Perspectives on Michelin Green Star Restaurants: Inspector and Customer Review Analysis

Rapid technological advancements have transformed people’s lifestyles and eating habits. While technological innovations have brought convenience, they have also contributed to the growing challenges of global warming and environmental pollution. This study aims to explore the perspectives of customers and Michelin inspectors on the service quality and sustainability practices of Michelin Green Star restaurants. Data were collected from the global Michelin Guide website and TripAdvisor, and text mining techniques were applied to analyze online reviews from both inspectors and customers. Using the BERTopic model, the study identified seven key aspects of restaurant service quality considered in Michelin restaurant evaluations, nine aspects specific to Green Star restaurant assessments, and eight aspects highlighted in customer reviews. These findings reveal the similarities and differences in the evaluation criteria used by inspectors and customers, providing valuable insights for restaurant operators.

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Publication Details

Journal
IIAI Letters on Informatics and Interdisciplinary Research
Published
2025-01-01
DOI
https://doi.org/10.52731/liir.v006.357
Primary Topic
Wine Industry and Tourism
Type
article
Field-Weighted Citation Impact
0.00
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article

Perspectives on Michelin Green Star Restaurants: Inspector and Customer Review Analysis

Yu‐Hsiang Hsiao, Pei-Yin Yang, Mu‐Chen Chen
IIAI Letters on Informatics and Interdisciplinary Research
Wine Industry and Tourism
article

Perspectives on Michelin Green Star Restaurants: Inspector and Customer Review Analysis

Yu‐Hsiang Hsiao, Pei-Yin Yang, Mu‐Chen Chen
article en

Abstract

Rapid technological advancements have transformed people’s lifestyles and eating habits. While technological innovations have brought convenience, they have also contributed to the growing challenges of global warming and environmental pollution. This study aims to explore the perspectives of customers and Michelin inspectors on the service quality and sustainability practices of Michelin Green Star restaurants. Data were collected from the global Michelin Guide website and TripAdvisor, and text mining techniques were applied to analyze online reviews from both inspectors and customers. Using the BERTopic model, the study identified seven key aspects of restaurant service quality considered in Michelin restaurant evaluations, nine aspects specific to Green Star restaurant assessments, and eight aspects highlighted in customer reviews. These findings reveal the similarities and differences in the evaluation criteria used by inspectors and customers, providing valuable insights for restaurant operators.

IIAI Letters on Informatics and Interdisciplinary ResearchVol. 6
National Yang Ming Chiao Tung University (TW), National Taipei University (TW)
Openalex Percentile: Top 74%
Wine Industry and Tourism
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