jmgmt-methods
brycewang-stanford/Awesome-Journal-Skills
This comprehensive guide assists researchers in structuring and refining empirical studies for submission to top management journals. It addresses critical methodological pitfalls, including common-method bias, endogeneity, and multilevel structures. Learn how to correctly match theoretical claims (e.g., causal effects, temporal processes) to appropriate designs (experiments, panel data, meta-analysis) to ensure rigorous scientific validity and statistical integrity.