Abstract Purpose The purpose of this paper is to propose a framework to distinguish between various types of antecedents and consequences of impulse buying. The authors tested it using a meta-analytical approach. Design/methodology/approach The authors examined 12 databases and analyzed 178 relationships in 100 articles. For the quantitative data analysis, the authors used the coefficient of correlation r as a metric to measure the effect size of the studied scope variables. Findings The findings of this meta-analysis demonstrated significant relation of antecedents and consequences of the impulse buying behavior, such as consumer impulsiveness (r = 0.464), materialistic consumption (r = 0.344), purchase pleasure (r = 0.270), hedonic value (r = 0.311), income (r = 0.703), gender (r = 0.150), age (r = −0.062), store atmosphere (r = 0.166), decision-making (r = 0.703) and positive emotions (r = 0.323). Research limitations/implications This meta-analysis reviewed relationships found worldwide in the literature, expanding and improving the current knowledge. The meta-analysis identified ways that research on impulse buying is lacking and presented suggestions for the elaboration of new studies to allow future researchers to better define their agendas. Practical implications This meta-analysis brings important questions, such as impulse buying behavior is associated not only with consumer impulsiveness but also with materialistic consumption. Originality/value This research tested the impact of the antecedents and consequences of impulse buying and presented important results through this meta-analytical review. This meta-analysis contributes to the marketing literature, with a set of empirical generalizations, including relationship coefficients and calculated fail-safe numbers.

Resumo Objetivo: Avaliar como diferentes perfis de consumidores reagem à adoção de produtos e serviços tecnológicos por meio da replicação e validação da escala TAP no Brasil. Metodologia: Foi realizado um estudo de caráter descritivo e natureza quantitativa por meio de uma survey. Procedimentos de análise fatorial exploratória e confirmatória foram aplicados para validação da escala. Testes t permitiram verificar diferenças entre os perfis de consumidores analisados. Resultados: A escala TAP é um instrumento confiável e válido para a mensuração da propensão a adoção de tecnologia dos consumidores brasileiros. Neste grupo, aqueles com maior domínio específico em inovação computacional apresentaram maior proficiência no processo de adoção tecnológica. Quando comparados os dados deste estudo com o estudo original norte-americano, os brasileiros apresentam uma maior propensão à adoção de tecnologias. Contribuições: O estudo provê avanços de três maneiras: 1) validando a escala TAP para o uso no Brasil; 2) trazendo insights para pesquisas sobre inovação em domínio específico; 3) contribuindo em estudos sobre potenciais diferenças entre países desenvolvidos e emergentes no que tange à adoção de novas tecnologias e aceitação tardia de inovação.

Abstract Purpose: To evaluate how different consumer profiles react to the adoption of new technologies through the replication and validation of the TAP scale in Brazil. Design/methodology/approach: We designed a descriptive study of a quantitative nature applied through a survey. Exploratory and confirmatory factorial analysis procedures were performed in order to validate the scale. We used t tests to check for statistical differences between consumer profiles. Findings: The TAP scale proved to be a valid and reliable instrument to measure technology adoption propensity among Brazilian consumers. In this group, those in a higher domain of computational innovation showed greater proficiency in the technology adoption process. In a comparison of the data from our study with those of the original one in the USA, Brazilians presented a higher propensity for technology adoption. Originality/value: The study provided advancements in three ways: 1) validating the TAP scale for Brazilian usage; 2) bringing insights to research on innovation in specific domains; 3) contributing to the studies about potential differences between developed and emergent countries related to new technology adoption and late acceptance of innovation.