Modern-day marketing concepts based on face recognition and neuro-marketing: a review and future research directions

Author:

Srivastava GautamORCID,Bag SurajitORCID

Abstract

PurposeData-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/approachThe 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.FindingsAn 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 implicationsNeuro-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/valueThe uniqueness of this study lies in that it provides an updated review on neuro-marketing and face recognition marketing.

Publisher

Emerald

Subject

Business and International Management,Strategy and Management

Reference93 articles.

1. State-of-the-art in artificial neural network applications: a survey;Heliyon,2018

2. A neural network face recognition system;Engineering Applications of Artificial Intelligence,2003

3. Deep learning for EEG-based preference classification in neuromarketing;Applied Sciences,2020

4. Neuromarketing research in the last five years: a bibliometric analysis;Cogent Business and Management,2021

5. Using neuroscience to understand the impact of premium digital out-of-home media;International Journal of Market Research,2019

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3