Partial Least Squares Structural Equation Modeling(PLS-SEM): An application in Customer Satisfaction Research

Abstract

The importance of business newspaper reading for education is increasing by year-byyear at education level and particularity for University. This study used a quantitative approach seeking a causative explanation of the BNIE (Business Newspaper in Education) learning. After a literature review on the mentioned topics, research model was developed. Our study framework was based on the SERVQUAL Model and TAM (Technology Acceptance Model). A survey of 120 participants (students) was conducted to collect the research data. The valid 100 data were analyzed using PLS-SEM (Partial Least Squares Structural Equation Modeling). Results show the usefulness of BNIE (Business Newspaper in Education) factor is significantly impact on customer satisfaction. And Customer satisfaction is significantly impact on Intention to business newspaper. Some implication and conclusions are included.

Structural Equation Models Applied for Evaluating Service Quality and Satisfaction in the Healthcare System of Cartagena de Indias D. T. y C. (Colombia)

“…Both methods were used to test the structural model so that to answer what is more convenient for this particular context. In this sense, PLS-SEM demonstrated some advantages over CB-SEM, when applied to the social science area, where data usually is not normally distributedthe discrete data measured on the Likert scale are usually interpreted as not normally distributed, the sample size is small, and the sufficient theory of the model relationship does not exist (Hair et al, 2014;Gye-Soo, 2016). If the research is based on a predictive model, PLS-SEM is a more recommendable alternative (Fornell & Bookstein, 1982).…”

Partial Least Square-Structural Equation Modeling Pada Hubungan Antara Tingkat Kepuasan Mahasiswa Dan Kualitas Google Classroom Berdasarkan Metode Webqual 4.0

“…SEM merupakan sebuah metode analisis data multivariat yang digunakan untuk menguji hipotesis pada hubungan-hubungan antara variabel-variabel terobservasi dan laten. Terdapat dua pendekatan yang digunakan pada SEM yaitu Covariance-based SEM (CB-SEM) dan Partial Least Squares SEM (PLS-SEM) [5,6,7,13].…”

“…CB-SEM adalah pendekatan SEM yang digunakan ketika ukuran sampel besar dan data berdistribusi normal, sedangkan PLS-SEM dapat digunakan ketika ukuran sampel kecil dan data tidak berdistribusi normal [5,6,7,13]. Dikarenakan ukuran populasi pada penelitian ini kecil sehingga ukuran sampel pun kecil, maka metode SEM yang dapat diterapkan adalah PLS-SEM.…”

Road Safety Risk Assessment: An Analysis of Transport Policy and Management for Low-, Middle-, and High-Income Asian Countries

“…In this regard, the appraisal of measuring models (relations between the indicators and constructs) includes composite reliability; variance extracted; indicator reliability; and discriminant validity if there should be an occurrence of reflexive models; and variance extracted; collinearity amongst indicators; and the significance and importance of outer weights in developmental models. The appraisal of the basic model (relations between constructs), then again, considers: the coefficient of determination (R 2 ) [28,30,[32][33][34][35]. Hence, the PLS-SEM approach not just offers a scope of favorable circumstances in examination with the original multivariate methods, being exceptionally adaptable regarding the premises and test dimensioning; yet additionally gives a few likenesses OLS Regressions [28,30].…”

“…In this procedure, carefully examining factors under a construct is done and a formation of the structural diagram is formatted to analyze the relationship between dependent and independent variables. So the evaluation process involves four steps as follows [71] [32,35,68,69] ≥0.4 ≥0.50 ≥0.70…”