MetaBUS as a vehicle for facilitating meta-analysis

To address new research questions and get a clearer picture of research, scientists and practitioners in human resource management have come to rely heavily on meta-analyses. However, meta-analyses may take months or years to produce and are becoming increasingly difficult to produce as the corpus of available research grows exponentially. We describe how the metaBUS platform can assist in tackling two central challenges to conducting meta-analyses. In addition, we provide a detailed description of the platform, with information on all fields included in the database. Next, we provide recommendations for three use cases: generating literature search terms by using the metaBUS taxonomy, conducting metaBUS queries to locate findings and generate first-pass meta-analyses, and identifying relevant findings that might have gone overlooked during traditional literature searches. We demonstrate a new software and a cloud-based interface that allow users to leverage the platform. We conclude with implications, limitations, and future directions.