W4401252334 Peer-reviewed research AI × management and organizations

Algorithmic Embeddedness and the ‘Gig’ Characteristics Model: Examining the Interplay between Technology and Work Design in Crowdwork

Francesca Bellesia · Elisa Mattarelli · Fabiola Bertolotti · Maurizio Sobrero

Also recorded as: doi:10.1111/joms.13130

Journal of Management Studies · 2024-08-02

Recorded claims
2
coded from the inspected source
Evidence classes
1
crossref-api-metadata
Recorded limitations
5
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 describes a systematic review of online task crowdwork and introduces algorithmic embeddedness as a work characteristic capturing how deeply algorithms are intertwined with job execution on crowdwork platforms.

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

Scope: publisher-deposited abstract metadata observed 2026-08-20

The review introduces algorithmic embeddedness as a work characteristic for explaining how platform technologies shape crowdwork job design.

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

Scope: abstract-level

Structured relationships

In-corpus citations

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Boundaries

Limitations & independence

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Recorded limitations

  • Crossref public API abstract-level evidence only; full text was not inspected.
  • The public abstract does not state the review-corpus denominator.
  • Publisher HTML was not inspected after a representative Wiley DOI page returned HTTP 403.
  • 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