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amr-contribution-framing

Use when articulating and differentiating the theoretical contribution of an Academy of Management Review (AMR) manuscript — showing precisely what is NEW versus prior theory and why it matters.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill amr-contribution-framing

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Our assessment of amr-contribution-framing

amr-contribution-framing scores 85/100 on our quality scale, 2316th of 4,615 Development & Engineering skills we index.

Its SKILL.md is 5.5 KB long, well organised into 11 sections with 1 code example: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 19 days ago, so amr-contribution-framing is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

amr-contribution-framing compared with similar skills

All 4 of these similar skills score higher than amr-contribution-framing; compare them before choosing.

SkillScoreStarsUpdatedFormat
amr-contribution-framing (this skill)by brycewang-stanford851.2k19d agoSKILL.md
ai-job-searchby MadsLorentzen10044.9k1d agoCLAUDE.md
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pptxby anthropics100177.9k11d agoSKILL.md

Frequently asked questions

How do I install amr-contribution-framing?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill amr-contribution-framing. The install tabs above show the steps for each supported agent.
Which AI agents does amr-contribution-framing work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is amr-contribution-framing safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is amr-contribution-framing still maintained?
The repository was last updated 19 days ago, so amr-contribution-framing is actively maintained.

name: amr-contribution-framing description: Use when articulating and differentiating the theoretical contribution of an Academy of Management Review (AMR) manuscript — showing precisely what is NEW versus prior theory and why it matters. Frames the contribution; it does NOT build the theory (amr-theory-development) or check its internal logic (amr-data-analysis).

Contribution Framing: What Is New, and So What (amr-contribution-framing)

When to trigger

  • The theory is built and logic-checked, but the "contribution" is vague
  • A reviewer would write "I don't see what's new here"
  • Your contribution paragraph restates the propositions instead of differentiating them
  • You cannot say, in one sentence, what scholars can now explain that they could not

The AMR contribution bar

AMR seeks "novel, insightful, and carefully crafted conceptual articles that challenge conventional wisdom." Whetten's classic AMR editorial, "What Constitutes a Theoretical Contribution?" (1989, DOI 10.5465/amr.1989.4308371), is the rubric: a complete contribution specifies the What (constructs), How (relationships), Why (the underlying logic), and Who/Where/When (boundary conditions). The Why is the centerpiece — it is what separates theory from description. AMR's scope frames the four legitimate contribution paths: develop new theory; significantly challenge or clarify existing theory; synthesize advances into fresh theory; or identify and delineate a novel theoretical problem.

The two questions AMR contributions must answer

  1. What is new? Not "we studied X" — AMR has no studies. What theoretical machinery did not exist before this paper? A new construct, a new mechanism, a new process model, a re-specified relationship, a dissolved debate.
  2. So what? Why does the new machinery matter to the conversation? What does it let scholars do, see, or explain that the prior theory did not?

A contribution claim that cannot be stated as "Before this paper, theory could not X; after it, theory can X" is not yet a contribution.

Differentiation: contribution vs. prior work

The single most common AMR rejection reason is "contribution not differentiated from prior work." Defend against it explicitly:

  • Name the closest prior theory and state, concretely, how yours differs — not "we go further" but in what specific respect.
  • Distinguish from relabeling: if a reviewer could map your construct one-to-one onto an existing one, you have a synonym, not a contribution (cf. Suddaby on construct clarity, AMR 2010, DOI 10.5465/amr.2010.0419).
  • Distinguish from incremental moderation: "we add a moderator" is usually an empirical contribution, not a theoretical one. AMR wants a change in the theory, not a new contingency to test.

Sizing the contribution

| Contribution type | Strength at AMR | |-------------------|-----------------| | New theory / reconceptualization that reorients a conversation | Strongest | | New construct + mechanism that explains a persistent puzzle | Strong | | Bridging two conversations to generate new propositions | Strong | | Bounding an existing theory in a newly theorized way | Solid | | Adding a contingency/moderator to existing theory | Usually too thin for AMR alone | | Reviewing/organizing a literature | Not a theoretical contribution |

Exemplar

Dyer & Singh's "The Relational View" (AMR 1998, DOI 10.5465/amr.1998.1255632) states its "before → after" crisply: before, competitive advantage was theorized at the firm or industry level; after, relational rents can accrue to dyads and networks, with four specified sources. That is new theoretical machinery, differentiated from the nearest prior theories — not a relabel and not an added moderator.

Implications (part of the contribution)

A complete AMR contribution closes with implications:

  • For theory: which conversations are changed; what new questions open.
  • For future research: how the propositions could eventually be examined (you point the way; you do not test).
  • For practice: what managers/organizations would do differently if the theory holds — stated as reasoned implication, not as empirically proven advice.

Checklist

  • [ ] The "what's new" is stated as theoretical machinery that did not exist before
  • [ ] The contribution is framed as "before → after" (what theory can now explain)
  • [ ] The closest prior theory is named and the specific difference stated
  • [ ] The contribution is not a relabel and not merely an added moderator
  • [ ] Implications for theory, future research, and practice are present and proportional
  • [ ] The contribution claim matches what the propositions actually deliver (no over-claim)

Anti-patterns

  • "Contribution" paragraph that just restates the propositions
  • Claiming novelty without naming or engaging the nearest prior theory
  • Over-claiming: a modest extension sold as a paradigm shift
  • A new label for an old construct presented as new theory
  • Practice implications written as proven prescriptions ("managers should...") rather than reasoned consequences of the theory
  • Listing three "contributions" that are really one restated three ways

Output format

【What's new】the theoretical machinery that did not exist before
【Before → after】theory could not X; now it can X
【Closest prior theory】name + the specific difference
【Contribution type】reconceptualization / new construct+mechanism / bridge / bounding
【Implications】theory / future research / practice
【Over-claim risk】none / trim to: ...
【Next step】amr-tables-figures

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryDevelopment
Updated19d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions