Applying the Theory of Planned Behavior to Study Tap and Bottled Water Consumption: Analysis of the Effects of Pro-Environmental Measures Adopted in a HEI

Resume

This work is cataloged in the Scientific Portal. Officially published in The 4th International Conference on Environmental Science and Applications (ICESA 2023) (2023). Referenced as: "Sousa, Sara; Correia, Elisabete; Larguinho, Manuela; Viseu, Clara".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.11159/icesa23.132

Bibliographic & Editorial Details

Venue / Journal / Book The 4th International Conference on Environmental Science and Applications (ICESA 2023)

Publisher Avestia Publishing

Official Identifiers

DOI: 10.11159/icesa23.132

ISSN: 2563-5298

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição

C

Clara Margarida Pisco Viseu Investigador

Ciência ID: 3E12-C3CE-B48F

View Profile

M

Maria Manuela Coelho Larguinho Investigador

Ciência ID: 3014-AFB1-2513

View Profile

Coautores da Obra

Autores discriminados na citação da publicação:

Sousa, Sara; Correia, Elisabete; Larguinho, Manuela; Viseu, Clara

Clique no botão acima para consultar a API da FCT e descobrir os perfis Ciência ID dos coautores.

Other Related Publications

Conference paper • 2026

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

Conference paper • 2026

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

Conference paper • 2026

Applying the Theory of Planned Behavior to Study Tap and Bottled Water Consumption: Analysis of the Effects of Pro-Environmental Measures Adopted in a HEI 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Applying the Theory of Planned Behavior to Study Tap and Bottled Water Consumption: Analysis of the Effects of Pro-Environmental Measures Adopted in a HEI 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

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

Export Bibliographic Citation