Trust transfer in peer-to-peer accommodation
Annals of Tourism Research, ISSN: 0160-7383, Vol: 101, Page: 103603
2023
- 3Citations
- 14Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Existing studies on peer-to-peer accommodation mainly focused on the effect of property- and host-level features on travelers' booking decisions. However, the spillover effect of one property on another property by the same host and the boundary conditions behind such an effect remain unexplored. Based on intra- and inter-channel trust transfer theory and by collecting data from Mayi.com and constructing a panel dataset, this study extends trust transfer theory in the context of peer-to-peer trading and identifies the boundary conditions under which trust transfer occurs: booking one property can spill over to the booking of another property by the same host, and similarity between properties and host quality can significantly strengthen this spillover effect.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0160738323000762; http://dx.doi.org/10.1016/j.annals.2023.103603; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85162244597&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0160738323000762; https://dx.doi.org/10.1016/j.annals.2023.103603
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know