CoChat
Sign Up
Cited by 422Digital Marketing and Social MediaDiverse Aspects of Tourism ResearchWeb and Library Services

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

User generated content: the use of blogs for tourism organisations and tourism consumers

Open access
Akehurst, Gary·2009·Service Business
DOI 10.1007/s11628-008-0054-2
Open this paper in CoChat — free accountOpen PDF

Abstract

As the World Wide Web has developed considerable bargaining power has been transferred from suppliers to consumers; there is a real need to improve market intelligence and market research for private and public tourism organisations and facilitate timely consumer decision making. This article explores the development of user generated content and specifically the use of web logs or blogs. Tourism organisations cannot afford to ignore the development of user generated content, peer-to-peer web applications and virtual communities. A recent survey found that consumers trusted more websites with reviews than professional guides and travel agencies and far from being an irrelevance, blogs are often perceived to be more credible and trustworthy than traditional marketing communications. But there is a problem: given the sheer number of possibly relevant travel blogs there is a need to locate, extract and interpret blog content and this has proven so far to be time consuming, exhausting and costly, thus negating the relative value of the information obtained. A way forward may be the use of artificial intelligence and “opinion mining” or a blog visualisation system.

Overview

Integrity signals

Registry

Crossref · 10.1007/s11628-008-0054-2

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 40 references

Research works printed but not linked: 4

  1. Adam J, Cobos X, Liu S (2007) Travel 2.0: trends in industry awareness and adoption. New York University and PhoCusWright Inc., New York
  2. Gretzel U, Yoo KH, Purifoy M (2007) Online travel review study: role and impact of online travel reviews. Laboratory for Intelligent Systems in Tourism, Texas A & M University. www.tripadvisor.com/pdfs/OnlineTravelReviewReport.pdf . Retrieved 17 April 2008
  3. Oellrich J, Bauhuber F (2007) Inside of a blog, background and thoughts from the touristic blog Tourismus-zukunft.de. Blogs in tourism conference, Kitzbühel, 12 July
  4. Smudde P (2005) Blogging, ethics and public relations: a proactive and dialogic approach. Pubic Relat Q 50(3):34–38

Cited by

Sorted by citations

Items 101–200 of 421

Related

See all

Metadata

Authors
Akehurst, G.
Affiliations
Erasmus University Rotterdam (NL)
Corresponding author
Akehurst, Gary
Venue
Service Business
Publisher
Springer Science and Business Media LLC
Published
2008-12-11
Volume
3
Issue
1
Pages
51-61
ISSN
  • 1862-8508 (ISSN-L)
  • 1862-8516
DOI
10.1007/s11628-008-0054-2
OpenAlex
W2069664012
Cited by
422
References
40
Citations by year
2026: 14 · 2025: 9 · 2024: 17 · 2023: 21 · 2022: 25 · 2021: 40 · 2020: 36 · 2019: 38 · 2018: 27 · 2017: 37 · 2016: 26 · 2015: 40 · 2014: 29 · 2013: 20 · 2012: 19
FWCI
27.78
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Service Business (publishedVersion, cc-by-nc)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
  • Social Sciences › Library and Information Sciences › Web and Library Services
Keywords
user-generated content, blogs, tourism organizations, tourism consumers, online reviews, consumer trust, market intelligence, online communities, sentiment analysis, artificial intelligence, purchase decision

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