AI Papers Atlas Wave 1
W7202045024 Working papers AI × management and organizations

Generative AI-Driven Business Analytics and Enterprise Information Systems: A Framework for Strategic Decision-Making, Organizational Agility, and Sector-Specific Applications

Samuel Babatunde

Also recorded as: doi:10.2139/ssrn.7217180 · ssrn:7217180

ssrn abstract page · 2026-08-10

Source of record — papers.ssrn.com See it on the corpus view
Recorded claims
1
coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
2
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 an organizational framework in which GenAI-driven analytics supports strategic decisions and agility through automated insight generation, adaptive decision support, cross-domain data integration, and feedback loops.

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

Scope: conceptual enterprise information-systems and strategic-decision framework

Structured relationships

In-corpus citations

Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.

Cites (0)

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

Cited by (0)

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

Boundaries

Limitations & independence

Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.

Recorded limitations

  • abstract-level evidence only; full text not inspected
  • the abstract states that the analysis has no primary empirical data and uses proof-of-concept scenarios

Source independence

ssrn-only