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Perceived differences in peer-to-peer accommodation before and after COVID-19: evidence from China. (Special Issue: The sharing economy in a post-pandemic world.)
International Journal of Contemporary Hospitality Management ; 35(4):1539-1561, 2023.
Article in English | CAB Abstracts | ID: covidwho-2320900
ABSTRACT

Purpose:

Based on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide suggestions for the development of these properties in China postpandemic. Design/methodology/

approach:

A guest perception dictionary was established by collecting Ctrip customer reviews of peer-to-peer accommodations. After data cleaning, thematic word analysis and semantic association network analysis were used to explore perceptions and thematic differences before and after COVID-19.

Findings:

This research constructed a multidimensional framework of guest-perceived values for peer-to-peer accommodation in the context of COVID-19. The findings showed that the emphasis on functionality in peer-to-peer accommodation changed;perceived emotional values associated with peer-to-peer stays were more complex;perceived social values decreased, host-guest interactions were reduced and online communication became a stronger trend;tourist preferences for types of experiences changed, and people changed their destination selections;perceived conditional value was reflected in perceived risks, and the perceptions of environmental health, service and physical risks increased. Research limitations/implications This research has constructed a multidimensional framework of tourist perceived value on the basis of peer-to-peer accommodation context and epidemic background and has thus shown the changes in tourist perceived value of peer-to-peer accommodation before and after COVID-19. Originality/value To the best of authors' knowledge, this research constitutes the first attempt to explore the perceptual differences for peer-to-peer accommodations before and after COVID-19 based on an extensive data set of online reviews from multiple provinces of China.
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Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Type of study: Experimental Studies Language: English Journal: International Journal of Contemporary Hospitality Management Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Type of study: Experimental Studies Language: English Journal: International Journal of Contemporary Hospitality Management Year: 2023 Document Type: Article