Corporate Use of Social Media After ESG Incidents

业务 突出 公司治理 社会化媒体 事件(粒子物理) 事故报告 构造(python库) 营销 企业社会责任 公共关系 计算机科学 财务 计算机安全 万维网 人工智能 物理 程序设计语言 量子力学 政治学
作者
Jingchuan Pu,Hongyu Shan,Tao Yuan
出处
期刊:Production and Operations Management [Wiley]
卷期号:34 (9): 2560-2578 被引量:4
标识
DOI:10.1177/10591478241277205
摘要

Despite increasing investments in Environmental, Social, and Governance (ESG) initiatives and practices, firms often fail to meet public expectations, causing ESG incidents. While firms often choose to remain silent after an incident, we argue that this is not attractive to firms anymore on social media platforms, where consumers and stakeholders can freely share information and concerns. That is, firms tend to use official social media accounts to increase communication frequency and communicate with stakeholders about the incidents (i.e., incident-related posts) after the occurrences. We are also interested in the extent to which firms would adjust their use of social media in terms of non-incident-related posts, as the current prevailing practical advice and studies offer contradicting predictions. Using data from different sources, we construct an event-based firm-day dataset and empirically show that firms significantly increase the number of social media posts after ESG incidents. The impact is more salient for firms in consumer-oriented industries and when the incident is more impactful. Using a semi-supervised, dictionary-based approach, we delve into the content of tweets and demonstrate that firms are inclined to increase both the number of incident-related and the number of non-incident-related tweets after an ESG incident. The follow-up analyses at the incident level indicate that firms that post more after an ESG incident experience a better reaction from the capital market, especially for customer-oriented firms or incidents that receive high attention from the traditional media.
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
JingJing发布了新的文献求助10
刚刚
EVSSDF应助Arthur采纳,获得30
刚刚
2秒前
2秒前
德国克大夫完成签到,获得积分10
2秒前
隐形曼青应助omixi采纳,获得10
3秒前
即投即中完成签到,获得积分10
3秒前
4秒前
毕双洲完成签到,获得积分10
5秒前
321完成签到,获得积分10
5秒前
科研通AI2S应助梦辞采纳,获得10
7秒前
Blaseaka完成签到 ,获得积分0
8秒前
8秒前
9秒前
10秒前
那束光发布了新的文献求助10
11秒前
Xiaosi完成签到,获得积分10
11秒前
Arthur完成签到,获得积分10
12秒前
12秒前
烦烦烦发布了新的文献求助10
12秒前
jkxbb完成签到 ,获得积分10
12秒前
xxx7749完成签到,获得积分10
13秒前
一只小橘子完成签到,获得积分10
13秒前
震荡发布了新的文献求助50
14秒前
14秒前
qq完成签到,获得积分10
14秒前
乱飞的令牌完成签到 ,获得积分20
15秒前
15秒前
Ahui完成签到 ,获得积分10
16秒前
16秒前
11发布了新的文献求助10
16秒前
快乐的树叶完成签到 ,获得积分10
16秒前
doranlou发布了新的文献求助10
17秒前
ding应助741852采纳,获得10
17秒前
17秒前
李先生完成签到 ,获得积分10
18秒前
18秒前
天天快乐应助合适的夏寒采纳,获得10
18秒前
19秒前
光工刘完成签到,获得积分10
20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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
Transdermal drug delivery systems market size report 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 7641403
求助须知:如何正确求助?哪些是违规求助? 9214480
关于积分的说明 19766185
捐赠科研通 7206956
什么是DOI,文献DOI怎么找? 3276254
关于科研通互助平台的介绍 2437945
邀请新用户注册赠送积分活动 2273824