AI Papers Atlas Wave 1
W4394837288 Peer-reviewed research AI × management and organizations

Strategic Responses to Algorithmic Recommendations: Evidence from Hotel Pricing

Daniel Garcia · Juha Tolvanen · Alexander K. Wagner

Also recorded as: doi:10.1287/mnsc.2022.03740

Management Science · 2024-04-16

Source of record — doi.org See it on the corpus view
Recorded claims
2
coded from the inspected source
Evidence classes
2
crossref-api-metadata, journal-toc-listing
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 explains how human adjustment costs and strategic bias in algorithmic hotel-pricing advice can lead to suboptimal decisions.

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

Scope: abstract-level

The publisher preview examines hotel managers' strategic responses to algorithmic price recommendations and associated adjustment frictions.

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.

Cites (2)

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

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

Source independence

publisher-only