2020
DOI: 10.1016/j.jhtm.2019.11.012
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Sleeping in a stranger's home: A trust formation model for Airbnb

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Cited by 107 publications
(106 citation statements)
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“…Perceived website quality, such as the quality of the information provided by the website and its interface, enhances the formation of consumers' trust in that website [5]. If the Airbnb site provides high-quality information or is structured so that guests can find the information they want quickly and easily, guests will be able to build higher trust in the Airbnb site [2]. Therefore, the following hypothesis is formulated: Reputation refers to public opinion, which is the collective assessment of an entity or person [7].…”
Section: Research Model and Hypothesesmentioning
confidence: 99%
See 1 more Smart Citation
“…Perceived website quality, such as the quality of the information provided by the website and its interface, enhances the formation of consumers' trust in that website [5]. If the Airbnb site provides high-quality information or is structured so that guests can find the information they want quickly and easily, guests will be able to build higher trust in the Airbnb site [2]. Therefore, the following hypothesis is formulated: Reputation refers to public opinion, which is the collective assessment of an entity or person [7].…”
Section: Research Model and Hypothesesmentioning
confidence: 99%
“…When consumers use Airbnb services, they are faced with two types of trust: trust in the Airbnb platform and trust in the host [1]. Existing research has focused mainly on finding factors that affect trust in the Airbnb platform or factors that affect trust in hosts [2]. However, the mechanisms by which guests build trust in the Airbnb platform and hosts have yet to be extensively studied.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, three were nine theories/models such as: 1) Attachment Theory (Yang et al, 2019), 2) Innovation Diffusion Theory (IDT) (Wang & Jeong, 2018), 3) Information processing Theory (Bae et al, 2017), 4) Meanend chain theory (Aruan & Felicia, 2019), 5) Mehrabian-Russell model (So et al, 2020), 6) Push-pull-mooring (PPM) model (Yan et al, 2019), 7) Reactance Theory (Teubner & Graul, 2020), 8) Stimulus-organism-response theory (Mody et al, 2017), and 9) Technology acceptance model (TAM) (Wang & Jeong, 2018) that researchers employed on one instance each to examine travellers use of Airbnb platform. Finally, the extant literature review found majority of the existing studies focused on developed western countries such as the USA (Lee & Kim, 2018;Li et al, 2019;Mao et al, 2020), Canada (Guttentag et al, 2018;Liang et al, 2018), and Germany (Amaro et al, 2019;Möhlmann, 2015) with just one study focusing on India (Chatterjee et al, 2019).…”
Section: Theories Used and Countries Examinedmentioning
confidence: 99%
“…Furthermore, as the sharing economy is rooted in a digital platform, several studies have investigated website or application features as drivers of customers behaviour. The overall website quality and the attributes of privacy and security of information, website function, design, usability and responsiveness are also found to be critical in building trust and encourage usage among consumers (Agag & Eid, 2019;Mao et al, 2020;Wang & Jeong, 2018;Xiaowei Xu & Schrier, 2019).…”
Section: Factors Influencing Sharing Economy Participationmentioning
confidence: 99%
“…Huang et al (2020) and Wang et al (2019) indicate that personal, privacy or security threats experienced by users highly affect their trust and decisions to use peer-to-peer accommodation services. Likewise, Mao et al (2020) and Shao & Yin (2019) point out that this risk perception is crucial in shaping consumers' trust and is driving affirmative behavioural outcomes. van der Cruijsen et al (2019) emphasize the effect of trust in other people towards the use of peer platform markets while, trust-in-platform also poses a strong impact on behavioural intentions (Lee et al, 2018;Mittendorf, 2018;Shao & Yin, 2019).…”
Section: Factors Influencing Sharing Economy Participationmentioning
confidence: 99%