W4387539693 Peer-reviewed research AI × management and organizations

Friend or Foe? Teaming Between Artificial Intelligence and Workers with Variation in Experience

Weiguang Wang · Guodong (Gordon) Gao · Ritu Agarwal

Also recorded as: doi:10.1287/mnsc.2021.00588

Management Science · 2023-10-11

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 company field study of AI-assisted medical-chart coding reports that workers with more task-specific experience benefited more, whereas senior workers gained less, likely triggered by lower trust in the AI associated with their broader responsibilities.

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

Scope: publisher-deposited abstract metadata; knowledge-worker productivity, experience, trust, and human-AI teaming; sample denominator and period are not stated

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 blocked publisher surface was not retried.
  • The captured abstract does not state the worker denominator or study period.
  • Crossref did not supply a volume or issue in the retained response; the record remains online-first at the captured manifestation level.
  • Full text was not inspected.

Source independence

publisher-only