W4402596024 Working papers AI × management and organizations

Artificial Intelligence Along Supply Chains

Ling Cen · Yanru Han · Jiaping Qiu · Jing Wu

Also recorded as: doi:10.2139/ssrn.4929988 · ssrn:4929988

ssrn abstract page · 2024-09-18

Recorded claims
3
coded from the inspected source
Evidence classes
2
ssrn-abstract-page, ssrn-ejournal-listing
Recorded limitations
4
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 studies diffusion of AI from principal customers to dependent suppliers and uses several empirical strategies, including an H-1B visa-lottery design, to address endogeneity.

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

Scope: universe: economically linked customer-supplier firms; unit: firm and supply-chain relationship; period and denominator: not reported in the abstract

It reports learning rather than catering as the main mechanism, stronger effects with relationship-specific investment and interaction, and supplier benefits through quality improvement and cost reduction.

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

Scope: abstract-level result summary; sample denominator not reported

At inspection time, the public Organizations & Markets: Formal & Informal Structures all-years search for artificial intelligence displayed this work among 50 postings.

confidence: high ssrn-ejournal-listing apw-e1-ssrn-backfill

Scope: universe: filtered O&M Formal & Informal Structures listing; unit: posting; period: all years through 2026-08-20; denominator: 50 displayed postings

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 and no PDF was downloaded.
  • O&M membership is evidenced by the retained public Formal & Informal Structures listing result. Its result URL is session-contextual and omits the journal_id; the retained bytes display the exact family label, query, and 50-posting denominator.
  • The abstract reports neither sample size nor study period; no prevalence or population-generalization claim is made.
  • The abstract page is all-rights-reserved with no reuse without permission; the record paraphrases only.

Source independence

ssrn-only