• Journal of Digital Convergence
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• v.13 no.12
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• pp.117-124
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• 2015

As the acceptance of statistical analysis has been increased because of Big Data, the needs for an advanced second generation of statistical analysis method like Structural Equation Model are also increasing. This study suggests how R-Program, as open software, can be utilized when Partial Least Square Model, one of the SEMs, is applied to statistical analysis. R is a free software as a part of GNU projects as well as a powerful and useful tool for statistical analysis including Big Data. The study utilized R and SmartPLS, a representative statistical package of PLS-SEM, and analyzed internal consistency reliability, convergent validity, and discriminant validity of the measurement model. The study also analyzed path coefficients and moderator effects of the structural model and compared the results, respectively. The results indicated that R showed the same results with SmartPLS on the measurement model and the structural model. Therefore, the study confirmed that R could be a powerful tool that is alternative to a commercial statistical package in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.2
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• pp.113-121
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• 2021

The occurrence mechanisms of heatwave have been conventionally studied at a synoptic scale. However, the implications of precedent droughts on the following up heatwave occurrences have not been elucidated and are important to address the complex causal mechanisms of heatwaves. Therefore, this study evaluated the causality and implication of the seasonally antecedent droughts to summer heatwaves that occurred for 46 years since 1974 using partial least squares-structural equation modeling (PLS-SEM). The resulting contribution of winter (spring and summer) droughts to summer heatwaves for Seoul-Gyeonggi, Gangwon, and Chungcheong provinces were 37 % (29 % and 22 %), 21 % (18 % and 29 %), and 17 % (8 % and 38 %), respectively. This is due to the regional variability of seasonal drought impacts. Furthermore, Gangwon and Chungcheong provinces, which have a higher level of impacts of summer droughts to summer heatwaves, are more likely to be exposed to the compound drought-heatwave damages compared to Seoul-Gyeonggi province, which has relatively a low-level impact of summer drought.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.145-156
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• 2021

Forest fires have frequently occurred around the world, and the damages are increasing. In Korea, most forest fires are initiated by human activities, but climate factors such as temperature, humidity, and wind speed have a great impact on combustion environment of forest fires. In this study, therefore, based on statistics of forest fires in Gyeonggi-do over the past five years, meteorological and hydrological factors (i.e., temperature, humidity, wind speed, precipitation, and drought) were selected in order to quantitatively investigate causal relationships with forest fire. We applied a partial least squares structural equation model (PLS-SEM), which is suitable for analyzing causality and predicting latent variables. The overall results indicated that the measurement and structural models of the PLS-SEM were statistically significant for all evaluation criteria, and meteorological factors such as humidity, temperature, and wind speed affected by amount of -0.42, 0.23 and 0.15 of standardized path coefficient, respectively, on forest fires, whereas hydrological factor such as drought had an effect of 0.23 on forest fires. Therefore, as a practical method, the suggested model can be used for analyzing and evaluating influencing factors of forest fire and also for planning response and preparation of forest fire disasters.

• Journal of Korea Port Economic Association
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• v.40 no.3
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• pp.187-210
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• 2024

This study examines the factors influencing container shipping carrier selection among coastal shippers in China amid the pressing external challenges posed by the U.S.-China trade conflict and the COVID-19 pandemic, during a period when China is implementing policies to open its maritime market. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze survey data, the research identifies multi-modal transportation services, carrier operational capabilities, and logistics risk management as key determinants. Notably, salesperson professionalism, cargo safety, and fleet stability during peak periods emerged as critical factors for shippers. The disruptions caused by the trade conflict and the pandemic have heightened shippers' focus on risk management and transportation reliability, further emphasizing the importance of carrier service quality and operational capabilities. This study underscores the need for carriers to strengthen their risk management capacities and enhance service quality in response to shifting global conditions. Additionally, the findings suggest that policymakers should consider regulatory adjustments to mitigate uncertainties in the shipping industry. Future research should delve deeper into the long-term impacts of external shocks on carrier selection decisions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.209-217
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• 2021

Although forest fires are more often triggered by artificial causes than by natural causes, the combustion conditions that spread forest fire damage over a large area are affected by natural phenomena. Therefore, using partial least squares structural equation modeling (PLS-SEM), which can analyze the dependent and causal relationships between various factors, this study evaluated the causal relationships and relative influences between forest fire, weather, and drought, taking Gangwon Province as our sample region. The results indicated that the impact of drought on forest fires was 27 % and that of the weather was 38 %. In addition, forest fires in spring accounted for about 60 % of total forest fires. This indicatesthat along with meteorological factors, the autumn and winter droughts in the previous year affected forest fires. In assessing the risk of forest fires, if severe meteorological droughts occur in autumn and winter, the probability of forest fires may increase in the spring of the following year.

• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.209-225
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• 2015

A freight forwarder plays an important role in global trade and logistics by connecting worldwide nodes such as shippers, ports, and airports. Most freight forwarders in Korea are small and do not provide a sophisticated and professional service. This study aims to develop a strategy for Korean freight forwarders to the world-class 3PLs which they have to establish the strategy on how shippers select their freight forwarders. We conducted a higher-order factor analysis using the PLS-SEM techniques on the SmartPLS program to confirm the importance and significance of each factor, while considering relevant previous research. The findings suggested that shippers chose their freight forwarders for international logistics activities primarily by the reliability and forwarder service factors. Therefore, freight forwarders in Korea have to strengthen confidence and widen their service to shippers in order to become leading logistics companies.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1075-1083
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• 2009

The scientific research method went through construction of hypothesis and collection of data by experiment or observation and abstracting the hypothesis based on the experience which uses the data. The statistical methodology plays an important role in this process. The method which acquires a data becomes an initial process of abstraction and a survey research using structured questionnaires is a basic tool. After the data is acquired, the high-class statistical techniques such as the regression analysis and the linear structural equation model are used to abstract a hypothesis. By the way, from time to time the concepts which have become abstractive do not help us to understand an actual phenomena, rather it is need to extract some knowledge from questions themselves. In this article, we review the well known statistical methods providing the ways of finding core questions which possibly answer a researcher wants to know. We deal with course evaluation data as an example and try to set up the strategy for improving course evaluation.

• Journal of Industrial Convergence
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• v.21 no.8
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• pp.119-127
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• 2023

This study was conducted to investigate the structural relationship between depression, self-esteem, and social withdrawal that affect academic helplessness in adolescents. The study sample was 2,265 first-year students of high school in the fourth year (2021) data from the Korean Children and Youth Panel Survey 2018. In this study, data were analyzed by a structural equation model based on the partial least squares method using SmartPLS 3.0. Results indicated that depression and social withdrawal had a significant positive effect on adolescents' academic helplessness, and self-esteem had a significant negative effect. In addition, social withdrawal had a significant positive mediating effect on the relationship between depression and academic helplessness. Therefore, it is required strategies that consider the relationship between depression, self-esteem, and social withdrawal to approach adolescents' academic helplessness.

• Journal of Korea Port Economic Association
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• v.39 no.4
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• pp.163-190
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• 2023

Recently, a framework crystallizing as Environmental, Social, and Governance(ESG) has been exerting significant influence not only on corporate investment and management philosophies but also on national policies. This ESG framework is becoming an essential requirement for all organizations. It has become an obligation at the corporate and national levels, particularly in the maritime, port, and logistics sectors. Anticipating that the adoption and utilization of the ESG framework will reach higher levels when it becomes a necessity, this study utilized data from international organizations such as the United Nations Conference on Trade and Development(UNCTAD), the World Bank, and the World Economic Forum to analyze the impact of the ESG framework on national economic performance through the maritime, port, and logistics sectors using Partial Least Squares Structural Equation Modeling(PLS-SEM). The analysis revealed that while the ESG framework did not have a direct impact on the national economy, it manifested substantial indirect effects through maritime, port, and logistics sectors. Therefore, in these sectors, the establishment of the ESG framework should be recognized not only as an expenditure and obligation but also as a crucial investment that positively influences the national economic performance. The study's findings are limited by the absence of data beyond 2019 due to the impact of COVID-19. Therefore, it is anticipated that more accurate current effects can be ascertained when newer data becomes available.

• Journal of Venture Innovation
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• v.7 no.1
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• pp.17-39
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• 2024

The purpose of this study was to analyze the effect of the government's R&D support and the use of stock options by venture companies on the innovation of venture companies, that is, innovation capabilities and innovation performance. An empirical analysis was conducted using the partial least squares structural equation modeling (PLS-SEM) method using the data from the detailed survey of venture companies conducted on domestic venture confirmation companies. As a result of the analysis, it was found that the benefit of government R&D support had a positive (+) effect on strengthening the innovation capabilities of venture companies, and R&D support also had a positive (+) effect on the innovation performance of venture companies. Next, it was found that the use of stock options by venture companies had a positive (+) effect on the reinforcement of the innovation capabilities of companies and a positive (+) effect on the innovation performance of venture companies. In addition, it was found that the innovation capabilities of venture companies significantly mediate between the government's R&D support and the use of stock options by venture companies and the innovation performance of companies. These analysis results show that the government's R&D support and the use of stock option systems can play a meaningful role in the innovation of venture companies, and also show that the innovation capabilities of venture companies have an important meaning in the process of innovation. Therefore, it is necessary to continue the stance of R&D support for ventures and at the same time to introduce multi-faceted policy measures to support corporate capacity building, and legal and institutional maintenance and policy support to revitalize the stock option system need to be continuously provided.