A carregar...
Publicação
What explains individual performance of food delivery Apps during the COVID-19 pandemic?
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 912.52 KB | Adobe PDF |
Orientador(es)
Resumo(s)
Ao longo dos anos, e-commerce tornou-se uma ferramenta poderosa para melhorar certos negócios e indústrias em diferentes países de todo o mundo e para estreitar a sua relação com clientes. O desenvolvimento da tecnologia e a possibilidade de descarregar aplicações de qualquer tipo de serviço para o smartphone, têm potencializado essa relação. As aplicações de entrega de alimentos (FDA) estão a ganhar popularidade entre os utilizadores de smartphones e o número dos restaurantes aderentes tende a aumentar. Com o aparecimento do vírus COVID-19, a indústria alimentar e o sector da restauração tiveram de mudar drasticamente os seus negócios devido às restrições de bloqueio impostas pelo governo para reduzir a transmissão do vírus. O objetivo desta pesquisa é compreender quais os fatores que têm influência no desempenho individual dos serviços de entrega de alimentos (FDA) durante a pandemia COVID-19. Para a falta de literatura sobre este desempenho individual, este estudo propõe um modelo que integra a teoria TTF com a teoria U&G. Foi utilizado o método dos mínimos quadrados parciais (PLS) para analisar as 372 respostas dos estudantes universitários dos países da UE que já encomendam alimentos da FDA, recolhidas através de um inquérito em linha. Os resultados estatísticos e a discussão mostram que o desempenho individual é mais influenciado pela utilização desta aplicação do que a variável TTF. Por outro lado, a utilização é afetada pela pressão social, experiência de entrega, experiência do cliente, preço e facilidade de utilização. Isto significa que os hábitos e costumes dos utilizadores desempenham um papel importante quando se utiliza esta aplicação do que a funcionalidade da mesma. Os resultados deste estudo oferecem várias implicações e recomendações para futuras investigações sobre os FDA.
Over the years, e-commerce has become a powerful tool to improve certain businesses and industries in many countries around the world and to make their relationships with customers closer. The development of technology and the ability to download applications of any type of service has enhanced this relationship. Food delivery apps (FDA) are gaining popularity among smartphone users and the number of restaurants adherents has trended upward. With the appearance of the virus COVID-19, the food industry and restaurant sector had to dramatically modify their business due to the lockdown restrictions imposed by the government to reduce transmission of the virus. The aim of this research is to understand the factors influencing individual performance in FDA during the Covid-19 pandemic. To address the lack of literature about this individual performance this study proposes a model that joins the task-technology fit (TTF) theory with uses and gratification (U&G) theory. The 372 responses from EU countries’ university students who already order food from FDA was analysed using the partial least squares (PLS) method. The results show that individual performance is more influenced by the use of this application than the TTF variable, and that the use is affected by social pressure, delivery experience, customer experience, price, and ease of use. The findings of this study offer implications and recommendations for future research on FDA.
Over the years, e-commerce has become a powerful tool to improve certain businesses and industries in many countries around the world and to make their relationships with customers closer. The development of technology and the ability to download applications of any type of service has enhanced this relationship. Food delivery apps (FDA) are gaining popularity among smartphone users and the number of restaurants adherents has trended upward. With the appearance of the virus COVID-19, the food industry and restaurant sector had to dramatically modify their business due to the lockdown restrictions imposed by the government to reduce transmission of the virus. The aim of this research is to understand the factors influencing individual performance in FDA during the Covid-19 pandemic. To address the lack of literature about this individual performance this study proposes a model that joins the task-technology fit (TTF) theory with uses and gratification (U&G) theory. The 372 responses from EU countries’ university students who already order food from FDA was analysed using the partial least squares (PLS) method. The results show that individual performance is more influenced by the use of this application than the TTF variable, and that the use is affected by social pressure, delivery experience, customer experience, price, and ease of use. The findings of this study offer implications and recommendations for future research on FDA.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
E-commerce Serviço de Entrega de Comidas Desempenho individual Task-technology fit COVID-19 Food delivery apps Individual Performance