The influence of religiosity on consumers' evaluations of brands using artificial intelligence

宗教性 心理学 感知 结构方程建模 背景(考古学) 社会心理学 消费者行为 营销 业务 计算机科学 古生物学 机器学习 神经科学 生物
作者
Elizabeth A. Minton,Begum Kaplan,Frank G. Cabano
出处
期刊:Psychology & Marketing [Wiley]
卷期号:39 (11): 2055-2071 被引量:18
标识
DOI:10.1002/mar.21727
摘要

Abstract Prior research is limited that examines how consumers respond to artificial intelligence (AI) used by businesses and in marketing. Specifically, more research is needed that explores which consumers are more likely to support AI use in marketing as well as why this occurs to develop targeted marketing campaigns toward these consumers. Through three studies, our research addresses these gaps by testing the role of religiosity on AI evaluations. Study 1 shows that religiosity positively influences perceptions of AI in marketing, which is mediated by greater trust in AI. Study 2 primes religiosity to demonstrate the causality of the effects, showing that consumers exposed to a religiosity prime more positively evaluate companies and their employees when AI is used. Study 3 then better confirms the underlying mechanisms of these effects using a virtual conversational agent context by showing that higher religiosity consumers are more trusting of the unseen, which leads to greater trust of a company, and ultimately positively influences evaluations of companies using AI. We contribute to belief congruence theory in identifying the role of trust (specifically trust in the unseen related to AI) in the belief‐behavior relationship. We also identify how marketers can use religious cues to increase trust in AI in marketing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
我是老大应助GL采纳,获得10
1秒前
初景发布了新的文献求助30
1秒前
668898发布了新的文献求助10
2秒前
wuji2077发布了新的文献求助10
2秒前
一只啾咪发布了新的文献求助10
2秒前
3秒前
香蕉觅云应助笨笨罡采纳,获得10
3秒前
可爱的函函应助笨笨罡采纳,获得10
3秒前
共享精神应助笨笨罡采纳,获得10
3秒前
大模型应助笨笨罡采纳,获得10
3秒前
顾矜应助坦率采纳,获得10
3秒前
3秒前
烟花应助科研通管家采纳,获得30
3秒前
4秒前
4秒前
上官若男应助科研通管家采纳,获得10
4秒前
GG应助onle采纳,获得10
4秒前
Hello应助科研通管家采纳,获得10
4秒前
小小酥完成签到,获得积分10
4秒前
所所应助科研通管家采纳,获得10
4秒前
脑洞疼应助科研通管家采纳,获得10
4秒前
打打应助科研通管家采纳,获得10
4秒前
5秒前
今后应助科研通管家采纳,获得10
5秒前
5秒前
GeoGou812完成签到,获得积分10
6秒前
cai发布了新的文献求助10
6秒前
里奥完成签到,获得积分10
6秒前
6秒前
熙泽关注了科研通微信公众号
6秒前
7秒前
林夕发布了新的文献求助10
8秒前
8秒前
9秒前
零零发布了新的文献求助10
11秒前
11秒前
Ellen发布了新的文献求助10
11秒前
11秒前
JXY189关注了科研通微信公众号
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Concepts in the Brain 500
核安全综合知识2024版 500
Photothermal Science and Techniques 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7719891
求助须知:如何正确求助?哪些是违规求助? 9273505
关于积分的说明 20097670
捐赠科研通 7295963
什么是DOI,文献DOI怎么找? 3299964
关于科研通互助平台的介绍 2453747
邀请新用户注册赠送积分活动 2307357