Partial least squares (path analysis) - why and how to interpret attached results?

For my research, I have a model with various mediators and one moderating variable (see image). I derived my data from an experiment.

Short summary:
- Incentive structure is the main IV (three treatment groups)
- Risk behaviour is the DV (continuous variable)
- Accountability is another IV, but the main hypothesis I want to assess is its interaction effect with incentive structure on risk behaviour
- The remaining variables are predicted mediators.

Now, I have assessed my main effects (inc. structure --> risk behaviour & accountability --> risk behaviour) with an ANCOVA analysis. However, for the remaining process/mediating variables I was advised to do a path, or PLS analysis.

Now, I have no single clue what this exactly is and especially why this is the right method.
I used smartPLS software to calculate the path coefficients with p-values (see attached image).

I don't want to put this in my research without knowing what it is I exactly, why I did it and what conclusions I can derive from these results..

Hopefully someone can help me with this! Thank you in advance