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.
日本語の概要は準備中です。原文の説明を表示しています。
Use when deciding which amj-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an Academy of Management Journal (AMJ) manuscript. Routes — it does not replace — the specialized skills.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This is the router. It does not replace any specialized skill; it tells you which amj- skill to use right now* for your AMJ manuscript.
Default assumption: unless the user says otherwise, treat the target as AMJ — the premier empirical management journal published by the Academy of Management (AOM), founded in 1958 and published bimonthly (Feb/Apr/Jun/Aug/Oct/Dec). AMJ's stated mission is "to publish empirical research that tests, extends, or builds management theory and contributes to management practice." It explicitly welcomes all empirical methods — qualitative, quantitative, field, laboratory, meta-analytic, and mixed — and judges every manuscript on three criteria: a strong empirical contribution, a meaningful theoretical contribution, and practical relevance. The non-negotiable bar: a strong empirical study that also makes a clear theoretical contribution. Reviewers and the action editor will ask "what new theory do we learn?" as insistently as "is the method sound?" Both must pass.
Editorial team changes: Gary A. Ballinger (University of Virginia, McIntire) is the incoming Editor-in-Chief whose team began receiving submissions on 1 July 2025; verify the current masthead at journals.aom.org/journal/amj. Impact factor and acceptance rate fluctuate (2023 JCR IF ≈ 9.5) — treat any figure as approximate and confirm on the official page.
| Current symptom | Next skill |
|---|---|
| Idea is vague; not sure it is theory-driven or AMJ-fit | amj-topic-selection |
| Hypotheses are descriptive; no clear theoretical mechanism | amj-theory-development |
| Front end reads as gap-spotting; canonical theory not engaged | amj-literature-positioning |
| Design may not match the question (level, source, timing, causality) | amj-methods |
| Have data; unsure about measurement validity, CMB, endogeneity, models | amj-data-analysis |
| Results exist but the "so what for theory" is thin | amj-contribution-framing |
| Tables/figures cluttered, off house style, or not self-explanatory | amj-tables-figures |
| Prose is jargon-heavy, passive, or buries the argument | amj-writing-style |
| Ready to submit; need the ScholarOne preflight | amj-submission |
| Want to understand how AMJ review/decisions work before/after submit | amj-review-process |
| Received an R&R; need to plan and draft the response | amj-rebuttal |
amj-topic-selection — lock a theory-driven question with AMJ fitamj-theory-development — build the mechanism and derive hypotheses a prioriamj-literature-positioning — engage canonical theory; state the conversation you joinamj-methods — match design to the question (level, source, timing, causal logic)amj-data-analysis — measurement validity, CMB, endogeneity, the right estimatoramj-contribution-framing — turn results into an explicit theoretical contributionamj-tables-figures — finalize main exhibits in AOM house styleamj-writing-style — full-manuscript prose polish (Front-loaded argument, active voice)amj-submission — ScholarOne preflight (anonymization, format, files)amj-review-process — set expectations for the developmental, multi-round processamj-rebuttal — after an R&R, plan revisions then draft the response letter
amj-tables-figuresandamj-writing-styleare late-stage polish. Do not invoke them while the theoretical contribution or identification is still unsettled — you will polish an argument you may still have to rebuild.
Fill this in before asking "what next?" — route to the first gate still marked no.
# AMJ manuscript stage card
manuscript: <working title>
gates:
theory_driven_question_locked: no # amj-topic-selection
mechanism_and_a_priori_hypotheses: no # amj-theory-development
conversation_engaged_not_gap_spotted: no # amj-literature-positioning
design_matches_question: no # amj-methods
measurement_cmb_endogeneity: no # amj-data-analysis
theoretical_contribution_explicit: no # amj-contribution-framing
exhibits_aom_house_style: no # amj-tables-figures
prose_front_loaded_active: no # amj-writing-style
scholarone_preflight_done: no # amj-submission
decision_letter_in_hand: no # yes -> amj-review-process, then amj-rebuttal
route_to: <first gate above still "no">
amj-topic-selection then amj-theory-developmentamj-literature-positioningamj-theory-developmentamj-data-analysis (common-method bias)amj-methods then amj-data-analysisamj-contribution-framingamj-submissionamj-review-process then amj-rebuttalIf your paper has no original data and is purely conceptual, AMJ is the wrong venue — target AMR.
amj-theory-development and jump to analysis — AMJ rejects atheoretical "gap-spotting."amj-tables-figures beautify exhibits before the model and contribution are settled.amj-rebuttal draft a response letter before you have actually revised the manuscript.amj-writing-style as a substitute for a real theoretical contribution — polish cannot rescue thin theory.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。