In this contribution the principles behind Structural Equation Modeling (SEM) are presented. SEM is used for assessing the quality of models that are proposed on the basis of theory and experience. This contribution has an introductory level.

background: electronic learning (e-learning), is the use of electronic technology in education via computer and the internet. despite its slow adoption by faculty members, e-learning provides several benefits to individuals and organizations. this study was conducted to determine the factors influencing the adoption of e-learning by faculty members in tabriz university of medical sciences.    m...

Inference of gene regulatory network is a useful approach to understand the control systems in living cells. To obtain the better insights into the gene regulation, we developed statistical approach, based on Structural Equation Modeling (SEM) in combination with factor analysis and improved four-step procedure. This approach allowed us to reconstruct a model of transcriptional regulation that ...

Two complementary schools have come to the fore in the field of Structural Equation Modelling (SEM): covariance-based SEM and component-based SEM. The first approach has been developed around Karl Jöreskog and the second one around Herman Wold under the name "PLS" (Partial Least Squares). Hwang and Takane have proposed a new component-based SEM method named Generalized Structured Component Anal...

B a fundamental attribute of a good theory is causality, the Information Systems (IS) literature has strived to infer causality from empirical data, typically seeking causal interpretations from longitudinal, experimental, and panel data that include time precedence. However, such data are not always obtainable and observational (cross-sectional, nonexperimental) data are often the only data av...

today, many organizations plan to implement and exploit erp system due to its numerous benefits. despite these advantages, many adopting organizations have failed to achieve their intended goals through utilizing erp system. among other factors, organizational characteristics have been proposed as one of the effective factors which can influence erp success in both implementation and post-imple...

Covariance-based structural equation modeling (CB-SEM) is an increasingly popular technique for analyzing quantitative data in Information Systems research. As such, it is traditionally viewed as a method to test theory, rather than build it. However, many of the theoretical models tested with this technique show significant differences between the model and the data, which the IS community has...

the purpose of this study is the feasibility of customer relationship management implementation from employees and managers' perspective of melli bank in esfahan city by using structural equation modeling (sem). this study is applicable in terms of purpose and descriptive –survey in terms of method. the sample population of this study was employees and managers of melli bank in esfahan cit...