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Progress or Regress in Phenomenological Research in Tourism? An Epistemological Assessment of Bibliometric Analysis and Visualization Tools

Bibliographic Data

ID7159607
AuthorsTomas Pernecky (0000-0001-6418-8020, Auckland University of Technology, Auckland, New Zealand, corresponding author), Abrar Faisal (0000-0001-9276-3483, Auckland University of Technology, Auckland, New Zealand)
Year2025
Volume49
Issue5
Pages866-876
Publication date2025-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Hospitality & Tourism Research (JOURNAL)
Journal identifiersISSN: 1096-3480 • E-ISSN: 1557-7554
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/10963480241305746
OpenAlexW4404698493
LanguageEN
References cited57

Phenomenology has become a popular approach in studying tourism experiences, rising to the forefront of methodological practice in the field. While phenomenological research numbered only in the dozens before the millennium, its application has since expanded to hundreds of studies. This rapid growth not only calls for a meta-analytical examination but also provides an opportunity to assess the suitability of various methodological tools and software for data construction, analysis, and visualization. This study is the first to critically examine the veracity of potential knowledge claims arising from the use of bibliographic data and VOSviewer by conducting a meta-analysis of phenomenological research in tourism. The results reveal that, despite VOSviewer’s visually appealing imagery, notable epistemological pitfalls exist. The critical insights offered are valuable for navigating the evolving technological and methodological landscape in the field, particularly in understanding tourism experiences

Data science · Engineering ethics · Epistemology · Interpretative phenomenological analysis · Management science · Political science · Qualitative research · Social science · Sociology · Tourism · Visualization · Computer Science · Conferences and Exhibitions Management · Diverse Aspects of Tourism Research · Engineering · Psychology · Sport and Mega-Event Impacts · Artificial Intelligence

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