2020
DOI: 10.1108/ijcthr-11-2019-0200
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Antecedents and consequences of tourists’ attachment in driving guests’ booking intention: a case of Airbnb, Malaysia

Abstract: Purpose Airbnb has emerged as one of the most prominent examples of sharing economy platforms in the tourism industry. The growing popularity of Airbnb among tourists has boost revenue in the accommodation rental industry. Considering its significant impact on tourism industry growth, this paper aims to shed some light on guests’ booking intentions on Airbnb, Malaysia. Design/methodology/approach A web-based survey was designed to collect the data, which yielded 174 usable and valid responses. Structural equ… Show more

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Cited by 21 publications
(19 citation statements)
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“…Thus, the first order was tested, followed by the second-order validity and reliability. The measurement model was evaluated in terms of indicator and internal consistency reliabilities and convergent and discriminant validities (Henseler et al, 2016;Mohammad et al, 2019;Tiamiyu et al, 2020b) (Figure 2). Table 2 displays the measurement results: factor loading for all items was greater than 0.60 and composite reliability and Dijkstra-Henseler's rho (pA) were higher than 0.70, which confirmed the indicator reliability and established the internal consistency reliability (Chin, 1998;Hair et al, 2017).…”
Section: The Results Of the Measurement Model (First Order)mentioning
confidence: 99%
“…Thus, the first order was tested, followed by the second-order validity and reliability. The measurement model was evaluated in terms of indicator and internal consistency reliabilities and convergent and discriminant validities (Henseler et al, 2016;Mohammad et al, 2019;Tiamiyu et al, 2020b) (Figure 2). Table 2 displays the measurement results: factor loading for all items was greater than 0.60 and composite reliability and Dijkstra-Henseler's rho (pA) were higher than 0.70, which confirmed the indicator reliability and established the internal consistency reliability (Chin, 1998;Hair et al, 2017).…”
Section: The Results Of the Measurement Model (First Order)mentioning
confidence: 99%
“…Purchase intention is also influenced by perceived risk, perceived authenticity, and electronic word-of-mouth (e-WOM) ( Liang et al., 2018 ). The level of guest involvement ( Lee and Kim, 2018 ), Airbnb's reputation, guests' unique experience, and guests' attachment also influence intention to stay in an Airbnb ( Tiamiyu et al., 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…(2020) Perceived Behavioral Control Trust Attitude Chatterjee et al. (2019) Perceived authenticity Social norms Effort expectancy Price sensitivity Airbnb's reputation Guests' attachment Tiamiyu et al. (2020) Guests' unique experience Perceived Value Tran and Filimonau (2020) Functional aspects Guest demographics Lu and Tabari (2019) ; Mody et al.…”
Section: Discussionmentioning
confidence: 99%
“…Young travellers prefer to use SNSs to obtain travel information (Jamaludin et al , 2018). In Malaysia, young adults are active travellers mostly seeking travel information through eWOM from popular travel SNSs, TripAdvisor (Muhammad and Karim, 2018) and Airbnb (Tiamiyu et al , 2020). Tourism industry contributed significantly to the Malaysian economy with 15.9% of the 2019 gross domestic product (GDP) (Department of Statistics Malaysia, 2020b).…”
Section: Introductionmentioning
confidence: 99%
“…Agag and El-Masry (2017) asserted that exist research gap on the role of emotional impact in eWOM, and there is a need to investigate the emotional impact of eWOM communication through social networks on travel decisions. Furthermore, this study will explore the popular travel SNSs such as TripAdvisor, Airbnb, Trippy, Everplaces and TravellersPoint because Malaysian young travellers are mostly using these sites for their purchase decision-making (Muhammad and Karim, 2018; Tiamiyu et al , 2020). Hence, the outlined research gap need to be addressed proposing further research on the information quantity and emotive word comprehension in eWOM perspective.…”
Section: Introductionmentioning
confidence: 99%