Experience Economy Perspective on Recreational Fishing Tourism Travelers’ Reviews: A Data Science Approach

Georgia Yfantidou (), Sofia Yfantidou, Dimitra Karanatsiou, Angelos Liontakis, Mairi Maniopoulou, Panagiota Balaska, Alkistis Papaioannou and Vassiliki Vassilopoulou
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Georgia Yfantidou: Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
Sofia Yfantidou: School of Informatics, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
Dimitra Karanatsiou: School of Informatics, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
Angelos Liontakis: Department of Agribusiness and Supply Chain Management, Agricultural University of Athens, 32200 Thiva, Greece
Mairi Maniopoulou: Hellenic Center for Marine Research, Institute of Marine Biological Resources and Inland Waters, 19013 Anavyssos, Greece
Panagiota Balaska: Department of Physical Education and Sport Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
Alkistis Papaioannou: School of Social Sciences, Hellenic Open University, 26335 Patras, Greece
Vassiliki Vassilopoulou: Hellenic Center for Marine Research, Institute of Marine Biological Resources and Inland Waters, 19013 Anavyssos, Greece

Tourism and Hospitality, 2024, vol. 5, issue 2, 1-27

Abstract: Fishing tourism, a niche yet burgeoning sector within the broader tourism industry, presents a unique opportunity to explore the dynamics of the Experience Economy. This study delves into the intricacies of fishing tourism through the lens of data science, leveraging web crawling techniques to gather extensive data from reviewer profiles on TripAdvisor. By employing natural language processing (NLP) techniques, the study investigates the correlation between Experience Economy dimensions and user profiling aspects within this domain. The findings of this study shed light on the predominant dimensions of the Experience Economy within fishing tourism. “Entertainment” emerges as the primary dimension, closely followed by “Aesthetic”, “Educational”, and “Escapist” elements. Notably, the study reveals frequent co-occurrences of certain dimension pairs, such as “Entertainment”–“Aesthetic” and “Educational”–“Entertainment”, underscoring the multifaceted nature of the fishing tourism experience. The implications of this research extend beyond academic discourse to practical considerations for stakeholders in the fishing tourism sector. By highlighting the socioeconomic benefits inherent in fishing tourism for local communities and fishers, the study emphasizes the importance of governmental support. This support, in the form of infrastructure development, effective leadership, legislative measures, and financial backing, is deemed essential for fostering sustainable growth and development in this sector. This study stands as a pioneering endeavor within the realm of fishing tourism research, particularly in its focus on Experience Economy dimensions and user profiling. By drawing data from both business pages and user profiles on TripAdvisor, it provides a comprehensive understanding of the intricate interplay between tourist experiences and the broader economic and social landscape of fishing tourism destinations.

Keywords: fishing tourism; sustainable tourism; recreation; experience economy; TripAdvisor; user profiling; natural language processing (search for similar items in EconPapers)
JEL-codes: Z3 Z30 Z31 Z32 Z33 Z38 (search for similar items in EconPapers)
Date: 2024
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