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Low R² means that you are not able to explain much variance in your dependent variable. That can have several reasons. For example, your DV is very noisy (i.e., has a lot of variance). This may be because of error variance or because of many things contribute to the DV and your predictor is only one...

You may want to read the Primer on PLS-SEM to get a basic understanding of the method and evaluation:
https://www.smartpls.com/documentation/ ... s-sem-book

You have to calculate that yourself using the data provided under Path Coefficients > Samples

The interpretation of standardized coefficients is: when you increase the IV by one standard deviation, the DV increases by 0.53 standard deviations. It is a dimension-less measure, similar to a correlation (but not necessarily bound between -1 and 1). If all you indicators are on the same scale you...

The index of moderated mediation is given by p2*p5. You can find this as the specific indirect effect of Y1*M -> Y2 -> Y3. This is exactly p2*p5. You can assess its significance using bootstrapping.

Maybe there is simply no relationship between your variables in your context? Or you have the wrong predictors?

The p-values are based on a true null, which might not be very useful. It is only the standard option in bootstrapping. However, 1) I would not use typical p-value / t-value test here because the distribution of the reliabilities is unknown, hence I would use bootstrap confidence intervals. 2) confi...

You need to run the IPMA also for the first-stage model and then take the unstandardized latent variables scores as indicators into the next stage. This is something that I would generally recommend, as you will get the same standardized results, but have some additional flexibility. For example, it...

Sorry for the late response, I was also confused in the first moment, but you are using the example data of the corporate reputation model that is built-in to the SmartPLS software. However, the paper uses a replication of the model on a different dataset. I remember that this might have been some n...

PLS SEM is more like a CFA and thus you do not do EFA on the same dataset. If you want (or need) to do an EFA before the CFA, you should ideally have an additional dataset for this.

If the categories are not ordered and equidistant you may use a dummy coding scheme to model the ordinal variables.

All data is routinely standardized in the normal PLS algorithm. Hence, latent variable scores are also standardized. If you want unstandardized LV scores you may use the IPMA, which provides unstandardized LV scores.

You may read the following literature to understand POS segmentation: Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. 2018. Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage. Becker, J.-M., A. Rai, C. M. Ringle, and F. Völckner (2013...

Usually, researchers treat those 7-point Likert scales as quasi-metric and thus continuous. That would suggest using an interaction effect approach. In contrast, dichotomization using high and low values, for example, using a median split might lose information and is generally seen less favorably. ...

If the construct has its own indicators, it is not a higher-order construct. A higher-order construct is generally describes as a construct where not some direct observed indicators are available for measurement, but some other latent variables are the actual measures (the lower-order constructs). T...