Cited by 1,566Environmental Sustainability in BusinessEnvironmental Education and SustainabilityDiverse Aspects of Tourism Research

Developing an extended Theory of Planned Behavior model to predict consumers’ intention to visit green hotels

Chen, Mei-Fang, Tung, Pei-Ju·2014·International Journal of Hospitality Management

Integrity signals

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Crossref · 10.1016/j.ijhm.2013.09.006

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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  • The effectiveness of message framing is highly dependent on individual psychological traits.

    “These findings indicate that the effectiveness of message framing is highly dependent on individual psychological traits, providing theoretical foundation for “personalized information design” [66].”

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Authors
Chen, M.-F., & Tung, P.-J.
Affiliations
  • Tatung University (TW)
  • National Chengchi University (TW)
Corresponding author
Chen, Mei-Fang
Venue
International Journal of Hospitality Management
Publisher
Elsevier BV
Published
2014-01
Volume
36
Pages
221-230
ISSN
0278-4319 (ISSN-L)
OpenAlex
W2034057221
Cited by
1,566
References
14
Citations by year
2026: 138 · 2025: 154 · 2024: 216 · 2023: 202 · 2022: 186 · 2021: 191 · 2020: 147 · 2019: 121 · 2018: 91 · 2017: 53 · 2016: 29 · 2015: 28 · 2014: 10
FWCI
62.19
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Hospitality Management (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
  • Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
Keywords
theory of planned behavior, green hotels, green consumer behavior, environmental concern, visit intention, subjective norms, perceived behavioral control

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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.

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