Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when judging whether a management/organization literature is an Academy of Management Annals (Annals)-scale review topic — mature, important, fragmented, and integrable into a new framework — rather than a narrow review. Decides fit and frames the review's animating problem; it does not gather the literature (amann-literature-synthesis) or write the proposal (amann-proposal-framing).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
A literature belongs in Annals when it passes all five. Fail one and route accordingly.
| Situation | Verdict | Action |
|---|---|---|
| Mature, broadly important, fragmented, integrable, tractable | Annals-shaped | → amann-proposal-framing |
| Important but immature | Not yet | revisit in 2–3 years; place a focused piece elsewhere |
| Mature but narrow / specialist | Wrong venue | field-journal review section, or Journal of Management |
| Mature, important, but enormous (whole discipline) | Rescope | pick a coherent axis; → amann-organizing-framework to test the cut |
| You have new theory, not a review | Wrong venue | Academy of Management Review (AMR) |
| You have new data / hypothesis tests | Wrong venue | Academy of Management Journal (AMJ) |
An Annals review is organized by a problem with the field, not a topic label. Before proposing, write one sentence of each:
【Literature】<the body of research>
【Five tests】maturity / importance / fragmentation / integrability / tractable-scope — pass or fail each
【Animating problem】"This field is fragmented/contradictory in ___ way"
【Integrative payoff】<the new way of seeing the field — seed of the framework>
【Why now】<new work / method shift / fractured debate>
【Agenda】<what becomes researchable after the review>
【Coverage skeleton】<3–6 research streams the review must cover>
【Verdict】Annals-shaped / rescope / wrong-venue (→ AMR / AMJ / field-review)
【Next skill】→ amann-proposal-framing (write the ≤5-page proposal)
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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.