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Airbnb research: an analysis in tourism and hospitality journals

dc.contributor.authorAndreu, Luisa
dc.contributor.authorBigne, Enrique
dc.contributor.authorAmaro, Suzanne
dc.contributor.authorPalomo, Jesús
dc.date.accessioned2020-04-20T14:24:29Z
dc.date.available2020-04-20T14:24:29Z
dc.date.issued2020
dc.description.abstractPurpose – The purpose of this study is to examine Airbnb research using bibliometric methods. Using research performance analysis, this study highlights and provides an updated overview of Airbnb research by revealing patterns in journals, papers and most influential authors and countries. Furthermore, it graphically illustrates how research themes have evolved by mapping a co-word analysis and points out potential trends for future research. Design/methodology/approach – The methodological design for this study involves three phases: the document source selection, the definition of the variables to be analyzed and the bibliometric analysis. A statistical multivariate analysis of all the documents’ characteristics was performed with R software. Furthermore, natural language processing techniques were used to analyze all the abstracts and keywords specified in the 129 selected documents. Findings – Results show the genesis and evolution of publications on Airbnb research, scatter of journals and journals’ characteristics, author and productivity characteristics, geographical distribution of the research and content analysis using keywords. Research limitations/implications – Despite Airbnb having a history of 10 years, research publications only started in 2015. Therefore, the bibliometric study includes papers from 2015 to 2019. One of the main limitations is that papers were selected in October of 2019, before the year was over. However, the latest academic publications (in press and earlycite) were included in the analysis. Originality/value – This study analyzed bibliometric set of laws (Price’s, Lotka’s and Bradford’s) to better understand the patterns of the most relevant scientific production regarding Airbnb in tourism and hospitality journals. Using natural language processing techniques, this study analyzes all the abstracts and keywords specified in the selected documents. Results show the evolution of research topics in four periods: 2015-2016, 2017, 2018 and 2019pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1108/IJCTHR-06-2019-0113pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/6264
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectAirbnbpt_PT
dc.subjectCo-word analysispt_PT
dc.subjectBibliometric Studypt_PT
dc.subjectSharing Economypt_PT
dc.titleAirbnb research: an analysis in tourism and hospitality journalspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage20pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage2pt_PT
oaire.citation.titleInternational Journal of Culture, Tourism and Hospitality Researchpt_PT
oaire.citation.volume14pt_PT
person.familyNameAmaro
person.givenNameSuzanne
person.identifier.ciencia-idE918-24FC-5C4A
person.identifier.orcid0000-0001-9263-6951
person.identifier.scopus-author-id55934788900
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3af4cea2-a02e-46b4-8e2e-d274f9d2b3ec
relation.isAuthorOfPublication.latestForDiscovery3af4cea2-a02e-46b4-8e2e-d274f9d2b3ec

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