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.
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Use when scoping or sanity-checking a research question for an Academy of Management Journal (AMJ) manuscript — fit, theory-drivenness, and feasibility. Decides whether the idea can earn a theoretical contribution; it does not build the theory itself (use amj-theory-development) or position the literature (amj-literature-positioning).
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
AMJ's mission is "to publish empirical research that tests, extends, or builds management theory and contributes to management practice," and it judges every paper on three criteria: a strong empirical contribution, a meaningful theoretical contribution, and practical relevance. The fit test below operationalizes those criteria.
AMJ routes manuscripts to divisional action editors. Knowing your home sharpens framing:
| If your core construct is... | Likely division / framing |
|---|---|
| Individuals/teams (motivation, leadership, emotion) | Micro / OB |
| Firms/industries (strategy, performance, M&A) | Macro / strategy |
| Selection, training, turnover, careers | HR |
| New ventures, founders, opportunity | Entrepreneurship |
| Institutions, identity, sensemaking, fields | Organization theory / OMT |
Frame the question in the vocabulary of its home division and cite that division's recent AMJ papers.
【Phenomenon】one sentence (what happens in the world)
【Focal theory / lens】...
【Research question】why/when ...
【Tension / surprise】rival prediction or puzzle ...
【Candidate theoretical contribution】one line ...
【Division / framing home】micro / macro / HR / entrepreneurship / OMT
【AMJ fit verdict】fit / borderline / better at AMR/ASQ/SMJ/field
【Next step】amj-theory-development (build mechanism + hypotheses)
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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.
中文简介正在准备中。当前显示原文说明。
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.
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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.
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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.
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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.
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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.
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