The DOI matches its Crossref record.
Tourism and Hospitality Marketing: A Global Perspective
Abstract
With over 70 global case studies and vignettes, this textbook covers all the key marketing principles applied to tourism and hospitality, showing how these concepts work in practice and demonstrating the diverse range of tourism and hospitality products on offer. Chapters are packed with pedagogical features that will help readers consolidate their learning, including: - Chapter objectives - Key terms - Discussion questions and exercises - Links to useful websites - Profiles of successful individuals and organizations Tourism and Hospitality Marketing is accompanied by a website that offers lecturers answers to the discussion questions and exercises in the book, case study questions, a test bank, PowerPoint slides and a list of additional teaching resources.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“One of the most important variables explaining consumer behavior is motivation [49].”
From Push and Pull Travel Motivation: Segmentation of the Greek Market for Social Media Marketing in Tourism (2020) · cites this paper as [49]
Citations
Cited by
Sorted by citations
Hall, J. K., Matos, S. V., Sheehan, L., & Silvestre, B. D. S. (2012) · Journal of Management Studies · doi:10.1111/j.1467-6486.2012.01044.x · Cited by 455
The influence of a film on destination image and the desire to travel: a cross‐cultural comparison
Hudson, S., Wang, Y., & Gil, S. M. (2011) · International Journal of Tourism Research · doi:10.1002/jtr.808 · Cited by 226
Self-citationFuture research directions in tourism marketing
Tsiotsou, R. H., & Ratten, V. (2010) · Marketing Intelligence & Planning · doi:10.1108/02634501011053702 · Cited by 153
Katsikari, C., Hatzithomas, L., Fotiadis, T., & Folinas, D. (2020) · Sustainability · doi:10.3390/su12114770 · Cited by 112
Berhanu, K., & Raj, S. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e03439 · Cited by 102
“Demographic variables such as age, gender, and education are the most crucial elements used by marketers for segmentation (Make, 2014; Hudson, 2008).”
Background
Metadata
- Authors
- Hudson, S.
- Corresponding author
- Hudson, Simon
- ORCID
- Hudson, Simon
- Venue
- SAGE Publications Ltd eBooks
- Publisher
- SAGE Publications Ltd
- Published
- 2008
- OpenAlex
- W591131287
- Cited by
- 126
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 10 · 2021: 12 · 2020: 16 · 2019: 8 · 2018: 7 · 2017: 5 · 2016: 12 · 2015: 11 · 2014: 14 · 2013: 6 · 2012: 5
- FWCI
- 4.29
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- SAGE Publications Ltd eBooks (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Hospitality and Tourism Education
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- tourism marketing, hospitality marketing, marketing principles, tourism products, hospitality products, international tourism
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.
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