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dc.contributor.authorMajeed, Salman
dc.contributor.authorZhou, Zhimin
dc.contributor.authorLu, Changbao
dc.contributor.authorRamkissoon, Haywantee
dc.date.accessioned2020-04-27T10:57:17Z
dc.date.available2020-04-27T10:57:17Z
dc.date.issued2020-04-21
dc.identifier.citationMajeed, S., Zhou, Z., Lu, C., & Ramkissoon, H. (2020). 'Online tourism information and tourist behavior: a structural equation modeling analysis based on a self-administered survey'. Frontiers in Psychology, 11(599), pp. 1-15.en_US
dc.identifier.doi10.3389/fpsyg.2020.00599
dc.identifier.urihttp://hdl.handle.net/10545/624735
dc.description.abstractThis study presents the interacting phenomena of perceptions of tourist destination online content (TDOC) and tourists’ behavioral intentions with a mediating role of tourists’ satisfaction, which is as yet under-explored in hospitality and tourism research. A model based on three main constructs, namely TDOC (with sub-constructs of online information quality and user-friendly accessibility), satisfaction, and tourists’ behavioral intentions [with sub-constructs of intentions to visit a tourist destination and electronic word-of-mouth (eWOM)], is presented to determine the growth of tourism business with the internet. Data were collected via a questionnaire-based survey from 413 tourists staying at hotels in Lahore city in Pakistan. Partial least square structural equation modeling was used to statistically analyze the gathered data. The findings indicate that tourists’ perceptions of TDOC directly influence their behavioral intentions, while tourists’ satisfaction exerts a mediating influence between tourists’ perceptions of TDOC and their behavioral intentions. Taking advantage of an economical and widespread online environment, destination marketing organizations could attract more tourists by fostering confidence in TDOC and positive eWOM to remain competitive in the long run. Important theoretical and practical implications are discussed.en_US
dc.description.sponsorshipNational Natural Science Foundation of China (grant # 71772126) and Guangdong Provincial Major Scientific Research Projects (grant # 2016WZDXM006)en_US
dc.language.isoenen_US
dc.publisherFrontiers in Psychologyen_US
dc.relation.urlhttps://www.frontiersin.org/articles/10.3389/fpsyg.2020.00599/fullen_US
dc.subjectOnline tourist informationen_US
dc.subjecttourist behaviouren_US
dc.subjecttourist satisfactionen_US
dc.titleOnline tourism information and tourist behavior: a structural equation modeling analysis based on a self-administered surveyen_US
dc.typeArticleen_US
dc.identifier.eissn1664-1078
dc.contributor.departmentShenzhen University, Shenzhen, Chinaen_US
dc.contributor.departmentFuzhou University, Fuzhou, Chinaen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentMonash University, Melbourne, VIC, Australiaen_US
dc.contributor.departmentThe Arctic University of Norway, Tromsø, Norwayen_US
dc.contributor.departmentUniversity of Johannesburg, Johannesburg, South Africaen_US
dc.identifier.journalFrontiers Mediaen_US
dcterms.dateAccepted2020-03-12
dc.author.detail786764en_US


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