W7134921543 Working papers AI × management and organizations

Purpose, Execution, Judgement: A Framework for Human-AI Collaboration and Organisational AI Capability in the Post-ChatGPT Era

Robert Dixon

Also recorded as: doi:10.2139/ssrn.6282200 · ssrn:6282200

ssrn abstract page · 2026-03-10

Recorded claims
1
coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
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stated, never hidden

From the hash-bound evidence releases

Recorded claims

Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.

The paper integrates a Purpose–Execution–Judgement model of human-AI work with an organizational AI-capability framework covering talent, purpose, AI literacy, tools, and data infrastructure, and advances six propositions about AI-enabled value creation and enterprise transformation.

confidence: high ssrn-abstract-page apw-e1-ssrn-backfill

Scope: Conceptual organizational framework; no empirical sample, observation period, or statistical denominator

Structured relationships

In-corpus citations

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Boundaries

Limitations & independence

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Recorded limitations

  • Abstract-level evidence only; full text and PDFs were not inspected.
  • The paper advances a conceptual framework and propositions rather than original empirical validation.
  • The abstract page declares that the author is founder and CEO of an AI consultancy and that the frameworks are used in its commercial consultancy practice.

Source independence

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