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

被引:1
|
作者
Sulyok, Judit [1 ]
Fehervoelgyi, Beata [1 ]
Csizmadia, Tibor [2 ]
Katona, Attila I. [3 ]
Kosztyan, Zsolt T. [3 ]
机构
[1] Univ Pannonia, Inst Business, Fac Business & Econ, Dept Tourism, Egyet Str 10, H-8200 Veszprem, Hungary
[2] Univ Pannonia, Inst Management, Fac Business & Econ, Dept Management, Egyet Str 10, H-8200 Veszprem, Hungary
[3] Univ Pannonia, Inst Management, Fac Business & Econ, Dept Quantitat Methods, Egyet Str 10, H-8200 Veszprem, Hungary
关键词
Tourism; COVID-19; Review; Research methods; Spatial network; Text mining; SYSTEMATIC REVIEWS; TOPICS;
D O I
10.1007/s11192-022-04615-z
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:1601 / 1637
页数:37
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