Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895563263> ?p ?o ?g. }
- W2895563263 endingPage "756" @default.
- W2895563263 startingPage "734" @default.
- W2895563263 abstract "Demand uncertainty is a fundamental characteristic of the hospitality industry. Hotel room inventory is fixed, and devising an accurate daily demand measurement is a key operational challenge. In practice, it is difficult to predict the industry stability and capture demand uncertainty, so the industry relies on demand estimates. This process of estimation affects revenue maximization, as it is sensitive to incremental costs. In this article, we implemented vector autoregressive (VAR) models and compared them to the Bayesian VAR to examine the accuracy of predicting demand. We evaluated the results using a new measure of forecasting accuracy, the mean arctangent absolute percentage error (MAAPE). The results generated from the forecasts confirm the significant improvement in forecasting performance that can be obtained using the Bayesian model. It is noteworthy that the VAR performs the best for the lower horizons. The results also suggest that MAAPE outperforms other existing accuracy measures, in terms of error rates." @default.
- W2895563263 created "2018-10-12" @default.
- W2895563263 creator A5090213109 @default.
- W2895563263 date "2018-10-04" @default.
- W2895563263 modified "2023-09-23" @default.
- W2895563263 title "Forecasting hotel demand uncertainty using time series Bayesian VAR models" @default.
- W2895563263 cites W1500470240 @default.
- W2895563263 cites W1518940614 @default.
- W2895563263 cites W1536025864 @default.
- W2895563263 cites W1966554830 @default.
- W2895563263 cites W1971230665 @default.
- W2895563263 cites W1977634197 @default.
- W2895563263 cites W1984468169 @default.
- W2895563263 cites W1985789769 @default.
- W2895563263 cites W1991556512 @default.
- W2895563263 cites W1992107955 @default.
- W2895563263 cites W1993230942 @default.
- W2895563263 cites W1998569973 @default.
- W2895563263 cites W2006746888 @default.
- W2895563263 cites W2016210396 @default.
- W2895563263 cites W2016530174 @default.
- W2895563263 cites W2029463454 @default.
- W2895563263 cites W2034159772 @default.
- W2895563263 cites W2044875104 @default.
- W2895563263 cites W2048914132 @default.
- W2895563263 cites W2062750225 @default.
- W2895563263 cites W2066037679 @default.
- W2895563263 cites W2078382796 @default.
- W2895563263 cites W2080840193 @default.
- W2895563263 cites W2093647618 @default.
- W2895563263 cites W2097580026 @default.
- W2895563263 cites W2107802088 @default.
- W2895563263 cites W2124983921 @default.
- W2895563263 cites W2128130077 @default.
- W2895563263 cites W2134239854 @default.
- W2895563263 cites W2141256898 @default.
- W2895563263 cites W2148557226 @default.
- W2895563263 cites W2154326182 @default.
- W2895563263 cites W2157809841 @default.
- W2895563263 cites W2158777221 @default.
- W2895563263 cites W2168175751 @default.
- W2895563263 cites W2297152540 @default.
- W2895563263 cites W2614854554 @default.
- W2895563263 cites W2764438176 @default.
- W2895563263 cites W2766077818 @default.
- W2895563263 cites W2770058355 @default.
- W2895563263 cites W2947626232 @default.
- W2895563263 cites W3121748989 @default.
- W2895563263 cites W3122598275 @default.
- W2895563263 cites W3123794082 @default.
- W2895563263 cites W3125564208 @default.
- W2895563263 cites W4214937441 @default.
- W2895563263 cites W4230206799 @default.
- W2895563263 cites W4230644069 @default.
- W2895563263 cites W4255727597 @default.
- W2895563263 cites W4301266338 @default.
- W2895563263 cites W74203006 @default.
- W2895563263 doi "https://doi.org/10.1177/1354816618801741" @default.
- W2895563263 hasPublicationYear "2018" @default.
- W2895563263 type Work @default.
- W2895563263 sameAs 2895563263 @default.
- W2895563263 citedByCount "17" @default.
- W2895563263 countsByYear W28955632632019 @default.
- W2895563263 countsByYear W28955632632020 @default.
- W2895563263 countsByYear W28955632632021 @default.
- W2895563263 countsByYear W28955632632022 @default.
- W2895563263 countsByYear W28955632632023 @default.
- W2895563263 crossrefType "journal-article" @default.
- W2895563263 hasAuthorship W2895563263A5090213109 @default.
- W2895563263 hasConcept C107673813 @default.
- W2895563263 hasConcept C119857082 @default.
- W2895563263 hasConcept C149782125 @default.
- W2895563263 hasConcept C151406439 @default.
- W2895563263 hasConcept C154945302 @default.
- W2895563263 hasConcept C159877910 @default.
- W2895563263 hasConcept C160234255 @default.
- W2895563263 hasConcept C162324750 @default.
- W2895563263 hasConcept C193809577 @default.
- W2895563263 hasConcept C21547014 @default.
- W2895563263 hasConcept C41008148 @default.
- W2895563263 hasConceptScore W2895563263C107673813 @default.
- W2895563263 hasConceptScore W2895563263C119857082 @default.
- W2895563263 hasConceptScore W2895563263C149782125 @default.
- W2895563263 hasConceptScore W2895563263C151406439 @default.
- W2895563263 hasConceptScore W2895563263C154945302 @default.
- W2895563263 hasConceptScore W2895563263C159877910 @default.
- W2895563263 hasConceptScore W2895563263C160234255 @default.
- W2895563263 hasConceptScore W2895563263C162324750 @default.
- W2895563263 hasConceptScore W2895563263C193809577 @default.
- W2895563263 hasConceptScore W2895563263C21547014 @default.
- W2895563263 hasConceptScore W2895563263C41008148 @default.
- W2895563263 hasIssue "5" @default.
- W2895563263 hasLocation W28955632631 @default.
- W2895563263 hasOpenAccess W2895563263 @default.
- W2895563263 hasPrimaryLocation W28955632631 @default.
- W2895563263 hasRelatedWork W2042380567 @default.
- W2895563263 hasRelatedWork W2077706297 @default.
- W2895563263 hasRelatedWork W2772689174 @default.