Matches in SemOpenAlex for { <https://semopenalex.org/work/W2524546982> ?p ?o ?g. }
- W2524546982 endingPage "275" @default.
- W2524546982 startingPage "267" @default.
- W2524546982 abstract "A detailed understanding of tourists’ preferences is of great importance both for decision-making theory and destination marketing practice. This study investigates the use of consideration-set formation together with conjoint analysis to estimate the destination preferences of Chinese long-haul outbound tourists. Through the integration of choice-set and characteristic theories, the study demonstrates how to optimise the advantages of both approaches in order to obtain more comprehensive insights into destination choice processes. The findings show that preferences can be analysed effectively in a two-stage model, which can reveal detailed additional insights regarding tourists’ preferences towards destination attributes that cannot be gained through each approach independently, thus contributing to marketing insight on destination choice and selection." @default.
- W2524546982 created "2016-10-07" @default.
- W2524546982 creator A5002067603 @default.
- W2524546982 creator A5077089331 @default.
- W2524546982 creator A5088953253 @default.
- W2524546982 date "2017-09-01" @default.
- W2524546982 modified "2023-10-10" @default.
- W2524546982 title "Digging deeper into decision-making of Chinese long-haul outbound tourists: A two-stage preference - estimation approach" @default.
- W2524546982 cites W1124571317 @default.
- W2524546982 cites W1488048613 @default.
- W2524546982 cites W1554266005 @default.
- W2524546982 cites W1964418734 @default.
- W2524546982 cites W1985660897 @default.
- W2524546982 cites W1988991123 @default.
- W2524546982 cites W1994470383 @default.
- W2524546982 cites W2002796769 @default.
- W2524546982 cites W2006267340 @default.
- W2524546982 cites W2011869944 @default.
- W2524546982 cites W2015059003 @default.
- W2524546982 cites W2018727897 @default.
- W2524546982 cites W2019979628 @default.
- W2524546982 cites W2026808518 @default.
- W2524546982 cites W2046344160 @default.
- W2524546982 cites W2047021735 @default.
- W2524546982 cites W2049606220 @default.
- W2524546982 cites W2053399059 @default.
- W2524546982 cites W2053932721 @default.
- W2524546982 cites W2061896154 @default.
- W2524546982 cites W2071321226 @default.
- W2524546982 cites W2073254665 @default.
- W2524546982 cites W2083329137 @default.
- W2524546982 cites W2084476769 @default.
- W2524546982 cites W2087517712 @default.
- W2524546982 cites W2093031428 @default.
- W2524546982 cites W2101942442 @default.
- W2524546982 cites W2102927226 @default.
- W2524546982 cites W2106083432 @default.
- W2524546982 cites W2110393773 @default.
- W2524546982 cites W2111540864 @default.
- W2524546982 cites W2120088853 @default.
- W2524546982 cites W2125613961 @default.
- W2524546982 cites W2128547968 @default.
- W2524546982 cites W2132912317 @default.
- W2524546982 cites W2133145231 @default.
- W2524546982 cites W2137496221 @default.
- W2524546982 cites W2138423627 @default.
- W2524546982 cites W2154618044 @default.
- W2524546982 cites W2154801522 @default.
- W2524546982 cites W2156799384 @default.
- W2524546982 cites W2159518934 @default.
- W2524546982 cites W2165095988 @default.
- W2524546982 cites W2166600285 @default.
- W2524546982 cites W2169544198 @default.
- W2524546982 cites W3124228313 @default.
- W2524546982 cites W804779422 @default.
- W2524546982 doi "https://doi.org/10.1016/j.jdmm.2016.09.004" @default.
- W2524546982 hasPublicationYear "2017" @default.
- W2524546982 type Work @default.
- W2524546982 sameAs 2524546982 @default.
- W2524546982 citedByCount "10" @default.
- W2524546982 countsByYear W25245469822017 @default.
- W2524546982 countsByYear W25245469822018 @default.
- W2524546982 countsByYear W25245469822019 @default.
- W2524546982 countsByYear W25245469822020 @default.
- W2524546982 countsByYear W25245469822021 @default.
- W2524546982 countsByYear W25245469822022 @default.
- W2524546982 crossrefType "journal-article" @default.
- W2524546982 hasAuthorship W2524546982A5002067603 @default.
- W2524546982 hasAuthorship W2524546982A5077089331 @default.
- W2524546982 hasAuthorship W2524546982A5088953253 @default.
- W2524546982 hasBestOaLocation W25245469822 @default.
- W2524546982 hasConcept C10138342 @default.
- W2524546982 hasConcept C144133560 @default.
- W2524546982 hasConcept C149782125 @default.
- W2524546982 hasConcept C154945302 @default.
- W2524546982 hasConcept C162324750 @default.
- W2524546982 hasConcept C162853370 @default.
- W2524546982 hasConcept C163839840 @default.
- W2524546982 hasConcept C166957645 @default.
- W2524546982 hasConcept C175444787 @default.
- W2524546982 hasConcept C177264268 @default.
- W2524546982 hasConcept C182306322 @default.
- W2524546982 hasConcept C187736073 @default.
- W2524546982 hasConcept C199360897 @default.
- W2524546982 hasConcept C205649164 @default.
- W2524546982 hasConcept C2778054375 @default.
- W2524546982 hasConcept C2779080342 @default.
- W2524546982 hasConcept C2781249084 @default.
- W2524546982 hasConcept C41008148 @default.
- W2524546982 hasConcept C81917197 @default.
- W2524546982 hasConcept C96250715 @default.
- W2524546982 hasConceptScore W2524546982C10138342 @default.
- W2524546982 hasConceptScore W2524546982C144133560 @default.
- W2524546982 hasConceptScore W2524546982C149782125 @default.
- W2524546982 hasConceptScore W2524546982C154945302 @default.
- W2524546982 hasConceptScore W2524546982C162324750 @default.
- W2524546982 hasConceptScore W2524546982C162853370 @default.
- W2524546982 hasConceptScore W2524546982C163839840 @default.