Please use this identifier to cite or link to this item: http://hdl.handle.net/11612/1835
Authors: Aguiar, Matheus Alves
metadata.dc.contributor.advisor: Marques, Guilherme de Sousa
Title: A influência dos aspectos renda e confiança na motivação de compra on-line.
Keywords: Análise de Regressão;Renda;Confiança;Regression Analysis;Income;Confidence;E-commerce
Issue Date: 4-Mar-2020
Publisher: Universidade Federal do Tocantins
Citation: AGUIAR, Matheus Alves. A influência dos aspectos renda e confiança na motivação de compra on-line. 2017. 27 f. TCC (Graduação) - Curso de Tecnologia em Logística, Universidade Federal do Tocantins, Araguaína, 2017.
metadata.dc.description.resumo: Diante da revolução que a sociedade está vivendo, a era da comunicação, e os avanços tecnológicos em decorrência da dissipação da internet, este estudo teve como objetivo verificar a influência da renda e confiança no comportamento de compras on-line. Para a coleta de dados foram aplicados 80 questionários com perguntas de alto preenchimento composto por cinco escalas que mediram a intensidade de concordância para cada questão, qualificando-se assim como abordagem quantitativa. A presente pesquisa verificou a influência e correlação de duas hipóteses, H1: A renda dos consumidores exerce influencia sobre a compra pela internet. H2: A confiança dos consumidores influencia a compra pela internet. Onde se comprovou o impacto destas sobre a compra on-line. Os dados obtidos foram analisados por aplicação de técnicas estatísticas paramétricas cálculos de estatísticas descritivas: médias, desvio padrão e correlações; cálculos de estatísticas multivariadas: análises de regressões lineares múltiplas. Os resultados comprovaram que as hipóteses renda confiança influenciam na compra on-line de forma significativa, e mostraram o impacto das mesmas para os e-consumidores avaliados.
Abstract: Faced with the revolution that society is experiencing, the era of communication, and technological advances due to the dissipation of the internet, this study aimed to verify the influence of income and trust in online shopping behavior. For the data collection, 80 questionnaires with high-fill questions were applied, consisting of five scales that measured the intensity of agreement for each question, thus qualifying as a quantitative approach. The present research verified the influence and correlation of two hypotheses, H1: The income of the consumers exerts influence on the purchase through the internet. H2: Consumer confidence influences buying over the internet. Where the impact of these on the online purchase has been proven. The data obtained were analyzed by applying parametric statistical techniques calculations of descriptive statistics: means, standard deviation and correlations; Multivariate statistics calculations: multiple linear regression analyzes. The results showed that the confidence income hypothesis influence the online purchase in a significant way, and they showed the impact of the same to the evaluated econsumers.Faced with the revolution that society is experiencing, the era of communication, and technological advances due to the dissipation of the internet, this study aimed to verify the influence of income and trust in online shopping behavior. For the data collection, 80 questionnaires with high-fill questions were applied, consisting of five scales that measured the intensity of agreement for each question, thus qualifying as a quantitative approach. The present research verified the influence and correlation of two hypotheses, H1: The income of the consumers exerts influence on the purchase through the internet. H2: Consumer confidence influences buying over the internet. Where the impact of these on the online purchase has been proven. The data obtained were analyzed by applying parametric statistical techniques calculations of descriptive statistics: means, standard deviation and correlations; Multivariate statistics calculations: multiple linear regression analyzes. The results showed that the confidence income hypothesis influence the online purchase in a significant way, and they showed the impact of the same to the evaluated econsumers.
URI: http://hdl.handle.net/11612/1835
Appears in Collections:Logística

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