In the past few years, the IS field has seen a substantial increase in the number of submissions and publications using structural equation modeling (SEM) techniques. Part of the reason may be the increase in software packages to perform such covariance-based (e.g., LISREL, EQS, AMOS, SEPATH, RAMONA, MX, and CALIS) and componentbased (e.g., PLS-PC, PLS-Graph) analysis. Viewed as a coupling of t...

A tanulmány arra keres választ, hogy a magyarországi középvállalkozások milyen fenntartható üzleti modellekkel (sustainable business model, SBM) jellemezhetők (illetve jellemezhetők-e velük egyáltalán). szerző először vállalkozások és az SBM-ek elméleti hátterét tekinti át, majd varianciaalapú strukturális egyenletek módszerével (partial least squares structural equation modelling, PLS-SEM) vég...

The specification of a measurement model as reflective or formative is the object of a lively debate. Part of the existing literature focuses on measurement model misspecification. This means that a true model is assumed and the impact on the path coefficients of using a wrong model is investigated. The majority of these studies is restricted to Structural Equation Modeling (SEM). Regarding PLS...

A Developing Model of Relationship Among Service Quality, Consumer Satisfaction, Loyalty, and Word of Mouth in Islamic Banking. This research aims to develop a measurement tool of service quality in Islamic banking sector, and examine its relationship among satisfaction, word of mouth (WOM), and consumer loyalty. A convenience sampling of 235 respondents collected from seven locations in the Lh...

Partial least squares-based structural equation modeling (PLS-SEM) is extensively used in the field of information systems, as well as in many other fields where multivariate statistical methods are employed. One of the most fundamental issues in PLS-SEM is that of minimum sample size estimation. The “10-times rule” has been a favorite due to its simplicity of application, even though it tends ...

Estimation of the mean function in nonparametric regression is usefully separated into estimating the means at the observed factor levels—a one-way layout problem— and interpolation between the estimated means at adjacent factor levels. Candidate penalized least squares (PLS) estimators for the mean vector of a one-way layout are expressed as shrinkage estimators relative to an orthogonal regre...