市场调研
市场营销管理
定量营销研究
营销
市场营销策略
市场营销学
营销投资回报率
营销组合
数字营销
关系营销
计算机科学
独创性
业务
心理学
创造力
社会心理学
作者
Gautam Srivastava,Surajit Bag
出处
期刊:Benchmarking: An International Journal
[Emerald (MCB UP)]
日期:2023-02-28
卷期号:31 (2): 410-438
被引量:10
标识
DOI:10.1108/bij-09-2022-0588
摘要
Purpose Data-driven marketing is replacing conventional marketing strategies. The modern marketing strategy is based on insights derived from customer behavior information gathered from their facial expressions and neuro-signals. This study explores the potential for face recognition and neuro-marketing in modern-day marketing. Design/methodology/approach The study conducts an in-depth examination of the extant literature on neuro-marketing and facial recognition marketing. The articles for review are downloaded from the Scopus database, and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is then used to screen and choose the relevant papers. The systematic literature review method is applied to conduct the study. Findings An extensive review of the literature reveals that the domains of neuro-marketing and face recognition marketing remain understudied. The authors’ review of selected papers delivers five neuro-marketing and facial recognition marketing themes that are essential to modern marketing concepts. Practical implications Neuro-marketing and facial recognition marketing are artificial intelligence (AI)-enabled marketing techniques that assist in gaining cognitive insights into human behavior. The findings would be of use to managers in designing marketing strategies to enhance their marketing approach and boost conversion rates. Originality/value The uniqueness of this study lies in that it provides an updated review on neuro-marketing and face recognition marketing.
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