management-science
GitHub用于评估论文是否适合投往管理科学(Management Science)期刊,提供领域匹配、框架重构及拒稿风险预警。适用于决定投稿部门、跨学科稿件定位及方法严谨性自查。
触发场景
安装
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill management-science -g -y
SKILL.md
Frontmatter
{
"name": "management-science",
"description": "Use when targeting Management Science (MS) or deciding whether an operations \/ finance \/ information-systems \/ marketing \/ decision-analysis \/ behavioral \/ strategy manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics."
}
Management Science (management-science)
Journal positioning
Management Science is INFORMS's flagship umbrella journal and one of the most cited business journals across the entire management spectrum. It is unusual in that it is not a single-subfield outlet: it is organized into many departments — operations management, optimization, stochastic models, finance, accounting, information systems, marketing, decision analysis, behavioral economics, entrepreneurship/innovation, strategy, organizations, healthcare, and more — each run by a department editor (DE) who owns the standards for that area. A paper succeeds when it clears the uniformly high rigor bar of the right department, whether it is a clean analytical model or a clean empirical study. The readership is the broad quantitative management community, so a paper must matter beyond its niche and be legible to scholars who are not specialists in its method.
This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the INFORMS / Management Science site and the editorial submission system.
When to trigger
- The author names Management Science / MS (or the INFORMS / FT50 / UTD24 quantitative-management elite) as the target venue.
- A rigorous analytical-modeling or empirical paper spans subfields and the author must decide which department to submit to.
- A general operations, finance, IS, marketing, or decision paper needs re-framing into a contribution that one MS department will own.
- The author needs MS's desk-reject risks and a credible field-flagship alternative list before submitting.
Scope & topic fit
- Analytical / modeling work: optimization, stochastic models, game-theoretic and mechanism-design models of operations, pricing, contracting, finance, and information economics — with a clear managerial or economic insight, not math for its own sake.
- Rigorous empirics: causal-inference field studies, structural estimation, lab and field experiments, and large-scale data work across operations, finance, IS, marketing, and behavioral domains.
- Decision analysis, behavioral operations/economics, judgment under uncertainty, and prescriptive analytics.
- Topics that fit a named department; submitting to the wrong department is the single most common avoidable error.
Method & evidence bar
- Uniformly high rigor regardless of department: analytical papers need correct, non-trivial results with proofs (typically in an appendix) and a managerial takeaway; empirical papers need credible identification or a defensible structural model.
- The contribution must be generalizable insight, not a one-context application; a model's assumptions and an empirical design's exclusion restrictions must be defended.
- Empirical causal claims meet current standards (DiD/IV/RDD/experiments, proper inference, robustness, placebo/falsification).
- Behavioral work needs adequate power, pre-registration where the department expects it, and replicable designs.
Structure & house style
- The introduction states the management problem, the modeling or empirical approach, and the general insight early; it must read to a non-specialist quantitative audience.
- Choose and signal the target department; frame the contribution in that department's language and against that department's recent MS papers.
- Proofs, extended derivations, robustness, and secondary analyses go to an electronic companion / online appendix.
- Exhibits report economic or managerial magnitudes and interpret them, not just significance or existence.
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked. - Search the live site for "Management Science submission guidelines / author instructions" and follow the current INFORMS version, including the list of departments and their stated scope.
- Re-check the current department list and DE assignments, formatting, abstract length, anonymization/double-blind policy, and reference style.
- Re-check the current data and code availability / reproducibility policy, electronic-companion rules, and disclosure/ethics requirements.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- One sentence stating the general management insight, legible to a non-specialist.
- The correct target department is identified and the framing matches it.
- The contribution is stated as a model result / identification / mechanism, not as statistical significance.
- Proofs or identification arguments are complete; robustness lives in the electronic companion.
- Abstract, anonymization, references, and data/code policy match the current MS guide.
Common desk-reject triggers
- Submitting to the wrong department, or a paper too narrow for any department's general-insight bar.
- An analytical model with a correct but managerially uninteresting result, or unrealistic assumptions with no defense.
- An empirical paper with significant coefficients but no identification or mechanism.
- A method/algorithm paper with no managerial payoff (often belongs at an INFORMS computing or OR venue).
Re-routing decision
- OR methodology, optimization, queueing, stochastic theory →
operations-research; computational/algorithmic OR or ML-for-OR →informs-journal-on-computing. - OM theory/models or empirical OM →
manufacturing-and-service-operations-management,production-and-operations-management, orjournal-of-operations-management. - IS-core contribution →
mis-quarterly,information-systems-research,journal-of-management-information-systems, orjournal-of-the-association-for-information-systems. - Finance-core → the finance top-3 (
journal-of-finance,journal-of-financial-economics,review-of-financial-studies); management-theory-core →academy-of-management-journal.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Management Science
[Topic tags] <2–3 closest topics + target department>
[Method/evidence] <does the model result or identification clear the department's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <department list / submission system / blinding / electronic companion / data-code>
[Re-route suggestion] <if not a fit, a better-matched venue>
版本历史
- 1839142 当前 2026-07-05 13:10


