W7202088698 Working papers AI × management and organizations

Governance, Risk, and Trust in Generative AI-Enabled Information Systems: A Cross-Domain Framework for IT Strategy, Project Management, and Healthcare Data Security

Samuel Babatunde · Muiz Shaw

Also recorded as: doi:10.2139/ssrn.7217185 · ssrn:7217185

ssrn abstract page · 2026-08-10

Recorded claims
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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 abstract develops a cross-domain organizational governance framework for GenAI-enabled information systems spanning risk classification, data-boundary control, human oversight, and regulatory alignment in IT strategy, project management, and healthcare data security.

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

Scope: conceptual AI governance framework for organizational information systems

Structured relationships

In-corpus citations

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Cites (0)

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Cited by (0)

No in-corpus incoming citation is available in the current enrichment coverage.

Boundaries

Limitations & independence

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Recorded limitations

  • abstract-level evidence only; full text not inspected
  • the abstract states that it reports no primary empirical, security-incident, or clinical data

Source independence

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