Partial Least Squares (PLS) is a statistical technique that is widely used in the Partial Least Squares (PLS) is a popular technique for estimating structural equation models with latent variables. It is frequently perceived as an alternative to covariance analysis of such models. While its proponents recognize the shortcomings of PLS for testing explanatory models in comparison to covariance m...

−The accurate and reliable on-line estimation of product quality is an essential task for successful process operation and control. This paper proposes a new estimation method that extends the conventional linear PLS (Partial Least Squares) regression method to a nonlinear framework in a more robust manner. To handle the nonlinearities, nonlinear PLS based on linear PLS and neural network has b...

Partial least squares path modeling (PLS) has seen increased use in the information systems research community. One of the stated key advantages of PLS is that it weights the indicator variables based on the strength of the relationship between the indicators and the underlying constructs, which presumably decreases the effect of measurement error in the analysis results. In this paper we argue...

This study  tries to review actual customers of banks and identify the effect of e-CRM system on attracting bank deposits with a scientific method Descriptive statistics to summarize data and describe them and inferential statistical methods such as PLS structural model to intended testing hypotheses, we used to .  The statistical population included all actual customers of Eghtesad Novin, Ayan...

This study  tries to review actual customers of banks and identify the effect of e-CRM system on attracting bank deposits with a scientific method Descriptive statistics to summarize data and describe them and inferential statistical methods such as PLS structural model to intended testing hypotheses, we used to .  The statistical population included all actual customers of Eghtesad Novin, Ayan...

Tujuan dari penelitian ini adalah untuk menguji pengaruh Financial Behavior, Knowledge, dan Strain terhadap Satisfaction. Sampel dalam seluruh penduduk kota Medan yang sudah memiliki penghasilan. dipilih dengan menggunakan metode convenience sampling berjumlah 171 responden menyebarkan kuesioner secara online melalui Google Form. Teknik analisis data digunakan Structural Equation Modeling (SEM)...

Knowledge is known to be a pre-condition for an individuals behavior. For the most efficient informational strategies education, it essential that we identify types of knowledge promote behavior effectively and investigate their structure. The purpose this paper therefore examine factors affect Kenyan farmers, environmental citizenship (ECB) in context Adaptation mitigation (Climate smart agric...

The purpose of this research is to provide empirical evidence regarding: (1) the effect tax knowledge on voluntary compliance. (2) trust in authorities mediating and compliance (3) digitalization (4) influence In study, data was collected by distributing questionnaires obtain 264 samples which were then processed using Smart PLS 3.0 software. analysis technique used SEM-PLS. results study indic...

The sulfated polysaccharide (PLS) fraction of Agardhiella ramosissima was characterized by microanalysis, infrared spectroscopy, NMR and gas-liquid-chromatography-mass-spectrometry. The main constituent of PLS was the ι carrageenan. The monosaccharide composition of the PLS showed galactose, 3,6-anhydrogalactose and 6-O-methylgalactose. The PLS (30 mg kg(-1)) significantly reduced the paw oedem...

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PL...