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Segmenting and predicting prosocial behaviours among tourists: a latent class approach

Author

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  • Elizabeth Agyeiwaah
  • Prosper Bangwayo-Skeete

Abstract

In building sustainable post-pandemic destinations, it is critical to understand the typologies of tourists’ prosocial behaviours. Consequently, this study innovatively applied a latent class cluster analysis to segment the prosocial behaviours of 403 Macau tourists. Three ordered discrete segments were derived based on consistent tourists’ probabilities of performing prosocial behaviours on the trip namely: the Self-centred, the Intermediate, and the Philanthropist. The associated ordered logistic regression predicting the segments revealed that relative to the Self-centred, the Intermediate and the Philanthropist are more likely to face death terror, are sociable – seek vacation friends – and believe in cultural and heritage conservation. Not only does this research expand the theoretical application of Terror Management Theory, the Scrooge effect, and the self-esteem concept, it contributes to prosocial alternative tourism with novel destination management implications for marketing and promoting prosocial tourism performance.

Suggested Citation

  • Elizabeth Agyeiwaah & Prosper Bangwayo-Skeete, 2024. "Segmenting and predicting prosocial behaviours among tourists: a latent class approach," Current Issues in Tourism, Taylor & Francis Journals, vol. 27(15), pages 2462-2481, August.
  • Handle: RePEc:taf:rcitxx:v:27:y:2024:i:15:p:2462-2481
    DOI: 10.1080/13683500.2023.2229935
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