The Impact of Online Media Big Data on Firm Performance: Based on Grey Relation Entropy Method

被引：4
|
作者：
Qin, Hai-qing [1 ]
Li, Zhen-hui [1 ]
Yang, Jia-jia [2 ]
机构：
[1] Commun Univ China, Sch Econ & Management, Beijing 100024, Peoples R China
[2] Kings Coll London, Dept Publ Policy, London WC2R 2LS, England
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2020年 / 2020卷
基金：
中国国家自然科学基金;
关键词：
INFORMATION;
D O I：
10.1155/2020/1847194
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The study uses the grey relation entropy method to explore the impact of online media big data on firm performance, based on 17 randomly selected Chinese A-share listed companies during the period from 2012 to 2017. It shows that the media big data, especially the negative media coverage, is highly associated with both short-term and long-term firm performance. Then, this study employs the system GMM method to testify how negative media coverage affects firm performance. It indicates that negative media coverage may be a damage crisis for the focal firm in the short term, but a favorable chance for change in the long run. These findings not only enrich the research on the influence of online media big data but also provide some references for enterprise managers.
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收藏
页数：7
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