The effect of atmosphere on customer engagement in upscale hotels: an application of S-O-R paradigm
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Registry
Cites
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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?
SOR model is an important framework for understanding the antecedents, interventions and outcomes of tourism activities in environmental psychology.
“SOR model is an important framework for understanding the antecedents, interventions and outcomes of tourism activities in environmental psychology (Choi and Kandampully, 2019; Fakfare et al., 2024).”
From A study on the influence of rural tourism’s perceived destination restorative qualities on loyalty based on SOR model (2025) · cites this paper as Choi and Kandampully, 2019
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References 88 · Cited by 257
- Authors
- Choi, H., & Kandampully, J.
- Affiliations
- The Ohio State University (US)
- Venue
- International Journal of Hospitality Management
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 77
- Pages
- 40-50
- ISSN
- 0278-4319 (ISSN-L)
- OpenAlex
- W2887369848
- Cited by
- 257
- References
- 88
- Citations by year
- 2026: 41 · 2025: 43 · 2024: 33 · 2023: 45 · 2022: 34 · 2021: 29 · 2020: 20 · 2019: 12
- FWCI
- 23.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Hospitality Management (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- hotel atmosphere, customer engagement, upscale hotels, customer satisfaction, social design, room design, word of mouth, customer promotion, stimulus-organism-response model
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.
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