Enhancing decision-making on detractor-causing failures: an approach combining data mining and machine learning

Enhancing decision-making on detractor-causing failures: an approach combining data mining and machine learning

The current retail landscape poses new challenges as consumers become increasingly discerning. To remain competitive, retail companies must analyze their databases to identify failures that lead to customer dissatisfaction—particularly detractors, those who report negative experiences. In this conte...

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Bibliographic Details
Main Authors: Yuri A. V. da Silva, Geraldo Cardoso de Oliveira Neto, Gustavo Lima, Sidnei A. de Araújo, Rodrigo Neri Bueno da Silva, Francisco Elanio Bezerra, Marlene Amorim
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Business & Management
Subjects:
Data mining
machine learning
decision tree
retail
net promoter score
detractor
Online Access:https://www.tandfonline.com/doi/10.1080/23311975.2025.2536674
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https://www.tandfonline.com/doi/10.1080/23311975.2025.2536674

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