Does geography matter? Implications for future tourism research in light of Covid-19

Bibliographic Data

ID21442075
AuthorsJudit Sulyok, Márta Judit Sulyok (0000-0003-1807-1897, University of Pannonia), Beáta Fehérvölgyi (0000-0001-6707-9081, University of Pannonia), Tibor Csizmadia (0000-0001-6734-8894, University of Pannonia), Attila Imre Katona (0000-0001-7946-6265, University of Pannonia), Zsolt Tibor Kosztyán (0000-0001-7345-8336, University of Pannonia, corresponding author)
Year2023
Volume128
Issue3
Pages1601-1637
Publication date2023-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScientometrics (JOURNAL)
Journal identifiersISSN: 0138-9130 • E-ISSN: 1588-2861
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-022-04615-z
PMID36647425
OpenAlexW4315644980
LanguageEN
Citations received1
References cited70

Due to the 2019 new coronavirus disease (COVID-19) pandemic, tourism is undergoing fundamental changes that are affecting tourism research. This situation calls for in-depth analyses of tourism research. Scholars have already published review studies on COVID-19-related research within the tourism field; however, these studies do not connect findings, such as the research focus, research methodology and target group, to form a research profile, and the geographical patterns of the findings are not identified. study, COVID-19-related tourism studies were collected and analyzed in depth following the Preferred Reporting Items for systematic reviews and meta-analyses (PRISMA) method. In addition, data-driven methods, such as spatial multilayer networks, frequent patterns and content-based analyses, were applied to identify research profiles and their geographic patterns. This study pointed out the role of geographic patterns in tourism research, going beyond the research of the authors. Moreover, topics, focus destinations, applied methodologies and employed data sources have relevant geographic patterns. Four dominant research profiles that show that a shift can be observed in tourism research toward data sources and research methods were identified. Due to COVID-19, the strengthening of the application of quantitative methods and employment of secondary data sources are needed

Coronavirus disease 2019 (COVID-19) · Data science · Destinations · Disease · Field (mathematics) · Geography · Pandemic · Regional science · Tourism · Computer Science · Conferences and Exhibitions Management · Diverse Aspects of Tourism Research · Hospitality and Tourism Education · Medicine

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