Processo de tomada de decisão de compra: proposta de modelo para a compra por impulso

• Ano de defesa: 2018
• Autor(a) principal: Martins, Erika Camila Buzo
• Orientador(a): Serralvo, Francisco Antonio
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Pontifícia Universidade Católica de São Paulo
• Programa de Pós-Graduação: Programa de Estudos Pós-Graduados em Administração
• Departamento: Faculdade de Economia, Administração, Contábeis e Atuariais
• País: Brasil
• Palavras-chave em Português: Compras - Processo decisório; Neurociênciaa; Compra por impulso
• Palavras-chave em Inglês: Shopping - Decision making; Neurosciences; Impulse purchase
• Área do conhecimento CNPq: CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
• Link de acesso: https://tede2.pucsp.br/handle/handle/21120

Shopping is a present and necessary behavior for most people nowadays, fact that leads researchers to seek to understand how purchasing decisions are formulated and carried out. This process contemplates affective, cognitive, social and cultural factors and, despite considering other aspects, depending on the author who has developed it, has its effectiveness confirmed. However, impulse buying is estimated only as a simplification of steps that go through the visualization of the object, the desire involved by the situation and the act of purchase, not considering aspects that may influence impulse buying behavior, from strategically stimuli allocated that allows a coherent associative stimulation, activating "mental triggers" prior to the desire to consume. This work proposes to present a Decision-Making Model for Buying by Impulse and, for this, were used neuroscientific components that crosses the automatic and deliberative neural systems, as well as the theory of heuristics as mental "triggers" that can favor access to the memory from correct stimuli. As a way of verifying the validity of the Model, an experiment was developed with 911 women from a quantitative research, using the Typeform software and were analyzed using the Chi-square and ANOVA tests, which, however, did not confirm the model proposed, rejecting all hypotheses, which leads to the conclusion that there is a need to modify the structure of the questionnaire, analysis measures or further studies with the use of neuroscientific equipment, in Laboratory, to conclude its validation