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In order to proceed with a paper submission to a top journal in information systems, we need to examine the issue of endogeneity. Our analysis involves using Partial Least Squares (PLS). Are you aware of any previous research that has addressed endogeneity using PLS or a combination of PLS with other techniques or software?

In SmartPLS you can use the Gaussian copula approach to address endogeneity concerns: https://www.smartpls.com/documentation/ ... an-copula/

A further interesting research is also
Hult, G. T. M., Hair, J. F., Proksch, D., Sarstedt, M., Pinkwart, A., and Ringle, C. M. (2018). Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling. Journal of International Marketing, 26(3): 1-21.

PLS research in education refers to Partial Least Squares Structural Equation Modeling (PLS-SEM). PLS-SEM is a statistical method used to analyze relationships between observed and latent variables. In educational research, PLS-SEM allows researchers to examine complex relationships among various factors, such as student performance, teaching methods, and educational outcomes. It is particularly useful when dealing with smaller sample sizes or non-normal data, making it a flexible and robust tool for educational researchers to understand and model intricate educational processes and outcomes.