Determining the predictors of wine purchase intention through the use of meta-analysis

Abstract

Purpose-Wine consumer behavior has long been a topic of discussion among scholars and industry professionals aiming to understand the underlying predictors of key behavioral outcomes. To help explain wine consumer behavior, concepts such as involvement, expertise, loyalty, satisfaction and perceived risk are often examined. The overarching objective of this study is to determine the relationship between these predictors and their impact on wine purchase intention utilizing a meta-analytical structural equation modeling (MASEM) technique. Design/methodology/approach-As MASEM provides substantive evidence regarding the relationships between theoretical constructs through the combination of multiple studies, the researchers' aim is to make definitive statements about the predictors of purchase intention. Findings-Findings revealed several relationships that support previous research but also identified relationships that contradict previous literature. This study contributes valuable insights into consumer behavior that wine brands can utilize to improve their marketing efforts. Practical implications-Wine marketers with a greater understanding of the stronger predictors of purchase intention should be able to create marketing plans that drive wine sales. Originality/value-Despite the abundance of research that has utilized these theoretical constructs to demonstrate their propensity for determining behavioral outcomes such as purchase intention, no previous attempts have synthesized this body of literature through the use of meta-analysis.