Organizational performance measurement (PM) is increasingly acknowledged as an approach that supports decision and policy making processes to improve the efficiency of organizational strategy and performance. Despite the increased adoption of PM systems, scholarly evidence indicates that a significant number of organizational PM approaches are not successful. The implementation phase of the organizational PM system development is critical in ensuring the effectiveness of the PM approach, therefore investigating the success factors that influence this phase contributes to improving the overall success of the PM approach. In order to understand the success factors for PM system implementation, a system dynamics (SD) approach can be used to develop a model to show the behavior and structure of the PM system for decision and policy analysis. Empirical evidence is needed to create and validate a holistic simulation model. However, sufficient data is often not readily available. To address this issue, a systematic literature review was conducted to identify published case studies that provide empirical evidence for the effects of common success factors. The study also suggests a methodology for addressing data availability in exploratory models. The data collected from the cases can be used to develop and calibrate the model to understand the structure of PM implementation phase and behavior of success factors. This paper provides methodological basis for identifying publications, extracting data and recommendations for future work.