But still if research think to use convenience sampling, some rules are given below

From Hair et al. 2014 book

PLS-SEM has higher levels of statistical power in situations with complex model structures or smaller sample sizes.

Unfortunately, some researchers believe that sample size considerations do not play a role in the application of PLS-SEM. This idea is

fstered by the often-cited 10 times rule (Barclay, Higgins, & Thompson,

1995),which indicates

the sample size should be equal to the larger of

**1. 10 times the largest number of formative indicators used to**

measure a single construct, or

2. 10 times the largest number of structural paths directed at a

particular construct in the structural model.

This rule of thumb is equivalent to saying that the minimum

sample size should be 10 times the maximum number of arrowheads

pointing at a latent variable anywhere in the PLS path model. While

the 10 times rule offers a rough guideline for minimum sample size

requirements, PLS-SEM-like any statistical technique-requires

researchers to consider the sample size against the background of the

model and data characteristics (Hair, Ringle, & Sarstedt, 2011).

**Specifically, the required sample size should be determined by means**

of power analyses based on the part of the model with the largest

number of predictors.