W4401698942 Working papers AI × management and organizations

Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors

Felipe A. Csaszar · Harsh Ketkar · Hyunjin Kim

Also recorded as: doi:10.2139/ssrn.4913363 · ssrn:4913363

ssrn abstract page · 2024-08-19

Recorded claims
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coded from the inspected source
Evidence classes
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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.

Using an accelerator program and a startup competition, the authors report that the tested large language models generated and evaluated strategies at levels comparable to entrepreneurs and investors and develop a framework linking AI-assisted strategic search, representation, and aggregation to possible firm outcomes.

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

Scope: Universe: strategic tasks and participants in one unnamed accelerator and one unnamed startup competition; unit: strategic output or evaluation; period and participant denominator: not displayed; no numerical statistic is asserted here.

Structured relationships

In-corpus citations

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Cites (0)

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Boundaries

Limitations & independence

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Recorded limitations

  • Abstract-level evidence only; full text was not inspected.
  • Participant count, models, task dates, measures, benchmark distribution, and uncertainty are not displayed; prospective competitive implications are not demonstrated firm outcomes.
  • The displayed written date follows the initial posting date.

Source independence

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