Firm-Created Word-of-Mouth Communication: Evidence from a Field Test

口头传述的 意见领导 营销 要价 领域(数学) 产品(数学) 广告 样品(材料) 业务 比例(比率) 计算机科学 考试(生物学) 公共关系 政治学 数学 生物 几何学 古生物学 化学 物理 纯数学 量子力学 财务 色谱法
作者
David Godes,Dina Mayzlin
出处
期刊:Marketing Science [Institute for Operations Research and the Management Sciences]
卷期号:28 (4): 721-739 被引量:848
标识
DOI:10.1287/mksc.1080.0444
摘要

In this paper, we investigate the effectiveness of a firm's proactive management of customer-to-customer communication. We are particularly interested in understanding how, if at all, the firm should go about effecting meaningful word-of-mouth (WOM) communications. To tackle this problem, we collect data from two sources: (1) we implement a large-scale field test in which a national firm created word of mouth through two populations: customers and noncustomers, and (2) we collect data from an online experiment. We break our theoretical problem into two subproblems. First, we ask: “What kind of WOM drives sales?” Motivated by previous research, we hypothesize that for a product with a low initial awareness level, WOM that is most effective at driving sales is created by less loyal (not highly loyal) customers and occurs between acquaintances (not friends). We find support for this in the field test as well as in an experimental setting. Hence, we demonstrate the potential usefulness of exogenously created WOM: conversations are created where none would naturally have occured otherwise. Then, we ask: “Which agents are most effective at creating this kind of WOM?” In particular, we are interested in evaluating the effectiveness of the commonly used opinion leader designation. We find that although opinion leadership is useful in identifying potentially effective spreaders of WOM among very loyal customers, it is less useful for the sample of less loyal customers.
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
唔西迪西完成签到,获得积分10
刚刚
于思枫完成签到,获得积分10
1秒前
田様应助KBRS采纳,获得10
1秒前
1秒前
yusiyu完成签到 ,获得积分10
2秒前
陈泽宇完成签到,获得积分10
2秒前
一路向北发布了新的文献求助10
3秒前
灰雁应助昏睡的藏鸟采纳,获得10
4秒前
Joye完成签到,获得积分10
5秒前
Oxidase发布了新的文献求助10
5秒前
yyx完成签到,获得积分10
5秒前
彭于晏应助QQ采纳,获得10
6秒前
萍乡斌乃完成签到,获得积分10
7秒前
jobeco应助ASH采纳,获得10
7秒前
8秒前
万能图书馆应助四月妹妹采纳,获得10
9秒前
橘字完成签到,获得积分10
9秒前
9秒前
香蕉觅云应助KBRS采纳,获得10
10秒前
月季花季完成签到 ,获得积分10
10秒前
hoyden完成签到,获得积分10
11秒前
JNN完成签到,获得积分10
11秒前
yh完成签到,获得积分10
12秒前
12秒前
闵杰完成签到,获得积分10
13秒前
科目三应助薄荷采纳,获得10
13秒前
13秒前
完美世界应助sun采纳,获得10
14秒前
14秒前
14秒前
pig_chivalrous完成签到,获得积分10
15秒前
Whywhy发布了新的文献求助10
15秒前
lucky发布了新的文献求助10
15秒前
倾城关注了科研通微信公众号
17秒前
Resign发布了新的文献求助10
17秒前
18秒前
桃柠发布了新的文献求助10
20秒前
Vincent完成签到 ,获得积分10
21秒前
21秒前
Owen应助细腻戒指采纳,获得10
22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
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7767737
求助须知:如何正确求助?哪些是违规求助? 9311262
关于积分的说明 20322524
捐赠科研通 7352659
什么是DOI,文献DOI怎么找? 3315451
关于科研通互助平台的介绍 2464733
邀请新用户注册赠送积分活动 2330087