Assessing the robustness of meta-analytic results in information systems: publication bias and outliers

Meta-analytic studies serve to generate cumulative knowledge and guide evidence-based practice. However, publication bias and outliers threaten the accuracy and robustness of meta-analytic results. Unfortunately, most meta-analytic studies in information systems (IS) research do not assess the presence of these phenomena. Furthermore, some methods commonly used for the detection of publication bias are now recognised as inappropriate. We conduct...