• Journal of Distribution Science
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• v.18 no.7
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• pp.5-17
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• 2020

Purpose: The purpose of this study is to examine the influence of resilience and work engagement on performance of managers in the automotive sector in Morocco. It analyses the mediating effect of work engagement between resilience and manager performance. Though earlier studies have focused on the effect of resilience on employee performance and work engagement. none has looked at the mediating role of work engagement in this context. Thus, the present paper attempts to fill this literature gap. Research design, data and methodology: A confirmatory survey was conducted among a sample of 196 employees of automobile companies in Tangier-Morocco. A structural equation analysis using SmartPLS was performed while Preacher and Hayes (2008) method was used to analyze the mediation effect. Results: a) Manager resilience has a positive influence on work engagement, which further influences their performance; b) there is a statistically insignificant relationship between resilience and manager performance; c) Structural equation modelling analysis shows that work engagement partially mediates the relationship between resilience and manager performance. Conclusion: Theoretical contributions, practical implications, and future research directions are discussed.

• 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.

• 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 the Korean Society of Safety
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• v.28 no.2
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• pp.78-83
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• 2013

The traffic culture index is used as a major index in evaluating the traffic safety services of local governments and also serve as important data for the planning and implementation of traffic safety services. However, as the traffic culture index gradually became a standard for comparison among local governments, in part, certain cases arose which questioned the grounds for selecting variables for the index and the validity of the index in terms of its influential relationship between evaluation items. This study analyzed the index's influential relationship by utilizing a PLS structural equation model based on the evaluation results of the 2011 traffic culture index. A variable-linking model was created which recognized the relativity taking into account of the indirect effects between latent variables and this model was proven to be a model suitable in explaining the traffic culture index with a 97.8% explanation power. It was found that traffic safety(0.530), driving behavior(0.527), pedestrian behavior(0.187) and vulnerable road users(0.147), in such order, had an effect on the traffic culture index. It was also found that human casualties due to traffic accidents under "traffic safety" and traffic light compliance rate under "driving behavior" had an important effect. The study showed that motor vehicle share in illegal parking in school zones did not have a valid explanation power regarding "vulnerable road users".

• 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.

• 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 Information Technology Applications and Management
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• v.30 no.6
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• pp.91-111
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• 2023

This study aims to identify the influencing factors of intention to use cloud services using the SEM-ANN two-step approach. In previous studies of SEM-ANN, SEM presented R² and ANN presented MSE(mean squared error), so analysis performance could not be compared. In this study, R² and MSE were calculated and presented by SEM and ANN, respectively. Then, analysis performance was compared and feature importances were compared by sensitivity analysis. As a result, the ANN default model improved R² by 2.87 compared to the PLS model, showing a small Cohen's effect size. The ANN optimization model improved R² by 7.86 compared to the PLS model, showing a medium Cohen effect size. In normalized feature importances, the order of importances was the same for PLS and ANN. The contribution of this study, which links structural equation modeling to artificial intelligence, is that it verified the effect of improving the explanatory power of the research model while maintaining the order of importance of independent variables.

• Korea Trade Review
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• v.44 no.6
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• pp.169-185
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• 2019

The purpose of this study is to analyze the structural relationships of perceived value, price sensitivity, and satisfaction between brand image and purchase intention of consumers who have experience of overseas direct purchase. This study collected questionnaires used to analyze these structural relationships. Using the R's plspm package, we analyzed the PLS (partial least squares) structural equation model. In order to examine the relationship between perceived value and price sensitivity, the research model was modified and analyzed. As a result, not only the adoption of the research hypothesis, but also the goodness of fit was higher than before the research model modifying, and the relationship between perceived value and price sensitivity was further verified. The modified research model has higher academic value, so it is necessary to select it as the final proposal model.

• 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.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.594-603
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• 2016

This study analyzed that introduction function and program how influence about quality of life local resident and development of region according to real development. Also, it suggested policy implications of area activation plan through complex development of railway station area. In research method, the factor and structure affecting area activation in complex development of railway station area analyzed positively using the PLS structural equation focused on citizen near station area. As a result of study, in regional economic vitalization, the factors of software(marketing support, transfer system support, plan and design support, complex development support, law institution improvement, etc) and the factors of hardware(traffic function, information exchange function, commercial business function, housing features, amenity function, etc) are represented to influence significantly and then, in quality of life of local resident, the factor of hardware analyzed to influence significantly, but the factor of software and network did not. In comparison, the factor of network is represented that it did not contributed in regional economic vitalization and quality of life of local resident. So, political supplementations are needed.