Meta‐Analytic Research in Management: Contemporary Approaches, Unresolved Controversies, and Rising Standards
By James G. Combs, T. R. Crook, Andreas Rauch. Journal of Management Studies, 2018
138 citations recorded by the source corpus.
Early meta‐analyses in management research sought primarily to resolve seemingly conflicting findings by estimating a relationship’s population‐level effect size. Since then, management researchers have adopted increasingly sophisticated approaches that permit new theorizing, testing and comparing sophisticated models, and identifying boundary conditions. We summarize three of these approaches – i.e., qualitative meta‐analysis (QMA), meta‐analytic structural equation modeling (MASEM), and meta‐analytic regression analysis (MARA) – along with the special issue papers that adopt each approach. We conclude by raising three unresolved controversies that we believe deserve more attention and by offering our thoughts about how to maximize a meta‐analytic study’s chances for publication and impact.
Subfields: Management Information Systems, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/6459b0731c84f81f56b01f940f38976c7d888c15
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In Management Information Systems
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- Abhay K. Singh
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- M. Linnenluecke
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- J. Smyrk
In Organizational Behavior and Human Resource Management
Citations in the corpus
- Conducting systematic literature reviews and bibliometric analyses (2019, methodology): “To overcome such limitations, management researchers are increasingly adopting meta-analytical approaches to create ‘supersamples’ that allow the summary of information and results from across studies (Combs et al., 2019).”
- Organizational responses to performance feedback: A meta-analytic review (2019, methodology): “Following Aguinis et al. (2018) and Combs et al. (2018), we report sample size, variable operationalization (aspirations and organizational actions), data collection procedures, time and location of data collection, and sample characteristics for each study.”