Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/174249
Título: Determinants of water-saving appliances adoption: The role of water scarcity perception in adoption intention
Autor: Maximiano, Carolina Santos
Orientador: Neves, Catarina Paisana Pires Costa das
Palavras-chave: Water-saving appliances
Consumer behaviour intention
Structural equation model
Technology adoption
Water scarcity perception
SDG 6 - Clean water and sanitation
SDG 12 - Responsible production and consumption
Data de Defesa: 22-Out-2024
Resumo: The evolution of societies has intensified resource pressure and environmental degradation as a result of human-induced impacts. Water resources are no exception, with footprint scenarios indicating a deterioration in water scarcity levels unless appropriate actions are taken to change consumption patterns. Water-saving appliances hold the potential to reduce the detrimental impact of water consumption. This research aims to analyse the key determinants that drive individuals to adopt water-saving appliances, as well as the perceived outcomes of adoption. To achieve this, a research model was created and tested using a structural equation modelling. Based on the 279 responses collected, several findings were revealed. The results indicate that the adoption intention is significantly influenced by internal motivators and water scarcity awareness. Furthermore, water scarcity perception impacts the relationship between external and introjected motivators and the intention to adopt the appliances. As an outcome, the adoption intention affects the individual’s perceived wellbeing. These findings could be valuable in guiding fruitful communication strategies to encourage societies to adopt water-saving appliances.
Descrição: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
URI: http://hdl.handle.net/10362/174249
Designação: Mestrado em Estatística e Gestão de Informação, especialização em Análise e Gestão de Informação
Aparece nas colecções:NIMS - Dissertações de Mestrado em Estatística e Gestão da Informação (Statistics and Information Management)

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