W4411147043 Peer-reviewed research AI × management and organizations

AI, Skill, and Productivity: The Case of Taxi Drivers

Kyogo Kanazawa · Daiji Kawaguchi · Hitoshi Shigeoka · Yasutora Watanabe

Also recorded as: doi:10.1287/mnsc.2023.01631

Management Science

Recorded claims
1
coded from the inspected source
Evidence classes
1
crossref-api-metadata
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.

A study of taxi drivers reports that AI route suggestions shortened cruising time and improved productivity for lower-skilled drivers, narrowing the productivity difference between lower- and higher-skilled workers in the studied setting.

confidence: high crossref-api-metadata apw-c1-obot-journals

Scope: publisher-deposited abstract metadata; worker productivity setting; sample denominator and study period are not stated in the captured abstract

Structured relationships

In-corpus citations

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

Boundaries

Limitations & independence

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

Recorded limitations

  • Abstract-level Crossref metadata only; the publisher landing page could not be retained because public retrieval was access-blocked.
  • Crossref supplies only a year and month for publication, so published_date is null rather than an invented day.
  • The abstract does not state the sample denominator or study period; no numerical effect-size claim is carried forward.
  • Full text was not inspected.

Source independence

publisher-only