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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) |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| TDDM2407.pdf | 1,07 MB | Adobe PDF | Ver/Abrir |
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