marketing-science
GitHub用于评估稿件是否符合Marketing Science期刊要求,提供定位、重构建议及拒稿风险预警。适用于定量营销、博弈论模型或结构计量分析论文,涵盖选题匹配、方法论标准及格式规范,辅助作者决策投稿策略。
触发场景
安装
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill marketing-science -g -y
SKILL.md
Frontmatter
{
"name": "marketing-science",
"description": "Use when targeting Marketing Science or deciding whether a quantitative-marketing manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics."
}
Marketing Science (marketing-science)
Journal positioning
Marketing Science is the INFORMS flagship for quantitative marketing and an FT50 venue. It publishes analytical models and structural/empirical industrial-organization studies of markets, firms, and consumers — econometric and game-theoretic modeling at the marketing–economics interface. The defining taste is a rigorous formal contribution: a model that yields non-obvious, testable, or managerially relevant implications, or an empirical IO study with credible identification of demand, supply, or strategic interaction. Readership is the quantitative-marketing and marketing-economics community.
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 site and the submission system.
When to trigger
- The author names Marketing Science (or the INFORMS / FT50 quantitative-marketing tier) as the venue.
- An analytical-modeling, structural-econometric, or empirical-IO marketing paper needs positioning for the quantitative wing of the field.
- An economics-flavored marketing paper (pricing, advertising, competition, platforms) needs framing as a marketing-science contribution.
- The author needs Marketing Science's desk-reject risks and a credible JMR / JM / management-science / economics alternative list.
Scope & topic fit
- Analytical models of marketing strategy: pricing, advertising, channels, competition, product design, platforms, with game-theoretic structure.
- Structural and empirical IO of demand and supply: discrete-choice demand estimation, dynamic models, auctions, two-sided markets.
- Quantitative models of consumer behavior, customer dynamics, and digital/algorithmic marketing.
- Methodological contributions to marketing modeling and estimation with a clear substantive question.
Method & evidence bar
- Analytical papers need a clean model, correct derivations/proofs, and results that are non-trivial and interpretable for marketing strategy — not modeling for its own sake.
- Structural/empirical papers need credible identification of structural parameters, attention to endogeneity (prices, advertising, selection), and model validation.
- Reduced-form empirics are held to current causal-inference standards but are most welcome when paired with or motivated by a model.
- Robustness, counterfactuals, and out-of-sample/policy experiments are expected for empirical IO work.
Structure & house style
- The front end states the strategic/market question, the modeling approach, and the key insight or estimated mechanism early.
- Analytical contributions are framed around what the model teaches that intuition or prior models did not; empirical contributions around what identification delivers.
- Marketing Science uses an unstructured abstract and a technical/online appendix for proofs, estimation detail, and robustness.
- Exhibits and propositions carry the argument; managerial/strategic implications follow from the formal results.
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 "Marketing Science submission guidelines / author instructions" and follow the current INFORMS version.
- Re-check formatting (often INFORMS LaTeX style), abstract conventions, anonymization, reference style, and the technical/online-appendix requirement.
- Re-check current data/code availability and replication policies and any disclosure/ethics requirements.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- One sentence stating the formal or empirical-IO contribution to quantitative marketing.
- Analytical results are non-obvious and interpretable; empirical results rest on credible identification.
- Endogeneity, model validation, and counterfactuals are handled to current standards.
- The introduction positions the paper against recent Marketing Science / quantitative-marketing work.
- Proofs/estimation detail, online appendix, and code/data are ready per the current guide.
Common desk-reject triggers
- An analytical model whose results are mechanical or have no managerial/marketing payoff.
- A structural/empirical paper with unaddressed endogeneity or unidentified parameters.
- A reduced-form regression with no model and no credible source of variation, offered as quantitative marketing.
- A purely behavioral or substantive paper with no modeling content.
Re-routing decision
- Behavioral experiments or measurement-led rigor →
journal-of-marketing-research; broad substantive/managerial reach →journal-of-marketing. - Consumer-behavior theory / psychological process →
journal-of-consumer-researchorjournal-of-consumer-psychology. - General OR/analytics or methods-broad modeling →
management-science; pure economics of markets →rand-journal-of-economicsor a field economics venue. - Strong but narrower marketing-strategy / B2B work →
journal-of-the-academy-of-marketing-science.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Marketing Science
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the model / identification clear Marketing Science's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / LaTeX style / abstract / technical appendix / 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


