Cited by 318Digital Marketing and Social MediaTechnology Adoption and User BehaviourExpert finding and Q&A systems

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Understanding the intention to follow the advice obtained in an online travel community

Casaló, Luis V., Flavián, Carlos, Guinalíu, Miguel·2011·Computers in Human Behavior

Overview

Integrity signals

Registry

Crossref · 10.1016/j.chb.2010.04.013

Cites

87 of 87 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

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Citations

Cites

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Show all 86 references

Research works printed but not linked: 1

  1. Dellarocas, C., & Narayan, R. (2007). Tall heads vs. long tails: Do consumer reviews increase the informational inequality between hit and niche products? Working Paper No. RHS-06-056, R.H. Smith School of Business University of Maryland (EE.UU.). · DOI

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Items 201–300 of 317

Metadata

Authors
Casaló, L. V., Flavián, C., & Guinalíu, M.
Affiliations
Universidad de Zaragoza (ES)
Corresponding author
Flavián, Carlos
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2011-03
Volume
27
Issue
2
Pages
622-633
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2025611698
Cited by
318
References
86
Citations by year
2026: 6 · 2025: 11 · 2024: 19 · 2023: 28 · 2022: 22 · 2021: 34 · 2020: 26 · 2019: 30 · 2018: 27 · 2017: 19 · 2016: 33 · 2015: 25 · 2014: 12 · 2013: 14 · 2012: 6
FWCI
27.03
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
Keywords
online travel communities, peer recommendations, perceived usefulness, word of mouth

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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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