Benefits of authenticity: Post-failure loyalty in the sharing economy
Saleh Shuqair,
Diego Costa Pinto and
Anna S. Mattila
Annals of Tourism Research, 2019, vol. 78, issue C, -
Abstract:
Across five studies, this research reveals that the nature of the accommodation provider influences customers' post-failure loyalty. We propose a conceptual model that integrates perceived authenticity, social interaction, and positive emotions as primary determinants of post-failure loyalty in the sharing economy context. This article extends previous research by contrasting the impact of perceived authenticity on post-failure loyalty towards Airbnb (host, platform) and hotels. Our findings suggest that customers' post-failure emotional and behavioral responses depend on the accommodation provider type. The finding that authenticity and social interaction drive post-failure loyalty has important implications for managers of Airbnb properties and hotels. Finally, our findings provide new insights into customer perceptions of various service recovery strategies (e.g., apology, compensation) based on the accommodation provider type.
Keywords: Perceived authenticity; Social interaction; Cognitive appraisal theory; Positive emotions; Post-failure loyalty; And accommodation provider type (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160738319300921
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:anture:v:78:y:2019:i:c:12
DOI: 10.1016/j.annals.2019.06.008
Access Statistics for this article
Annals of Tourism Research is currently edited by John Tribe
More articles in Annals of Tourism Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().