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Customer engagement with tourism social media brands
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“More broadly, past empirical evidence demonstrates that heightened destination awareness increases the likelihood of individuals turning to TSMIs for travel-related information (Harrigan et al. 2017).”
From Influencers and the choice of a travel destination: A customer journey and information processing perspective (2025) · cites this paper as Harrigan et al. 2017
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Metadata
- Authors
- Harrigan, P., Evers, U., Miles, M., & Daly, T.
- Affiliations
- The University of Western Australia (AU)
- University of Canterbury (NZ)
- United Arab Emirates University (AE)
- Corresponding author
- Miles, Morgan
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 59
- Pages
- 597-609
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W2524727912
- Cited by
- 813
- References
- 70
- Citations by year
- 2026: 51 · 2025: 70 · 2024: 89 · 2023: 123 · 2022: 118 · 2021: 100 · 2020: 109 · 2019: 86 · 2018: 43 · 2017: 23
- FWCI
- 145.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Tourism Management (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- BHP Billiton Distinguished Research
- 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 › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Keywords
- customer engagement, tourism brand, social media, scale validation, customer loyalty, behavioral intention, customer involvement, nomological network, scale reduction
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 ›
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