FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019354519> ?p ?o ?g. }

• W2019354519 endingPage "26" @default.
• W2019354519 startingPage "15" @default.
• W2019354519 abstract "Both data patterns and forecasting accuracy have been identified in the literature as important constructs in tourism demand forecasting. However, the relationship between the two was either ignored or addressed only indirectly. This study develops an innovative methodology to identify and categorize typical tourism demand patterns, and assesses the impact of the identified patterns on the accuracy of various tourism forecasting methods using a large data set. Four distinct patterns were identified: (1) a stable linear trend, (2) a nonlinear trend, (3) a wave-shaped trend, and (4) an abrupt change pattern. These four arrival data patterns affect the accuracy of forecasting models in a specific and systematic manner. Within the tourism industry, it might be feasible to categorize data based on a small number of typical, easily observable features. The relationships between the performance of the forecasting models and these data patterns could be exploited for optimal selection of a forecasting method, improving the accuracy of the forecasts." @default.
• W2019354519 created "2016-06-24" @default.
• W2019354519 creator A5063512323 @default.
• W2019354519 creator A5077767228 @default.
• W2019354519 creator A5083871719 @default.
• W2019354519 date "2007-04-01" @default.
• W2019354519 modified "2023-09-26" @default.
• W2019354519 title "Data Patterns and the Accuracy of Annual Tourism Demand Forecasts" @default.
• W2019354519 cites W1966554830 @default.
• W2019354519 cites W1966989925 @default.
• W2019354519 cites W1982576318 @default.
• W2019354519 cites W1991317100 @default.
• W2019354519 cites W1998906849 @default.
• W2019354519 cites W2006437445 @default.
• W2019354519 cites W2013377700 @default.
• W2019354519 cites W2015122449 @default.
• W2019354519 cites W2015266667 @default.
• W2019354519 cites W2017051432 @default.
• W2019354519 cites W2021537337 @default.
• W2019354519 cites W2035680586 @default.
• W2019354519 cites W2037326378 @default.
• W2019354519 cites W2041723679 @default.
• W2019354519 cites W2044875104 @default.
• W2019354519 cites W2047459549 @default.
• W2019354519 cites W2048665112 @default.
• W2019354519 cites W2063705157 @default.
• W2019354519 cites W2065453635 @default.
• W2019354519 cites W2068985804 @default.
• W2019354519 cites W2083109504 @default.
• W2019354519 cites W2087644559 @default.
• W2019354519 cites W2117074724 @default.
• W2019354519 cites W2118900829 @default.
• W2019354519 cites W2131453387 @default.
• W2019354519 cites W2131830135 @default.
• W2019354519 cites W2141043706 @default.
• W2019354519 cites W2157991256 @default.
• W2019354519 cites W2159715808 @default.
• W2019354519 cites W2166505250 @default.
• W2019354519 cites W2167658835 @default.
• W2019354519 cites W2171185425 @default.
• W2019354519 cites W4239162549 @default.
• W2019354519 cites W4245066337 @default.
• W2019354519 cites W4253960023 @default.
• W2019354519 cites W4256150807 @default.
• W2019354519 doi "https://doi.org/10.3727/108354207780956744" @default.
• W2019354519 hasPublicationYear "2007" @default.
• W2019354519 type Work @default.
• W2019354519 sameAs 2019354519 @default.
• W2019354519 citedByCount "5" @default.
• W2019354519 countsByYear W20193545192012 @default.
• W2019354519 countsByYear W20193545192013 @default.
• W2019354519 countsByYear W20193545192015 @default.
• W2019354519 countsByYear W20193545192022 @default.
• W2019354519 countsByYear W20193545192023 @default.
• W2019354519 crossrefType "journal-article" @default.
• W2019354519 hasAuthorship W2019354519A5063512323 @default.
• W2019354519 hasAuthorship W2019354519A5077767228 @default.
• W2019354519 hasAuthorship W2019354519A5083871719 @default.
• W2019354519 hasConcept C124101348 @default.
• W2019354519 hasConcept C149782125 @default.
• W2019354519 hasConcept C154945302 @default.
• W2019354519 hasConcept C162324750 @default.
• W2019354519 hasConcept C166957645 @default.
• W2019354519 hasConcept C177264268 @default.
• W2019354519 hasConcept C18918823 @default.
• W2019354519 hasConcept C193809577 @default.
• W2019354519 hasConcept C199360897 @default.
• W2019354519 hasConcept C205649164 @default.
• W2019354519 hasConcept C33923547 @default.
• W2019354519 hasConcept C41008148 @default.
• W2019354519 hasConcept C42475967 @default.
• W2019354519 hasConcept C58489278 @default.
• W2019354519 hasConcept C94124525 @default.
• W2019354519 hasConceptScore W2019354519C124101348 @default.
• W2019354519 hasConceptScore W2019354519C149782125 @default.
• W2019354519 hasConceptScore W2019354519C154945302 @default.
• W2019354519 hasConceptScore W2019354519C162324750 @default.
• W2019354519 hasConceptScore W2019354519C166957645 @default.
• W2019354519 hasConceptScore W2019354519C177264268 @default.
• W2019354519 hasConceptScore W2019354519C18918823 @default.
• W2019354519 hasConceptScore W2019354519C193809577 @default.
• W2019354519 hasConceptScore W2019354519C199360897 @default.
• W2019354519 hasConceptScore W2019354519C205649164 @default.
• W2019354519 hasConceptScore W2019354519C33923547 @default.
• W2019354519 hasConceptScore W2019354519C41008148 @default.
• W2019354519 hasConceptScore W2019354519C42475967 @default.
• W2019354519 hasConceptScore W2019354519C58489278 @default.
• W2019354519 hasConceptScore W2019354519C94124525 @default.
• W2019354519 hasIssue "1" @default.
• W2019354519 hasLocation W20193545191 @default.
• W2019354519 hasOpenAccess W2019354519 @default.
• W2019354519 hasPrimaryLocation W20193545191 @default.
• W2019354519 hasRelatedWork W1504659598 @default.
• W2019354519 hasRelatedWork W1543345676 @default.
• W2019354519 hasRelatedWork W2032501302 @default.
• W2019354519 hasRelatedWork W2078736197 @default.
• W2019354519 hasRelatedWork W2091018730 @default.
• W2019354519 hasRelatedWork W2098669189 @default.

• next