W4205441192 Peer-reviewed research AI × management and organizations

Algorithmic governmentality and the space of ethics: Examples from ‘People Analytics’

Richard Weiskopf · Hans Kause Hansen

Also recorded as: doi:10.1177/00187267221075346

Human Relations · 2022-02-01

Recorded claims
2
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.

The abstract argues that people analytics and algorithmically driven technologies reshape ethical conduct and reflexivity through interacting mechanisms that close or reopen spaces for responsibility, contestation, and resistance.

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

Scope: abstract-level conceptual organizational study

The abstract theorizes how algorithmically driven workplace technologies reconfigure, rather than eliminate, spaces for reflexivity and ethical conduct.

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 evidence only; no full text inspected
  • Bound from an already-retained journal-query response containing multiple works; no post-audit refetch
  • 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