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 you must identify which theoretical conversation an Academy of Management Review (AMR) manuscript enters and how it "challenges and extends" that conversation. Positions the argument within a literature; it does NOT summarize the field (AMR punishes review-essays) and does NOT build the new theory (that is amr-theory-development).
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实测评分 未实测
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AMR is a journal of conversations. Every accepted paper enters a specific theoretical conversation and moves it. The literature section is not a catalog of who-did-what — it is the set-up of the tension your theory will resolve. Two questions govern everything:
As you characterize the conversation, define the constructs you build on or revise. Suddaby's AMR "Editor's Comments: Construct Clarity in Theories of Management and Organization" (2010, DOI 10.5465/amr.2010.0419) is the field standard: each construct needs a precise definition, scope conditions, and clear semantic relationships to neighbors. Positioning that leaves core constructs fuzzy invites the "this is a relabel" objection.
| Move | What you do |
|---|---|
| Add a missing construct | Existing theory lacks a concept needed to explain the phenomenon; you introduce and define it |
| Re-specify a relationship | A relationship treated as direct is really mediated / moderated / recursive |
| Bound a theory | You theorize the conditions under which the existing theory holds vs. fails |
| Bridge two conversations | You connect two streams that have ignored each other, generating new propositions |
| Reconceptualize a construct | You split, merge, or redefine a construct, dissolving a standing debate |
| Shift the level | A construct theorized at one level (individual) is re-theorized at another (collective) with new dynamics |
Dyer & Singh's "The Relational View" (AMR 1998, DOI 10.5465/amr.1998.1255632) is model positioning: it names two dominant conversations (the resource-based view and the industry-structure view), shows both locate competitive advantage at the wrong unit, and opens new theoretical space (relational rents accruing to dyads/networks) — challenge AND extend, by argument, with no dataset. Cite the conversation in APA-style (AOM house style).
amr-topic-selection)【Primary conversation】theory stream + seminal anchor
【Shared assumption / limit targeted】...
【Challenge】what existing theory cannot do
【Extend】the new theoretical machinery you will add
【Positioning move】add-construct / re-specify / bound / bridge / reconceptualize / shift-level
【Next step】amr-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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