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A literature search can return hundreds of papers.
But only a handful usually shape how a field actually thinks about a problem.
How do researchers identify those influential studies?
This blog explains the signals to look for:
Causality is where much business research quietly becomes fragile.
Strong language often outruns what observational data and identification strategies can actually support. The issue is rarely bad methods. It is how confidently results are interpreted.
sciweave.com/blog/what-busi…
Economic and finance claims often look more definitive than the underlying evidence really is.
Statistical significance and robustness checks can create confidence that outpaces identification, assumptions, or data limits.
How to read these claims with discipline:
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