已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Are Indian Consumers Happy with Artificial Intelligence Enabled Personalized Customer Service

营销 业务 样品(材料) 客户对客户 服务提供商 观点 客户保留 服务(商务) 服务质量 色谱法 艺术 视觉艺术 化学
作者
R. Renu Isidore,C. Joe Arun
出处
期刊:Academy of Marketing Studies Journal 卷期号:25
摘要

Both Indian and international businesses have adopted Artificial intelligence (AI) to provide customer services in the form of recommendation engines, chatbots, virtual assistants, etc across the Indian consumer market. Though advanced technologies lead to better services, customers’ perception of those services needs to be measured. This study surveys a sample of 1028 Indian consumers countrywide, their view on the AI-run customer services was measured via the questionnaire survey method by adopting convenience and snow-ball sampling techniques. Ten different viewpoints on the AI-run customer services were measured in both positive and negative aspects. Using Independent sample t-test and ANOVA, these variables were tested against the preferences for solving customer issues, demographics (gender, age, marital status), AI knowledge level, willingness to share personal data, and interaction with AI like chatbots and online virtual assistants. The results show that AI customer services are more appreciated by young consumers (25 years and below); male consumers; those who do not prefer human interaction for solving customer issues; those who have good knowledge about AI; those who are willing to share personal information and by those who have interacted with AI. Businesses need to upskill and invest in the right technology to provide a safe and personalized customer service to the end consumer. These results would benefit businesses to learn what the consumers really want and how to educate them to provide better services the way they want it by adopting new technology.

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
Tayzon完成签到,获得积分10
刚刚
1秒前
orca发布了新的文献求助10
3秒前
3秒前
土豆发布了新的文献求助10
4秒前
花痴的善若完成签到,获得积分10
5秒前
鲤鱼谷秋完成签到 ,获得积分10
6秒前
6秒前
清风发布了新的文献求助10
10秒前
Marine吃苹果完成签到 ,获得积分10
15秒前
15秒前
慕青应助安静的跳跳糖采纳,获得20
15秒前
干净的琦应助青枫木叶采纳,获得200
15秒前
FL关注了科研通微信公众号
17秒前
orca完成签到,获得积分10
18秒前
20秒前
HJJHJH发布了新的文献求助20
21秒前
22秒前
zorro3574发布了新的文献求助10
22秒前
斯文败类应助顺利采纳,获得10
22秒前
Linkkk发布了新的文献求助10
24秒前
CrystalL完成签到,获得积分10
25秒前
Chocolate完成签到,获得积分10
25秒前
未来2418发布了新的文献求助10
26秒前
27秒前
缪甲烷发布了新的文献求助10
27秒前
大丸子完成签到 ,获得积分10
28秒前
FL发布了新的文献求助10
30秒前
王一刻发布了新的文献求助10
31秒前
Akim应助未来2418采纳,获得10
31秒前
探索未知的世界应助HJJHJH采纳,获得10
33秒前
36秒前
Reece完成签到,获得积分10
38秒前
39秒前
40秒前
42秒前
zcx发布了新的文献求助10
42秒前
Lmad发布了新的文献求助10
43秒前
HMG1COA完成签到 ,获得积分10
45秒前
48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
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 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 7711020
求助须知:如何正确求助?哪些是违规求助? 9267522
关于积分的说明 20066455
捐赠科研通 7287343
什么是DOI,文献DOI怎么找? 3297138
关于科研通互助平台的介绍 2451592
邀请新用户注册赠送积分活动 2304182