How do Different Types of User-Generated Content Attract Travelers? Taking Story and Review on Airbnb as the Example

Li, Sihan; Li, Yongli; Liu, Chao; Fan, Ningyuan

doi:10.1177/00472875231158588

Cited by 12 publications

(2 citation statements)

References 51 publications

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“…Suess et al (2021) also found that consumers with prior experiences had higher emotional solidarity, positive emotions, community well-being, and personal quality of life than those without prior experiences. More recently, Li et al (2023) showed that stories can attract newcoming travelers, and reviews can attract extant travelers. These studies highlight important differences between purchase intention and repurchase intention.…”

Section: Literature Review and Theoretical Foundationmentioning

confidence: 99%

Enhancing Consumers’ Repurchase Intention in Peer-to-Peer Accommodation Following a Dual Processing Model: A Principal–Agent Perspective

Wang

Huang

Kim

et al. 2023

Journal of Travel Research

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In peer-to-peer (P2P) accommodation, consumers face high levels of consumption uncertainty from both P2P sites and hosts. Our study applies principal–agent theory to develop a dual processing model in examining how to support consumers’ repurchase intention by reducing consumers’ uncertainty perceptions associated with booking and staying. We selected Airbnb as our context and collected survey data from American consumers. The results show that perceived uncertainty (hosts) has a direct effect on repurchase intention, whereas perceived uncertainty (site) has an indirect effect. Further, perceived utility and trust in the last host can help reduce fears of opportunism (hosts), whereas site quality can alleviate fears of opportunism (site). Our study contributes to the literature by developing a dual-processing model of repurchase intention to clarify how consumers’ repurchase intention can be enhanced. The results can provide important guidelines regarding how to support consumers’ repurchase intention. We also provide suggestions regarding how to deal with additional uncertainties post COVID-19.

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Section: Literature Review and Theoretical Foundationmentioning

confidence: 99%

Enhancing Consumers’ Repurchase Intention in Peer-to-Peer Accommodation Following a Dual Processing Model: A Principal–Agent Perspective

Wang

Huang

Kim

et al. 2023

Journal of Travel Research

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“…Additionally, Airbnb's Superhost program has been found to positively affect host prices. According to a study by Chen and Xie (2017) [80] and Li, Li, Liu and Fan (2023) [81], Airbnb Superhosts commanded higher prices than non-Superhosts. This can be attributed to the fact that Superhosts are recognized by Airbnb for their high level of hospitality and service, which in turn increases their credibility and trustworthiness among potential guests.…”

Section: Hypothesis Formulationmentioning

confidence: 99%

Professionalizing Sharing Platforms for Sustainable Growth in the Hospitality Sector: Insights Gained through Hierarchical Linear Modeling

Ndaguba

Zyl

2023

Sustainability

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The sharing economy relating to e-hospitality is threatened globally with sanctions and closure owing to incessant noise and partying complaints, as well as complaints relating to reckless driving, tax evasion, and its social and economic effect on residents and accommodation vendors of longer stay rentals. Because the government is seeking a balance in regulating the e-hospitality sector, we sought to explore how professionalism of the e-hospitality platforms could potentially contribute to the sustainable growth of the sector in local and regional communities. In our study we developed a conceptual narrative that distinguishes two dimensions of professionalism for the sharing economy, namely the ticket clipper and end-to-end model. Data for the research was obtained from Vacation Rental Data (Airdna). Airdna provides a databank for both Airbnb and VRBO/Stayz. For the study a dataset from Airdna for HomeAway, also popularly known as Stayz, was utilized as a representative sample from a tourism town in Western Australia. For analysis of the dataset, path/panel regression was utilized, with a hierarchical linear model subsequently adopted for cross-section and multi-sectional analysis. Findings in the study demonstrate that professionals tend to improve the overall rating, and where the overall rating mediates the relationship between management firm (property/apartment/accommodation venue) and price. It was further observed that no relationship exists between overall rating and the number of HomeAway supply types; nevertheless, professionals promote the image and reputation of the property. Contrary, bad, or negative e-hospitality reviews lead to avoidance by prospective visitors. Lastly, results from the study took the form of two theoretical contributions, namely the ticket clipper model and the end-to-end model. More complaints were received concerning ticket clippers and it was noted that this model has caused severe shutdown in several cities and regions. The end-to-end model appears to be more sustainable. Moreover, literature suggests that there are more complaints from residents concerning ticket clippers and it was noted that this model has caused severe shutdown in several cities, nonetheless the end-to-end model appears to be more sustainable.

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Is digital economy the driving force for improving the tourism economic resilience? Evidence from China

Lu,

Zhu,

Zhou

et al. 2024

Environ Dev Sustain

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How do Different Types of User-Generated Content Attract Travelers? Taking Story and Review on Airbnb as the Example

Cited by 12 publications

References 51 publications

Enhancing Consumers’ Repurchase Intention in Peer-to-Peer Accommodation Following a Dual Processing Model: A Principal–Agent Perspective

Enhancing Consumers’ Repurchase Intention in Peer-to-Peer Accommodation Following a Dual Processing Model: A Principal–Agent Perspective

Professionalizing Sharing Platforms for Sustainable Growth in the Hospitality Sector: Insights Gained through Hierarchical Linear Modeling

Is digital economy the driving force for improving the tourism economic resilience? Evidence from China

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