• Information Systems Review
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• v.16 no.3
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• pp.89-112
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• 2014

This tutorial presents an approach to perform the PLS structural equation modeling using the R. For this purpose, the practical guide defines the criteria for the PLS structural equation modeling by reviewing previous studies, and shows how to analyze the research model with an example using the "plspm" which is the R package for the performing PLS path analysis against the criteria. This practical guide will be useful for the study of the PLS model analysis for new researchers and will provide the knowledge base for in-depth analysis through the new PLS structural equation modeling technique using R which is the integrated statistical software operating environment for the researchers familiar with the PLS structural equation modeling.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.21-35
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• 2018

This study reconstructed the military logistics improvement project currently being implemented by ROK military as a defense logistics strategy. In addition the factors affecting the performance of the defense logistics strategy are analyzed using PLS. The significance of this study is as follows. First, the defense logistics improvement project was structured as a defense logistics strategy according to function. Second, PLS is used for performance factor analysis. Most of the existing defense researches utilized the ML structural equation. However, this study used the PLS structural equation in view of the fact that each detail project is the formation of defense logistics strategy. Third, we identified projects that have a substantial impact on defense logistics performance and those that do not. We found that inventory, process, and information strategy influenced logistics performance among defense logistics strategies. On the other hand, it was confirmed that the facility/equipment strategy had no significant effect on defense logistics performance.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.71-87
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• 2021

This study aims to reveal how a port affects the living conditions of its neighborhood area with a case study of Pusan New Port and to suggest several implications to port policy. PLS-SEM reflective measurement model satisfies the criteria on reliability and validity, and also structural model meets the criteria in terms of R2, path coefficients' significance and predictive relevance(Q2). The results of PLS-SEM support the hypotheses of this study: The expansion of Pusan New Port contributes to the improvement of living conditions of Gangseo-gu(nearby area) through its significant and sequential effects on the employment and population increase of Gangseo-gu. The originality of this study can be found in enunciating that a port plays a role as a driving force of the betterment of living conditions of its nearby Gu-level area. In terms of policy, central and local governments and port related companies should cooperate with each other to reinforce the acceptability of port policy through the improvement of the living conditions of port neighborhood area. To evaluate comprehensively the influence of a port on its neighborhood area, a further study needs to identify how a port affects the quality of life of the area or what kinds of socio-economic effects a port has on the area.

• Journal of Distribution Science
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• v.20 no.9
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• pp.47-59
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• 2022

Purpose: This study aims to analyze a triangulation model: 1) the effect of entrepreneurship education (EE) on entrepreneurship knowledge (EK) and entrepreneurship mindset (EM) and 2) the effect of EK on EM. Entrepreneurship education is a medium and pedagogical tool to cultivate EK and EM with the purpose enhancing of students who will be interested in entrepreneurial activities. Knowledge of adequate entrepreneurship is a stimulus strategic tool to develop the entrepreneurial mindset of students. Research design, data, and methodology: There were 278 respondents from Business and Non-Business both Indonesian and Malaysian students. The research design was quantitative and evaluated three hypotheses by PLS-SEM using WarpPLS v.7 software. Statistic descriptive for respondent used SPSS IBM v.26. Results: The results showed that the three hypotheses had supported with a significant level of p-value < 0.001. It's meant EE enhanced both EK and EM. Furthermore, increasing EM was not only by EE, but also EM could be increased through EK. Conclusions: The novelty of this research contributes to filling the knowledge gap in the development of pedagogy in the pursuit of entrepreneurship using a triangulation model of the relationship among EE, EK, and EM.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.169-172
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• 2022

본 연구에서는 고령화패널(KLoSA) 7차년도 데이터 중 60세이상 치매판정 노인(경도인지장애 포함)을 대상으로 치매노인의 삶의 만족에 영향을 미치는 일상생활 주변도움 필요정도와 우울의 영향력을 분석하고, 치매노인의 일상생활 주변도움 필요정도와 삶의 만족 사이에서 우울이 매개효과를 갖는지를 검증하고자 한다.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.125-134
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• 2021

This study aimed to explore the factors affecting the foreign direct investment (FDI) intentions of investors into Quang Ninh province, located in the north-eastern of Viet Nam. Researchers used two main methods, namely, Exploratory Factors Analysis (EFA) and the Structural Equation Model (SEM) based on partial least squares structural equation modeling (PLS SEM) to explore and measure the impact of factors affecting the investors' FDI intentions into Quang Ninh province. The empirical analysis used data from the survey of 206 domestic and foreign investors into Quang Ninh province, including representatives of the Board of Directors, members, and management representatives at the department level, with reliable tools (SPSS 26 and SmartPLS 3.0 software). The research results identified the following factors affecting investment into Quang Ninh: FDI attraction policies have the strongest impact on the investors' FDI intentions; it is followed by infrastructure, public services and human capital with strong effects on intentions of investors' FDI; and finally the standards of living that affects the investors' FDI intentions. There is also a positive relationship between all the factors and the investors' FDI intentions. Several recommendations are further suggested to enhance attraction of foreign direct investment into Quang Ninh province.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.643-662
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• 2023

Purpose: The purpose of this study was to understand an individuals' COVID-19 vaccine acceptance intention during the peak of the pandemic by utilizing the coping theory and technology threat avoidance theory (TTAT) as a framework. Specifically, we focused on understanding how inward and outward emotion-focused coping (EFC), such as psychological distancing and emotional support seeking, affect problem-focused behavior (PFC), which is vaccine acceptance. Furthermore, we investigate how the individuals' cognitive appraisal to- ward COVID-19, consisted of perceived threat and perceived avoidability act as an antecedent of EFC. Methods: A PLS-SEM analysis was conducted to find the causal relation between the variables. An online survey was conducted targeting vaccination recipients on April, 2021. Participants were asked about their perception toward the virus, their coping strategy, and vaccine acceptance intention. A total of 186 valid samples were collected and used for the analysis. Furthermore, to analyze the out-of-sample predictive power of the research model and ensure the generalizability of the results, a PLSpredict analysis was conducted. Results: The results of the PLS-SEM analysis show that perceived threat toward COVID-19 significantly affect an individuals' EFC strategy. Furthermore, both types of inward EFC (psychological distancing, wishful thinking) negatively affected vaccine acceptance intention. On the other hand, emotional support seeking, which is a type of outward EFC, positively affected vaccine acceptance. The result of the PLSpredict analysis confirms the generalizability of the PLS-SEM result. Conclusion: The results of our study could be utilized to decrease vaccine hesitancy and prevent global pandemics by accelerating and increasing vaccination. Our study provides several meaningful implications to researchers and practitioners regarding vaccine acceptance and threat coping behavior.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.285-297
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• 2020

Purpose: This study is a structural model study to grasp the moderating effect of online and offline social support in interpersonal and depressive relationships of nursing students. Methods: This study surveyed 264 nursing students. The collected data is analyzed using Exploratory Factor Analysis, Confirmatory Factor Analysis, and PLS-SEM(Partial Least Square Structural Equation Model) using SPSS 25.0 and Smart PLS 3.0. Results: Interpersonal relationship problems and online social support had a significant effect on increasing depression, and offline social support had a significant effect on reducing depression. In addition, in the relationship between interpersonal problems and depression, only offline social support was found to be significant in the moderating effect. Conclusion: To reduce depression due to interpersonal problems of nursing college students, offline social support should be actively provided, and to investigate the moderating effect of online social support, a repetitive study is proposed that includes relevant variables such as social relationship types through SNS.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.217-225
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• 2014

The objective of this study is to propose the implications using theory of reasoned action(TRA) on u-Tour system. This research model through TRA is consisted as three constructs: user-friendliness(cognitive), perceived usefulness(cognitive) and purchase intention(affective). This study analyzes with a total of 153 respondents and used PLS-SEM method considering the small number of samples. Also, with the analysis, WarpPLS software is used in order to ferret out non-linear relationship between the constructs of research model. As a result of analysis, this research model shows statistical level significantly on proposed hypotheses and the applicability of TRA model in u-Tour system. Furthermore, additional analysis presents the possibility of non-linear relationship on each path between the constructs of research model showing J-shape. Also, the result showes the fact that the relationship had partly negative (-) effect on dependent factor. Additional analysis proposes that income variable as base of purchase intention has a moderating effect on all paths of research model.