• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.227-238
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• 2013

Although several studies show close relationships between social capitals and their performances, a little is known about specific social capitals and their effects on organizational culture and behaviour leading to their innovative outcomes within small and medium sized enterprises(: SMEs). This study examines some dimensions of social capitals and their influences on creating innovative culture and employees' behaviour. The importance of these are regarded as an imperative for SMEs to overcome the inequality of financial leverage and competitive power over resources. For the empirical analysis, survey data were collected from 51 domestic SMEs and analyzed by partial least squares(: PLS) that is one of popular structural modeling and multi-variate projection techniques to latent variables. The findings confirm a positive support of social capitals and their influences on the innovative culture and bahaviour. This result implies that managing the capability of social capitals is important for SMEs to develop the innovative culture and bahaviour and create a competitive advantage.

• 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.

• Safety and Health at Work
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• v.14 no.1
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• pp.78-84
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• 2023

Background: Since the advent of the COVID-19 pandemic, physicians have been the unsung heroes of the pandemic. However, many are about to give up the battlefield. This study investigated the effect of occupational moral injury on physicians' career abandonment intention, taking into account the possible mediating role of emotional exhaustion. Methods: Cross-sectional data collected from 201 physicians were analyzed using the partial least squares structural equation modeling (PLS-SEM) with SmartPLS to determine the relationship among physicians' moral injuries, emotional exhaustion, and career abandonment intention. Results: The results indicated that occupational moral injury was positively related to emotional exhaustion and career abandonment intention. In addition, emotional exhaustion was found to play a mediating role in the relationship. Conclusion: To reduce physicians' intention to leave their career, physicians should be prepared for moral injury and psychological issues by offering psychological support and meeting their needs early at both the individual and organizational levels during and after the pandemic.

• Korean Journal of Soil Science and Fertilizer
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• v.37 no.4
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• pp.259-265
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• 2004

A quicker method was developed for foliar analysis in diagnosis of nitrogen in apple trees based on multivariate calibration procedure using partial least squares regression (PLSR) and principal component regression (PCR) to establish the relationship between reflectance spectra in the near infrared region and nitrogen content of fresh- and dry-leaf. Several spectral pre-processing methods such as smoothing, mean normalization, multiplicative scatter correction (MSC) and derivatives were used to improve the robustness and performance of the calibration models. Norris first derivative with a seven point segment and a gap of six points on MSC gave the best result of partial least squares-1 PLS-1) model for dry-leaf samples with root mean square error of prediction (RMSEP) equal to $0.699g\;kg^{-1}$, and that the Savitzky-Golay first derivate with a seven point convolution and a quadratic polynomial on MSC gave the best results of PLS-1 model for fresh-samples with RMSEP of $1.202g\;kg^{-1}$. The best PCR model was obtained with Savitzky-Golay first derivative using a seven point convolution and a quadratic polynomial on mean normalization for dry leaf samples with RMSEP of $0.553g\;kg^{-1}$, and obtained with the Savitzky-Golay first derivate using a seven point convolution and a quadratic polynomial for fresh samples with RMSEP of $1.047g\;kg^{-1}$. The results indicate that nitrogen can be determined by the near infrared reflectance (NIR) technology for fresh- and dry-leaf of apple.

• 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 Biosystems Engineering
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• v.38 no.4
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• pp.318-326
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• 2013

Purpose: We developed a viability evaluation method for cucumber (Cucumis sativus) seed using hyperspectral reflectance imaging. Methods: Reflectance spectra of cucumber seeds in the 400 to 1000 nm range were collected from hyperspectral reflectance images obtained using blue, green, and red LED illumination. A partial least squares-discriminant analysis (PLS-DA) was developed to predict viable and non-viable seeds. Various ranges of spectra induced by four types of LEDs (Blue, Green, Red, and RGB) were investigated to develop the classification models. Results: PLS-DA models for spectra in the 600 to 700 nm range showed 98.5% discrimination accuracy for both viable and non-viable seeds. Using images based on the PLS-DA model, the discrimination accuracy for viable and non-viable seeds was 100% and 99%, respectively Conclusions: Hyperspectral reflectance images made using LED light can be used to select high quality cucumber seeds.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.6
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• pp.175-182
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• 2013

Lately, customers think highly of the emotional satisfaction and as a result, issues on odor are matters of concern. The cases are odor of interior material and air-conditioner of vehicles. In particualar, with respect to the odor of air-conditioner, customers strongly claimed defects with provocative comments : "It smells like something rotten," "It smells like a foot odor," "It stinks like a rag." Generally, it is known that mold of evaporator core in the air-conditioning system decays and this produce VOCs which causes the odor to occur. In this study, partial least squares regression model is applied to predict the strength of the odor and select of important VOCs which affect car air conditioning smell. The PLS method is basically a particular multilinear regression algorithm which can handle correlated inputs and limited data. The number of latent variable is determined by the point which is stabilized mean absolute deviations of VOCs data. Also multiple linear regression is carried out to confirm the validity of PLS method.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1267-1274
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• 2021

This study aims to analyze the effect of corporate communication and service quality on loyalty mediating satisfaction. The population of this study is 384 Islamic bank customers in North Sumatra. This research is quantitative research using the survey method. The number of research samples was 384 customers. Characteristics of this research sample were (1) Savings customers who actively carried out transactions in Islamic banks (2) Savings customers who had used bank services for at least 1 year (3) Savings customers who used services directly and individually. The data analysis technique used in this study was the Partial Least Squares-Structural Equation Model (SEM-PLS) analysis technique, using Warp-PLS 3.0 software. This study investigates the largest Islamic banks in North Sumatra, namely Bank Syariah Mandiri, Bank BNI Syariah, and Bank BRI Syariah. The results show that company communication has a positive and significant effect on satisfaction, service quality has a positive and significant effect on satisfaction, company communication has a positive and significant effect on loyalty, service quality has a positive and significant effect on loyalty, satisfaction has a positive and significant effect on loyalty. There is also a significant effect of satisfaction on the relationship between company communication and loyalty, and the relationship between service quality and loyalty. This study contributes to Islamic banking to increase customer loyalty.

• Journal of Convergence Society for SMB
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• v.4 no.3
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• pp.7-13
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• 2014

In recent years, according to the increasing of information security compliance, information security management system's requirements is not a matter of choice but an essential problem. In this respect, this research have an invention to survey what it will affect employees in compliance with the privacy policy antecedents and how to apply this information for the future, and to suggest ways to improve the employees' information security policy compliance intentions. In this paper, To investigate the factors affecting the degree of information security policy compliance using the structural equation of least squares (PLS Partial Least Square) in the confumatory level (confirmatory), the factor analysis of the primary factor analysis and secondary last. The results is that almost of influencing factors affect to the compliance with information security policies directly, but not affect self-efficacy.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.3115-3115
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• 2001

In this study, portable near infrared (NIR) system was newly integrated with a photodiode array detector, which has no moving parts and this system has been successfully applied for evaluation of human skin moisture. The good correlation between NIR absorbance and absolute water content of separated hairless mouse skin was, in vitro, showed depending on the water content (7.42-84.94%) using this portable NIR system. Partial least squares (PLS) regression was used for the calibration with the 1100-1650 nm wavelength range. For the practical use for the evaluation of human skin based on moisture, PLS model for human skin moisture was, in vivo, developed using the portable NIR system based on the relative water content values of stratum corneum from the conventional capacitance method. The PLS model showed a good correlation. This study indicated that the portable NIR system could be a powerful tool for human skin moisture, which may be much more stable to environmental conditions such as temperature and humidity, compared to conventional methods. Furthermore, in order to confirm the performance of newly integrated portable NIR system, scanning type conventional NIR spectrometer was used in the same experiments and the results were compared.