W4226154759 Working papers AI × management and organizations

Artificial Intelligence and Firm-Level Productivity

Dirk Czarnitzki · Gastón P. Fernández · Christian Rammer

Also recorded as: doi:10.2139/ssrn.4049824 · ssrn:4049824

ssrn abstract page · 2022-03-08

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 uses survey and panel data on German firms and reports positive productivity effects from AI adoption and use intensity, including an instrumental-variable analysis intended to address adoption endogeneity.

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

Scope: Universe and denominator: German firms in the study data, with count and period not displayed; unit: firm.

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 was not inspected.
  • Sample size, period, effect sizes, uncertainty, AI-intensity measurement, and instrumental-variable assumptions are not displayed.

Source independence

ssrn-only