Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 199

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Experience Value Cocreation on Destination Online Platforms

Open access
Zhang, Hongmei, Gordon, Susan, Buhalis, Dimitrios, Ding, Xifen·2018·Journal of Travel Research

Abstract

Technology is critical for facilitating the experience value cocreation process in tourism. Online platforms in particular enable consumers to develop realistic expectations and to cocreate their experiences. Limited empirical research has been done to investigate the experience value cocreation process, especially in tourism. This study fills this gap by proposing a cognition–emotion–behavior model. A scenario experiment approach is used to investigate the experience value cocreation process on destination online platforms in the pretravel stage. Structural equation modeling analysis shows that online platform experience significantly affects the destination emotional experience. This, in turn, has significant effects on the five dimensions of destination engagement intention. The mediating effect of destination emotional experience on the relationship between online platform experience and destination engagement intention is supported. These findings contribute to a better understanding of the experience value cocreation process and theoretical and managerial implications are proposed.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/0047287517733557

Cites

17 of 17 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 17 references

Cited by

See all 199

Metadata

Authors
Zhang, H., Gordon, S., Buhalis, D., & Ding, X.
Venue
Journal of Travel Research
Published
2017-10-15
Volume
57
Issue
8
Pages
1093-1107
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W2765957859
Cited by
199
References
17
FWCI
27.95
Type
journal article
Language
en
Open access
green

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: Experience Value Cocreation on Destination Online Platforms. https://app.cochat.ai/papers/10.1177/0047287517733557
The paper
Zhang, H., Gordon, S., Buhalis, D., & Ding, X. (2018). Experience Value Cocreation on Destination Online Platforms. Journal of Travel Research. https://doi.org/10.1177/0047287517733557

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.