ID: 53266
Autoria:
Fernando de Oliveira Santini, Wagner Junior Ladeira, Valter Afonso Vieira, Clécio Falcão Araújo, Cláudio Hoffmann Sampaio.
Fonte:
RAUSP Management Journal, v. 54, n. 2, p. 178-204, Abril-Junho, 2019. 27 página(s).
Palavras-chave:
Antecedents , Consequences , Impulse buying , Impulsiveness , Meta-analysis
Tipo de documento: Artigo (Inglês)
Ver Resumo
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.