2018
DOI: 10.1016/j.jbusres.2018.03.019
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Consumer segmentation within the sharing economy: The case of Airbnb

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Cited by 250 publications
(174 citation statements)
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References 39 publications
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“…Indeed, the unaffordable price tags for middle‐ and working‐class consumers (Watson & Yan, 2013) become now much more affordable for larger segments of the population. Similar outcomes have been found in other sharing economy research fields such as accommodation (Cheng, 2016; Lutz & Newlands, 2018).…”
Section: Conclusion Limitations and Suggestions For Future Researchsupporting
confidence: 84%
“…Indeed, the unaffordable price tags for middle‐ and working‐class consumers (Watson & Yan, 2013) become now much more affordable for larger segments of the population. Similar outcomes have been found in other sharing economy research fields such as accommodation (Cheng, 2016; Lutz & Newlands, 2018).…”
Section: Conclusion Limitations and Suggestions For Future Researchsupporting
confidence: 84%
“…The most prominent difference is whether customers rent the whole listing or share spaces with the host (rent a room). These two groups of Airbnb customers have been also found to be substantially different (Lutz & Newlands, ). Third, different average levels in the ratings across platforms might simply point at different quality levels, and not at reporting biases.…”
Section: Discussionmentioning
confidence: 99%
“…The most prominent difference is whether customers rent the whole listing or share spaces with the host (rent a room). These two groups of Airbnb customers have been also found to be substantially different (Lutz & Newlands, 2018).…”
Section: Preliminary Exploratory Findingsmentioning
confidence: 96%
“…They often seek flexible and comfortable facilities. Many families, for example, prefer to share common spaces of a house, rather than several hotel rooms, for togetherness, safety, privacy and comfort (Lutz & Newlands, 2018). The social distance in a sharing economy model between consumers (guests) and providers is closer in comparison to traditional hotels: “staying in someone's home helps reduces this distance” (Osman et al, 2019, p. 1165).…”
Section: Research Findingsmentioning
confidence: 99%