Multiple factors that impact project-based organizations' workload 
fluctuation have already been identified by researchers. Although 
much effort has been devoted to finding these aspects, extant literature 
reviews lack systematic analysis and are confined to a few articles. This 
study tackles the lack of a systematic evaluation and content analysis 
of published studies related to workload fluctuation and offers statistics 
on the most prevalent variables in both the pre-award and post-award 
phases. The available body of knowledge is analyzed using the relative 
usage index (RUI) and social network analysis (SNA). RUI defines the 
gap in the frequency of modeling the variables. SNA defines the gap 
between mental models linking the variables affecting this problem and 
the applied dynamic models used to solve it. Results reveal some gaps, 
for instance, owner strictness and bid time have received very little 
attention in the literature.