Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/160357
Título: Consumer´s Adoption Of Smart Devices To Prevent Household Food Waste
Autor: Santos, Cláudia Alexandra Pedro dos
Orientador: Pinto, Diego Costa
Gonçalves, Ana Rita da Cunha
Palavras-chave: Food Waste
Green Self-Identity
Smart Home
Smart Refrigerator
Technology Adoption
UTAUT2
SDG 2 - Zero hunger
SDG 11 - Sustainable cities and communities
SDG 12 - Responsible production and consumption
SDG 13 - Climate action
Data de Defesa: 25-Out-2023
Resumo: In some cases the consumer buys food, prepares it, consumes it, and unfortunately sometimes ends up wasting it, generating household food waste. This small action, repeated several times and on a global scale, has made food waste a worldwide problem. The fast technological development has opened up opportunities for the emergence of IoT devices, such as smart refrigerators as a promising tool to prevent food waste. This study aimed to investigate the main factors influencing the adoption of smart refrigerators as a technology to prevent household food waste. By applying and adapting the UTAUT2 model with three new constructs, namely privacy concerns, green self-identity, and attitude towards technology. An online survey was applied to 498 individuals residing in the United States of America. A Partial Least Squares Structural Equation Modeling (PLS-SEM) tool was applied to analyze the participants' data. The main influencers of behavioral intention to use smart refrigerator to prevent food waste were identified as social influence, performance expectancy, attitude, habit, and hedonic motivation, in this respective order. Privacy concerns and green self-identity were shown to play a role in shaping consumers' attitudes and their consequent behavioral intention. This research provides significant theoretical and managerial implications for the adoption of IoT technology to prevent food waste by highlighting both consumer drivers and barriers to technology adoption.
Descrição: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
URI: http://hdl.handle.net/10362/160357
Designação: Mestrado em Marketing Analítico, especialização em Inteligência de Marketing
Aparece nas colecções:NIMS - Dissertações de Mestrado em Marketing Analítico (Data-Driven Marketing)

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