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 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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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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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。