• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.26-40
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• 2018

The aim of this research is to analyze factors affecting bicycle accidents using the PLS structural equation. Accident types in this study were categorized into total accidents, serious injuries including death, and light injuries which occurred at nationwide Si Gun Gu. It was found that urbanization was the main factor for bicycle accidents through the accident models developed in this study. Population, ratio of economically active population, density of intersections, ratio of urbanized area, commercial and industrial land-uses, number of drive license holders, number of education institutions, number of parks were the main factors causing bicycle accidents. Besides, length of bicycle roads, number of bicycles, and ratio of bicycle as mode choice also increased bicycle accidents.

• Journal of the Korean Data and Information Science Society
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• v.17 no.1
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• pp.173-185
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• 2006

In this paper, we propose two methods for setting initial weights in the PLS algorithm which is employed to measure the customer satisfaction in SEM. Using data from the survey of the students conducted with the questionnaire of the ACSI survey, we evaluate the education service in terms of the satisfaction level of the students and compare our proposed methods with the previous method.

• 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 the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.657-665
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• 2016

This study analysed how real estate investor's preference influences the investment satisfaction and re-investment intention. For the study, the investment preference was analysed using the PLS Structural Equation Model. The profitability and safety among the investment behavioral factors influenced the investment satisfaction the most. The facility characteristics among the investment behavioral factors influenced the investment satisfaction slightly. Finally, the investment satisfaction among the investment preferences influenced the re-investment intention mainly.

• Journal of Korean Society for Quality Management
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• v.30 no.3
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• pp.38-52
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• 2002

This paper is concerned with the analysis of structural equation model(SEM) with the ordinal data such as Likert scale. The SEM is misused when the arbitrary scores allocated to the Likert scale are treated as quantitative data. The underlying distribution approaches have been studied to solve this problem, and the partial least squares(PLS) Is also tried. In this paper the quantification methods for the Likert scale are proposed to analyze the SEM. We assume that the Likert scale is an observation of the interval of the continuous underlying distribution, and the respondents have their own patterns in the response of some questions. Normal and beta distributions as the response patterns are considered to quantify the Likert scale. To compare the efficiency of the proposed method the bootstrap simulations are tried.

• Journal of dental hygiene science
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• v.15 no.6
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• pp.807-814
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• 2015

The purpose of this study is to create a hypothetical model that explains and predicts oral health promotion behavior of adolescents by reviewing preceding literature on Pender's Health Promotion Model, and to verify the model's validity and proposed hypothesis through PLS (partial least square) structural equation model analysis. This study was cross-sectional survey consisted of self-administration questionnaires. The subjects in this study were a total of 293 alternative high school students in Jeollabuk-do Province. They were selected by convenience sampling. In alternative high school students, perceived benefit, locus of control, self-efficacy, and self-esteem had an effect on their oral health promoting behavior. As a result of the indirect effects in black is subjectively good subjective oral health, oral health related behaviors well past the more oral health promotion behavior showed a high. The prediction model of oral health promotion for adolescences, which was made using Pender's Health Promotion Model, was considered to be useful in explaining and predicting alternative high school students oral health promotion behavior.

• The Journal of Industrial Distribution & Business
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• v.10 no.12
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• pp.7-14
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• 2019

Purpose: In Korea, win-win growth policy has been successfully implemented in supply chain and logistics management. In the policy, it is recommended to support supply chain partners with various mechanisms including financial and technical aids. This study attempts to scientifically analyze the effects of direct and indirect win-win growth policy factors on supply chain and logistics management performance through partnership factors. Research design, data and methodology: This study builds a structural equation model reflecting the relationship between the win-win growth policy, partnership and performance factors. The proposed model is verified with the PLS (Partial Least Squares regression) methodology. Data from shipper and logistics companies were collected and analyzed by the PLS model. Results: The analysis showed that both direct and indirect policy factors are meaningful to improve supply chain and logistics performance. Indirect support factors including R&D, management innovation, human resources development and educational supports have positive impacts on partnership factors. Direct support factors including financial aids and fairness also have positive impacts on the performance. Conclusions: This study is meaningful in that it suggests a turning point in which supply chain Win-win growth and partnership efforts are perceived as new value-creating mechanism rather than unilateral cost reduction for logistics industry.

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.125-134
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• 2016

The purpose of this study is to explore the relationship between motivational belief about learning science, self-directed learning ability and conceptual understanding of matter change with a quantitative method, assuming that motivational belief and self-directed learning ability might affect conceptual understanding. To do this, the authors investigated middle school students' motivational belief about learning science, self-directed learning ability, and conceptual understanding of matter change using measurement tools based on previous studies, and then analysed the casual relationship between three variables using PLS structural equation model. As a result, three latent variables in this study could be evaluated as appropriated in reliability and validity. And also, self-directed learning ability could affect both the motivational belief and conceptual understanding, while motivational belief could affect only self-directed learning ability but not conceptual understanding. Through this study the authors confirmed that in the context of science learning self-directed learning ability can directly affect conceptual understanding but motivational belief can affect indirectly. This study is significant in that the causal relationship between different variables in science learning could be confirmed in a quantitate manner, and also in that it can suggest PLS structural equation method as a new research methodology in science education research area.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.295-303
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• 2015

This paper is empirically to examine the effects of project manager's competencies (intellectual, managerial, and emotional competencies) on the performance for planning and outcome of NPD (new product development) project in project matrix organization. To achieve this purpose, we employ a field survey of project managers in project matrix organization and PLS (partial least square) structural equation modelling to test hypotheses of our research model. The results show that intellectual competency positively affect both of performances for planning and for outcome, whereas managerial and emotional competencies have not significant effect on them. Our attempt is to provide theoretical implications to current studies related to project management and helps for practitioners to develop a program for selecting and training capable and promising project managers.

• Journal of Distribution Science
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• v.18 no.1
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• pp.107-121
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• 2020

Purpose: Shared mobility services are the most notable in the shared economy; however, they have yet to be activated in Korea due to various regulations and conflicts amongst stakeholders. Nevertheless, shared mobility has become an irresistible trend of the times, as it can cause a great deal of economic and environmental benefits. In this vein, the purpose of this study is to contribute to the revitalization of shared mobility services in Korea and to provide service providers with implications for developing consumer-oriented marketing strategies. Research design, data and methodology: Based on the reasons that the users do not use shared mobility service, the factors influencing the behaviors of shared mobility users are structured and analyzed in a reliable, technical and procedural manner. To this end, the theory of reasoned action (TRA) of Ajzen and Fisbbein, the initial trust model (ITM), task technology fit (TTF) and switching cost (SC) are adopted. A total of 202 questionnaires were collected from the respondents who were aware of shared mobility. Then statistical processing of the collected data used SmartPLS(v.3.2.8), a PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis program. The steps of the analysis are as follows. First, a PLS-Algorithm analysis was performed to evaluate the measurement model, and a Bootstraping and Blindfolding analysis was performed to evaluate the structural model and verify the hypotheses. Second, a multi-group analysis (PLS-MGA) was conducted to further analyze the differences depending on whether or not users experienced shared mobility service. Results: The results showed that initial trusts model (ITM) and task technology fit (TTF) have positive effects on users' behaviors through the mediation of the intention to use. As opposed to the assumption, switching costs did not have negative moderating effects in relation to the intention to use and users' behaviors. The influence of IT self-efficacy was significant, depending on the prior experience to use shared mobility services. Conclusions: This study will contribute to the revitalization of domestic shared mobility services and the formulation of service providers' marketing strategies. In future studies, there is a need to explore, reconstruct, and validate factors other than the impact factors of the shared mobility services used in this research model.