The Effects of Perceived Value, Website Trust and Hotel Trust on Online Hotel Booking Intention
Open accessAbstract
With the rapid development of information technology in hotel booking context, it is no doubt that many hotels consequently enhance the needs of integrating information technologies into their overall business operations. In this study, we developed a research model which consists of perceived value, trust toward a third party online booking site, and trust toward hotels, and tested it by using partial least square techniques. Survey data were collected from 307 individuals who have prior experiences on making a reservation using third-party online booking sites. Based upon our findings, we found that the perceived value, which was affected by both price and quality, was positively related to individuals’ intention to book. We also found that both trust toward third-party online booking sites and trust toward hotels, which was influenced by online review, have positive impacts on individuals’ intention to book. The implications of these findings for both research and practice are discussed.
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Perceived trust has a crucial role in predicting one's purchase intention by reducing perceived risk during the transaction.
“According to Kim et al. [40], perceived trust (PT) has a crucial role in predicting one's purchase intention by reducing perceived risk during the transaction.”
From Cashless Transactions: A Study on Intention and Adoption of e-Wallets (2021) · cites this paper as Kim et al. [40]
The Introduction says trust matters in online transactions because of perceived risk and uncertainty, and that consumers who trust a website are more likely to purchase from it. It does not establish that trust predicts purchase intention *by reducing* perceived risk; the risk-reduction mechanism is not supported by the cited passage. (LLM, conf=0.84)
Experimental — accuracy not yet measured
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- Authors
- Kim, S., Kim, J., & Park, S.
- Affiliations
- SK Group (South Korea) (KR)
- Sungkyunkwan University (KR)
- Daegu University (KR)
- Corresponding author
- Kim, Jong
- ORCID
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2017-12-07
- Volume
- 9
- Issue
- 12
- Pages
- 2262
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W2772669778
- Cited by
- 128
- References
- 59
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 17 · 2023: 25 · 2022: 33 · 2021: 16 · 2020: 10 · 2019: 7 · 2018: 1
- FWCI
- 7.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Keywords
- online hotel booking, perceived value, website trust, booking intention, online reviews, price and quality, consumer trust
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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