I am conducting research on the effects of network externalities (NE) on technological adoption, where I have to test whether the chosen NEs have an effect on / are correlated with technological adoption (proxied as a dichotomous value Adoption/No Adoption) and if yes, which of those have a stronger effect. In order to test my first NE (proxied as a dichotomous value), I performed a phi coefficient test with the following results: phi=0.284 and p=0.037. For my second NE (a continuous variable) I used the point-biserial correlation test and reached the following results rpb=-0.358 and p=0.045. Now I need to conclude on which one has a stronger effect on technological adoption.

Therefore, I would like to ask if I can simply compare phi and rpb by stating which is larger (e.g. rpb=-0.358 has a stronger effect) or should I perform any computations in order to convert one of those coefficients into the other and then compare them? If it is the latter, what sort of computations should I perform?