Management Science Skills
Agent skill stack for manuscripts targeted at Management Science, the INFORMS flagship that publishes both rigorous analytical/quantitative modeling (operations research, optimization, stochastic processes, game and economic theory) and empirical research across every functional business area (accounting, finance, marketing, operations, information systems, strategy, entrepreneurship, organization
Skills in this plugin
12- ▌ Mgsci Methods · brycewang-stanfordUse when choosing and defending the method for a Management Science (INFORMS) manuscript — selecting an analytical modeling approach (optimization, stochastic, game/economic theory) or an empirical design (econometric identification, lab/field experiment, structural, data science) that matches the question and the Department's standards. It designs; it does not execute the analysis (mgsci-data-analysis).
- ▌ Mgsci Rebuttal · brycewang-stanfordUse when planning and drafting the revision and point-by-point response for a Management Science (INFORMS) R&R — prioritizing the Department Editor's binding concerns, addressing analytical-proof or empirical-identification objections, preserving double-anonymization, and keeping the revision within the page cap and Data-and-Code-Disclosure requirements. It handles the post-decision response; it does not run a fresh submission (mgsci-submission).
- ▌ Mgsci Workflow · brycewang-stanfordUse when deciding which mgsci-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Management Science (INFORMS) manuscript. Routes — it does not replace — the specialized skills, and helps pick the right Department lane (analytical vs empirical).
- ▌ Mgsci Submission · brycewang-stanfordUse when running the final pre-submission preflight for a Management Science (INFORMS) manuscript — ScholarOne seven-step upload, double-anonymization, author-year house style, the $79 submission fee and waivers, the Data and Code Disclosure package and project-page URL, and conference-proceedings disclosure. It checks readiness to submit; it does not handle the post-decision response (mgsci-rebuttal).
- ▌ Mgsci Data Analysis · brycewang-stanfordUse when executing and reporting the analysis for a Management Science (INFORMS) manuscript — proving and numerically verifying analytical results, or estimating and validating empirical models (identification, robustness, inference) to the standard of the relevant Department, and preparing a Data-and-Code-Disclosure-ready replication package. It executes; it does not design the study (mgsci-methods) or frame the contribution (mgsci-contribution-framing).
- ▌ Mgsci Writing Style · brycewang-stanfordUse when polishing the prose of a Management Science (INFORMS) manuscript — front-loading the result, keeping notation lean, writing for a cross-department reader, and conforming to author-year citation house style and the journal's preference for short, focused papers. It polishes prose and style; it does not frame the contribution (mgsci-contribution-framing) or build exhibits (mgsci-tables-figures).
- ▌ Mgsci Review Process · brycewang-stanfordUse to understand how Management Science (INFORMS) review and decisions work — the Department/area-editor desk screen, double-anonymized refereeing, the cross-department fit bar, official turnaround targets, and how to read a decision letter — before or after submitting. It explains the process; it does not draft the response (mgsci-rebuttal).
- ▌ Mgsci Tables Figures · brycewang-stanfordUse when building exhibits for a Management Science (INFORMS) manuscript — propositions and numerical-illustration figures for analytical papers, or result/identification tables and effect plots for empirical papers — keeping notation clean, exhibits self-contained, and the page budget tight for the invited-revision limit. It builds exhibits; it does not run the analysis (mgsci-data-analysis).
- ▌ Mgsci Topic Selection · brycewang-stanfordUse when shaping or stress-testing a research question for Management Science (INFORMS) — confirming the decision-relevance bar, choosing the right Department lane (analytical vs empirical), and testing fit against sister INFORMS journals (Operations Research, M&SOM, Marketing Science) so the paper is not desk-rejected as "better suited elsewhere".
- ▌ Mgsci Theory Development · brycewang-stanfordUse when building the theoretical core of a Management Science (INFORMS) paper — either a formal analytical model (assumptions, equilibrium, propositions/theorems, comparative statics) or empirically testable hypotheses derived from a clear mechanism. Adapts to the paper's lane; it does not run the analysis (mgsci-data-analysis) or frame the contribution (mgsci-contribution-framing).
- ▌ Mgsci Contribution Framing · brycewang-stanfordUse when writing the explicit contribution statement for a Management Science (INFORMS) manuscript — turning an analytical result or empirical finding into a decision-relevant insight that travels across departments, and showing why it belongs in Management Science rather than a sister INFORMS journal. It frames the "so what"; it does not run the analysis (mgsci-data-analysis) or position the literature (mgsci-literature-positioning).
- ▌ Mgsci Literature Positioning · brycewang-stanfordUse when positioning a Management Science (INFORMS) manuscript in its literature — joining the right Department's conversation, citing canonical analytical and empirical work in author-year style, and making the cross-department contribution legible so a Department Editor sees both fit and novelty. It positions; it does not state the contribution sentences (mgsci-contribution-framing).