Manuscript Topics

Deductive and inductive research methods, based respectively on pure reasoning and experimentation, have allowed the advancement of science. Contrary to what was traditionally believed, they are not independent forms of research but complement each other and allow more significant knowledge development. Applying statistical-econometric methodologies will enable researchers to analyze data, which is increasingly necessary today. Structural Equation Modeling (SEM), a so-called second-generation methodology, is becoming increasingly popular. It allows the use of constructs, i.e. variables that are not directly observable but through indicators or manifest variables, as well as the establishment of complex relationships between such constructs. The two main approaches to estimating the relationships in a structural equation model are Covariance-Based Structural Equation Modeling (CB-SEM) and Partial Least Squares Structural Equation Modeling (PLS-SEM). The use of one or the other method in empirical research will depend on the objective pursued and the preferences and criteria of the researcher. On the other hand, the fact that SEM is a relatively new methodology implies that its theoretical development still has great potential. This Special Issue is devoted to the latest theoretical advances of the methodology and its most recent applications. In this way, both purely theoretical academics and those who base their studies on empirical data analysis can share the results of their research, thus achieving a synergy that enhances the advancement of future knowledge.

Instructions for authors
https://www.aimspress.com/era/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/