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Cited by 355

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.

Adapting to the Internet: Trends in Travelers’ Use of the Web for Trip Planning

Xiang, Zheng, Wang, Dan, O’Leary, Joseph T., Fesenmaier, Daniel R.·2015·Journal of Travel Research

Abstract

The influence of the Internet on our social and economic life is well documented. However, few studies have been conducted to assess how travelers have adapted to the Internet over time. Using a series of national surveys conducted over the past 6 years (2007–2012), this study describes important changes taking place in the use of the Internet by American travelers. The results point to a number of key trends in travelers’ use of the Internet and suggest that there is a growing “bifurcation” between traditional online travelers, that is, those who use the Internet for standard travel products and those who are beginning to adopt alternative channels and products in search of deeper and more authentic experiences. This article discusses several important implications of these trends for both research and practice.

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Registry

Crossref · 10.1177/0047287514522883

Cites

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Citations

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Metadata

Authors
Xiang, Z., Wang, D., O’Leary, J. T., & Fesenmaier, D. R.
Venue
Journal of Travel Research
Published
2014-02-24
Volume
54
Issue
4
Pages
511-527
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W2130333844
Cited by
355
References
102
FWCI
87.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adapting to the Internet: Trends in Travelers’ Use of the Web for Trip Planning. https://app.cochat.ai/papers/10.1177/0047287514522883
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Xiang, Z., Wang, D., O’Leary, J. T., & Fesenmaier, D. R. (2015). Adapting to the Internet: Trends in Travelers’ Use of the Web for Trip Planning. Journal of Travel Research. https://doi.org/10.1177/0047287514522883

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.