Measuring project performance by applying social network analyses

It is often argued that the core of organizational success efficient collaboration. Some authors even posit collaboration more important to innovation and performance than individual skills or expertise. However, lack models manage properly a major constraint for organizations profit from internal external collaborative initiatives. Currently, much in occurs through virtual network channels, such as e-mail, Yammer, Jabber, Microsoft Teams, Skype, Zoom. These are situations where different time zones threats pandemic constrain face-to-face human interactions. This work introduces multidisciplinary heuristic model developed based on project risk management social analysis centrality metrics graph-theory quantitatively measure dynamic environment. A case study illustrates proposed model's implementation application real context. The benefit applying this it enables collaborative, organizational, behavioral patterns, which can later correlate with outcomes. analyzes three dimensions: cohesion evolution, degree team set variability evolution. provides an innovative approach understand possible risks may emerge projects delivered. Organizations use identify projects' critical factors by comparing successful unsuccessful delivered behaviors if substantial number both types analyzed. also make decisions information regarding support changes observed patterns demonstrated statistical general, linear regressions particular. Further, completely bias-free data-collection process eliminates downtime. Finally, will reduce eliminate associated dynamics, leading optimized resources; transform become lean-oriented significantly contribute economic, social, environmental global sustainability.