Antecedents of Guest Booking Intention in the Home-Sharing Industry: Lessons Learned from Airbnb

Tiamiyu, Tosin; Quoquab, Farzana; Mohammad, Jihad

doi:10.1080/15256480.2022.2092251

Cited by 7 publications

(4 citation statements)

References 112 publications

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“…Besides, the study’s primary concern is the theory, not population generalisability (Cavana et al , 2001). This study uses an online survey due to its advantage of confidentiality (Tiamiyu et al , 2022b) also it is considered appropriate and critical because of the study’s context, i.e. online platform.…”

Section: Methodsmentioning

confidence: 99%

Older the better: senior tourists’ curiosity towards the home-sharing platform

Tiamiyu

2024

CBTH

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Purpose Senior tourist is a salient segment of the tourism sector. This segment reflects a robust ageing population with discretionary income and an appetite for tourism activities. However, to date, there has been a paucity of empirical insight on how the combination of intrinsic and extrinsic motivations may influence senior tourists’ connectedness and booking intentions towards home-sharing accommodation. Thus, this study aims to investigate how senior tourists’ curiosity and social interaction may influence their connectedness towards Airbnb and subsequently booking intention. Design/methodology/approach A conceptual model was developed and tested using partial least squares structural equation modelling to analyse data collected from a sample of 195 senior tourists in Malaysia. Findings The results showed that intrinsic (curiosity) and extrinsic (social interaction) motivations positively influence senior tourists’ connectedness towards platform accommodation, which in turn positively affects the outcome variable. Furthermore, this study found that a sense of connectedness is crucial in linking motivators and booking intentions. Research limitations/implications This research was carried out in Malaysia; therefore, cross-national studies are encouraged to establish whether the findings described in this study can be extrapolated to other cultures/countries. Practical implications From a practitioner’s perspective, this study reinforces the need to address and understand senior tourists’ curiosity and how it may invoke their connectedness and behavioural actions towards the Airbnb platform. More importantly, this study gives home-sharing practitioners practical leverage on how combined intrinsic and extrinsic motivations may deduce senior tourists’ booking intentions. Originality/value The study contributes to the literature on senior tourism and the home-sharing sector by demonstrating the role of curiosity and social interaction in shaping senior tourists’ connectedness towards Airbnb and behavioural intentions.

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Section: Methodsmentioning

confidence: 99%

Older the better: senior tourists’ curiosity towards the home-sharing platform

Tiamiyu

2024

CBTH

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“…They discovered that economic benefits, enjoyment and household benefits influenced views about Airbnb, which drove behavioral intentions. A recent study by Tiamiyu et al (2022) found that both trust and reputation had a major impact on customers' purchase intention toward Airbnb.…”

Section: Methodsmentioning

confidence: 99%

Airbnb phenomenon: a review of literature and future research directions

Negi

Tripathi

2022

JHTI

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PurposeThe paper intends to review academic research on peer to peer (P2P) accommodation sharing, notably Airbnb, for 2010–2022 and to identify the knowledge gaps for future research directions.Design/methodology/approachNumerous databases were searched using keywords. Based on the central theme of the research papers, the papers were divided into eight segments—consumer behavior, host behavior, host–guest relationship (HGR), trust in Airbnb, dominant theories in Airbnb, Airbnb regulation, Airbnb and hotels and macro impacts of Airbnb. In-depth content analysis resulted in the final 101 papers for inclusion.FindingsThe review advances comprehension of the Airbnb phenomenon by enriching the literature with new and most recent studies. Most existing Airbnb research has been conducted in Europe, USA/Canada, followed by Asian countries like China, Singapore, S. Korea and India. Future studies should include South America, Africa and other developing nations. More cross-cultural studies are required to understand consumer and host behavior in different cultural settings. Numerous proposals to fulfill the research gaps identified by the paper are discussed.Practical implicationsThe study will give better insights into the spiraling P2P accommodation economy. The study will be useful to researchers, scholars, Airbnb, the hotel industry, vacation rental players and destination marketing organizations by relating the study findings to practical competition analysis. The study provides deeper insights into the decision-making process of both guests and hosts by examining the relevant motivators and constraints. It will also assist the Airbnb platform in identifying its strength over the traditional hotel industry and other vacation rentals. The findings will also assist policymakers in better controlling the Airbnb phenomena by providing a comprehensive view of the micro and macro environment.Originality/valueThe paper includes the most recent studies from Asian countries like India, Singapore, China, Korea and Taiwan, not covered by earlier reviews. Prior studies mainly focused on European and American countries. Also, the paper tried to cover the macro impacts of Airbnb in-depth and the effects of COVID-19.

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“…However, Guttentag and colleagues additionally discovered the impact of other factors, such as social interaction, home benefits, authenticity, and novelty, influencing user intention to use Airbnb. Tiamiyu et al (2022) also identified factors such as trust and reputation driving consumer intention to use Airbnb. In summary, these studies elucidate the various motivating factors influencing consumer intention to use Airbnb, drawing from samples across different demographics.…”

Section: Literature Reviewmentioning

confidence: 97%

Section: Literature Reviewmentioning

confidence: 99%

Factors influencing consumers’ Airbnb use intention: a meta-analytic analysis using the UTAUT2

Bommer,

Roy,

Milevoj

et al. 2024

IMDS

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PurposeThis study integrates previous research on the intention to use Airbnb to determine which antecedents provide a parsimonious explanation.Design/methodology/approachMeta-analyses based on 61 samples estimate how 8 antecedents are associated with the intention to use Airbnb. Subsequent analyses utilize meta-analyses to estimate a regression model to simultaneously estimate the relationship between the antecedents and the intention to use Airbnb. Relative weight analysis then determined each antecedent’s utility.FindingsA parsimonious model with only four antecedents (hedonic motivation, price value, effort expectancy and social influence) was nearly as predictive as the full eight-antecedent model. Ten moderating variables were examined, but none were deemed to consistently influence the relationships between the antecedents and the intention to use Airbnb.Practical implicationsRelatively few measures (i.e. four) effectively explain customers’ intentions to use Airbnb. When these measures cannot be readily influenced, alternatives are also presented. Implications for the travel industry are considered and straightforward approaches to increasing users are presented.Originality/valueThis is the first integrative review of customers’ intentions to use Airbnb. We integrate what is currently known about customers’ intentions to use Airbnb and then provide a robust model for Airbnb use intentions that both researchers and practitioners can utilize.

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Antecedents of Guest Booking Intention in the Home-Sharing Industry: Lessons Learned from Airbnb

Cited by 7 publications

References 112 publications

Older the better: senior tourists’ curiosity towards the home-sharing platform

Older the better: senior tourists’ curiosity towards the home-sharing platform

Airbnb phenomenon: a review of literature and future research directions

Factors influencing consumers’ Airbnb use intention: a meta-analytic analysis using the UTAUT2

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