Marketing Science Review Process Guide

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Guides academic researchers through Marketing Science editorial routing, double-anonymous evaluation criteria, and decision letter interpretation.

The mksc-review-process skill assists quantitative marketing researchers in navigating the submission, peer review, and decision evaluation process at the journal Marketing Science (MKSC). It breaks down the Senior Editor and Associate Editor double-anonymous routing workflow, clarifies first-pass screening bars, and pinpoints how reviewers evaluate structural models, empirical identification, and managerial counterfactuals. Ideal for authors preparing submissions, interpreting editorial decision letters (reject, R&R, or conditional), or deciding whether to revise or redirect to neighboring venues like JMR or Management Science.

主な機能

01Translates editorial decision letters into actionable revision requirements prioritized by the AE
02Explains the double-anonymous Senior Editor and Associate Editor editorial routing workflow
03Generates structured review-risk decision ledgers linking claims, blockers, and required manuscript edits
041,086 GitHub stars
05Details core evaluation criteria: quantitative modeling, identification, fit, and counterfactuals
06Performs neighbor tests against alternative outlets like JMR, Management Science, and QME

ユースケース

01Pre-submission review-risk assessment to stress-test model assumptions and identification strategies
02Interpreting an R&R or reject decision letter from Marketing Science to prioritize revisions
03Evaluating whether a quantitative marketing manuscript better fits MKSC, JMR, or Management Science