arbiter
JournalsPricingAccount

Decoding the Dining Atmosphere: Ambient Conditions and Customer Satisfaction in Restaurant Servicescapes

Nilanjan Ray et al.

ASEAN Journal on Hospitality and Tourism2025https://doi.org/10.5614/ajht.2025.23.2.05article
ABDC C
Weight
0.50

What the paper says

This study investigates the effects of ambient conditions, one of the essential dimensions of the Servicescape Model, on restaurant customer satisfaction. Ambient conditions like lighting, music, scent, and temperature are extremely influential in shaping customer feelings and perceptions. Based on Bitner's Servicescape and the Stimulus-Organism-Response (S-O-R) model, the study collected data from 230 survey participants in Indian urban restaurants. Using descriptive statistics, correlation matrices, and multiple regression analysis, the research determines scent and lighting to be strong predictors of satisfaction, then music. Temperature, although applicable, failed to show a statistically significant effect. Results of the findings provide practical implications for optimizing service environments in the hospitality industry.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.5614/ajht.2025.23.2.05

Or copy a formatted citation

@article{nilanjan2025,
  title        = {{Decoding the Dining Atmosphere: Ambient Conditions and Customer Satisfaction in Restaurant Servicescapes}},
  author       = {Nilanjan Ray et al.},
  journal      = {ASEAN Journal on Hospitality and Tourism},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.5614/ajht.2025.23.2.05},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Decoding the Dining Atmosphere: Ambient Conditions and Customer Satisfaction in Restaurant Servicescapes

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.