Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/31105
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dc.contributor.authorCarneiro, Tiago-
dc.contributor.authorPicoto, Winnie-
dc.contributor.authorPinto, Inês-
dc.date.accessioned2024-05-28T09:24:04Z-
dc.date.available2024-05-28T09:24:04Z-
dc.date.issued2023-
dc.identifier.citationTiago Carneiro, Winnie Picoto and Inês Pinto .(2023). “Big data analytics and firm performance in the hotel sector”. Tourism and Hospitality, Vol. 4, No. 2: pp. 244-256. (Search PDF in 2024)pt_PT
dc.identifier.issn2673-5768-
dc.identifier.urihttp://hdl.handle.net/10400.5/31105-
dc.description.abstractBig data (BD) analytics play a key role in helping hotel firms gain competitive advantages and achieve superior performance. The purpose of this study was to determine which factors encourage the use of big data analytics (BDA) by hotel firms and the impact of BDA on hotel firms’ performance. Understanding the impacts of big data analytics in the hotel sector is important to help hotel managers use big data for creating business value by increasing hotel performance. A research model was developed and tested with data collected through a questionnaire sent to hotel managers in a European country and analysed with PLS. The results indicate that organisational readiness and competitive pressure encourage the use of BDA through the mediating role of top management support. The findings also indicate that the use of BDA can create business value by increasing the main dimensions of hotel performance: financial performance, customer retention rate, and hotel reputation.pt_PT
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.rightsopenAccesspt_PT
dc.subjectBig Datapt_PT
dc.subjectBig Data Analyticspt_PT
dc.subjectHotel Sectorpt_PT
dc.subjectDynamic Capabilitiespt_PT
dc.subjectHotel Performancept_PT
dc.titleBig data analytics and firm performance in the hotel sectorpt_PT
dc.typearticlept_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doidoi.org/10.3390/tourhosp4020015pt_PT
Aparece nas colecções:ADVANCE/CSG - Artigos em Revistas Internacionais / Articles in International Journals
DG - Artigos em Revistas Internacionais / Articles in International Journals

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