• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.747-755
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• 2015

The purpose of this study was to analyze the factors on behavioral intention in u-health system using Health Promotion Model(HPM) by Pender [11]. This study used PLS-SEM(Partial Least Squares-Structural Equation Modeling) method for verification of the proposed model and conducted the analysis with sample data of 216 respondents. As a result of the analysis, a path from individual experience to personal health and also, path from self-efficacy to behavioral intention had the highest influence in the research model. Also, it was confirmed that the only factor that affect health promotion behavior was 'self-efficacy' variable in u-health system. However, in the future time, additional research is needed in that this study has small sample data and needs more clear definition on u-health system.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.111-121
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• 2016

This study provides an approach to perform the double mediation analysis in structural equation models using the R. For this purpose, the study reviews a variety of techniques for mediation analysis, selects the bootstrapping technique as the most suitable way for performing the double mediation analysis and develops an approach for the double mediation analysis in structural equating models with the bootstrapping using the plspm which is the R package for the performing PLS path analysis. This study will be useful for the studies including the double mediation analysis in structural equation modeling, which is not supported by most of SEM packages, also will provide the knowledge base for in-depth analysis through suggesting the new mediation analysis technique using R for the researchers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.978-984
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• 2018

Structural equation modeling is pointing to statistical procedures that simultaneously perform path analysis and confirmatory factor analysis. Today, this statistical procedure is an essential tool for researchers in the social sciences. There are as AMOS, LISREL and PLS representative tools that can perform structural equation modeling analysis. AMOS provides a convenient graphical user interface for beginners to use. PLS has the advantage of not having a constraint on normal distribution as well as a graphical user interface. Therefore, we compared and analyzed the three most commonly used tools (applications) in social sciences. Based on structural equation modeling, confirmatory factor analysis was performed using the IBM AMOS Ver. 23, the LISREL 8.70 and the SmartPLS 2.0. The comparative results show that LISREL has the highest explanatory power of dependent variables than other analytical tools. The path coefficients and T-values presented by the analysis results showed similar results for all three analysis tools. This study suggests practical and theoretical implications based on the results.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.99-106
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• 2017

The purpose of this study is to analyze the relationship between tourist 's intention to use smartphone and the preceding factors through the questionnaire. For achieving this research purpose, this study surveyed the tourists who use smartphone to investigate the influence of interactivity such as two-way communication and synchronicity as hypotheses on the influence of flow, and the effect of attitude factors on continuous intention to use was analyzed by research model. In this study, a partial least squares based structural equation (PLS-SEM) method was applied to verify the hypothesis of the proposed research model. Finally, the validity of the proposed research model was confirmed through confirmatory factor analysis and hypothesis testing. Therefore, the results of this study show that interactivity and flow are influential for the reuse of users in utilizing information by using smartphone, and it affects the attitude of users in developing smart tourism system in the future. The results of this study can be utilized as basic data related to the acquisition of information by smartphone of tourists in the future development of smart tourism system.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.43-47
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• 2019

The aim of this study was to apply the Importance-Performance Map (IPM) method based on PLS-SEM by extending the importance-performance analysis (IPA), which is an existing method to grasp strategic policies through the difference of importance and satisfaction of existing competitiveness factors. For this application, this study was applied to research related to policy measures that can survive and spread in global competition by analyzing strategic factors of information technology (IT) convergence industry. The development of IT convergence industry, which is the subject of this study, has the effect of revitalizing related industry development and employment activation. Therefore, this study expanded the possibility of applying this research methodology to research the strategic factors to activate exports of SMEs (Small and medium-sized enterprises) in the convergency industry. In order to achieve this goal, the analytical methodology of this study was applied and the policy measures for IT SMEs. Therefore, based on the analysis results of this study, this study can apply this research methodology to other fields as a strategic tool in establishing and enforcing policies for export activation of IT convergence industry.