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 choosing or sharpening a research question for an Accounting, Organizations and Society (AOS) manuscript — testing whether the question genuinely concerns the social, organizational, behavioral or institutional life of accounting, and picking the intellectual tradition the question demands. Screens fit; it does not build the theory (aos-theory-development).
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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。
Anthony Hopwood launched AOS in 1976 precisely because the leading journals of the day treated accounting as a technical input to markets. AOS instead asks how accounting shapes and is shaped by human behavior, organizational processes, and social and political institutions. Its home turf: how budgets exercise power inside organizations (Covaleski & Dirsmith 1986); how costing regimes construct "governable persons" (Miller & O'Leary 1987); how accounting gains roles no textbook assigned it (Burchell et al. 1980); how preparers, auditors and investors actually judge and decide (Libby, Bloomfield & Nelson 2002); how audit and risk practices order social life (Power 2009). The core fit test: would the paper still matter if security prices never appeared in it? If yes, AOS is plausible. If the payoff is an asset-pricing or earnings-quality coefficient, you are writing for JAR/JAE/TAR.
The most common AOS misfire is a competent archival-financial-economics paper — Compustat/CRSP panel, fixed effects, identification appendix — with no organizational or social theorizing. Method is not the problem; AOS publishes archival work when the question is institutional or organizational and the theory is real. The problem is importing JAR's contribution logic into a journal whose founding editorial rejected it. If your draft's motivation section could open a JAE paper unchanged, stop and rethink before spending months on polish.
| If the question concerns… | Lean toward… |
|---|---|
| How accounting is practiced, resisted, or given meaning inside organizations | Qualitative field study (interviews, observation, documents) |
| How individuals judge, decide, or are influenced by accounting information | Experiment (behavioral / JDM) |
| Attitudes, roles, or practices across many organizations | Survey (validated instrument) |
| How an accounting practice or institution came to exist and with what effects | Historical / genealogical archival work |
| An institutional or regulatory shift with organizational consequences | Archival design plus social/organizational theory |
【Question】one sentence: accounting practice / actors / organizational-societal stake ...
【AOS fit】survives the no-prices test? social/organizational theorizing available? ...
【Tradition】qualitative-field / experimental / survey / historical / archival+theory — why ...
【Puzzle】what accounting does here that existing accounts cannot explain ...
【Feasibility】access, participants, archives, ethics ...
【Venue triage】AOS vs MAR / AAAJ / CPA / CAR — decision ...
【Next step】aos-theory-development
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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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