Past, Present, and Future of Impulse Buying Research Methods: A Systematic Literature Review

Frontiers in Psychology

article

Marco Mandolfo¹  Lucio Lamberti¹ 

[1] Department of Management, and Industrial Engineering

关键词: impulse buying;    impulse purchase;    systematic review;    consumer behaviour;    consumer neuroscience;    neuromarketing;   

DOI  :  10.3389/fpsyg.2021.687404

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Impulse buying (IB) represents a pivotal subject in consumer psychology. A general agreement on its core elements and their relationship is arguably established. So far, however, there has been little discussion about how to assess impulse purchases, leading to a potential divergence of practise from theory and complexities in cross-study comparability. This systematic literature review investigates the research methods and metrics employed in high-quality literature to evaluate impulse shopping behaviours across different environments, including online, offline, and multichannel settings. Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) criteria, the literature search has been conducted on databases relevant for scientific literature, including Scopus, Web of Science, and ProQuest. Fifty-four articles were included in this systematic review. Findings show the existence of four methods to investigate IB, namely quantitative self-reports, laboratory investigations, fieldwork observations, and qualitative interviews. A comparison of the four methods in terms of fit highlights that self-reports and interviews provide a significant contribution in assessing the cognitive facet of impulse purchasing. Laboratory investigations and fieldwork observation find a better fit with the conative and visceral facets of impulsive buying. Considering the major role of affective charges occurring during impulse shopping, complementary research approaches, and metrics belonging to applied psychophysiology and consumer neuroscience are examined. Three opportunities for future research are discussed, including theory building and refinement, understanding individual differences, and honing behavioural predictions.

【 授权许可】

CC BY