mksc-topic-selection

GitHub

辅助评估营销科学论文选题是否具备实质重要性且可建模,判断适合分析或结构模型,并对比MS、JCR等期刊以确定最佳投稿 venue。

Marketing-Science-Skills/skills/mksc-topic-selection/SKILL.md brycewang-stanford/Awesome-Journal-Skills

触发场景

不确定选题是否符合营销科学标准 仅有相关性发现缺乏模型 在多个期刊间犹豫不决

安装

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mksc-topic-selection -g -y
更多选项

非标准路径

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Marketing-Science-Skills/skills/mksc-topic-selection -g -y

不安装直接使用

npx skills use brycewang-stanford/Awesome-Journal-Skills@mksc-topic-selection

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mksc-topic-selection -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "mksc-topic-selection",
    "description": "Use when choosing or sharpening the research question for a Marketing Science manuscript — testing whether a marketing problem is important AND admits a formal model (structural or analytical), and whether Marketing Science (not JCR\/JMR\/Management Science) is the right venue."
}

Topic Selection & Venue Fit (mksc-topic-selection)

When to trigger

  • You have a marketing phenomenon (pricing, advertising/digital, branding, channels/retail, platforms, analytics) but no modeling angle
  • You are unsure whether the question is "important" by Marketing Science standards
  • You have a finding but it is a reduced-form correlation with no model
  • You cannot decide between Marketing Science, JCR, JMR, or Management Science

The two-part fit test

Marketing Science publishes "articles that answer important research questions in marketing using mathematical modeling." A topic must pass both gates:

  1. Substantive importance. A real marketing decision or market phenomenon — how firms price, advertise, design assortments, or how consumers and markets respond — that managers or the field care about.
  2. Modelability. It can be framed as an analytical (game-theoretic) model of strategic interaction, OR a structural econometric model of demand/supply that is estimable and yields counterfactuals. If neither fits, MKSC is likely the wrong venue.

A strong MKSC topic usually implies a counterfactual or policy question — "what happens to prices, share, or welfare if the firm/platform changes X?" — that only a model can answer.

Pick the genre the question implies

  • Analytical when the insight is about strategic interaction and you want clean comparative statics (channel conflict, competitive pricing, information/targeting design).
  • Structural when you need quantitative magnitudes and counterfactuals from data (demand estimation, dynamic discrete choice, auctions, search).
  • A Frontiers topic is timely and high-impact with one dominant contribution dimension — scope it to a 6,000-word total story.

Venue contrast

  • JCR — consumer-psychology theory and experiments with no formal model. If that is your paper, target JCR.
  • JMR — broader, methods-forward marketing (modeling or behavioral); MKSC is narrower on the modeling core.
  • Management Science — general management science; if the contribution is not specifically a marketing decision, it may belong there.

Checklist

  • Question is an important marketing decision/market phenomenon, in one sentence
  • It admits a formal model (analytical or structural), not just a regression
  • There is a clear counterfactual/policy payoff a model can deliver
  • Genre (analytical / structural / Frontiers) chosen deliberately
  • Venue confirmed vs. JCR / JMR / Management Science

Anti-patterns

  • A correlation in search of a story, with no model.
  • A pure consumer-psychology effect dressed up as quantitative marketing.
  • "Important to a manager" but no tractable model — or an elegant model answering no real marketing question.

Fit pass for Marketing Science

Treat this skill as an executable review pass, not a prose hint. First lock the demand/supply mechanism, fit evidence, and counterfactual decision margin; then judge whether the current manuscript answers the venue's real reader: quantitative marketing reviewers who read the model through the managerial counterfactual it makes possible.

  • Do the pass: Score the manuscript on venue fit, novelty, evidence readiness, and audience ownership; reject a prestige-only target when a sibling venue owns the contribution more directly.
  • Return a ledger: give claim / evidence / risk / manuscript location rows, so the next agent can edit rather than rediscover the issue.
  • Sibling guard: compare against Journal of Marketing Research for empirical marketing breadth, Management Science for wider OR/MS reach, Quantitative Marketing and Economics for specialist modeling; if a sibling owns the contribution, recommend re-routing before polishing format.
  • Stop condition: do not give submission-ready advice until the pack's resources/official-source-map.md has been checked for volatile rules and the manuscript has one concrete fix for the largest venue-specific risk.

Output format

【Question】one-sentence marketing question
【Importance】why the field/manager cares
【Modelability】analytical / structural / unclear; counterfactual payoff
【Genre】analytical / structural / Frontiers
【Venue】Marketing Science vs JCR/JMR/MgmtSci — fit verdict
【Next step】mksc-theory-development

版本历史

  • 1839142 当前 2026-07-05 14:04

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元信息

文件数
0
版本
5717eab
Hash
0b38a0d8
收录时间
2026-07-05 14:04

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