W7134891178 Working papers AI × management and organizations

Integrating Data Analytics and Artificial Intelligence for Forecasting Revenue Streams in Maritime and Financial Institutions

Adekola Kamaldeen

Also recorded as: doi:10.2139/ssrn.6088407 · ssrn:6088407

ssrn abstract page · 2026-02-19

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 synthesizes prior empirical and institutional literature on AI-enabled revenue forecasting in maritime authorities and financial institutions, especially in developing economies.

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

Scope: abstract-level synthesis; unit: maritime and financial institution; period and denominator: not reported

It reports that predictive analytics can support forecasting, planning, decision-making, and institutional resilience, while distinguishing maritime tariff and demand uses from financial customer and investment-flow uses.

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

Scope: author-reported synthesis; source count and study denominator not reported in the abstract

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 calls the work a synthesis but reports neither the number of sources nor a systematic selection denominator; its conclusions are recorded as author-reported, not prevalence estimates.
  • The abstract page is all-rights-reserved with no reuse without permission; the record paraphrases only.

Source independence

ssrn-only