Abstract
AbstractWe investigated potential peer‐to‐peer accommodation (P2PA) rental customers with an online survey with 254 Hong Kong residents. The results indicated a different user spectrum covering relatively young, unmarried people in civilian posts, with high levels of education and low levels of income. Prospects preferred to use considered unsafe P2PA in safe destinations. We examined the factors affecting the respondents' willingness to use P2PA rentals with multifactor binary logistic regression analysis. We developed a model on how P2PA, destination, and personal attributes affect decision making to provide a useful point of reference for future researchers and industry practitioners.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.