W4417185185 Peer-reviewed research AI × management and organizations

Demystifying AI for the Workforce: The Role of Explainable AI in Worker Acceptance and Management Relations

Miles M. Yang · Ying Lu · Fang Lee Cooke

Also recorded as: doi:10.1111/joms.70039

Journal of Management Studies · 2025-12-09

Recorded claims
1
coded from the inspected source
Evidence classes
1
publisher-search-result
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 publisher issue roster identifies an article on explainable AI, worker acceptance, and management relations.

confidence: moderate publisher-search-result apw-c1-obot-journals

Scope: publisher issue-roster title and article-type metadata

Structured relationships

In-corpus citations

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

Cites (0)

No in-corpus outgoing citation is available in the current enrichment coverage.

Cited by (1)

Boundaries

Limitations & independence

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

Recorded limitations

  • The direct Wiley TOC returned HTTP 403; the retained public-search rendering supplied title, authors, date, pages, and article type.
  • No abstract or full text was inspected, so the claim is limited to title-level metadata.
  • Crossref DOI corroboration is retained in crossref_jms_v63n2_page_gaps.json (SHA256 147810058fdd85ac0c3aa15db51ce387715951dd7faab4d84937379edbd0fbb8).

Source independence

corroborated:crossref-api-metadata