W4399802130 Peer-reviewed research AI × management and organizations

Aversion to Hiring Algorithms: Transparency, Gender Profiling, and Self-Confidence

Marie-Pierre Dargnies · Rustamdjan Hakimov · Dorothea Kübler

Also recorded as: doi:10.1287/mnsc.2022.02774

Management Science · 2024-06-19

Recorded claims
1
coded from the inspected source
Evidence classes
1
journal-toc-listing
Recorded limitations
2
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 publisher preview uses worker and manager roles to study resistance to algorithmic hiring decisions.

confidence: high journal-toc-listing apw-c1-obot-journals

Scope: publisher TOC preview 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

  • Publisher TOC preview abstract is truncated; full text was not inspected.
  • Special-issue membership is established by the issue heading.

Source independence

publisher-only