The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory
Abstract
This study examines the effects of trustworthiness, expertize, perceived usefulness (PU), and perceived ease of use (PEOU) on usage intention toward user-generated content (UGC) and online reviews among female and male younger and older travelers using SEM. The study tested the model with a sample of 200 UK residents who had taken at least one leisure trip in the preceding 12 months and searched for travel information in advance on travel-review websites. PU was the strongest determinant of UGC usage for males, but it failed to be significant among females. PEOU was the strongest determinant of females’ and older travelers’ usage, but it was non-significant for males and younger travelers. expertize had a significant influence on younger travelers, but not older ones. The results provide additional contributions on the effects of gender and age in online travel reviews to help advance both theory and practice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
(1998) · Cited by 12,725
Bootstrap Methods and their Application
Davison, A. C., & Hinkley, D. V. (1997) · doi:10.1017/cbo9780511802843 · Cited by 7,350
LISREL 7 : user's reference guide
Jöreskog, K. G., & Sörbom, D. (1989) · Medical Entomology and Zoology · Cited by 6,783
Bootstrap Methods and Their Application
Loughin, T. M., Davison, A. C., & Hinkley, D. V. (1999) · Journal of the American Statistical Association · doi:10.2307/2669707 · Cited by 5,418
Cited by
Camilleri, M. A. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123247 · Cited by 261
Kim, J. H., Kim, J., Kim, C., & Kim, S. (. (2023) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2023.2293006 · Cited by 144
Huang, H., Hwang, G.-J., & Jong, M. S.-Y. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104593 · Cited by 57
Intention to adopt services by AI avatar: A protection motivation theory perspective
Park, J., Yun, J., & Chang, W. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103929 · Cited by 51
Man, S. S., Li, X., Lin, X. J., Lee, Y.-C., & Chan, A. H. S. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2434957 · Cited by 10
Metadata
- Authors
- Assaker, G.
- Venue
- Journal of Hospitality Marketing & Management
- Publisher
- Informa UK Limited
- Published
- 2019-08-28
- Volume
- 29
- Issue
- 4
- Pages
- 428-449
- ISSN
- 1936-8623 (ISSN-L)
- 1936-8631
- OpenAlex
- W2971349321
- Cited by
- 258
- References
- 73
- FWCI
- 48.98
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. https://app.cochat.ai/papers/10.1080/19368623.2019.1653807
- The paper
- Assaker, G. (2020). Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. Journal of Hospitality Marketing & Management. https://doi.org/10.1080/19368623.2019.1653807
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
