W4411006757 Peer-reviewed research AI × management and organizations

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision-Making Processes and Decision Quality in Team–AI Collaboration

Désirée Zercher · Ekaterina Jussupow · Ivo Benke · Armin Heinzl

Also recorded as: doi:10.1002/job.2898

Journal of Organizational Behavior · 2025-06-02

Recorded claims
2
coded from the inspected source
Evidence classes
1
crossref-api-metadata
Recorded limitations
3
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 Crossref abstract describes an experiment comparing human teams and team–AI knowledge configurations to study decision-making asymmetries and decision quality.

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

Scope: publisher-deposited abstract-level metadata

The abstract reports that how knowledge is distributed between human and AI team members shapes information asymmetries, trust, collaboration processes, and decision quality.

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

Scope: abstract-level

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 Early View listing returned an access challenge and was not used.
  • Crossref metadata only; full text was not inspected.
  • The publisher surface was not queried after the lane’s quarantined dynamic-challenge response; no independent publisher-page verification was attempted.

Source independence

publisher-only