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

by @brycewang-stanford 12 skills

Skills in this plugin

12
  1. Mgsci Methods · brycewang-stanford
    Use 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).
    1k repo stars
  2. Mgsci Rebuttal · brycewang-stanford
    Use 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).
    1k repo stars
  3. Mgsci Workflow · brycewang-stanford
    Use 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).
    1k repo stars
  4. Mgsci Submission · brycewang-stanford
    Use 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).
    1k repo stars
  5. Mgsci Data Analysis · brycewang-stanford
    Use 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).
    1k repo stars
  6. Mgsci Writing Style · brycewang-stanford
    Use 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).
    1k repo stars
  7. Mgsci Review Process · brycewang-stanford
    Use 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).
    1k repo stars
  8. Mgsci Tables Figures · brycewang-stanford
    Use 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).
    1k repo stars
  9. Mgsci Topic Selection · brycewang-stanford
    Use 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".
    1k repo stars
  10. Mgsci Theory Development · brycewang-stanford
    Use 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).
    1k repo stars
  11. Mgsci Contribution Framing · brycewang-stanford
    Use 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).
    1k repo stars
  12. Mgsci Literature Positioning · brycewang-stanford
    Use 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).
    1k repo stars