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Epistemological challenges at data-theory intersection

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  • Egger, Roman
  • Yu, Joanne

Abstract

This paper examines the epistemological challenges arising from the integration of data-intensive methods in tourism research. By focusing on the tensions between traditional theory-driven approaches, and the incorporation of data-driven and model-driven methods, this conceptual study explores how the growing popularity of data influences theory development and the generalisability of findings. Furthermore, this paper outlines a conceptual framework that integrates data-driven and model-driven approaches with tourism research. Rather than presenting a fully elaborated model, it offers guiding dimensions to help researchers navigate data-intensive studies while maintaining scientific rigor and ethical integrity. Emphasising the importance of interdisciplinary collaboration and the use of flexible theoretical constructs, this study advocates for a balanced approach that merges domain knowledge with data exploration to ensure robust applications in this rapidly evolving landscape.

Suggested Citation

  • Egger, Roman & Yu, Joanne, 2025. "Epistemological challenges at data-theory intersection," Annals of Tourism Research, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:anture:v:115:y:2025:i:c:s0160738325001501
    DOI: 10.1016/j.annals.2025.104044
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    References listed on IDEAS

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