2022/03/11 by Justin Paul, Mojtaba Barari · 5 citations
Decision Sciences · #Impact of AI and Big Data on Business and Society #Technology Adoption and User Behaviour
paper · pdf · doi:10.1002/mar.21657
openalex publication_date 2022/03/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
Abstract Meta‐analysis is a research method for systematically combining and synthesizing findings from multiple quantitative studies in a research domain. Despite its importance, most literature evaluating meta‐analyses are based on data analysis and statistical discussions. This paper takes a holistic view, comparing meta‐analyses to traditional systematic literature reviews. We described steps of the meta‐analytic process including question definition, data collection, data analysis, and reporting results. For each step, we explain the primary purpose, the tasks required of the meta‐analyst, and recommendations for best practice. Finally, we discuss recent developments in meta‐analytic techniques, which increase its effectiveness in business research.