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Cited by 168

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Measuring Guest Satisfaction and Competitive Position in the Hospitality and Tourism Industry: An Application of Stance-Shift Analysis to Travel Blog Narratives

Crotts, John C., Mason, Peyton R., Davis, Boyd·2009·Journal of Travel Research

Abstract

The measurement of guest satisfaction and delight is the focus of this article. An application of a quantitative methodology known as stance-shift analysis is proposed and demonstrated on data composed of Internet blog narratives. The authors argue that the method provides both an efficient and effective means to determine a firm’s competitive position in producing satisfied guests who will not only come back but also recommend the firm to others. Specifically, the method produces relatively detailed evaluations to determine the following: How satisfied are my guests? What are they telling others about their experiences? How is my property performing in creating satisfying guest experiences when compared with the competition? What are my property’s strengths and weaknesses in its competitive environment?

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Metadata

Authors
Crotts, J. C., Mason, P. R., & Davis, B.
Venue
Journal of Travel Research
Published
2009-01-05
Volume
48
Issue
2
Pages
139-151
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W2139079766
Cited by
168
References
2
FWCI
30.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring Guest Satisfaction and Competitive Position in the Hospitality and Tourism Industry: An Application of Stance-Shift Analysis to Travel Blog Narratives. https://app.cochat.ai/papers/10.1177/0047287508328795
The paper
Crotts, J. C., Mason, P. R., & Davis, B. (2009). Measuring Guest Satisfaction and Competitive Position in the Hospitality and Tourism Industry: An Application of Stance-Shift Analysis to Travel Blog Narratives. Journal of Travel Research. https://doi.org/10.1177/0047287508328795

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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