Applying Business Intelligence to analyse world companies’ sustainability ESG rating

Abstract

Esta obra encontra-se catalogada no Portal Científico. Publicada oficialmente em Conference on Economic Development and Social Sustainability (EDaSS). (2022). Referenciada como: "Pereira, Inês Veiga; Célia talma".

Detalhes Bibliográficos e Editoriais

Veículo / Revista / Livro Conference on Economic Development and Social Sustainability (EDaSS).

Local de Publicação / Conferência porto, Portugal

Papel / Role Coauthor

Descoberta de Coautores & Ciência ID

Autores discriminados na citação da obra:

Pereira, Inês Veiga; Célia talma

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Applying Business Intelligence to analyse world companies’ sustainability ESG rating - a preliminary study.

Abstract

Detalhes Bibliográficos e Editoriais

Descoberta de Coautores & Ciência ID

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Applying Business Intelligence to analyse world companies’ sustainability ESG rating - a preliminary study.

Abstract

Detalhes Bibliográficos e Editoriais

Descoberta de Coautores & Ciência ID

Other Related Publications

AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

SiSchool: A QR-Based Mobile Device Control System for Educational Environments

From predicting dropout rates to responsible intervention: explainable machine learning for academic success in higher education

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