Investigating the impact of artificial intelligence on consumer’s purchase intention in e-retailing

Author:

Bhagat Rohit,Chauhan Vinay,Bhagat Pallavi

Abstract

Purpose Technology has been witnessing a rapid growth. The advent of artificial intelligence has further enhanced the satisfaction level of consumers, which makes it even more vital in the current scenario. This paper aims to explore the factors affecting practical implacability of artificial intelligence and its impact on consumers’ online purchase intention. Design/methodology/approach This paper has used a technology-based model as the base to explore the different factors affecting consumers’ purchase intention towards e-retailing. This study has formulated a model that demonstrates the integration of artificial intelligence in retailing by the business organizations so as to understand the needs of customers and help them accept technology. This study has further explored faith, subjective norms and consciousness as constructs which enhance the implacability of artificial intelligence. Findings This study shows that artificial intelligence positively influences consumers’ buying behaviour. This study through a model also shows that integration of artificial intelligence enhances consumers’ purchase intention. Research limitations/implications The study has been focusing on a portion of target population. So there is scope to include the whole set of the population to get closer-to-accurate results. Practical implications The study offers useful inputs for academicians as well as marketers for predicting buying behaviour of consumers. Marketing managers can use artificial intelligence–embedded technology to enhance online purchase intention. Social implications The study shows that an increase in consciousness towards e-retailing has made consumers keenly analyse and purchase products on the basis of merit and usefulness of the products. Originality/value The contribution has been made with the best of knowledge in formulating an integrated artificial intelligence model for consumers’ purchase intention in e-retailing.

Publisher

Emerald

Subject

Business and International Management,Management of Technology and Innovation

Reference66 articles.

1. Object detection using deep learning and artificial intelligence in E-Commerce;Ire J,2019

2. The theory of planned behaviour;Organizational Behavior and Human Decision Processes,1991

3. Consumer attitudes towards online shopping: the effects of trust, perceived benefits, and perceived web quality;Internet Research,2015

4. The integration of artificial intelligence in retail: benefits, challenges and a dedicated conceptual framework;Amfiteatru Economic,2021

5. The role of perceived value mediates the effect of utilitarian and hedonic shopping value on intent to online repurchase;Int. J. Manag. Commer. Innov,2019

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