Does Social Media Dominate Government Report Cards in Influencing Nursing Home Demand?

业务 社会化媒体 代理(统计) 质量(理念) 优势(遗传学) 政府(语言学) 营销 基因 法学 计算机科学 政治学 机器学习 认识论 语言学 化学 生物化学 哲学
作者
Yuanchen Li,Lauren Xiaoyuan Lu,Susan Lu
出处
期刊:Manufacturing & Service Operations Management [Institute for Operations Research and the Management Sciences]
卷期号:25 (6): 2085-2105 被引量:6
标识
DOI:10.1287/msom.2021.0303
摘要

Problem definition: Social media has become an indispensable platform for disseminating quality information to consumers across various service sectors. Recently, it has extended its influence to healthcare services, which traditionally relied on government report cards to disclose standardized quality information to the public. This article explores the impact of social media on consumer demand for healthcare services and compares its effectiveness with government report cards. Methodology/results: We analyze quality ratings of U.S. nursing homes collected from two information channels: (1) consumer ratings on Yelp and (2) government ratings on Nursing Home Compare, both of which adopt a five-star quality rating scale and are accessible on the Internet. We employ the method of difference-in-differences with continuous treatment intensity and instrumental variables to analyze the data. Using nursing home resident admissions as a proxy for consumer demand, we find that higher Yelp ratings led to higher consumer demand, particularly among Medicare-covered consumers. Furthermore, the effect of Yelp ratings was primarily driven by extreme ratings (one-star or five-star), as opposed to neutral ratings. We also find that Yelp ratings exerted a stronger effect on consumer demand than government ratings. This dominance of Yelp ratings over government ratings was observed primarily in markets with high Yelp penetration or markets with low and medium consumer education levels. Although higher Yelp ratings were associated with increased net incomes, we find little evidence that nursing homes made quality improvement in response to their Yelp ratings. Managerial implications: We recommend that the Centers for Medicare and Medicaid Services recognize social media platforms as valuable sources of information and collaborate with reputable platforms, such as Yelp, to promote public awareness of government report cards like Nursing Home Compare. Moreover, we advise nursing home operators to proactively manage their reputation on social media by promptly addressing consumer complaints and implementing quality improvement measures. Funding: Y. Li was supported by the National Natural Science Foundation of China [Grant 72301193], the Shanghai Sailing Program [Grant 22YF1451000], and the Fundamental Research Funds for the Central Universities. S. F. Lu was supported by the Gerald Lyles Rising Star fund. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2021.0303 .
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
你好发布了新的文献求助10
1秒前
wlnwafu完成签到,获得积分20
1秒前
2秒前
LLF完成签到,获得积分10
2秒前
卡皮巴拉yuan应助善良的焦采纳,获得30
2秒前
2秒前
2秒前
杭泽发布了新的文献求助10
3秒前
3秒前
HOAN应助cjh采纳,获得30
4秒前
菠萝发布了新的文献求助10
4秒前
傲娇的小松鼠完成签到 ,获得积分10
4秒前
111关注了科研通微信公众号
5秒前
6秒前
6秒前
香蕉觅云应助李LLL采纳,获得10
7秒前
优美紫槐发布了新的文献求助10
7秒前
00发布了新的文献求助10
7秒前
8秒前
量子星尘发布了新的文献求助10
9秒前
默默诗筠完成签到,获得积分20
9秒前
haoooooooooooooo应助你好采纳,获得10
9秒前
www发布了新的文献求助10
10秒前
星星完成签到,获得积分10
11秒前
11秒前
childghost完成签到,获得积分10
12秒前
13秒前
Apricity完成签到,获得积分10
13秒前
优美紫槐发布了新的文献求助30
14秒前
14秒前
量子星尘发布了新的文献求助10
14秒前
满江红完成签到,获得积分10
14秒前
14秒前
15秒前
烟花应助00采纳,获得10
15秒前
111111完成签到 ,获得积分10
16秒前
16秒前
Moonboss完成签到 ,获得积分10
16秒前
所所应助yu采纳,获得10
18秒前
情怀应助淮上有秋山采纳,获得10
18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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5711738
求助须知:如何正确求助?哪些是违规求助? 5205626
关于积分的说明 15265191
捐赠科研通 4863974
什么是DOI,文献DOI怎么找? 2611057
邀请新用户注册赠送积分活动 1561379
关于科研通互助平台的介绍 1518704