Live-streaming E-commerce operations: is it wise for manufacturers to use AI streamers when human streamers face a goodwill crisis?

商誉 产品(数学) 业务 损害赔偿 投资(军事) 营销 面子(社会学概念) 人力资本 商业 经济 风险分析(工程) 产业组织 广告 工程类
作者
Xiaojun Fan,Lu Zhang
标识
DOI:10.6084/m9.figshare.31245419
摘要

In addition to selling products directly to consumers in traditional online channels through an e-platform at a traditional online price, a manufacturer sells products in live-streaming channels by employing a human streamer. Human streamers with goodwill can attract additional consumers (fan size). However, they may make erroneous statements during live-streaming sales, triggering a goodwill crisis that damages product sales. In response, some manufacturers invest in artificial intelligence (AI) streamers to support product sales in traditional online channels, but at investment costs. However, most existing literature focuses on the human streamer’s fan size and rarely considers goodwill crises. Therefore, we develop a game-theoretic model to examine the impact of goodwill crises and further explore manufacturers’ preferences for human and AI streamers. The main findings are as follows. Intuitively, when the crisis damage degree is high, manufacturers invest in AI streamers. However, we find that only when the human streamer’s fan size is low, manufacturers choose AI streamers that are profitable if the crisis damage degree is high. Otherwise, manufacturers still choose human streamers. Further, manufacturers investing in AI streamers can increase the e-platform’s profit.
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
柚子茶完成签到 ,获得积分10
刚刚
Joyce发布了新的文献求助50
刚刚
科研通AI6.4应助serendipity采纳,获得10
刚刚
zhangy完成签到,获得积分10
1秒前
深情安青应助高兴的风华采纳,获得10
2秒前
2秒前
酷酷的万恶完成签到 ,获得积分10
2秒前
小朱发布了新的文献求助10
2秒前
一夜暴富关注了科研通微信公众号
3秒前
摸鱼仙人完成签到,获得积分10
3秒前
祝余完成签到 ,获得积分10
3秒前
5秒前
5秒前
5秒前
5秒前
balabala完成签到,获得积分10
6秒前
树叶有专攻完成签到,获得积分10
6秒前
7秒前
夜安发布了新的文献求助10
7秒前
怡然的复天完成签到,获得积分10
7秒前
zhh完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
傅姐完成签到 ,获得积分10
9秒前
yuyuyuan发布了新的文献求助10
9秒前
10秒前
江清月近人完成签到,获得积分10
11秒前
12秒前
12秒前
认真代曼发布了新的文献求助30
12秒前
祝余发布了新的文献求助10
12秒前
隐形曼青应助毛毛采纳,获得10
12秒前
Taylor发布了新的文献求助10
12秒前
麦克疯完成签到,获得积分10
13秒前
14秒前
urologywang发布了新的文献求助10
16秒前
17秒前
17秒前
17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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359136
求助须知:如何正确求助?哪些是违规求助? 8173192
关于积分的说明 17212908
捐赠科研通 5414217
什么是DOI,文献DOI怎么找? 2865393
邀请新用户注册赠送积分活动 1842789
关于科研通互助平台的介绍 1690934