AI‐Driven Sentiment Analysis for Retail Management: A Graph‐Based DSS Comparing Franchise and Company‐Owned Stores

ABSTRACT This paper introduces an AI‐driven Decision Support System (DSS) for sentiment analysis of customer reviews in Starbucks UK. The methodology involves three main steps: collecting customer reviews from trusted sources, applying AI‐driven preprocessing techniques to extract key attributes, and using Graph Machine Learning techniques to unveil customer satisfaction. A new Graph‐Based Sentiment Analysis Algorithm is proposed to extract object–sentiment pairs from each comment and model relationships through a graph‐based approach. Results indicate a superior performance in terms of accuracy and efficiency compared to cell‐based methods. The analysis identifies drivers of customer satisfaction, including value for money, quality experience, and ambiance.

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Publication Details

Journal
Managerial and Decision Economics
Published
2024-12-16
DOI
https://doi.org/10.1002/mde.4462
Citations
2
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.69
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article

AI‐Driven Sentiment Analysis for Retail Management: A Graph‐Based DSS Comparing Franchise and Company‐Owned Stores

Jérôme Baray, Gérard Cliquet
2 citations
Managerial and Decision Economics
Sentiment Analysis and Opinion Mining
0.69
article

AI‐Driven Sentiment Analysis for Retail Management: A Graph‐Based DSS Comparing Franchise and Company‐Owned Stores

Jérôme Baray, Gérard Cliquet
article en
2 citations

Abstract

ABSTRACT This paper introduces an AI‐driven Decision Support System (DSS) for sentiment analysis of customer reviews in Starbucks UK. The methodology involves three main steps: collecting customer reviews from trusted sources, applying AI‐driven preprocessing techniques to extract key attributes, and using Graph Machine Learning techniques to unveil customer satisfaction. A new Graph‐Based Sentiment Analysis Algorithm is proposed to extract object–sentiment pairs from each comment and model relationships through a graph‐based approach. Results indicate a superior performance in terms of accuracy and efficiency compared to cell‐based methods. The analysis identifies drivers of customer satisfaction, including value for money, quality experience, and ambiance.

Managerial and Decision EconomicsVol. 46(4)
Centre National de la Recherche Scientifique (FR), Université Nantes Angers Le Mans (FR), Le Mans Université (FR), Université de Rennes (FR)
Openalex Percentile: Top 23%
Sentiment Analysis and Opinion Mining
0.69
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AI‐Driven Sentiment Analysis for Retail Management: A Graph‐Based DSS Comparing Franchise and Company‐Owned Stores — Jérôme Baray, Gérard Cliquet · Managerial and Decision Economics (2024) | TGRS Research Map | TGRS