MDIM Journal of Management Review and Practice
issue front

Nilanjan Ray1, Somnath Chaudhuri2, Dillip Kumar Das3, Pema Lama4 and Sudip Basu5

First Published 10 Feb 2026. https://doi.org/10.1177/mjmrp.261417719
Article Information
Corresponding Author:

Nilanjan Ray, Faculty of Management, JIS University, Kolkata, West Bengal 700109, India.
Email: dr.nilanjanmgmt@gmail.com

1Faculty of Management, JIS University, Kolkata, West Bengal, India

2Department of Geography and Environmental Sciences, University of Southampton, UK

3Department of Tourism Management, The University of Burdwan, West Bengal, India

4Department of Commerce, The University of Calcutta, Kolkata, West Bengal, India

5Department of Management Studies, Asansol Engineering College, Asansol, West Bengal, India

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.

Abstract

This study investigates how ambient conditions, specifically lighting, scent, music, and temperature, affect customer satisfaction in Indian urban restaurants. Grounded in Bitner’s servicescape model and the stimulus–organism–response (S-O-R) framework, the research aims to measure expectation–perception gaps across these sensory dimensions and assess their impact on overall satisfaction. A structured survey was administered to 250 respondents using a 5-point Likert scale to capture both expectations and perceptions of ambient conditions. The Wilcoxon signed-rank test, a nonparametric method suitable for ordinal data, was applied to examine significant differences between expectation and perception scores for each factor. Results reveal statistically significant differences across all four ambient variables. Lighting, scent, and music exceeded customer expectations, indicating positive disconfirmation and enhanced satisfaction. Conversely, temperature fell short of expectations, highlighting discomfort as a key dissatisfaction driver. The findings affirm that ambient cues are not peripheral but central to shaping experiential quality in hospitality settings. This study contributes by integrating servicescape and S-O-R theories with a nonparametric statistical approach to empirically test expectation–perception gaps in an Indian context. It highlights dimension-specific insights, offering actionable guidance for restaurant managers to refine sensory strategies for competitive advantage.

Keywords

Servicescape, S-O-R Model, Consumer Satisfaction, Consumer Expectation and Perception

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