Determining sample size requirements for structural equation modeling (SEM) is a challenge often faced by investigators, peer reviewers, and grant writers. One study found that 80 per cent of the research articles  in a particular stream of SEM literature drew conclusions from insufficient samples. This paper aims to suggest substantive applications of techniques verifying adequate sample size needed to produce trustworthy result when researchers conduct structural equation modeling technique in supply chain management (SCM) discipline. The paper reviewed a set of 42 empirical research articles in supply chain management research with respect to the application of structural equation modeling, choice of its sample size, conducted modern techniques and related factors affecting the decision. It is concluded that most of the studies achieve widely accepted rules of thumb with sufficient observations in sample size. However, there is no considerable attention paid to important influenced factors and very few studies take notice of modern sample size estimation technique such as statistical power analysis. Based on the critical analysis, recommendations are offered.