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Record W2076951281 · doi:10.5367/000000009788254368

Room Rates as Signals of Quality, Sell-Out Risk and the Prospects of Getting a Better Deal: Analytical Model and Empirical Evidence

2009· article· en· W2076951281 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTourism Economics · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQuality (philosophy)Context (archaeology)ImperfectRevenuePerfect informationEconomicsPerceptionMarketingBusinessEmpirical evidenceRevenue managementRisk perceptionEmpirical researchMicroeconomicsEconometricsFinance

Abstract

fetched live from OpenAlex

Travellers make advanced booking decisions in an imperfect information environment, an environment in which price signalling is likely to occur. This study examines the unique informational role of room rates by suggesting an analytical model of room rates as a signal of quality and sell-out risk and by testing the theory empirically. The findings indicate that, even in advanced booking situations in which consumers might associate price deviations with the hotel's revenue management policies, prices can still signal quality to the consumers. Moreover, the study demonstrates that in a deal seeking/advanced booking context, there are two additional opposing impacts of the informational role of prices. Customers' propensity to book increases with higher rates because the perception of the sell-out risk is higher. However, at the same time, customers' propensity to book decreases because the higher room rate induces a higher expectation of the offer of a better deal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.328
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it