed that 'product factor', 'experience factor' and 'economic factor' among purchase motivation had positive effects on satisfaction and satisfaction had positive effects on loyalty. The analysis also indicated that gender moderated the relationship among purchase motivation, satisfaction, and loyalty. Whereas product and economic factors among purchase motivations had positive effects on satisfaction in the male group, product and experience motivation were important factors for female group. These results could enable direct sales marketers to develop marketing techniques to expand farm sales.

• Journal of the Korean Chemical Society
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• v.64 no.2
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• pp.119-129
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• 2020

For effective teaching-learning activities for students with diverse talents in science high schools, it is important for teachers to understand students' individual differences in perceiving and processing information in the natural world, depending on the students' various talents and subject characteristics. The purpose of this study is to examine the students' cognition of chemistry in science high school through correlations and factor analysis of mathematics/science achievement. In addition, this study attempted to examine the cognition of chemistry subject according to R&E classes. The main participants of the study were freshmen of G science high school (296 students) who entered after three times of curriculum reforms and new admission processes and the students in two other science high schools in Gyeongnam and Ulsan were included. The correlation and factor analysis were conducted by exploratory factor analysis by IBM SPSS Statistics 25 programs. The results of this study were as follows: First, in the correlation analysis between mathematics and science achievement, it was confirmed that the Pearson's coefficient of chemistry showed higher positive correlation coefficient than that of other science subjects. Second, in the factor analysis of mathematics and science achievements, it was found that the factor indicators were divided into two factors as logical-mathematical (mathematics and physics) and naturalistic (life science and earth science). Third, in the factor analysis, it was confirmed that the chemistry is recognized as the subject that requires both logical-mathematical and naturalistic intelligence. Finally, it was confirmed that students' cognitions of chemistry subject were found to differ according to the R&E classes. In other words, the participants of R&E chemistry class, unlike other students, were found to recognize chemistry as the subject that logical-mathematical intelligence is needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.1052-1059
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• 2009

Health care has become one of the paramount issues of the 21st century as governments and individuals grapples the complex problems associated with contemporary medical care such as cost, affordability, and shifting demographic trends. The purpose of this study was to develop the critical success factors of medical tourism for health-care organizations and to measure the wights of these factors. For this purpose, we gathered the data from doctors, travelling agencies and scholars. about the success factors of medical tourism. Exploratory and confirmatory factor analysis was carried out to determine the factors as the Critical Success Factors of medical tourism. We did also the research to evaluate the validity and reliability of these factors. After that the Analytical Hierarchy Process (AHP) was applied to analyze the weight and significances among these factors. Factor analysis resulted in 15 major factors (Eigenvalue > 1.0). The AHP analysis showed the list of Critical Success Factors weighted by its significance priorities. The recommendable degree of reliability and validity suggests that these factors could be the valuable refences for the policy making process of the medical tourism in Korea.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.486-496
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• 2012

In recent years, the retail industry has been undergoing major shifts. Outlet malls are an important part of the new retail landscape. This paper seeks to increase the understanding of the shopping experiences of visitors to a Premium outlet shopping mall in Shinsagae Chelsea Premium Outlet at Paju City, Gyeongi-do. This paper analyze the Element of the premium outlet across demographics. It explores seven critical factors which significantly influence customers' perceptions of premium outlet. Findings are base on a mall intercept survey with 292 respondents across a range of demographics. The summary of 7 factor is classified as the visual, location, Shopping support, human traces, mood, transit expedience, and tenant. The main implication of these findings is that factory outlet stores are perceived favourably and that they need to build more positive marketing strategies accordingly.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.203-214
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• 2024

This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1050-1060
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• 2009

This study develops a scale for consumer clothing satisfaction based on Lee et al. 's (2002) five stages of the consumer life cycle (acquisition, possession, consumption, maintenance, and disposal). Data were gathered by surveying college students using convenience sampling, and 419 questionnaires were used in the statistical analysis. In analyzing the data, an exploratory factor analysis and a confirmatory factor analysis using a structural equation modeling were conducted. The proposed scale, which identified various sources of satisfaction and dissatisfaction associated with the 5 consumption cycles of clothing, suggests some guidelines for marketers in enhancing consumer clothing satisfaction across consumption stages. The model test for the scale also identified that consumption satisfaction had the greatest effect on consumer clothing satisfaction showing the strongest loading and squared multiple correlation.