The effective implementation of waste management strategies in construction projects requires the identification of critical factors that affect the behavior regarding waste management as well as quantifying the relationships between causal factors. In this context, the Bayesian Networks (BN) analysis technique is an effective means that not only identifies the influencing factors but also establishes a probabilistic relational network among causal factors, thereby providing a methodology to identify potential strategies for improving behavior towards construction waste management. The comprehensive literature review, presented in this paper, is a vital source of information required to build a research model that includes key factors influencing behavior towards waste and to construct a structured questionnaire. As such, the research model, along with the data collected, is necessary to demonstrate the application of the proposed BN model in the real world.